Abstract
Rapid population growth demands research on alternative, nutritionally rich food crops that can sustain food security, mitigate cultivation risks associated with climate change, and reduce dependence on mono- and few-crop systems. Several underutilized crops have been cultivated for centuries, but their use often remains country- or continent-specific, with limited scientific documentation and dissemination to regions facing major nutritional challenges. Moringa is one such promising crop; with rich nutrients, its plant parts, from root to pod, are edible or useful, and it also contributes to environmental cleansing. However, its wider utilization is constrained by anti-nutritional factors (ANFs) such as alkaloids, tannins, saponins, oxalates, glucosinolates (GSLs) and phytic acid, which reduce nutrient bioavailability and may cause adverse health effects. Various methods, including microbial fermentation, have proven effective at reducing these ANFs. For instance, lactic acid and solid-state fermentation can substantially reduce the enzymatic degradability of ANFs such as phytate, tannins, and GSLs while improving mineral bioavailability. In parallel, genetic and biotechnological approaches improving moringa offer substantial potential to alleviate malnutrition and enhance environmental and agronomic performance through better yield, quality, and stress resilience, along with ANF reduction. This review synthesizes current knowledge on moringa botany, crop diversity and summarizes genetic and biotechnological approaches, including omics resources, conventional breeding, microbial fermentation, and emerging genome-editing strategies, to improve yield and nutritional quality while reducing ANFs. By outlining the benefits of moringa, identifying major knowledge gaps, and highlighting future research priorities, this review aims to guide the strategic development and global deployment of moringa as a resilient, nutrient-dense crop for sustainable food and nutrition security.
Introduction
Global population growth, climate change, and over-reliance on a few staple cereals threaten future food and nutrition security. Diversifying production with nutrient-dense, climate-resilient crops is therefore a key strategy to reduce vulnerability to yield shocks and micronutrient deficiencies.
Moringa oleifera is often described as a multipurpose or “miracle” tree because almost every part of the plant is used as food, feed or raw material: young pods and leaves as vegetables; dried leaf powder as a micronutrient supplement; seed cake as livestock feed, roots, bark, and flowers in traditional medicine; and seed oil for cosmetics and biodiesel (; Mabusela et al., 2018; Karunagaran et al., 2025). It provides numerous health benefits, including anti-cancer, anti-inflammatory, anti-diabetic, and anti-bacterial properties (Ma et al., 2020). Also, the bioactive compounds (polyphenols and alkaloids) in moringa help reduce the risks of chronic diseases (Vergara-Jimenez et al., 2017). In addition, moringa is used in agroforestry systems as a living fence and shade tree, and crushed seeds serve as natural coagulants for water clarification, giving the crop relevance for both nutritional and environmental benefits (; ; ; ; Yamaguchi et al., 2021; Horn et al., 2022).
M. oleifera is a diploid species (2n = 28) belonging to the family Moringaceae. Moringa has a deep root system with spreading lateral roots. Figure 1A illustrates the morphology of Moringa oleifera. The leaves are compound, consisting of eight to ten pairs of pinnae, each bearing two pairs of dark green leaflets with a rounded apex and red-tinged veins. Figure 1B shows the floral morphology of M. oleifera at two scales: an individual flower (A) and the inflorescence (B). The flowers are hermaphroditic, zygomorphic, pentamerous, and white or creamy white; as seen in the individual flower (A), the calyx consists of five linear, lobed sepals that are reflexed, lanceolate, and tubular outside, and the corolla bears five petals and stamens surrounding a superior ovary. The inflorescence (B) is a axillary panicle; moringa flowers twice yearly, or year-round in some varieties, and is predominantly cross-pollinated, a reproductive trait that shapes the breeding strategies discussed below. Figure 1C illustrates the diversity in pod length in moringa, comparing the pod of an annual type (A) with those of a perennial type (B). The fruit is a three-valved, elongated, non-dehiscent pod whose length varies from 30 to 120 cm and contains dark brown to black seeds. The seeds are round with three papery wings ().
Figure 1
Moringa species are fast-growing, drought-tolerant trees and shrubs distributed primarily across the Indian subcontinent, East Africa, and the Arabian Peninsula, with Moringa oleifera Lam. being the most widely cultivated species (Olson and Carlquist, 2001). The name “moringa” is derived from the Tamil word “murungai” and reflects its long history of cultivation in South India (). Although widely grown throughout the tropics and subtropics, M. oleifera is believed to have originated in the sub-Himalayan region of Northern India (Leone et al., 2015).
Moringa thrives in both arid and semi-arid environments. The genus Moringa has 13 cultivable species: 1. M. arborea Verdc.; 2. M. borziana Mattei; 3. M. concanensis Nimmo ex Dalzell & A. Gibson.; 4. M. drouhardii Jum.; 5. M. hildebrandtii Engl.; 6. M. longituba Engl.; 7. M. oleifera Lam.; 8. M. ovalifolia Dinter & A. Berger; 9. M. peregrina (Forssk.) Fiori.; 10. M. pygmaea Verdc.; 11. M. ruspoliana Engl.; 12. M. rivae Chiov.; and 13. M. stenopetala (Baker f.) Cufod (Leone et al., 2015; Mashamaite et al., 2020). Figure 2 depicts the geographical distribution of Moringa species. Although the genus as a whole spans Africa and Asia, species richness is heavily concentrated in Africa, with only a few species native to Asia; the country-wise distribution is summarized in Table 1. Beyond cataloging occurrence, this pattern reveals a strong center of species diversity in the Horn of Africa and adjacent arid zones, where most of the 13 species are endemic, in contrast to the near-global but largely single-species (M. oleifera) cultivated distribution elsewhere, a contrast with direct implications for where wild genetic resources for breeding must be sourced and conserved.
Figure 2
Table 1
| Moringa species- label | Moringa species | Countries | References |
|---|---|---|---|
| 1 | Moringa arborea Verdc., Moringa stenopetala (Baker f.) Cufod., Moringa longituba Engl., Moringa rivae Chiov., Moringa borziana Mattei | Kenya | Plants of the World Online, 2026 (POWO, 2026) (Data available at https://powo.science.kew.org/) Leone et al., 2015; Mashamaite et al., 2020 and . |
| 2 | Moringa borziana Mattei, Moringa longituba Engl., Moringa pygmaea Verdc. | Somalia | |
| 3 | Moringa ruspoliana Engl., Moringa stenopetala (Baker f.) Cufod., Moringa longituba Engl., Moringa rivae Chiov., Moringa borziana Mattei | Ethiopia | |
| 4 | Moringa drouhardii Jum., Moringa hildebrandtii Engl. | Madagascar | |
| 5 | Moringa ovalifolia Dinter & A. Berger | Namibia, Angola | |
| 6 | Moringa peregrina (Forssk.) Fiori | Djibouti, Egypt, Eritrea, Ethiopia, Gulf States, Lebanon-Syria, Oman, Palestine, Saudi Arabia, Sinai, Somalia, Sudan-South Sudan, and Yemen | |
| 7 | Moringa concanensis Nimmo ex Dalzell & A. Gibson Moringa oleifera Lam. | India and Pakistan |
Global distribution of Moringa species.
These Moringa species are further classified into four morphological groups (Olson and Carlquist, 2001). (1) Bottle trunk trees: This group includes M. ovalifolia, M. stenopetala (Baker f.) Cufod., M. drouhardii Jum., and M. hildebrandtii Engl. Figure 3A represents the bottle-trunk types (bottle-like stems with radially symmetrical flowers). Distinctively, in this group, M. drouhardii Jum. and M. hildebrandtii Engl. have branches and leaves only at the top of the trees and give a palm-like appearance. (2) Sarcorhizal trees: This group includes 2 species, M. arborea Verdc., M. ruspoliana Engl. (3) Slender trunk trees: Figure 3B describes the slender trunk trees. This group includes three species, M. concanensis Nimmo, M. oleifera Lam., M. peregrina (Forssk.) Fiori. (4) Tuberous shrubs: This group comprises four species, M. borziana Mattei, M. longituba Engl., M. pygmaea Verdc., and M. rivae Chiov. These species are shrubs and herbs with tubers. Among these M. arborea, M. borziana, M. longituba, M. rivae, M. ruspoliana, and M. stenopetala are categorized as endangered, with M. arborea specifically listed as a threatened species (World Conservation Monitoring Centre, 1998), while M. hildebrandtii has been classified as extinct (Olson and Razafimandimbison, 2000).
Figure 3
Numerous reviews have summarized the phytochemistry, pharmacology, and nutritional properties of M. oleifera and its applications as a functional food or medicinal plant (; Kashyap et al., 2022; Pop et al., 2022; Pareek et al., 2023). However, previous work has paid comparatively little attention to the genetic resources and breeding history of moringa, emerging omics and genome resources, and the systematic comparison of biological ANFs-reduction strategies, such as microbial fermentation versus new genomic techniques (NGTs), including genome editing. This review therefore (i) synthesizes current knowledge on crop improvement approaches, (ii) summarizes available omics data and candidate genes related to major ANFs, and (iii) critically evaluates microbial fermentation and genome-editing-based strategies for reducing ANFs, highlighting key research gaps and future directions for developing low-ANF, high-nutrient moringa cultivars and products.
Crop improvement approaches
Moringa crop improvement is critical for unlocking its underutilized nutritional and medicinal potential and for making it a reliable contributor to global food security. The existence of substantial genetic variability across globally maintained germplasm collections constitutes the prerequisite for any breeding program. The Indian Council of Agricultural Research - National Bureau of Plant Genetic Resources (ICAR-NBPGR), India holds 257 accessions; the Horticultural College and Research Institute (HC&RI) of Tamil Nadu Agricultural University (TNAU), Periyakulam, Tamil Nadu, India maintains approximately 70–90 accessions; and the World Vegetable Centre, Taiwan collection spans more than 70 accessions from 12 countries across Africa, Asia, and the America and Moringa Genebank of Embrapa Tabuleiros Costeiros, Sergipe state, Brazil holds 25 accessions (; Soares et al., 2024).
In India, moringa trees are commonly grown in backyards as multipurpose trees, particularly in South Indian states such as Tamil Nadu, Karnataka, Kerala, and Andhra Pradesh.Varied annual and perennial genotypes are grown in India, particularly Tamil Nadu, depending on local production goals, market demand, and food habits; the principal ecotypes, Moolanur moringa, Karumbu murungai, Chavakacheri murungai, Jaffna moringa, and Kappalpatti murungai, are each characterized by distinct pod size, flesh content, plant stature, flowering, and color (Table 2). Read together, these ecotypes show that much of moringa’s exploitable variation in pod and stature traits already resides in farmer-maintained perennial germplasm rather than in formally bred lines, underscoring the value of characterizing this material systematically before it is lost.
Table 2
| S. No. | Accession | District(s) | Particulars |
|---|---|---|---|
| 1. | Moolanur moringa | Karur and Dharapuram |
|
| 2. | Valayapatti moringa | Madurai |
|
| 3. | Chavakacheri moringa | All districts |
|
| 4. | Chemmurungai | All districts |
|
| 5. | Jaffna | Tirunelveli and Tuticorin |
|
| 6. | Kattumurungai or Peyimurungai | Perambalur |
|
| 7. | Kodikkalmurungai | Tiruchirapalli |
|
| 8. | Palmurungai | Kanyakumari |
|
| 9. | Punamurungai | Tirunelveli and Kanyakumari |
|
| 10. | Palamedu moringa | Madurai |
|
Genetic resources (local perennial moringa accessions) of annual and perennial moringa (M. oleifera and M. concanensis) in Tamil Nadu, India (; Kumar et al., 2014).
Together, these germplasm collections will constitute a valuable reservoir of allelic diversity that can be systematically exploited to address key breeding objectives.
These key breeding objectives would include: (1) Yield improvement: Developing cultivars with increased leaf biomass and pod yield; (2) Nutritional biofortification: Developing cultivars with elevated concentrations of iron, zinc, protein, β-carotene, and vitamins; (3) Early maturity: Short-duration, annual cultivars that initiate early flowering and pod set; (4) Off-season cultivars: Year-round pod harvest in perennial moringa cultivars; (5) Disease and pest resistance: Develop cultivars with increased resistance to common pathogens (powdery mildew, root rot) and pests (bark borer, pod fly) (6) Abiotic stress tolerance: Develop varieties tolerant to extreme climatic conditions (heat, drought, salinity). (7) Mechanized harvesting: Develop short-statured and annual-type plants with uniform flowering amenable to mechanized harvest. (8) Extended shelf-life: Extended post-harvest shelf life of leaves and pods. Collectively, these objectives define a comprehensive breeding framework for transforming moringa into a resilient, nutritionally dense, and commercially viable crop.
Extensive progress has been made in breeding annual moringa, especially in southern India, leading to the release of several high-yielding varieties by the Indian Institute of Horticultural Research (IIHR) and state agricultural universities (Varalakshmi and Devaraju, 2007). Plant introduction was one of the earliest approaches employed: Sri Lankan genotypes such as ‘Jaffna’ and ‘Chavakacheri murungai’ were evaluated and successfully introduced into Indian production systems, demonstrating adaptation to South Indian agroclimatic conditions and contributing to local germplasm diversity (Minakshi et al., 2021). Mass selection and classical hybridization are the main conventional breeding approaches used for moringa improvement. Mass selection involves selecting visually similar plants, allowing open pollination, and bulk-collecting equal seed quantities from them; this method helped develop the annual cultivar PKM 1 at Tamil Nadu Agricultural University, Coimbatore. PKM 1 was developed primarily through mass selection, with subsequent purification achieved via pure-line selection. In contrast, classical hybridization combines genetically distinct parents to create improved progeny, as seen in PKM 2, which was developed from a cross between MP 31 and MP 38 and showed a higher yield than PKM 1.
Similarly, mutation breeding relies on inducing heritable genetic changes using physical mutagens, such as gamma rays, or chemical mutagens, such as ethyl methane sulphonate (EMS) and methyl methane sulphonate (MMS), to generate novel variation for selection. From the annual moringa variety PKM 1, several mutant genotypes, viz., 15-1-09, 35-1-62, 35-1-63, and 35-1-68, were developed through gamma rays (100–300 Gy) and EMS (0.15-0.25%). Among these, superior mutants 15-1-09-39 and 35-1-62-72 exhibited high diversity for hypocotyl and shoot color, leaf biomass, pod yield, and growth habit, indicating the effectiveness of induced mutagenesis for improving yield-related and morphological traits in moringa ().
A recurring challenge emerges from conventional breeding approaches in moringa. Mass selection has successfully produced released cultivars, most notably PKM 1, but repeated selection may reduce the genetic variation available for continued genetic improvement. Conversely, approaches that preserve or generate new variation, such as hybridization and induced mutagenesis, face practical challenges because moringa is an obligate outcrossing species, making the development and maintenance of stable inbred parental lines difficult. Collectively, these factors may contribute to the relatively limited number of released cultivars, which have primarily been selected for agronomic performance, particularly yield, rather than for reduced ANFs. Consequently, while conventional breeding remains effective for improving many agronomic traits, it appears less well suited for the complex, quantitative, and biochemically regulated ANF traits emphasized in this review. This limitation highlights the potential value of integrating conventional breeding with omics-enabled gene discovery and genome-editing approaches to accelerate the development of nutritionally improved moringa cultivars.
Molecular characterization of natural populations in moringa has been done using Amplified Fragment Length Polymorphism (AFLP) and Random Amplified Polymorphic DNA (RAPD) markers (Muluvi et al., 1999; Saini et al., 2013; Rufai et al., 2013). A co-dominant Simple Sequence Repeat (SSR) marker was identified and used, along with morphological markers, for diversity studies, thereby enhancing efficiency in moringa breeding programs (Minakshi et al., 2021). The genetic stability of various micropropagation systems can be ensured by using Random Amplified Microsatellite Polymorphism (RAMP) markers (), providing a quality-control tool for elite genotype multiplication. Kumar et al. (2017) reported that RAPD and cytochrome P450 markers (CytP450) produced substantial polymorphism, with 79.68% and 86.44% polymorphic bands, respectively. These high polymorphism values make RAPD and CytP450 markers effectively useful to identify allelic variants in closely related moringa genotypes for breeding purposes. A 2024 study at ICAR-Indian Institute of Horticultural Research (Bangalore) found that several Expressed Sequence Tag - Simple Sequence Repeat (EST-SSR) markers had sequence similarity to PR (pathogenesis-related) genes, suggesting direct utility for screening disease resistance in breeding programs (Narayana et al., 2024).
Taken together, these marker studies indicate that moringa harbors substantial exploitable genetic variation, although the available evidence remains methodologically fragmented and difficult to integrate across studies. Early RAPD and AFLP analyses (Muluvi et al., 1999; Saini et al., 2013; Rufai et al., 2013) established the presence of considerable genetic diversity but relied on dominant marker systems, limiting cross-study comparability. More recent co-dominant SSR and EST-SSR markers (Minakshi et al., 2021; Narayana et al., 2024) provide more transferable and potentially function-linked tools for breeding, although their application has so far been limited to relatively small and geographically restricted germplasm panels. Consequently, while molecular characterization has advanced considerably over the past three decades, the current literature does not yet indicate a widely adopted core germplasm collection or trait-linked marker set for breeding applications. Future efforts should therefore prioritize integrating existing germplasm resources into a shared, genotyped and phenotyped reference panel that links molecular variation with ANFs and nutritional traits, thereby enabling more effective marker-assisted selection and genomic improvement.
Beyond marker-assisted selection, genome-wide association studies (GWAS) and genomic selection have transformed the improvement of quality and anti-nutritional traits in major crops, including the dissection of GSL variation in Brassica and rapid-cycle selection in cereals (; Kittipol et al., 2019; Tan et al., 2021). In moringa, however, these approaches are not yet practically deployable because the necessary large, structured, and densely genotyped reference population with matched phenotyping for ANF and nutritional traits is lacking. Developing such a panel across the available germplasm collections is therefore a prerequisite for future GWAS and genomic selection in moringa.
Some of the successful moringa varieties released by state agricultural universities in South India include PKM 1 and PKM 2 (Tamil Nadu Agricultural University), Anupama (Kerala Agricultural University), and Dhanraj (University of Agricultural Sciences, Karnataka). These annual moringa varieties form a crucial component of the seed chain. The key features of these annual moringa varieties, such as plant stature, earliness, pod length, yield potential, and suitability for intensive cultivation, are shown in Table 3. A notable trend across these released varieties is their convergence toward short-statured, early, annual types optimized for intensive cultivation, which have advanced yield and harvest convenience but have left nutritional quality and ANF content largely unaddressed, a gap that motivates the biofortification and ANF-reduction objectives developed in this review.
Table 3
| S. No. | Variety | Institute | Breeding approach | Special traits |
|---|---|---|---|---|
| 1. | PKM 1 | TNAU, Tamil Nadu, India | Selection |
|
| 2. | PKM 2 | TNAU, Tamil Nadu, India | Hybridization and selection |
|
| 3. | KM 1 | TNAU, Tamil Nadu, India | Selection |
|
| 4. | Dhanraj | UAS, Karnataka, India | Selection |
|
| 5. | Anupama | KAU, Kerala, India | Selection |
|
Improved annual M. oleifera varieties predominantly cultivated in India ().
The crop improvement approach in moringa is largely driven by its germplasm diversity, which provides a strong foundation for systematic breeding programs. In India, the major species include M. oleifera and M. concanensis. Both annual and perennial types contribute valuable traits for crop improvement, such as higher yield, nutritional enhancement, early maturity, stress resistance, and improved post-harvest and mechanization traits. Conventional breeding methods were widely used for varietal development. However, the success of molecular markers and associated omics technologies in other crops is to be experimented with in moringa to hasten its crop improvement programs.
Omics in moringa
The omics approaches, including genomics, transcriptomics, proteomics, and metabolomics for moringa, are still at an early stage but are advancing rapidly. Early metabolomics work by used Liquid Chromatography-Mass Spectrometry (LC-MS) to generate the first tissue-wise profiles of GSLs and phenolic compounds across moringa organs, establishing a biochemical and metabolic foundation that can be later used for comparative and functional studies. Ndou et al. (2023) combined LC-MS with GNPS molecular networking to show that moringa leaves harbor a much more diverse flavonoid profile than previously recognized, with extensive glycosylation of quercetin, kaempferol, isorhamnetin, apigenin, luteolin, and chrysin generating numerous distinct structural isomers.
Genomic resources have advanced substantially over the last decade. The African Orphan Crop Consortium (AOCC) is currently encouraging genomic research on 101 orphan indigenous species and exotic plants from Africa, including moringa, to generate genomic data and identify the functions of the genes identified to enable crop improvement (). An initial AOCC draft genome based on Illumina short-read sequencing predicted approximately 18,451 protein-coding genes and provided the first genome-scale framework for moringa improvement (). This was superseded by a chromosome-scale assembly produced by using Oxford Nanopore long reads and Hi-C scaffolding, which resolved 22,714 annotated genes. The assembly revealed that tandem duplications play an important role in the biosynthesis of secondary metabolites, including GSLs, flavonoids, and alkaloids. Complementarily, Shyamli et al. (2021) generated a de novo long-read assembly for the cultivar Bhagya, predicting 32,062 protein-coding genes and, through integrated transcriptome profiling, identifying multiple heat-shock transcription factors and other candidate loci associated with drought stress responses.
Transcriptomic studies have further refined tissue- and species-level functional insights. Pasha et al. (2020) constructed cDNA libraries from leaf, root, stem, seed, and flower tissues of var. Bhagya, predicting 17,148 gene models and documenting high expression of enzymes involved in quercetin and kaempferol biosynthesis, vitamin pathways in leaves, flowers, and seeds, and metal-transport and storage proteins in roots. More recently, Shafi et al. (2022) produced comparative transcriptome profiles of M. oleifera and M. concanensis, revealing differential expression patterns that correlate with their reported anti-hyperglycemic activities.
The omics studies in moringa are still at an early stage but hold strong future potential. Current genomic, transcriptomic, and metabolomic data provide valuable insights into genes associated with yield, nutrition, stress tolerance, and bioactive compounds, thereby improving the understanding of the genetic and biochemical makeup of moringa. In the future, the integration of multiple omics approaches with advanced breeding and gene editing will enable more precise identification of useful genes and facilitate the development of improved varieties.
A further limitation is that moringa genomic, transcriptomic, and metabolomic datasets remain largely disconnected rather than integrated into a coherent systems framework. A systems-biology approach that integrates these layers via co-expression and metabolic network analyses would enable prioritization of candidate ANF genes based on their positions within regulatory and metabolic networks, thereby distinguishing pathway-specific tailoring enzymes from hub genes shared with primary metabolism. Such integration would move the current homology-based candidate lists in Table 4 toward network-informed, testable target sets and represent an important emerging direction for moringa improvement.
Table 4
| S. No. | Anti-nutritional compounds | Biosynthesis pathway | Enzyme | Moringa transcript id | Homology (% identity/coverage) |
|---|---|---|---|---|---|
| 1 | Tannins | Flavonoid pathway | phenylalanine ammonia lyase | *Morol04g06840b | 87.93% id; 100% cov to CpPAL1 |
| cinnamate 4-hydroxylase | ***MoBGI036277g0264.1a | 80.95% id; 99% cov to AtC3H | |||
| ***MoBGI036472g0011.1c | 86.51% id; 100% cov to BnC4H | ||||
| 4-coumarate-CoA ligase | *Morol01g09670b | 73.32% id; 100% cov to Cp4CL | |||
| chalcone synthase | *MoBGI036435g0009.1c | 85.13% id; 98% cov to BnCHS3 | |||
| chalcone isomerase | *Morol13g04870a | 67.74% id; 91% cov to AtCHI | |||
| flavonoid 3-hydrolase | *MoBGI016008g0001.1a | 80.49% id; 100% cov to AtF3H | |||
| dihydroflavonol reductase | ***MoBGI036102g0258.1a | 72.31% id; 93% cov to AtDFR | |||
| leucoanthocyanidin dioxygenase | *Morol11g04170e | 100% id; 100% cov to MoLDOX | |||
| leucoanthocyanidin reductase | *Morol01g03950d | 69.58% id; 85% cov to VvLAR | |||
| anthocyanidin reductase | *Morol12g02930d | 78.18% id; 98% cov to VvANR | |||
| 2 | Saponins | Mevalonate pathway | farnesyl pyrophosphate synthase | *Morol01g32000a | 81.52% id; 100% cov to AlFPS |
| beta amyrin synthase | *Morol10g07740a | 79.31% id; 99% cov to AtBAS | |||
| squalene epoxidase 2/3 | *Morol05g15470a | 79.88% id; 93% cov to AtSQE | |||
| *Morol02g05840a | 77.59% id; 85% cov to AtSQE | ||||
| squalene synthase 1 | *Morol02g15400a | 78.35% id; 86% cov to AtSQS1 | |||
| 3 | Glucosinolates | Glucosinolate pathway | branched-chain aminotransferase 3 | *Morol02g05750a | 76.68% id; 100% cov to AtBCAT3 |
| branched-chain aminotransferase 4/ branched-chain aminotransferase 6 | **MoBGI036143g0043.1a | 71.88% id; 99% cov to AtBCAT4/ AtBCAT6 | |||
| isopropyl malate isomerase large subunit 1 | *Morol08g05500a | 84.09% id; 100% cov to AtIIL1 | |||
| isopropyl malate dehydrogenase | *Morol01g30980c | 83.50% id; 100% cov to BnIMDH | |||
| *Morol11g05590b | 73.33% id; 81% cov to CpIMDH | ||||
| methylthioalkylmalate synthase | *Morol01g33750a | 81.41% id; 91% cov to AtMAM | |||
| cytochrome P450 83B1 | *Morol05g01530b | 77.45% id; 96% cov to CpCYP83B1 | |||
| *Morol05g01540b | 80.08% id; 100% cov to CpCYP83B1 | ||||
| glutathione S-transferase U19 | ***MoBGI036109g0057.1a | 75.93% id; 98% cov to AtGSTU19 | |||
| S- alkyl-thiohydroximate lyase | *Morol08g17210b | 64.58% id; 97% cov to CpSUR1 | |||
| UDP-glycosyltransferase 74B1 | **MoBGI036338g0268.1b | 70.56% id; 94% cov to CpUDP74B1 | |||
| cytosolic sulfotransferase | ***MoBGI036273g0112.1a | 70.93% id; 96% cov to AtSOT | |||
| flavin monooxygenase | *Morol11g05000b | 78.23% id; 91% cov to CpFMOGS- OX | |||
| UDP- rhamnose:rhamnosyltransferase 1 | *Morol02g04890d | 60.56% id; 90% cov to VvRhaT1 | |||
| 5’-adenylsulfate reductases | *Morol03g21050b | 72.48% id; 99% cov to CpAPR5 | |||
| *Morol05g13450b | 76.85% id; 100% cov to CpAPR4 | ||||
| *Morol08g02120b | 71.06% id; 89% cov to CpAPR1 | ||||
| *Morol10g14100b | 78.49% id; 97% cov to CpAPR3 | ||||
| *Morol12g01880b | 87.1% id; 95% cov to CpAPR1 | ||||
| ATP-sulfurylase | *Morol08g07340b | 87.18% id; 100% cov to CpAPS1 | |||
| *Morol02g00230a | 77.51% id; 87% cov to AtAPS1 | ||||
| glutamate-cysteine ligase 1/ glutamate-cysteine ligase 2 | *Morol11g03330a | 80.34% id; 100% cov to AtGSH1/2 | |||
| O-acetylserine(thiol)lyase 1 | *Morol03g18660a | 81.07% id; 99% cov to AtOASA1 | |||
| 4 | Phytic acid | Myoinositol pathway | inositol 1,3,4-trisphosphate 5/6- kinase | *Morol09g00240d | 60.63% id; 100% cov to VvITPK4 |
| inositol 1,3,4-trisphosphate 5/6- kinase 3 | ***MoBGI036103g0067.1a | 80.29% id; 96% cov to AtITPK3 | |||
| inositol polyphosphate kinase 2 beta | *Morol01g11380a | 61.69% id; 94% cov to AtIPK2beta | |||
| ATP-binding cassette C5 | ***MoBGI000954g0462.1a | 86.75% id; 100% cov to AtMRP5 | |||
| phospholipase d a 1 | *Morol10g03140b | 88.24% id; 100% cov to CpPLDALPHA1 | |||
| regulator of chromosome condensation (RCC1) family with FYVE zinc finger domain | *Morol03g12400d | 89.72% id; 100% cov to VvPRAF1 | |||
| myo-inositol-1-phosphate synthase | ***MoBGI036201g0148.1c | 92.55% id; 100% cov to BnMIPS |
Putative ANFs biosynthesis candidate genes in M. oleifera.
Confidence level is based on pairwise sequence identity and alignment coverage relative to the closest characterized aArabidopsis thaliana, bCarica papaya, cBrassica napus , dVitis vinifera and eMoringa oleifera protein. Protiens were identified by BLAST homology to Arabidopsis thaliana and other model species; these are putative assignments may require experimental validation in moringa (e.g. expression profiling, reverse genetics, enzyme assays).
*Indicates genes with positive gene expression in 5 moringa tissues which includes flower, leaf, root, seed, stem (; Pasha et al., 2020). Dataset available at https://bioinformatics.psb.ugent.be/gdb/aocc/morolbgi/Moringa_version2/.
**Indicates genes with positive gene expression in 4 moringa tissues, including flower, leaf, seed, and stem ().
***Indicates genes that still require functional validation. Dataset available at https://bioinformatics.psb.ugent.be/orcae/aocc/overview/MorolBGI
ANFs and their reduction strategies
ANFs in moringa and their health impacts
Moringa is highly valued for its nutritional quality because its leaves, seeds, and flowers provide proteins, fiber, vitamins A, B, C, and E, and minerals such as iron, calcium, potassium, magnesium, zinc, and phosphorus. Moringa contains a favorable amino acid profile, including sulfur-containing amino acids, which makes it especially useful as a plant-based supplement in balanced diets. The favorable functional characteristics of proteins from moringa (viz, solubility, emulsification, foaming) make it a better candidate for processing industries for biofortification. Biofortifying moringa leaf powder can improve the nutrient density of cereal-based foods, breads, snacks, pasta, beverages, and dairy or meat products, helping address malnutrition and undernutrition. However, consumer acceptance of moringa-fortified foods is often limited by undesirable sensory traits, such as the addition of moringa powder or extracts, which impart a green color, flavor, and texture to the products. In particular, moringa can impart a strong green color and bitterness, which lowers overall acceptability.
These off-flavors are closely linked to the presence of ANFs, including alkaloids, tannins, saponins, GSLs, lectins, oxalates, phytates, and protease inhibitors, which, at high inclusion levels, may also reduce mineral bioavailability, impair protein digestibility, and palatability which contradicts the initial purpose on nutritional aspects (Figure 4) (Leone et al., 2015; Makkar and Becker, 1996, 1997; Thurber and Fahey, 2009). Figure 4 summarizes these effects, showing that moringa’s ANFs act through several distinct mechanisms, from mineral chelation and protein complexing to enzyme inhibition and thyroid interference, which is why no single processing step neutralizes all of them and why a combination of strategies is required. This section summarizes the effects of these major ANFs in moringa on nutrient bioavailability, digestion, and overall nutritional value.
Figure 4
The ANFs differ markedly in the severity of their effects, and several are not uniformly detrimental. GSLs and their hydrolysis products are among the most consequential because of their potential to impair thyroid function (Tripathi and Mishra, 2007), whereas oxalates are primarily of concern in susceptible individuals, particularly when high intake coincides with low dietary calcium and increases the risk of calcium oxalate kidney stone formation (). Tannins and phytates have more moderate, dose-dependent effects on protein and mineral bioavailability; however, both also possess beneficial properties, including anti-inflammatory, antibacterial, and anticancer activity for tannins and antioxidant activity for phytate. Accordingly, the objective should be to reduce these compounds to safe, nutritionally acceptable thresholds rather than eliminate them completely. Lectins and trypsin inhibitors are of greatest concern in seed-derived products and can be substantially reduced by thermal processing. Collectively, this gradient of severity, together with the dual nutritional roles of several compounds, supports a strategy focused on rebalancing ANF composition rather than abolishing ANF content.
Alkaloids
Moringa contains several alkaloids with both beneficial and potentially adverse effects. Despite toxicity risks (upon excessive consumption), moringa alkaloids such as N-α-L-rhamnopyranosyl vincosamide and deoxy-niazimicin offer benefits like cardiovascular protection and free radical scavenging from compounds. Also, root extracts show antitumor activity against lung cancer cells in lab studies. However, excessive intake of bark alkaloids, including moringinine and moringine, has been reported to alter clotting factors, modify serum composition, and inhibit blood transferase activity in animal studies at doses of 500 mg/kg and 184 mg/kg, respectively, while some alkaloids can cause neuromuscular effects such as nerve paralysis (). The characterization of alkaloid biosynthetic pathways in moringa, along with identification of key regulatory genes and the application of omics technologies and metabolic engineering, could enable precise regulation or enhancement of beneficial alkaloid production while minimizing associated toxicity. Therefore, the targeted studies on the optimal level of moringa consumption are warranted.
Tannins
Tannins in moringa show a dual role, acting as both beneficial bioactive compounds and ANFs depending on their concentration. Tannins (C76H52O46) are water-soluble phenolic compounds reported in moringa. Dried leaves have a maximum of 13.2 g of tannins per kg of leaf (), while the content is low in the freeze-dried leaves (5–12 g/kg) (Makkar and Becker, 1997; Richter et al., 2003). The appreciable amounts of tannins in moringa possess medicinal properties like anti-cancer, anti-atherosclerotic, anti-inflammatory, anti-hepatotoxic, and antibacterial. Also, it inhibits HIV replication activity (Kancheva and Kasaikina, 2013). A higher concentration of tannins reduces feed intake capacity, has a reduced growth rate, and reduces protein digestibility (; Makkar, 2003). In cattle, it reduces feed intake, palatability, and digestibility (). It binds and precipitates the proteins and alkaloids. Metabolic engineering and precision breeding may enable the development of improved genotypes with balanced tannin levels. Further, pharmacological studies and controlled extraction methods could enhance their safe use in nutraceutical and pharmaceutical applications.
Saponins
The saponin (C58H94O27) in moringa gives a bitter taste to livestock (Makkar and Becker, 1996, 1997). Saponin is categorized as a steroidal and triterpenoid type, and both are produced through the mevalonate pathway. Triterpenoid saponins are seen predominantly in the dicots, while steroidal saponins mostly prevail in the monocots (Moses et al., 2014). Saponins are glycosides in which one or more sugar moieties are covalently linked to an aglycone (sapogenin) (). A considerable amount of saponin exhibits anticancer properties, and some of it has hemolytic side effects (Man et al., 2010; Tian et al., 2013). The concentration of saponin in dried leaves of moringa was recorded as 50 g/kg (Makkar and Becker, 1996), whereas in freeze-dried leaves it ranged between 64 g/kg and 81 g/kg (Makkar and Becker, 1997; Richter et al., 2003). It has both positive (Immunostimulant, hypocholesterolemic, antifungal, antiviral, and anticarcinogenic) and negative effects (diarrhea, vomiting, and hindered nutrient absorption in the gut) if consumed more than the recommended level in animals (). Future research should focus on detailed characterization of saponin biosynthetic pathways, regulation of key genes in the mevalonate pathway, and identification of structural variants responsible for beneficial and toxic effects. In addition, improved extraction techniques, formulation strategies, and dose standardization will be essential to fully exploit their pharmacological potential in safe and effective applications.
Glucosinolates
GSLs are sulfur- and nitrogen-containing compounds synthesized from glucose and amino acid precursors, consisting of a thio-glucose and a sulfonated oxime linked to an extended amino acid chain (). They are frequently observed in Brassicaceae members, including rapeseed, cabbage, and mustard. GSLs undergo hydrolysis by myrosinases, producing isothiocyanates and epithionitriles (Wittstock et al., 2003). The common GSLs in moringa are glucomoringin (4-[α-L-rhamnosyloxy)-benzyl]-GSL, which is found in all the tissues, and glucotropaeolin (Benzyl GSL), specifically found in roots. Apart from these compounds, Sinalbin (4-hydroxy benzyl), 4-O-(α-L-acetylrhamnopyranosyloxy)-benzyl isomer 1, 4-O-(α-L-acetylrhamnopyranosyloxy)-benzyl isomer 2, 4-O-(α-L acetylrhamnopyranosyloxy)-benzyl isomer three are also found in various tissues in moringa (). GSLs have been reported to disrupt thyroid hormone levels in humans (Tripathi and Mishra, 2007). The pungency of GSLs decreases consumer preference and palatability of fodder.
Lectins
Lectins in moringa are primarily found in seed extracts or kernels and possess carbohydrate-binding sites to bind with sugar (Makkar and Becker, 1997). It is a major ANF due to its ability to alter gut permeability and reduce the efficient absorption of nutrients by the gut epithelium (). Moreover, it can coagulate red and white blood cells, necessitating strict monitoring of consumption levels ().
Oxalates and phytates
The oxalate and phytate concentrations in the dried leaves of moringa range from 334.33 mg/100 g (Joshi and Mehta, 2010) and 25-31 g/kg (Teixeira et al., 2014), respectively. Oxalates bind to water-soluble salts, including calcium, sodium, and potassium, thereby reducing their bioavailability. More oxalic acid in a diet with limited calcium leads to the formation of kidney stones ().
Phytic acid (C6H18O24P6) is a major ANF exhibiting chelate formations with positively charged ions like iron and zinc, thus reducing their bioavailability in the human system (Schlemmer et al., 2009). It is an important form of storage phosphates found in plants. Monogastric animals lack phytase to digest phytic acid, thus leading to reduced absorption of micronutrients. Therefore, it is essential to reduce the phytate content to improve the mineral availability in the system. Moringa leaves have 25 g/kg of phytate in dried leaves (Makkar and Becker, 1996).
Trypsin inhibitors
Trypsin is the major class of enzymes involved in protein catabolism. Trypsin inhibitors modify the trypsin activity in the gut and interfere with protein breakdown. They bind to trypsin and inhibit protein digestion, thereby affecting amino acid absorption. The leaf flour contains 1.45 mg/100 g of trypsin inhibitor (Makkar and Becker, 1997). The trypsin inhibitor from M. oleifera flowers (MoFTI) exhibits anti-inflammatory effects (Patriota et al., 2021). Regular feeding of purified trypsin inhibitors induces pancreatic hypertrophy and hyperplasia in monogastric animals. Although these compounds may have beneficial biological activities at low levels, their anti-nutritional effects highlight the need for proper processing and breeding strategies to improve the nutritional quality of moringa.
Traditional processing methods and their limitations
Traditional chemical and physical methods, such as heating, cooking, grinding, milling, soaking, and germination, are commonly used to reduce ANFs in plant-based foods; however, these techniques are often inefficient and can compromise nutrient quality (Samtiya et al., 2020). The elimination of ANFs is essential for safe human consumption. The traditional methods used to reduce ANFs are presented in Table 5; heating, boiling, and soaking are the most commonly employed and the most economically accessible. As the comparison makes clear, however, these simplest methods are also the most prone to leaching water-soluble vitamins and minerals, so the practical choice of method involves a trade-off between ANF removal and nutrient retention rather than a single optimal technique. Typically, processing techniques such as drying, wet processing, chemical treatments and irradiation are applied to reduce ANFs; however, in moringa, these methods frequently decrease vitamin and mineral content (Mehlomakulu and Emmambux, 2022; Razzak et al., 2022). Soaking or extraction leads to substantial losses of water-soluble vitamins (e.g., vitamin C) and minerals (e.g., calcium and potassium) (Mehlomakulu and Emmambux, 2022; ). Drying and powdering leaves, the most common preparation method for supplements, also fail to remove ANFs; the persistent presence of ANFs after various drying processes raises concerns about nutrient bioavailability (). Thus, there is a persistent trade-off between reducing ANFs and preserving nutrients.
Table 5
| Method | Speed | Cost | Effect on nutrients | Overall implication | References |
|---|---|---|---|---|---|
| Heating (boiling, blanching) | Fast (minutes) | Low | Significant loss of heat- and water-soluble vitamins (vitamin C, B-complex); possible mineral leaching | Boiling reduced 85.3% oxalates, 85.4% phytates, and 78.8% trypsin inhibitors; while blanching reduced 20.7% oxalate and 39.8% phytate | Saini et al., 2016; Razzak et al., 2022; Sallau et al., 2012 |
| Soaking (water) | Moderate (hours) | Very low | Leaching of minerals and water-soluble vitamins; minimal effect on heat-stable nutrients | Lowers phytate and tannin content of moringa seed flour; accompanied by leaching of soluble nutrients | Mehlomakulu and Emmambux, 2022; Saa et al., 2022; Matthew et al., 2022 |
| Germination (sprouting) | Slow (days) | Very low | Generally nutrient- preserving or nutrient- enhancing; can raise protein and mineral availability | Reduces phytate, tannins, and saponins in moringa seed flour while improving functional and nutritional properties | Saa et al., 2022; Ijarotimi et al., 2013 |
| Drying and milling (leaf powder) | Moderate (hours) | Low–moderate | Alters phenolic and antioxidant content; some micronutrient loss depending on drying method | Drying does not fully remove ANFs. ANFs persist in moringa leaf powder after common drying methods | ; Mehlomakulu and Emmambux, 2022 |
| Microbial fermentation | Moderate (hours–days) | Low–moderate | Typically increases protein, amino acids, phenolics and mineral bioavailability | 50-70% reduction of phytate, 40-57% reduction of tannins, and 23% reduction of glucosinolates in moringa | Shi et al., 2020, 2021, 2022; Thierry et al., 2013 |
| Alkali treatment | Moderate | Low | Possible leaching of soluble proteins | Reduced major anti-nutrients including phytic acid, glucosinolates, trypsin inhibitors | |
| Irradiation | Fast | Moderate–high | Variable; can preserve or degrade nutrients depending on dose and method | Not yet quantified in moringa; reported for other crops but moringa-specific data are lacking | Maetens et al., 2018; Kadam et al., 2021 |
Traditional methods of ANFs reduction in M. oleifera.
Engineering plants with lower intrinsic ANF levels or applying microbial fermentation to degrade ANFs can mitigate this trade-off by reducing the need for harsh processing while maintaining nutrient density. The following sections critically evaluate microbial fermentation and genome-editing-based strategies for reducing ANFs in moringa.
ANFs reduction strategies: microbial fermentation
Fermentation, a biological process using bacteria, fungi, or yeast, transforms complex organic compounds into simpler forms and can reduce ANFs via enzymatic degradation, acidification, and microbial metabolism, while improving nutritional and sensory attributes (; Lucke et al., 2019). While microbial fermentation is currently the most practical and scalable near-term strategy for reducing ANFs in moringa products, genome editing represents a complementary long-term solution that can lower ANF levels directly in the plant, thereby reducing reliance on intensive processing (Shi et al., 2021).
In moringa leaves and seeds, solid-state fermentation with fungi and mixed microbial consortia consistently reduces the major ANFs tannins, phytic acid, and GSLs while increasing protein content and antioxidant activity. For example, Aspergillus niger, Candida utilis, and Bacillus subtilis fermentation of moringa leaf meal decreased tannins and phytic acid markedly and lowered GSL levels, while enhancing crude protein and phenolics (Shi et al., 2021). In moringa seeds, fermentation reduced phytates, tannins, alkaloids, and saponins (Ijarotimi et al., 2013). Lactic acid fermentation of moringa leaf powders has achieved 60–67% reductions in phytate content and substantial improvements in iron availability, indicating that fermentation is particularly effective against hydrolyzable ANFs such as phytate and tannins (Thierry et al., 2013).
The microbial fermentation process could improve the overall nutritional profile by increasing the bioavailability of vitamins and minerals and enhancing the digestibility of food products (Shahidi and Zhong, 2010). Fermentation also enriches amino acid content, especially lysine, tryptophan, and methionine, making it a sustainable way to biofortify amino acids and other essential nutrients (Mohapatra et al., 2019). Additionally, it promotes antimicrobial, antioxidant, and anticancer activities in humans by increasing the levels of phenolic compounds and the free-radical scavenging potential ().
Most plant-based food fermentation processes use lactic acid bacteria (Lactobacillus spp. and Streptococcus spp.), Bacilli, fungi (Aspergillus spp.), and yeast (Saccharomyces cerevisiae) to degrade ANFs, due to their ability to produce enzymes like protease, amylase, xylanase, and pectinase (Peng et al., 2025). Solid-state fermentation (SSF), which involves growing microorganisms on substrates with limited water, is commonly used in food fermentation and is also applied to moringa leaves with various organisms such as Rhizopus oligosporus, A. niger, Bacillus spp., and C. utilis to improve bioactive compounds and nutrition (Ijarotimi et al., 2013; Zhang et al., 2017b; ; ; ; Shi et al., 2022). Nonetheless, research on reducing ANFs in moringa through fermentation remains limited, with few studies exploring this aspect. Using SSF with these microbes, whether as monocultures, consortia, or combinations, can notably decrease levels of ANFs such as phytic acid, tannins, and GSLs (Shi et al., 2022). However, the selection of microbial inoculum and the fermentation duration influence the quality of the final product (Mannaa et al., 2021).
Fermentation with lactic acid bacteria is the most common method used in the food industry for biofortifying foods with vitamins, minerals, and amino acids. In lactic acid bacteria fermentation, Lactobacillus plantarum, L. fermentum, and L. sanfranciscensis produce phytase enzymes, which reduce phytate levels and increase mineral bioavailability (Thierry et al., 2013). Fermentation with lactic acid bacteria in moringa-based beverages has been shown to lower raffinose content (Vanajakshi et al., 2015). Among these bacteria, L. plantarum, L. paraplantarum, and L. pentosus can degrade tannins via the tannase enzyme, which cleaves tannins into glucose and gallic acid, thereby enhancing iron absorption (Rodriguez et al., 2009). Besides lactic acid bacteria fermentation, a well-known probiotic strain, Bacillus subtilis, increases the levels of total isoflavones, amino acids, and phenolics in moringa leaves (). In addition to bacterial fermentation, industrially relevant filamentous fungi such as Aspergillus are major sources of tannase, phytase, and other enzymes that break down phytate, tannins, and GSLs, thereby improving nutrient bioavailability (; Shi et al., 2022). Along with ANFs degradation, it enhances mineral bioavailability during yeast fermentation; several yeast strains, such as S. cerevisiae, C. utilis, C. tropicalis, and Pichia kluyveri, enhance calcium bioavailability (). Recently, a study showed that fermentation with Lactiplantibacillus sp. and S. cerevisiae increased dietary folate levels in moringa (). In another study, SSF using fungi (Rhizopus, Aspergillus, and Neurospora) increased phenolic content and antioxidant activity after 24 hours of fermentation. However, prolonged incubation led to a significant reduction in these activities (Starzynska-Janiszewska et al., 2022). In addition to monoculture fermentation, combining two or more strains with diverse protease enzymes significantly reduces the levels of multiple ANFs, including phytic acid, GSLs, and tannins, while increasing antioxidants, phenolics, flavonoids, and protein quality in moringa leaf meal (Shi et al., 2020, 2022).
Challenges in fermentation application
Overall, fermentation is most effective for ANFs that are degradable by enzymes, such as phytate, tannins, and certain GSLs, often achieving 50–70% reductions while simultaneously improving mineral bioavailability and sensory quality (Samtiya et al., 2020; Sharma et al., 2020; ; Murniece et al., 2025; Tomar et al., 2025). However, residual levels of some GSLs and oligosaccharides may remain, and the processing outcomes depend strongly on strain selection and fermentation duration; therefore, fermentation alone cannot fully eliminate all ANFs in moringa products. Taken together, these studies suggest a clear division of labor among fermentation approaches by ANF class, rather than a uniform benefit across all ANFs. Enzymatically degradable compounds, including phytate, tannins, and certain GSLs, are often reduced substantially by phytase-, tannase-, and protease-producing bacterial and fungal strains, whereas structurally protected or non-enzyme-substrate compounds generally show more limited reductions. Two broader patterns also emerge from the literature. First, fermentation outcomes appear to depend more on the enzyme repertoire of individual strains and fermentation duration than on the microbial species alone, with prolonged incubation in some cases diminishing the initial improvements (Starzyńska-Janiszewska et al., 2022). Second, multi-strain microbial consortia have frequently achieved greater simultaneous reductions across multiple ANFs than single-strain fermentations (Shi et al., 2020, 2022). However, reproducibility and scale-up remain important challenges. Most moringa-specific studies have been conducted at laboratory scale using diverse substrates, processing methods, and fermentation conditions, limiting direct comparison across studies. Consequently, there remains a need for systematic strain–substrate–time optimization and validation under standardized, food-grade processing conditions before these promising laboratory findings can be translated into robust commercial applications. This makes microbial fermentation the most feasible near-term strategy for reducing ANFs in moringa, while genome editing provides a complementary long-term option to directly lower specific ANF pathways in the plant, thereby decreasing reliance on intensive processing.
Beyond efficacy, fermentation carries practical drawbacks: outcomes are inconsistent because they depend on conditions, microbe selection, and duration (Zentek and Boroojeni, 2020); uncontrolled processes risk contamination and spoilage (); prolonged fermentation can generate unwanted compounds and cause nutrient loss (Pessione, 2012; ); and the sensory changes it introduces, together with the infrastructure needed for controlled, food-grade production, may limit acceptance and raise cost (Marco et al., 2017; Tamang et al., 2020). Even so, the successful use of these strains across various crops underscores fermentation’s potential to improve moringa’s sensory quality, nutritional value, and biological properties.
ANFs reduction strategies: genome editing
Genome editing has significant potential to ensure food and nutritional security for the population. Genome editing technologies enable us to manipulate DNA sequences to get desired mutants with desired phenotypes (). Recent advances in new genomic techniques (NGTs), particularly CRISPR/Cas-based genome editing, offer opportunities to reduce ANFs in moringa while preserving desirable agronomical traits. It should be stated at the outset that, to date, no CRISPR-based genome editing has been reported in moringa. The strategies discussed in this section are therefore extrapolated from results in other crop systems and are presented as emerging research directions rather than established or near-term applications in moringa. CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) uses a guide RNA sequence to target specific DNA sequences and the endonuclease Cas9 to cut DNA at the target site (), which makes site-specific manipulation of DNA possible. Other genome-editing tools, such as TALENs (Transcription Activator-Like Effector Nucleases) and zinc finger nucleases, are surpassed by CRISPR due to its greater precision and specificity in modifying gene sequences ().
With the growing availability of moringa genomic resources strengthens the use of CRISPR-based crop improvement. Although gene annotation in moringa is still incomplete, chromosome-scale genome assemblies and emerging functional data now provide a foundation for identifying candidate genes linked to ANFs and quality traits. Consequently, genome editing may serve as a complement to conventional breeding by enabling targeted reduction of undesirable compounds while preserving or enhancing nutritional and pharmacological properties in improved moringa cultivars.
Advances in genome editing
Agrobacterium tumefaciens is a gram-negative bacterium and a widely deployed tool for genome editing. The presence of the Ti plasmid makes it a biological tool to transfer the genetic fragments. Transfection is done by replacing the T-DNA region with the gene of interest and co-cultivating the bacteria with the explant. CRISPR, along with Agrobacterium, has revolutionized genome editing, in which the former enables precise DNA editing in the host, and the latter delivers CRISPR-related genes. A successful Agrobacterium transformation was achieved in moringa by Zhang et al. (2017a). Notably, this study demonstrated gene delivery rather than CRISPR editing, and no regeneration of edited moringa plants has yet been reported; it therefore establishes the feasibility of transformation but not of editing in this species. However, the integration of bacterial DNA into the plant genome affects public acceptance. Additionally, eliminating transgene segments is nearly impossible in perennial and vegetatively propagated plants. Transgene-free genome editing could be the best alternative for this approach. Ribonucleoprotein (RNP) delivery, in which the Cas9 enzyme is pre-complexed with guide RNA, overcomes plasmid integration and consumer acceptance concerns: it reduces off-target effects and random DNA integration, requires no vector construction, and faces lighter regulatory scrutiny because no foreign DNA is integrated (Woo et al., 2015). However, this requires developing an efficient protoplast regeneration protocol, which is currently lacking in most crops, including moringa.
Genome editing through grafting
Moringa has demonstrated promising regenerative capacity in tissue culture, and micropropagation has been widely used for clonal multiplication and for rescuing endangered species (Saini et al., 2012; Steinitz et al., 2009; Stephenson and Fahey, 2004; Zheng et al., 2022). However, in vitro conditions may induce stress in explants, thereby inducing antioxidant enzyme expression and negatively affecting regeneration (Hassanein et al., 2018; ). In addition, responses to in vitro propagation are highly genotype- and explant-dependent. Moreover, different ecotypes and explants require different tailored media and supplements for successful regeneration (Stephenson and Fahey, 2004; Saini et al., 2012; ). Even under optimized protocols, moringa cultures are prone to hyperhydricity, leading to vitrification and shoot malformation, which further complicates the development of efficient regeneration systems for genome-editing applications (). Thus, optimizing protocols for successful moringa regeneration is the first step toward successful genome editing.
Recent advances in genome editing through grafting could be a promising alternative for moringa. The schematic representation of the genome editing approach through the grafting technique is presented in Figure 5. In this, Yang et al. (2023) described a strategy to obtain transgene-free edited plants by using a genetically engineered rootstock expressing Cas9 and guide RNAs fused to transfer-RNA-like sequence (TLS) motifs, which are capable of long-distance movement through the vascular system in model species. Whether this approach transfers to a woody perennial such as moringa, including graft compatibility and edit efficiency across the graft union, remains to be tested.
Figure 5
In this approach, a compatible rootstock is first transformed via RNP delivery, Agrobacterium, or viral vectors to express a Cas9–gRNA–TLS complex. Then the transformed rootstock and scion (moringa) are grafted. This graft union would, in principle, facilitate long-distance transport of TLS motifs into the moringa scion, where they could introduce targeted edits. If successful, this would yield transgene-free genome-edited moringa, with seeds from the edited scion inheriting the desired mutations while remaining free of foreign genes.
This technique eliminates the pressure of in vitro culture and protocol optimization, as any compatible rootstock responsive to tissue culture can be utilized to develop a rootstock. The compatible rootstock and the scion could then be grafted to achieve the desired genome editing in the scion. Similarly, it eases the regulatory and consumer concerns associated with transgene integration and could accelerate the development of genome-edited, low-ANF, high-nutrient cultivars. However, the technique requires the transformation of rootstocks for each gene of interest and does not apply to crops for which a grafting protocol has not been established (Hu and Gao, 2023). Moreover, efficient multiplex editing of multiple traits via a single engineered rootstock remains largely unexplored and warrants further investigation.
Tailoring plant secondary metabolism through promoter editing
ANFs are secondary metabolites that play a major role in plant defense against biotic and abiotic stresses. Secondary metabolites are compounds derived from primary metabolites to support additional functions, mainly protection against herbivores, pests, and pathogens, which are essential for plant survival (Harborne, 1990). The aim of reducing ANFs through biotechnological strategies should focus on altering metabolite profiles. The complete knockout might affect the distribution of these compounds in the plants. This may compromise the plant’s existing defense system, leading to plant death or reduced quality and yield. Thus, reducing ANFs in moringa should be undertaken to preserve plant defense.
To target moringa ANFs, we suggest promoter editing as a means to alter gene expression rather than knock them out completely. The promoter responsible for gene regulation is located upstream from the region to be transcribed (Porto et al., 2014). It is the site where RNA polymerase binds to start transcription. Manipulating the promoter region directly affects gene expression. In this case, manipulating promoter regions might alter gene expression sufficiently to maintain the defense system while reducing it to meet consumer preferences. Promoter editing has been successfully implemented in staple crops such as rice (; Huang et al., 2020) and maize (Liu et al., 2021) and has yielded the expected results. In these cases, editing cis-regulatory regions produced quantitative, fine-tuned changes in gene expression rather than the all-or-nothing loss of a knockout: promoter editing of the Wx gene generated a continuous range of amylose levels and improved grain quality in rice (Huang et al., 2020), CRISPR editing of a yield-related QTL promoter created beneficial allelic variation (), and promoter editing of CLE genes produced graded improvements in grain-yield traits in maize (Liu et al., 2021). These examples demonstrate that promoter editing can dial gene expression up or down to a desired level, which is precisely the control needed to lower an ANF while retaining the residual expression required for plant defense. Its application to moringa is, however, hypothetical at this stage and is proposed here as a future direction. Promoter regions have previously been modified using CRISPR/Cas technology via Agrobacterium-mediated transformation. We propose promoter editing using RNPs to achieve a higher transformation rate and prevent the integration of foreign DNA, thereby easing public acceptance and addressing ethical concerns.
Biosynthesis pathways of major ANFs and candidate genes for their reduction
Genome editing depends on existing genetic information. A major challenge in genome editing in moringa is the limited publicly available genomic data with incomplete annotations. The recently published moringa genome and transcriptome data () provide an essential framework for molecular breeding, but the genome assembly is still only partially annotated, and many gene models lack functional assignment. This limited annotation constrains immediate genome editing applications because candidate genes for ANFs often have to be inferred indirectly from homology rather than experimentally confirmed function. As a result, target selection currently relies heavily on orthology to Arabidopsis and other model species, increasing the risk of off-target physiological effects if edited genes participate in multiple pathways. The lack of comprehensive functional annotation makes it difficult to prioritize genes with narrow, pathway-specific roles in ANF biosynthesis versus genes that are also involved in primary metabolism, stress responses or developmental regulation.
The AOCC moringa genome and transcriptome are accessible via the ORCAE-AOCC portal hosted at VIB–UGent (https://bioinformatics.psb.ugent.be/gdb/aocc/morolbgi/Moringa_version2/). The comparative genomic study revealed a close phylogenetic relationship of moringa with Arabidopsis thaliana, papaya (Carica papaya), barrel clover (Medicago truncatula), grapevine (Vitis vinifera), tomato (Solanum lycopersicum), lotus (Nelumbo nucifera), rice (Oryza sativa L. subsp. japonica), maize (Zea mays), avocado (Persea americana Mill.), and Amborella trichopoda (). A total of 349,936 protein sequences from the genomes of these 11 species were compared, revealing 5,185 orthogroups shared by all. Blasting the transcriptomic data with closely related species identified putative orthologs of genes associated with ANF biosynthesis in moringa (Table 4). These candidate orthologs could represent starting points for genome-editing studies aimed at modifying ANF profiles. As Table 4 indicates, these assignments rest on BLAST homology to Arabidopsis and other models rather than on function demonstrated in moringa, so the table is best read as a prioritized list of hypotheses for functional testing rather than a catalog of confirmed ANF genes. Across the genomic, transcriptomic, and metabolomic studies surveyed, moringa research has progressed rapidly from an initial draft reference to multiple independent genome assemblies, but the marked differences in predicted gene number and annotation frameworks indicate that these resources are not yet fully harmonized across studies (, ; Shyamli et al., 2021; Tian et al., 2015). As a result, moringa omics currently supports candidate and hypothesis generation more strongly than confident editing-target selection, because many ANF-relevant genes still lack direct functional validation and are prioritized mainly through homology-based inference. The most valuable next step is therefore the integration of existing genomic, transcriptomic, and metabolomic resources into a unified, functionally annotated pan-genome framework in which candidate ANF genes are experimentally validated against phenotype.
A predicted biosynthetic pathway of the major ANFs in moringa is schematically represented in Figures 6, 7: tannins are synthesized through the phenylpropanoid pathway as polymerized flavonoid derivatives (Figure 7), whereas GSLs originate from amino acid metabolism (Figure 6). Mapping the pathways in this way is not merely illustrative; it localizes the late, branch-specific steps, RhaT1, UDP-rhamnose:rhamnosyltransferase 1 in GSL biosynthesis, and LAR/ANR in tannin biosynthesis, that the editing strategy proposed here prioritizes, visually separating them from the upstream steps shared with primary metabolism that should be avoided. Enzymes or genes at these late steps may therefore serve as candidate targets for reducing ANF levels, pending functional confirmation in moringa.
Figure 6
Figure 7
GSL biosynthesis pathway
In Figure 6, the dotted lines indicate the multi-step process, and the solid line indicates the single-step process. GSL biosynthesis involves three major steps: side-chain elongation, core structure synthesis, and side-chain modification. The blue arrow indicates the side chain elongation process, and the enzymes involved are BCAT3, branched-chain aminotransferase 3; BCAT4/BCAT6, branched-chain aminotransferase 4/branched-chain aminotransferase 6; IIL1, isopropyl malate isomerase large subunit 1; IMDH, isopropyl malate dehydrogenase; MAM, methylthioalkyl malate synthase. The pink arrow indicates core structure synthesis, which involves the enzymes CYP79, cytochrome P450 79; CYP83B1, cytochrome P450 83B1; GSTU19, glutathione S-transferase U19; SUR1, S-alkyl-thiohydroximate lyase; UGT74B1, UDP-glycosyltransferase 74B1; SOT, cytosolic sulfotransferase. The green arrow indicates the side chain modification, which involves the enzyme FMOGS-OX, flavin monooxygenase; RhaT1, UDP-rhamnose:rhamnosyltransferase 1. The yellow arrow indicates the sulfur assimilation, which involves the enzymes GSH1/GSH2, glutamate cysteine ligase1/glutamate cysteine ligase2; OASA1, O-acetylserine (thiol) lyase; APR1/APR3/APR4/APR5, 5’-adenylsulfate reductase 1/5’-adenylsulfate reductase 3/5’-adenylsulfate reductase 4/5’-adenylsulfate reductase 5; APS1, ATP-sulfurylase 1.
From a genome-editing perspective, the most promising targets in the GSL pathway are late, side-chain-modifying and tailoring enzymes that act downstream of core sulfur and amino acid metabolism, such as specific benzyl-GSL modification enzymes (RhaT1, UDP-rhamnose:rhamnosyltransferase 1). Editing this step may reduce glucomoringin and related benzyl GSLs and could minimize pleiotropic effects on primary nitrogen and sulfur assimilation. In contrast, early enzymes shared with primary metabolism (e.g., BCATs, sulfur assimilation enzymes) or broad stress-response regulators are less suitable for knockouts because their disruption is more likely to compromise growth and stress tolerance. In this case, promoter editing could be a possible solution, but it warrants investigation. However, when the transcript data are available, priority should be given to isoforms that are highly expressed in edible tissues (leaf lamina, young pods, seeds) but show limited expression in roots and reproductive organs, to preserve defensive functions where they are most needed.
Tannin biosynthesis pathway
The process begins with phenylalanine as the substrate, yielding p-coumaroyl CoA. The p-coumaroyl CoA, along with the malonyl CoA, forms chalcone, which in turn yields flavanone. The flavanone undergoes a set of steps to yield condensed tannins. The enzymes listed include PAL, phenylalanine ammonia-lyase; C4H, cinnamate 4-hydroxylase; 4CL, 4-coumarate-CoA ligase; CHS, chalcone synthase; CHI, chalcone isomerase; F3H, flavonoid 3-hydroxylase; F3’5’H, flavonoid 3,5-hydroxylase; DFR, dihydroflavonol reductase; LDOX, leucoantho cyanidin dioxygenase; LAR, leuco anthocyanidin reductase; ANR, anthocyanidin reductase (Figure 7).
In the tannin pathway, late-branch enzymes directing flux specifically to condensed tannins, such as LAR and ANR, represent better targets than the upstream phenylpropanoid enzymes (PAL, C4H, 4CL) that also feed lignin, flavonols and other essential phenylpropanoids. Partial downregulation of these late steps, for example, through promoter editing rather than complete gene knockout, could lower tannin accumulation in leaves and seeds while potentially retaining flavonoid-based defense. Expression data can further refine target choice by highlighting isoforms that are strongly expressed in edible tissues but weak or absent in structural or reproductive organs, thereby reducing risks to plant fitness.
It should be emphasized that these candidate targets are derived from pathway homology and expression inference rather than functional validation. To date, no ANF biosynthetic gene has been knocked out or down-regulated in moringa, so the predicted effects on metabolite levels, plant defense, and fitness remain hypotheses that require experimental confirmation. The strategies proposed here are therefore best regarded as a prioritized research agenda rather than established routes to low-ANF cultivars.
Together, these omics and pathway insights suggest that genome editing in moringa should focus on tissue-specific, late biosynthetic steps with limited connections to primary metabolism and use promoter editing strategies rather than full knockouts to limit detrimental effects. On this basis, genome editing has the potential to improve moringa’s nutritional value by reducing ANFs and easing processing burdens; however, these benefits remain to be demonstrated experimentally in moringa.
Genome editing for ANF reduction: opportunities and bottlenecks
The principal bottleneck for applying RNP-based editing in moringa is the lack of an efficient protoplast-to-plant regeneration protocol, which is essential for recovering whole edited plants from edited cells. Existing moringa tissue culture systems rely primarily on nodal explants and micropropagation, and attempts to regenerate plants from mesophyll protoplasts have not yet yielded robust, reproducible protocols. In contrast, several Brassicaceae crops and woody plants, including grapevine, now have highly efficient protoplast regeneration and RNP-editing pipelines (Li et al., 2021; Sandgrind et al., 2021; Tricoli and Debernardi, 2023; Le et al., 2025; Li et al., 2025; Moses et al., 2025). These successes are directly relevant to moringa, a woody species with similar recalcitrance to regeneration that shares key ANF pathways, such as GSL and phenylpropanoid biosynthesis. These parallels suggest that moringa protoplast systems could be established by systematically optimizing auxin–cytokinin ratios, osmotic conditions and culture duration across defined developmental stages, but this will require targeted, multi-year research investment.
Given these constraints, RNP-mediated editing in moringa should currently be viewed as a long-term goal rather than an immediately deployable technology. Overcoming the regeneration hurdle may realistically require several years of focused protocol development and genotype screening for this woody, perennial species. In the interim, CRISPR/Cas systems delivered by Agrobacterium or other vectors remain the most practical route for proof-of-concept editing, despite leaving transgenic footprints that complicate public acceptance and regulatory approval.
Grafting-based editing (described above; Figure 5) offers a more immediately realistic transgene-free alternative, as it sidesteps the protoplast barrier entirely by moving mobile Cas9–gRNA–TLS complexes from a transformed rootstock into a wild-type scion. Proof-of-concept has been demonstrated in Arabidopsis and Brassica species, and the approach is conceptually attractive for tree crops because the same edited scion genotype can be grafted onto a range of compatible rootstocks (Yang et al., 2023). Moringa is already propagated by cuttings and grafting for horticultural purposes, and micropropagation studies indicate that it can form functional graft unions. Still, no dedicated “editing rootstock” has yet been developed. Critical questions, therefore, include whether a readily transformable species (e.g., a related Brassicaceae or moringa genotype with good in vitro response) can serve as a graft-compatible rootstock, and how stable and efficient long-distance movement of editing transcripts would be in a woody perennial canopy. Until such work is done, graft-based editing for moringa should be considered a promising but still experimental strategy rather than a near-term breeding tool.
From a regulatory perspective, the status of genome-edited crops, including those obtained via RNP delivery or graft-mediated mobile transcripts, depends heavily on national policies for New Genomic Techniques (NGTs). Several jurisdictions now treat certain genome-edited plants that do not contain foreign DNA differently from conventional GMOs. In contrast, others still apply full GMO legislation, and debates are ongoing, particularly in the European Union (Ricroch et al., 2026). RNP-mediated and grafting-based systems that produce transgene-free seeds or scions may fall into more permissive NGT categories, but their acceptance will still depend on risk assessment and public perception of genome editing. For moringa, which is often promoted as a “natural” health food, transparent communication about editing targets (e.g., reducing specific ANFs while preserving beneficial phytochemicals) and clear separation between edited and non-edited value chains will be essential to build consumer trust.
Comparative analysis and research priorities
Based on the available evidence, the three main strategies for reducing ANFs in moringa, traditional processing, microbial fermentation and genome editing, differ markedly in mechanisms, nutritional impact and timelines (; ; Starzynska-Janiszewska et al., 2022). Traditional thermal or soaking methods provide moderate ANF reduction but often at the cost of vitamin, mineral and phenolic losses, whereas microbial fermentation achieves greater and more specific decreases in tannins, phytates and related compounds while enhancing bioactive components and digestibility (; Matthew et al., 2022; Saa et al., 2022; Li et al., 2024; Perveen et al., 2024; Puspitasari et al., 2024). Genome editing offers the possibility of permanently lowering or fine-tuning ANF levels at the genetic level without compromising desirable nutrients (; Sahu et al., 2024; Menelih et al., 2025). Still, its deployment depends on robust genomic resources, tissue culture regeneration, and enabling regulatory frameworks (; ; Sebiani-Calvo et al., 2024; ; ; Lokya et al., 2025; Saha et al., 2025). Among the different methods used to reduce ANFs in moringa, traditional processing methods such as soaking, heating, drying, and germination are the most economically feasible owing to their low cost and simple procedures, although they provide only moderate efficiency. Microbial fermentation is more effective in reducing compounds such as tannins and phytates and in enhancing nutrient bioavailability; however, it requires controlled conditions and additional time. In contrast, genome editing offers a highly precise and durable solution for ANF reduction at the genetic level but remains limited by high cost, technical complexity, and regulatory constraints. These contrasts are summarized in Table 6, which compares key features, advantages, and limitations of each approach in the context of moringa improvement. The comparison in Table 6 reveals a consistent trade-off structure across the three approaches: cost and accessibility decline, while specificity, permanence, and technical demand rise as one moves from traditional processing through fermentation to genome editing. This gradient is what underpins our framing of fermentation and editing as complementary near- and long-term strategies rather than competing alternatives. Figure 8 integrates these elements into a single roadmap, situating the two ANF-reduction strategies within the broader arc from germplasm and omics resources, including the GWAS, genomic selection, and systems biology capabilities that remain to be established, through candidate target identification to the shared goal of a low-ANF, nutritionally improved crop. Positioning fermentation and genome editing on a common timeline clarifies that near-term processing gains and long-term genetic solutions are sequential and mutually reinforcing rather than alternatives, with omics resources serving as the enabling layer common to both.
Table 6
| Traditional processing (soaking, heating, drying, germination) | Microbial fermentation | Genome editing | |
|---|---|---|---|
| Main mechanisms | Leaching, thermal degradation, structural changes of ANF-containing compounds (; Razzak et al., 2022) | Enzymatic degradation, acidification, and microbial metabolism by bacteria and fungi (Thierry et al., 2013; Starzyńska-Janiszewska et al., 2022). | Targeted modification or down-regulation of genes in ANF biosynthetic or regulatory pathways (; Kumar et al., 2022). |
| Typical ANF reduction in moringa or similar matrices | Moderate (often 20–60%), but with significant losses of vitamins, phenolics, and minerals (; ). | Higher and more specific; studies report substantial reductions in tannins, phytates and other ANFs while improving functional components (Thierry et al., 2013; Starzyńska-Janiszewska et al., 2022; Huang et al., 2025). | Potentially near-complete for selected ANFs at the gene level; effect depends on target gene and editing efficiency (Singh et al., 2020; Javaid and Choi, 2021). |
| Effect on nutritional quality | May decrease antioxidant activity and micronutrient content due to heat and leaching (; ). | Often increases amino acid availability, bioactive phenolics, and antioxidant capacity (He et al., 2020; Starzyńska-Janiszewska et al., 2022). | Preserves native nutrient composition; changes mainly confined to targeted metabolic pathways (Ku and Ha, 2020; Kumar et al., 2022). |
| Infrastructure and cost | Low cost, widely accessible technologies suitable for household and small-scale processing (; Petroski and Minich, 2020; Wickramasinghe et al., 2020; Mahamane et al., 2025). | Low–moderate cost; requires starter cultures, basic fermentation control, and food-grade facilities (Shi et al., 2020; ; Maleke et al., 2024). | High initial R&D cost and technical capacity (genomics, transformation, tissue culture), but low marginal cost once cultivars are developed (; Kalaitzandonakes et al., 2023). |
| Time to implementation | Immediate; can be applied to existing moringa products (; ; ). | Short-term; processes can be optimized and scaled within existing value chains (Zhang et al., 2017b; Wang et al., 2019; Perveen et al., 2024). | Long-term; depends on availability of annotated genomes, regeneration protocols, and regulatory approval (; Van Eck, 2020; Sebiani-Calvo et al., 2024; Ricroch et al., 2026). |
| Regulatory and social acceptance | No specific regulatory barriers; high consumer acceptance (Ntila et al., 2019; Handayani et al., 2022; Rodrigues et al., 2023). | Minimal regulatory hurdles: fermented foods are generally well accepted (; Nascimento and Barros, 2025). | Strongly dependent on national policies for new genomic techniques and on public perception of genome-edited crops (Kato-Nitta et al., 2019; Spok et al., 2022; Sebiani-Calvo et al., 2024; Ricroch et al., 2026). |
| Sustainability and scalability | High scalability but may be energy-intensive (thermal processing) and can waste nutrients (; ; Hegde et al., 2025). | High scalability with relatively low energy input; compatible with small- and large-scale operations (Jahanian et al., 2024; Zhai et al., 2024; Kushwaha et al., 2025). | High long-term sustainability: once developed, low-ANF cultivars reduce processing needs across production systems (Ku and Ha, 2020; ; ; ). |
Comparison of traditional processing and fermentation and genome editing methods of anti-nutritional factors (ANFs) reduction in M. oleifera.
Figure 8
Research gaps and future thrust
Moringa is a versatile tree with numerous applications, but it still requires focused, thorough research to realize its full potential. A key goal is to conserve germplasm to protect endangered and underrepresented moringa species, avoid duplicative records, and ensure precise documentation of natural variation through detailed passport and characterization data. Creating an international central agency or network dedicated to moringa would help coordinate these efforts across countries and facilitate the sharing of germplasm and information for breeding and basic research.
Breeding efforts must more systematically focus on pod and seed traits, as well as vegetative biomass traits, that influence consumer acceptance and nutritional quality. Key priorities for pods and seeds include increased pulp content, larger seed size for table use, higher oil content, uniform pulp distribution, attractive shiny green pod color, extended shelf life, and reduced bitterness. For biomass, important goals are lower leaf and midrib bitterness, thinner petioles, minimal leaf withering during storage, enhanced iron bioavailability, strong ratooning ability, frost tolerance, rapid regrowth after pruning, and improved resistance to pests and diseases.
In parallel, there is great potential to increase moringa’s value as fodder through research on improving the nutritional quality of leaves and pods, studying the impacts of feeding on animal health and productivity, and developing value-added fodder products and optimized feed mixtures. Trials testing different feeding times and stages, as well as combinations with other forages and concentrates, would offer evidence-based recommendations for livestock systems in diverse agro-ecologies.
At the molecular level, the systematic application of advanced omics and genome-editing technologies remains in its infancy for moringa. Future work should integrate genomics, transcriptomics, metabolomics, and genome editing to examine the genetic control of ANFs, nutritional traits, and stress tolerance and to develop markers and edited lines for inclusion in breeding programs. To translate these molecular priorities into actionable research, future studies should address several testable questions. First, which loci and genes govern GSL, tannin, and phytate accumulation in moringa, and what allelic diversity is present across available germplasm? Second, what is the heritability of ANF content in seeds and leaves, and how are these traits genetically correlated with yield and nutritional quality? Third, among the homology-based candidates listed in Table 4, which are expressed in the tissues where the respective ANFs accumulate, and which are likely to function in pathway-specific rather than primary-metabolism processes? Fourth, do targeted edits that reduce a given ANF produce measurable effects on plant defense, fitness, or beneficial phytochemical composition? Finally, can microbial fermentation be standardized across strains, substrates, and incubation durations and scaled to deliver reproducible, food-grade reductions in ANF content? Collectively, answering these questions would move the field from broad aspiration toward a well-defined experimental roadmap. Furthermore, research on human health–related products, such as nutrient tablets and functional health products, along with the design of sustainable, efficient value chains and marketing strategies, is necessary to translate agronomic and molecular advancements into accessible moringa-based foods and supplements.
Finally, supportive policy and institutional frameworks will be essential for expanding the improvement and use of moringa. Key actions include recognizing moringa as a strategic crop in both national and international research agendas, establishing dedicated crop improvement programs, and developing regulations that support products derived from advanced breeding and genome editing. Coordinated investments by government and donors in research, extension services, and processing infrastructure will be vital to realizing moringa’s full scientific and economic potential.
Conclusion
Moringa is a multipurpose tree crop that offers significant scope for nutritional sustainability. A suite of ANFs, notably phytic acid, tannins, GSLs, saponins, and lectins, reduces its consumption. This review shows that (i) the moringa germplasm characterization is in its primitive stage, warrants establishment of a global nodal agency, (ii) classical hybridization methods were mostly utilized for annual moringa improvement, but intensive genetic improvement work in the perennial types are to be initiated/intensified, and (ii) microbial fermentation and genome editing provide complementary pathways to manage the ANF compounds rather than competing alternatives. In the near term, optimized lactic acid and solid-state fermentations with carefully selected bacterial, fungal, and yeast consortia can achieve 50–70% reductions in phytate, tannins, and related GSLs while simultaneously improving mineral bioavailability, amino acid profiles, and sensory quality in moringa-based products. Over the long term, CRISPR-based genome editing, particularly promoter editing and transgene-free approaches, offers the potential to durably reduce ANF accumulation directly in the plant without compromising desirable phytochemicals or agronomic performance.
Our pathway-level synthesis highlights specific late biosynthetic steps as particularly promising targets, including tailoring enzymes in GSL biosynthesis and branch-point enzymes such as LAR and ANR in condensed tannin formation, which can be modulated to reduce ANFs while preserving core phenylpropanoid and sulfur metabolism. As noted above, deployment remains constrained chiefly by incomplete genome annotation and the absence of reproducible protoplast regeneration systems. Addressing these bottlenecks, alongside continued investment in fermentation optimization, product development, and regulatory frameworks, will be key to moving from proof-of-concept studies to scalable impact. The integrated roadmap in Figure 8 summarizes this trajectory, linking germplasm and omics foundations through candidate target identification to the complementary near-term fermentation and long-term editing strategies that together can deliver low-ANF moringa. By integrating traditional fermentation knowledge with cutting-edge genome editing, moringa can transition from an underutilized “miracle tree” to a mainstream nutritional powerhouse that contributes meaningfully to global food and nutrition security.
Statements
Author contributions
ShK: Formal analysis, Supervision, Validation, Writing – review & editing, Writing – original draft. SM: Writing – review & editing, Formal analysis, Writing – original draft, Validation. AM: Writing – original draft, Writing – review & editing, Methodology. PL: Writing – review & editing, Resources. SL: Resources, Writing – review & editing. PG: Writing – review & editing, Resources. SDS: Supervision, Writing – review & editing. SKS: Resources, Writing – review & editing. VS: Writing – review & editing, Resources. CB: Resources, Writing – review & editing. KG: Validation, Writing – review & editing. BK: Writing – review & editing, Methodology, Software, Data curation. RP: Resources, Writing – review & editing. SR: Visualization, Conceptualization, Writing – review & editing, Validation, Investigation, Writing – original draft, Project administration, Supervision, Methodology, Data curation. SeK: Writing – review & editing, Validation, Writing – original draft, Investigation, Software, Visualization.
Funding
The author(s) declared that financial support was not received for this work and/or its publication.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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References
1
Abd El-HackM. E.AlagawanyM.ElrysA. S.Desoky El-S.M.TolbaH. M. N.ElnahalA. S. M.et al. (2018). Effect of forage Moringa oleifera L. (moringa) on animal health and nutrition and its beneficial applications in soil, plants and water purification. Agriculture8, 145. doi: 10.3390/agriculture8090145
2
AbdelsalamM.FathiM. (2023). Improving productivity in rabbits by using some natural feed additives under hot environmental conditions—a review. Anim. Biosci.36, 540–554. doi: 10.5713/ab.22.0354
3
AdemiluyiA. O.AladeseluO. H.ObohG.BoligonA. A. (2018). Drying alters the phenolic constituents, antioxidant properties, α-amylase, and α-glucosidase inhibitory properties of Moringa oleifera leaf. Food Sci. Nutr.6, 2123–2133. doi: 10.1002/fsn3.770
4
AhmadS.TangL.ShahzadR.MawiaA. M.RaoG. S.JamilS.et al. (2021). CRISPR-based crop improvements: a way forward to achieve zero hunger. J. Agric. Food. Chem.69, 8307–8323. doi: 10.1021/acs.jafc.1c02653
5
AkhtarM. J.AhmadH.SaleemM. A. (2022). Moringa as a feedstuff. Acta Sci. Vet. Sci.4, 172–178. Available online at: https://actascientific.com/ASVS/pdf/ASVS-04-0293.pdf.
6
Alatorre-CruzJ. M.Pita-LopezW.Lopez-ReyesR. G.Ferriz-MartinezR. A.Cervantes-JimenezR.CarrilloM. D. J. G.et al. (2018). Effects of intragastrically administered tepary bean lectins on digestive and immune organs: Preclinical evaluation. Toxicol. Rep.5, 56–64. doi: 10.1016/j.toxrep.2017.12.008
7
AlavilliH.PoliY.VermaK. S.KumarV.GuptaS.ChaudharyV.et al. (2022). Miracle tree Moringa oleifera: Status of the genetic diversity, breeding, in vitro propagation, and a cogent source of commercial functional food and non-food products. Plants11, 3132. doi: 10.3390/plants11223132
8
AliM. W.IlaysM. Z.SaeedM. T.ShinD. H. (2020). Comparative assessment regarding antioxidative and nutritional potential of Moringa oleifera leaves by bacterial fermentation. J. Food Sci. Technol.57, 1110–1118. doi: 10.1007/s13197-019-04146-1
9
AliM.YusofY.ChinN.IbrahimM. (2017). Processing of moringa leaves as natural source of nutrients by optimization of drying and grinding mechanism. J. Food Proc. Eng.40, e12583. doi: 10.1111/jfpe.12583
10
AmagloN. K.BennettR. N.Lo CurtoR. B.RosaE. A. S.Lo TurcoV.GiuffridaA.et al. (2010). Profiling selected phytochemicals and nutrients in different tissues of the multipurpose tree Moringa oleifera L. grown in Ghana. Food Chem.122, 1047–1054. doi: 10.1016/j.foodchem.2010.03.073
11
AnzanoA.AmmarM.PapaianniM.GrausoL.SabbahM.CapparelliR.et al. (2021). Moringa oleifera Lam.: A phytochemical and pharmacological overview. Hortic.7, 409. doi: 10.3390/horticulturae7100409
12
AraujoL. C.AguiarJ. S.NapoleaoT. H.MotaF. V.BarrosA. L.MouraM. C.et al. (2013). Evaluation of cytotoxic and anti-inflammatory activities of extracts and lectins from Moringa oleifera seeds. PloS One8, e81973. doi: 10.1371/journal.pone.0081973
13
ArsovA.TsigoriynaL.BatovskaD.ArmenovaN.MuW.ZhangW.et al. (2024). Bacterial degradation of anti-nutrients in foods: The genomic insight. Foods13, 2408. doi: 10.3390/foods13152408
14
AugustinJ. M.KuzinaV.AndersenS. B.BakS. (2011). Molecular activities, biosynthesis and evolution of triterpenoid saponins. Phytochemistry72, 435–457. doi: 10.1016/j.phytochem.2011.01.015
15
Avila-Trevino -TrevinoJ. A.Munoz-AlemanJ. M.Perez-Molphe-BalchE.Rodriguez-SahagunA.Morales-DomínguezJ. F. (2017). In vitro propagation from bud and apex explants of Moringa oleifera and evaluation of the genetic stability with RAMP marker. S. Afr. J. Bot.108, 149–156. doi: 10.1016/j.sajb.2016.10.003
16
AzlanU. K.MedianiA.RohaniE. R.TongX.HanR.MisnanN. M.et al. (2022). A comprehensive review with updated future perspectives on the ethnomedicinal and pharmacological aspects of Moringa oleifera. Molecules27, 5765. doi: 10.3390/molecules27185765
17
BekaluZ. E.PantingM.Bæksted HolmeI.Brinch-PedersenH. (2023). Opportunities and challenges of in vitro tissue culture systems in the era of crop genome editing. Int. J. Mol. Sci.24, 11920. doi: 10.3390/ijms241511920
18
BennettR. N.MellonF. A.FoidlN.PrattJ. H.DupontM. S.PerkinsL.et al. (2003). Profiling glucosinolates and phenolics in vegetative and reproductive tissues of the multi-purpose trees Moringa oleifera L. (horseradish tree) and Moringa stenopetala L. J. Agric. Food. Chem.51, 3546–3553. doi: 10.1021/jf0211480
19
BharathiS.NageswariK.RajangamJ.AnandG.GeetharaniP.RajeshS. (2024). Diversity analysis of moringa (Moringa oleifera Lam.) mutant populations revealing extensive genetic variability for morphological traits. J. Appl. Nat. Sci.16, 1006–1014. doi: 10.31018/jans.v16i3.5640
20
BhattaR.SaravananM.BaruahL.SampathK. T. (2012). Nutrient content, in vitro ruminal fermentation characteristics and methane reduction potential of tropical tannin-containing leaves. J. Sci. Food Agric.92, 2929–2935. doi: 10.1002/jsfa.5703
21
BlazevicI.MontautS.BurculF.OlsenC. E.BurowM.RollinP.et al. (2020). Glucosinolate structural diversity, identification, chemical synthesis and metabolism in plants. Phytochemistry169, 112100. doi: 10.1016/j.phytochem.2019.112100
22
BonoH. (2025). Recent advances in genome editing and bioinformatics: Addressing challenges in genome editing implementation and genome sequencing. Int. J. Mol. Sci.26, 3442. doi: 10.3390/ijms26073442
23
BoopathiN. M.RaveendranM.KoleC. (2021). The Moringa Genome (Cham: Springer). Available online at: https://link.springer.com/content/pdf/10.1007/978-3-030-80956-0.pdf (Accessed February 3, 2026).
24
CamachoF. P.SousaV. S.BergamascoR.Ribau TeixeiraM. (2017). The use of Moringa oleifera as a natural coagulant in surface water treatment. Chem. Eng. J.313, 226–237. doi: 10.1016/j.cej.2016.12.031
25
CapozziV.FragassoM.RomanielloR.BerbegalC.RussoP.SpanoG. (2017). Spontaneous food fermentations and potential risks for human health. Fermentation3, 49. doi: 10.3390/fermentation3040049
26
CardiT.D'AgostinoN.TripodiP. (2017). Genetic transformation and genomic resources for next-generation precise genome engineering in vegetable crops. Front. Plant Sci.8, 241. doi: 10.3389/fpls.2017.00241
27
CardiT.MurovecJ.BakhshA.BonieckaJ.BruegmannT.BullS. E.et al. (2023). CRISPR/Cas-mediated plant genome editing: Outstanding challenges a decade after implementation. Trends Plant Sci.28, 1144–1165. doi: 10.1016/j.tplants.2023.05.012
28
ChaiK. F.ChenW. N. (2025). Microbes in fermentation: Guardians or threats to food safety? J. Agric. Food. Chem.73, 11825–11836. doi: 10.1021/acs.jafc.5c07574
29
ChangY.LiuH.LiuM.LiaoX.SahuS. K.FuY.et al. (2019). The draft genomes of five agriculturally important African orphan crops. GigaScience8, giy152. doi: 10.1093/gigascience/giy152
30
ChangJ.Marczuk-RojasJ. P.WatermanC.Garcia-LlanosA.ChenS.MaX.et al. (2022). Chromosome-scale assembly of the Moringa oleifera Lam. genome uncovers polyploid history and evolution of secondary metabolism pathways through tandem duplication. Plant Genome15, e20238. doi: 10.1002/tpg2.20238
31
ChungK.WongT.WeiC.HuangY.LinY. (1998). Tannins and human health: A review. Crit. Rev. Food Sci. Nutr.38, 421–464. doi: 10.1080/10408699891274273
32
ConfalonieriM.CarelliM.GianoglioS.MogliaA.BiazziE.TavaA. (2021). CRISPR/Cas9-mediated targeted mutagenesis of CYP93E2 modulates the triterpene saponin biosynthesis in Medicago truncatula. Front. Plant Sci.12, 690231. doi: 10.3389/fpls.2021.690231
33
CongL.RanF. A.CoxD.LinS.BarrettoR.HabibN.et al. (2013). Multiplex genome engineering using CRISPR/Cas systems. Science339, 819–823. doi: 10.1126/science.1231143
34
CoriolanoM. C.BritoJ. S.FerreiraG. R. S.MouraM. C.MeloC. M. L.SoaresA. K. A.et al. (2019). Antibacterial lectin from Moringa oleifera seeds (WSMoL) has differential action on growth, membrane permeability and protease secretory ability of Gram-positive and Gram-negative pathogens. S. Afr. J. Bot.129, 198–205. doi: 10.1016/j.sajb.2019.06.014
35
CrivelliJ. J.MitchellT.KnightJ.WoodK. D.AssimosD. G.HolmesR. P.et al. (2020). Contribution of dietary oxalate and oxalate precursors to urinary oxalate excretion. Nutrients13, 62. doi: 10.3390/nu13010062
36
CuiY.HuX.LiangG.FengA.WangF.RuanS.et al. (2020). Production of novel beneficial alleles of a rice yield-related QTL by CRISPR/Cas9. Plant Biotechnol. J.18, 1987–1989. doi: 10.1111/pbi.13370
37
DaiJ.TaoL.ShiC.YangS.LiD.ShengJ.et al. (2020). Fermentation improves calcium bioavailability in Moringa oleifera leaves and prevents bone loss in calcium-deficient rats. Food Sci. Nutr.8, 3692–3703. doi: 10.1002/fsn3.1653
38
Delfín-PortelaE.Meléndez-ArmentaR. A.Gurruchaga-RodriguezM.-E.Báez-SentíesO.Heredia-RoldánM.-J.Carrión-DelgadoJ. M.et al. (2024). Estimation of processing times and economic feasibility of producing Moringa oleifera Lam. capsules in Mexico. Appl. Sci.14, 67225. doi: 10.3390/app14167225
39
DellinoM.De GiovanniC.MiazziM. M.MontemurroC.NigroD. (2025). Genome editing technologies to improve health-related phytocompounds in crops. Food Front.6, 1271–1286. doi: 10.1002/fft2.70005
40
DemirN.BahçeciK. S.AcarJ. (2006). The effects of different initial Lactobacillus plantarum concentrations on some properties of fermented carrot juice. J. Food Proc. Preserv.30, 352–363. doi: 10.1111/j.1745-4549.2006.00070.x
41
DestaW. M.BoteM. E. (2021). Wastewater treatment using a natural coagulant (Moringa oleifera seeds): Optimization through response surface methodology. Heliyon7, e08451. doi: 10.1016/j.heliyon.2021.e08451
42
DevisettiR.SreeramaY. N.BhattacharyaS. (2016). Processing effects on bioactive components and functional properties of Moringa leaves: Development of a snack and quality evaluation. J. Food Sci. Technol.53, 649–657. doi: 10.1007/s13197-015-1962-5
43
DevkotaS.BhusalK. K. (2020). Moringa oleifera: A miracle multipurpose tree for agroforestry and climate change mitigation from the Himalayas – A review. Cogent. Food Agric.6, 1805951. doi: 10.1080/23311932.2020.1805951
44
DhuggaK. S. (2022). Gene editing to accelerate crop breeding. Front. Plant Sci.13, 889995. doi: 10.3389/fpls.2022.889995
45
DjonuA.AndayaniS.NursyamH. (2018). Identification of Moringa oleifera leaves content fermented by Rhizopus oligosporus. Int. J. Sci. Technol. Res.7, 102–104. Available online at: https://www.ijstr.org/final-print/apr2018/Identification-Of-Moringa-Oleifera-Leaves-Content-Fermented-By-Rhizopus-Oligosporus-.pdf.
46
DreisigackerS.Pérez-RodríguezP.Crespo-HerreraL.BentleyA. R.CrossaJ. (2023). Results from rapid-cycle recurrent genomic selection in spring bread wheat. G3 (Genes. Genomes Genet.)13, jkad025. doi: 10.1093/g3journal/jkad025
47
DuH.HuY.LuK.LiT.TianY.HuY. (2023). Potential folate-producing strains and their applications in biofortification of fermented Moringa oleifera leaves powder. LWT187, 115357. doi: 10.1016/j.lwt.2023.115357
48
DuraiswamyA.SnehaA. N.JebakaniK. S.SelvarajS.PramithaJ. L.SelvarajR.et al. (2023). Genetic manipulation of anti-nutritional factors in major crops for a sustainable diet in future. Front. Plant Sci.13, 1070398. doi: 10.3389/fpls.2022.1070398
49
FeitosaP. R. B.SantosT. R. J.GualbertoN. C.NarainN.SantanaL. C. L. D. A. (2020). Solid-state fermentation with Aspergillus Niger for the bio-enrichment of bioactive compounds in Moringa oleifera (moringa) leaves. Biocatal. Agric. Biotechnol.27, 101709. doi: 10.1016/j.bcab.2020.101709
50
Fernandez RiosF. D.QuintanaS. A.PaniaguaP. G.ArrúaA. A.BrozónG. R.Bertoni HicarM. S.et al. (2025). Regulatory challenges and global trade implications of genome editing in agriculture. Front. Bioeng. Biotechnol.13, 1609110. doi: 10.3389/fbioe.2025.1609110
51
GharsallahK.RezigL.RajokaM.MehwishH.AliM.ChewS. C. (2023). Moringa oleifera: Processing, phytochemical composition, and industrial application. S. Afr. J. Bot.159, 95–111. doi: 10.1016/j.sajb.2023.07.008
52
GidamisA.PangaJ.SarwattS.ChoveB.ShayoN. (2003). Nutrient and antinutrient contents in raw and cooked young leaves and immature pods of Moringa oleifera Lam. Ecol. Food Nutr.42, 399–411. doi: 10.1080/03670240390268857
53
Gonzalez CastroN.BjelicJ.MalhotraG.HuangC.AlsaffarS. H. (2021). Comparison of the feasibility, efficiency, and safety of genome editing technologies. Int. J. Mol. Sci.22, 10355. doi: 10.3390/ijms221910355
54
GopalakrishnanL.DoriyaK.KumarD. S. (2016). Moringa oleifera: A review on nutritive importance and its medicinal applications. Food Sci. Hum. Wellness.5, 49–56. doi: 10.1016/j.fshw.2016.04.001
55
GrujovicM. Z.MladenovicK. G.Semedo-LemsaddekT.LaranjoM.StefanovicO. D.Kocic-TanackovS. D. (2022). Advantages and disadvantages of non-starter lactic acid bacteria from traditional fermented foods: Potential use as starters or probiotics. Compr. Rev. Food Sci. Food Saf.21, 1537–1567. doi: 10.1111/1541-4337.12897
56
GuoZ.TangR.LuoS.TianY.LiuJ. (2026). Mining of key genes involved in the sulforaphane biosynthetic pathway of moringa and cloning, expression, and functional verification of MoMYR1. Int. J. Biol. Macromol.348, 150633. doi: 10.1016/j.ijbiomac.2026.150633
57
GuptaS.KachhwahaS.KothariS. L.JainR. (2020). Synergistic effect of cytokinins and auxins enables mass clonal multiplication of drumstick tree (Moringa oleifera Lam.): A wonder. In. Vitro Cell. Dev. Biol. Plant56, 458–469. doi: 10.1007/s11627-020-10065-0
58
HaiderS.SinghA. P.PanthiB.SindhuS. R.SafaN. T.MalikS.et al. (2026). Advances in CRISPR/Cas9 genome editing for crop improvement and global food security. Curr. Plant Biol.46, 100593. doi: 10.1016/j.cpb.2026.100593
59
HandayaniY.AminahS.YanisM.Waryat (2022). Characteristics of moringa leaf powder as fortification and consumer acceptance. IOP. Conf. Ser. Earth Environ. Sci.1027, 12005. doi: 10.1088/1755-1315/1027/1/012005
60
HarborneJ. B. (1990). “ Role of secondary metabolites in chemical defence mechanisms in plants,” in Ciba Foundation Symposium 154: Bioactive Compounds From Plants (Chichester: John Wiley & Sons, Ltd), 126–139. doi: 10.1002/9780470514009.ch10
61
HassaneinA.SalemJ.FaheedF.El-NagishA. (2018). Effect of anti-ethylene compounds on iso-enzyme patterns and genome stability during long-term culture of Moringa oleifera. Plant Cell Tissue Organ Cult.132, 201–212. doi: 10.1007/s11240-017-1326-0
62
HeL.LvH.ChenN.WangC.ZhouW.ChenX.et al. (2020). Improving fermentation, protein preservation and antioxidant activity of Moringa oleifera leaves silage with gallic acid and tannic acid. Bioresour. Technol.297, 122390. doi: 10.1016/j.biortech.2019.122390
63
HegdeK. R.SuruthiM.BhavanaM.SinijaV.HemaV. (2025). Impact of different drying techniques on Moringa oleifera leaves as a sustainable tea alternative. Disc. Chem.2, 79. doi: 10.1007/s44371-025-00079-1
64
HornL.ShakelaN.MutorwaM. K.NaomabE.KwaambwaH. M. (2022). Moringa oleifera as a sustainable climate-smart solution to nutrition, disease prevention, and water treatment challenges: A review. J. Agric. Food Res.10, 100397. doi: 10.1016/j.jafr.2022.100397
65
HuJ.GaoC. (2023). CRISPR-edited plants by grafting. Nat. Biotechnol.41, 909–910. doi: 10.1038/s41587-022-01516-7
66
HuangL.LiQ.ZhangC.ChuR.GuZ.TanH.et al. (2020). Creating novel Wx alleles with fine-tuned amylose levels and improved grain quality in rice by promoter editing using CRISPR/Cas9 system. Plant Biotechnol. J.18, 2164–2166. doi: 10.1111/pbi.13391
67
HuangS.WuK.GuoY.MuH.ShengJ.TianY.et al. (2025). Integrated approach reveals fermented Moringa oleifera leaves extracts' impact on mouse sleep. Foods14, 2952. doi: 10.3390/foods14172952
68
IjarotimiO. S.AdeotiO. A.AriyoO. (2013). Comparative study on nutrient composition, phytochemical, and functional characteristics of raw, germinated, and fermented Moringa oleifera seed flour. Food Sci. Nutr.1, 452–463. doi: 10.1002/fsn3.70
69
JahanianA.RamirezJ.O’HaraI. (2024). Advancing precision fermentation: minimizing power demand of industrial-scale bioreactors through mechanistic modelling. Comput. Chem. Eng.188, 108755. doi: 10.1016/j.compchemeng.2024.108755
70
JavaidN.ChoiS. (2021). CRISPR/Cas system and factors affecting its precision and efficiency. Front. Cell Dev. Biol.9, 761709. doi: 10.3389/fcell.2021.761709
71
JoshiP.MehtaD. (2010). Effect of dehydration on the nutritive value of drumstick leaves. J. Metabolomics. Syst. Biol.1, 5–9. Available online at: http://www.academicjournals.org/jmsb.
72
KadamD. M.KumarM.KasaraA. (2021). Application of high energy electromagnetic radiations in elimination of anti-nutritional factors from oilseeds. LWT151, 112085. doi: 10.1016/j.lwt.2021.112085
73
KalaitzandonakesN.WilligC.ZahringerK. (2023). The economics and policy of genome editing in crop improvement. Plant Genome16, e20248. doi: 10.1002/tpg2.20248
74
KanchevaV. D.KasaikinaO. T. (2013). Bio-antioxidants—a chemical base of their antioxidant activity and beneficial effect on human health. Curr. Med. Chem.20, 4784–4805. doi: 10.2174/09298673113209990161
75
KarunagaranS.MuthusamyS.ManikandanA.RadhammaG. L. P.LeelavathiS.PraveenG.et al. (2025). A comprehensive review on multiple utilities of moringa: A divine tree. Plant Sci. Today12, 5869. doi: 10.14719/pst.5869
76
KashyapP.KumarS.RiarC. S.JindalN.BaniwalP.GuinéR. P. F.et al. (2022). Recent advances in drumstick (Moringa oleifera) leaves bioactive compounds: Composition, health benefits, bioaccessibility, and dietary applications. Antioxidants. (Basel).11, 402. doi: 10.3390/antiox11020402
77
Kato-NittaN.MaedaT.InagakiY.TachikawaM. (2019). Expert and public perceptions of gene-edited crops: Attitude changes in relation to scientific knowledge. Palgrave. Commun.5, 137. doi: 10.1057/s41599-019-0328-4
78
KittipolV.HeZ.WangL.Doheny-AdamsT.LangerS.BancroftI. (2019). Genetic architecture of glucosinolate variation in Brassica napus. J. Plant Physiol.240, 152988. doi: 10.1016/j.jplph.2019.06.001
79
KuH. K.HaS. H. (2020). Improving nutritional and functional quality by genome editing of crops: Status and perspectives. Front. Plant Sci.11, 577313. doi: 10.3389/fpls.2020.577313
80
KumarP.DolkarR.ManjunathaG.PallaviH. M. (2017). Molecular fingerprinting and assessment of genetic variations among advanced breeding lines of Moringa oleifera L. by using seed protein, RAPD and Cytochrome P450 based markers. S. Afr. J. Bot.111, 60–67. doi: 10.1016/j.sajb.2017.03.024
81
KumarA. R.PrabhuM.PonnuswamiV.LakshmananV.NithyadeviA. (2014). Scientific seed production techniques in Moringa. Agric. Rev.35, 69–73. doi: 10.5958/j.0976-0741.35.1.009
82
KumarD.YadavA.AhmadR.DwivediU. N.YadavK. (2022). CRISPR-based genome editing for nutrient enrichment in crops: a promising approach toward global food security. Front. Genet.13, 932859. doi: 10.3389/fgene.2022.932859
83
KushwahaB.ShuklaR.SharmaR. (2025). Operational efficiencies and sustainable bioprocessing in electro-fermentation and microbial fuel cells. Bioproc. Biosyst. Eng.49, 187–210. doi: 10.1007/s00449-025-03228-z
84
LeL.MaY.XieX.ZhangW.FuF.WangG.et al. (2025). Protoplast technology in woody plants: Current advances and potential applications in genetic improvement. Tree Physiol.45, tpaf138. doi: 10.1093/treephys/tpaf138
85
LeoneA.SpadaA.BattezzatiA.SchiraldiA.AristilJ.BertoliS. (2015). Cultivation, genetic, ethnopharmacology, phytochemistry and pharmacology of Moringa oleifera leaves: An overview. Int. J. Mol. Sci.16, 12791–12835. doi: 10.3390/ijms160612791
86
LiZ.LuoW.ZhouQ.SunC.ZhengX.LiuB.et al. (2024). Investigation of the fermentation process of Moringa oleifera leaves and its effects on the growth performance, antioxidant capacity, and intestinal microbiome of Procambarus clarkii. Antioxidants13, 1355. doi: 10.3390/antiox13111355
87
LiX.SandgrindS.MossO.GuanR.IvarsonE.WangE. S.et al. (2021). Efficient protoplast regeneration protocol and CRISPR/Cas9-mediated editing of glucosinolate transporter (GTR) genes in rapeseed (Brassica napus L.). Front. Plant Sci.12, 680859. doi: 10.3389/fpls.2021.680859
88
LiX.TesfayeM.SandgrindS.GuanR.ZhuL. H. (2025). Development of a highly efficient protoplast regeneration and transfection protocol for enhancing CRISPR genome editing of Brassica carinata. Front. Plant Sci.16, 1604283. doi: 10.3389/fpls.2025.1604283
89
LiuL.GallagherJ.ArevaloE. D.ChenR.SkopelitisT.WuQ.et al. (2021). Enhancing grain-yield-related traits by CRISPR–Cas9 promoter editing of maize CLE genes. Nat. Plants7, 287–294. doi: 10.1038/s41477-021-00858-5
90
LokyaV.SinghS.ChaudharyR.JangraA.TiwariS. (2025). Emerging trends in transgene-free crop development: Insights into genome editing and its regulatory overview. Plant Mol. Biol.115, 84. doi: 10.1007/s11103-025-01600-x
91
LuckeF. K.FritzV.TannhäuserK.AryaA. (2019). Controlled fermentation of rapeseed presscake by Rhizopus, and its effect on some components with relevance to human nutrition. Food Res. Int.120, 726–732. doi: 10.1016/j.foodres.2018.11.031
92
MaZ. F.AhmadJ.ZhangH.KhanI.MuhammadS. (2020). Evaluation of phytochemical and medicinal properties of moringa (Moringa oleifera) as a potential functional food. S. Afr. J. Bot.129, 40–46. doi: 10.1016/j.sajb.2018.12.002
93
MabuselaS. P.NkukwanaT. T.MokomaM.MuchenjeV. (2018). Layer performance, fatty acid profile and the quality of eggs from hens supplemented with Moringa oleifera whole seed meal. S. Afr. J. Anim. Sci.48, 234–243. doi: 10.4314/sajas.v48i2.5
94
MaetensE.HettiarachchyN.DewettinckK.HoraxR.MoensK. (2018). Reductions of anti-nutritional factors of germinated soybeans by ultraviolet and infrared treatments for snack chips preparation. LWT90, 513–518. doi: 10.1016/j.lwt.2018.01.001
95
MahamaneM.AmadouI.MoussaM. R. L. (2025). Technical process and economic analyses of organic Moringa oleifera production in the Sahel region of Niger. J. Food. Res.14, 24–36. doi: 10.5539/jfr.v14n2p24
96
MakkarH. P. S. (2003). Effects and fate of tannins in ruminant animals, adaptation to tannins, and strategies to overcome detrimental effects of feeding tannin-rich feeds. Small. Rumin. Res.49, 241–256. doi: 10.1016/S0921-4488(03)00142-1
97
MakkarH. P. S.BeckerK. (1996). Nutritional value and antinutritional components of whole and ethanol-extracted Moringa oleifera leaves. Anim. Feed. Sci. Technol.63, 211–228. doi: 10.1016/S0377-8401(96)01023-1
98
MakkarH. P. S.BeckerK. (1997). Nutrients and antiquality factors in different morphological parts of the Moringa oleifera tree. J. Agric. Sci.128, 311–322. doi: 10.1017/S0021859697004292
99
MalekeM. S.AdeboO. A.WilkinJ.LedbetterM.FengX.GiengJ.et al. (2024). Effect of fermentation, malting and ultrasonication on sorghum, mopane worm and Moringa oleifera: Improvement in their nutritional, techno-functional and health-promoting properties. Front. Nutr.11, 1469960. doi: 10.3389/fnut.2024.1469960
100
ManS.GaoW.ZhangY.HuangL.LiuC. (2010). Chemical study and medical application of saponins as anti-cancer agents. Fitoterapia81, 703–714. doi: 10.1016/j.fitote.2010.06.004
101
MannaaM.HanG.SeoY.-S.ParkI. (2021). Evolution of food fermentation processes and the use of multi-omics in deciphering the roles of the microbiota. Foods10, 2861. doi: 10.3390/foods10112861
102
MarcoM. L.HeeneyD.BindaS.CifelliC. J.CotterP. D.FolignéB.et al. (2017). Health benefits of fermented foods: Microbiota and beyond. Curr. Opin. Biotechnol.44, 94–102. doi: 10.1016/j.copbio.2016.11.010
103
MashamaiteC. V.MothapoP. N.AlbienA. J.PieterseP. J.PhiriE. E. (2020). A suspect under the National Environmental Management Biodiversity Act (NEM: BA) – Moringa oleifera’s ecological and social costs and benefits. S. Afr. J. Bot.129, 249–254. doi: 10.1016/j.sajb.2019.07.019
104
MatthewO. J.SaiduA. N.JigamA. A.OchemeO. B. (2022). Nutritional, antinutritional, and functional properties of different processed (soaking, germination, and boiling) flour from Moringa oleifera Lam. seed. J. Food Proc. Preserv.46, e16052. doi: 10.1111/jfpp.16052
105
MehlomakuluN. N.EmmambuxM. N. (2022). Nutritional quality of wet and dry processed Moringa oleifera Lam. leaves: A review. Food Rev. Int.38, 1635–1655. doi: 10.1080/87559129.2020.1831527
106
MenelihA.GirmaA.AemiroA. (2025). Advancing nutritional quality in oilseed crops through genome editing: A comprehensive review. GM Crops Food16, 709–732. doi: 10.1080/21645698.2025.2572864
107
MinakshiJ.KumariN.KumarR.KumarA.RaniB.PhogatD.et al. (2021). Moringa (Moringa oleifera L.): An underutilized and traditionally valued tree holding remarkable potential. J. Hortic. Sci.16, 1–13. doi: 10.24154/jhs.v16i1.1073
108
MohapatraD.PatelA. S.KarA.DeshpandeS. S.TripathiM. K. (2019). Effect of different processing conditions on proximate composition, antioxidants, antinutrients and amino acid profile of grain sorghum. Food Chem.271, 129–135. doi: 10.1016/j.foodchem.2018.07.196
109
MosesO.LiX.WangE. S.KanagarajanS.GuanR.IvarsonE.et al. (2025). Knockout of BnaX.SGT.a caused significant sinapine reduction in transgene-free rapeseed mutants generated by protoplast-based CRISPR RNP editing. Front. Plant Sci.15, 1526941. doi: 10.3389/fpls.2024.1526941
110
MosesT.PapadopoulouK. K.OsbournA. (2014). Metabolic and functional diversity of saponins, biosynthetic intermediates and semi-synthetic derivatives. Crit. Rev. Biochem. Mol. Biol.49, 439–462. doi: 10.3109/10409238.2014.953628
111
MuluviG. M.SprentJ. I.SoranzoN.ProvanJ.OdeeD.FolkardG.et al. (1999). Amplified fragment length polymorphism (AFLP) analysis of genetic variation in Moringa oleifera Lam. Mol. Ecol.8, 463–470. doi: 10.1046/j.1365-294X.1999.00589.x
112
MurnieceR.ReidzaneS.RadenkovsV.StraumiteE.KekeA.KobrinE.-G.et al. (2025). Scald fermentation time as a factor determining the nutritional and sensory quality of rye bread. Foods14, 979. doi: 10.3390/foods14060979
113
NarayanaP.MandalS.ShankarR.KVR. (2024). EST-SSR based genetic diversity analysis and their tagging to coding and non-coding regions in Moringa oliefera. J. Hortic. Sci.19. doi: 10.24154/jhs.v19i2.2381
114
NascimentoA. P. S.BarrosA. N. (2025). Sustainable innovations in food microbiology: Fermentation, biocontrol, and functional foods. Foods14, 2320. doi: 10.3390/foods14132320
115
NdouD. L.NdhlalaA. R.TavengwaN. T.MadalaN. E. (2023). A relook into the flavonoid chemical space of Moringa oleifera Lam. Leaves through a combination of LC‐MS and molecular networking. J. Anal. Methods Chem.2023, 1327886. doi: 10.1155/2023/1327886
116
NtilaS.NdhlalaA.KolanisiU.AbdelgadirH.SiwelaM. (2019). Acceptability of a moringa-added complementary soft porridge to caregivers in Hammanskraal, Gauteng Province and Lebowakgomo, Limpopo Province, South Africa. S. Afr. J. Clin. Nutr.32, 51–57. doi: 10.1080/16070658.2018.1449377
117
OlsonM. E.CarlquistS. (2001). Stem and root anatomical correlations with life form, diversity, ecology and systematics in Moringa (Moringaceae). Bot. J. Linn. Soc135, 315–348. doi: 10.1111/j.1095-8339.2001.tb00786.x
118
OlsonM. E.RazafimandimbisonS. G. (2000). Moringa hildebrandtii (Moringaceae): a tree extinct in the wild but preserved by indigenous horticultural practices in Madagascar. Adansonia22, 217–221.
119
PareekA.PantM.GuptaM. M.KashaniaP.RatanY.JainV.et al. (2023). Moringa oleifera: An updated comprehensive review of its pharmacological activities, ethnomedicinal, phytopharmaceutical formulation, clinical, phytochemical, and toxicological aspects. Int. J. Mol. Sci.24, 2098. doi: 10.3390/ijms24032098
120
PashaS. N.ShafiK. M.JoshiA. G.MeenakshiI.HariniK.MahitaJ.et al. (2020). The transcriptome enables the identification of candidate genes behind medicinal value of Drumstick tree (Moringa oleifera). Genomics112, 621–628. doi: 10.1016/j.ygeno.2019.04.014
121
PatriotaL. L. D. S.RamosD. D. B. M.Gama e SilvaM.Dos SantosA. C. L. A.SilvaY. A.MarinhoA. D. O.et al. (2021). The trypsin inhibitor from Moringa oleifera flowers (MoFTI) inhibits acute inflammation in mice by reducing cytokine and nitric oxide levels. S. Afr. J. Bot.143, 474–481. doi: 10.1016/j.sajb.2021.09.032
122
PengB.NieP.XuH. (2025). Plant-based fermented foods: Classification, biochemical transformations, and health benefits. Fermentation11, 364. doi: 10.3390/fermentation11070364
123
PerveenS.AkhtarS.QamarM.SaeedW.SulemanR.YounisM.et al. (2024). The effect of Lactiplantibacillus plantarum fermentation and blanching on microbial population, nutrients, anti-nutrients and antioxidant properties of fresh and dried mature Moringa oleifera leaves. J. Agric. Food Res.18, 101366. doi: 10.1016/j.jafr.2024.101366
124
PessioneE. (2012). Lactic acid bacteria contribution to gut microbiota complexity: Lights and shadows. Front. Cell. Infect. Microbiol.2, 86. doi: 10.3389/fcimb.2012.00086
125
PetroskiW.MinichD. M. (2020). Is there such a thing as “anti-nutrients”? A narrative review of perceived problematic plant compounds. Nutrients12, 2929. doi: 10.3390/nu12102929
126
PopO. L.KerezsiA. D.Ciont-NagyC. (2022). A comprehensive review of Moringa oleifera bioactive compounds—Cytotoxicity evaluation and their encapsulation. Foods11, 3787. doi: 10.3390/foods11233787
127
PortoM. S.PinheiroM. P. N.BatistaV. G. L.Dos SantosR. C.De Albuquerque Melo FilhoP.De LimaL. M. (2014). Plant promoters: An approach of structure and function. Mol. Biotechnol.56, 38–49. doi: 10.1007/s12033-013-9713-1
128
POWO. (2026). Plants of the World Online. Facilitated by the Royal Botanic Gardens, Kew. Available online at: https://powo.science.kew.org/ (Accessed September 2, 2026).
129
PuspitasariC.PinsirodomP.Wattana-ChaisaereekulS. (2024). Effect of solid-state fermentation using Aspergillus oryzae and Aspergillus Niger on bitter and bioactive compounds of Moringa oleifera seed flour. LWT207, 116616. doi: 10.1016/j.lwt.2024.116616
130
RazzakA.RoyK. R.SadiaU.ZzamanW. (2022). Effect of thermal processing on physicochemical and antioxidant properties of raw and cooked Moringa oleifera Lam. pods. Int. J. Food Sci.2022, 1502857. doi: 10.1155/2022/1502857
131
RichterN.SiddhurajuP.BeckerK. (2003). Evaluation of nutritional quality of moringa (Moringa oleifera Lam.) leaves as an alternative protein source for nile tilapia (Oreochromis niloticus L.). Aquaculture217, 599–611. doi: 10.1016/S0044-8486(02)00497-0
132
RicrochA.RahalW. B.GentyB.LherminierR. (2026). Global status of genome editing versus transgenesis legislation in plants and the current EU situation. NPJ Sci. Plants2, 3. doi: 10.1038/s44383-025-00016-2
133
RodriguesJ.SoaresC.MoreiraM.RamalhosaM.DuarteN. F.Delerue-MatosC.et al. (2023). Moringa oleifera Lam. commercial beverages: A multifaceted investigation of consumer perceptions, sensory analysis, and bioactive properties. Foods12, 2253. doi: 10.3390/foods12112253
134
RodriguezH.CurielJ. A.LandeteJ. M.De Las RivasB.De FelipeF. L.Gómez-CordovésC.et al. (2009). Food phenolics and lactic acid bacteria. Int. J. Food Microbiol.132, 79–90. doi: 10.1016/j.ijfoodmicro.2009.03.025
135
RufaiS.HanafiM. M.RafiiM. Y.AhmadS.AroluI. W.FerdousJ. (2013). Genetic dissection of new genotypes of drumstick tree (Moringa oleifera Lam.) using random amplified polymorphic DNA marker. BioMed. Res. Int.2013, 604598. doi: 10.1155/2013/604598
136
SaaR. W.Fombang-NganeE.RadhaC.NdjantouE. B.Njintang-YanouN. (2022). Effect of soaking, germination, and roasting on the proximate composition, antinutrient content, and some physicochemical properties of defatted Moringa oleifera seed flour. J. Food Proc. Preserv.46, e16329. doi: 10.1111/jfpp.16329
137
SahaD.PandaA. K.DattaS. (2025). Critical considerations and computational tools in plant genome editing. Heliyon11, e41135. doi: 10.1016/j.heliyon.2024.e41135
138
SahuA.VermaR.GuptaU.KashyapS.SanyalI. (2024). An overview of targeted genome editing strategies for reducing the biosynthesis of phytic acid: An anti-nutrient in crop plants. Mol. Biotechnol.66, 11–25. doi: 10.1007/s12033-023-00722-1
139
SainiR. K.SaadK. R.RavishankarG. A.GiridharP.ShettyN. P. (2013). Genetic diversity of commercially grown Moringa oleifera Lam. cultivars from India by RAPD, ISSR and cytochrome P450-based markers. Plant Syst. Evol.299, 1205–1213. doi: 10.1007/s00606-013-0789-7
140
SainiR.ShettyN.GiridharP.RavishankarG. (2012). Rapid in vitro regeneration method for Moringa oleifera and performance evaluation of field-grown nutritionally enriched tissue cultured plants. 3 Biotech.2, 187–192. doi: 10.1007/s13205-012-0045-9
141
SainiR. K.SivanesanI.KeumY. S. (2016). Phytochemicals of Moringa oleifera: A review of their nutritional, therapeutic and industrial significance. 3 Biotech.6, 203. doi: 10.1007/s13205-016-0526-3
142
SallauA. B.MadaS. B.IbrahimS.IbrahimU. (2012). Effect of boiling, simmering and blanching on the antinutritional content of Moringa oleifera leaves. Int. J. Food. Nutr. Saf.2, 1–6.
143
SamtiyaM.AlukoR. E.DhewaT. (2020). Plant food anti-nutritional factors and their reduction strategies: An overview. Food Prod. Proc. Nutr.2, 6. doi: 10.1186/s43014-020-0020-5
144
SandgrindS.LiX.IvarsonE.AhlmanA.ZhuL. H. (2021). Establishment of an efficient protoplast regeneration and transfection protocol for field cress (Lepidium campestre). Front. Genome Ed.3, 757540. doi: 10.3389/fgeed.2021.757540
145
SchlemmerU.FrolichW.PrietoR. M.GrasesF. (2009). Phytate in foods and significance for humans: Food sources, intake, processing, bioavailability, protective role and analysis. Mol. Nutr. Food Res.53, S330–S375. doi: 10.1002/mnfr.200900099
146
Sebiani-CalvoA.Hernández-SotoA.HenselG.Gatica-AriasA. (2024). Crop genome editing through tissue-culture-independent transformation methods. Front. Genome Ed.6, 1490295. doi: 10.3389/fgeed.2024.1490295
147
ShafiK. M.SajeevanR. S.KouserS.VishnuprasadC. N.SowdhaminiR. (2022). Transcriptome profiling of two Moringa species and insights into their antihyperglycemic activity. BMC Plant Biol.22, 561. doi: 10.1186/s12870-022-03938-6
148
ShahidiF.ZhongY. (2010). Novel antioxidants in food quality preservation and health promotion. Eur. J. Lipid Sci. Technol.112, 930–940. doi: 10.1002/ejlt.201000044
149
SharmaR.GargP.KumarP.BhatiaS. K.KulshresthaS. (2020). Microbial fermentation and its role in quality improvement of fermented foods. Fermentation6, 106. doi: 10.3390/fermentation6040106
150
ShiH.SuB.ChenX.PianR. (2020). Solid-state fermentation of Moringa oleifera leaf meal by mixed strains for protein enrichment and improvement of nutritional value. PeerJ8, e10358. doi: 10.7717/peerj.10358
151
ShiH.YangE.LiY.ChenX.ZhangJ. (2021). Effect of solid-state fermentation on nutritional quality of leaf flour of the drumstick tree (Moringa oleifera Lam.). Front. Bioeng. Biotechnol.9, 626628. doi: 10.3389/fbioe.2021.626628
152
ShiH.YangE.YangH.HuangX.ZhengM.ChenX.et al. (2022). Dynamic changes in the chemical composition and metabolite profiles of drumstick (Moringa oleifera Lam.) leaf flour during fermentation. LWT155, 112973. doi: 10.1016/j.lwt.2021.112973
153
ShyamliP. S.PradhanS.PandaM.ParidaA. (2021). De novo whole-genome assembly of Moringa oleifera helps identify genes regulating drought stress tolerance. Front. Plant Sci.12, 766999. doi: 10.3389/fpls.2021.766999
154
SinghA.KarjagiC.RakshitS. (2020). Minimally altering a critical kinase for low-phytate maize. Sci. Rep.10, 6324. doi: 10.1038/s41598-020-63016-5
155
SoaresT. F. S. N.GoisI. B.SouzaJ. L.MunizE. N.LedoA. D. S.SilvaA. V. C. D. (2024). Moringa oleifera Genebank in Brazil: current status and future approaches. Sci. Agric.81, 20230233. doi: 10.1590/1678-992X-2023-0233
156
SpokA.SprinkT.AllanA. C.YamaguchiT.DayéC. (2022). Towards social acceptability of genome-edited plants in industrialised countries? Emerging evidence from Europe, United States, Canada, Australia, New Zealand, and Japan. Front. Genome Ed.4, 899331. doi: 10.3389/fgeed.2022.899331
157
Starzynska-JaniszewskaA.StodolakB.Fernández-FernándezC.MickowskaB.VerardoV.Gómez-CaravacaA. M. (2022). Phenolic profile, antioxidant activity and amino acid composition of Moringa leaves fermented with edible fungal strains. Foods11, 3762. doi: 10.3390/foods11233762
158
SteinitzB.TabibY.GabaV.GefenT.VakninY. (2009). Vegetative micro-cloning to sustain biodiversity of threatened Moringa species. In. Vitro Cell. Dev. Biol. Plant45, 65–71. doi: 10.1007/s11627-008-9162-x
159
StephensonK. K.FaheyJ. W. (2004). Development of tissue culture methods for the rescue and propagation of endangered Moringa spp. germplasm. Econ. Bot.58, S116–S124. doi: 10.1663/0013-0001(2004)58[S116:DOTCMF]2.0.CO;2
160
TamangJ. P.CotterP. D.EndoA.HanN. S.KortR.LiuS. Q.et al. (2020). Fermented foods in a global age: East meets West. Compr. Rev. Food Sci. Food Saf.19, 184–217. doi: 10.1111/1541-4337.12520
161
TanZ.XieZ.DaiL.ZhangY.HuZ.TangS.et al. (2021). Genome- and transcriptome-wide association studies reveal the genetic basis and the breeding history of seed glucosinolate content in Brassica napus. Plant Biotechnol. J.20, 211–225. doi: 10.1111/pbi.13707
162
TeixeiraE. M. B.CarvalhoM. R. B.NevesV. A.SilvaM. A.Arantes-PereiraL. (2014). Chemical characteristics and fractionation of proteins from Moringa oleifera Lam. leaves. Food Chem.147, 51–54. doi: 10.1016/j.foodchem.2013.09.135
163
ThierryN. N.LéopoldT. N.DidierM.MosesF. M. C. (2013). Effect of pure culture fermentation on biochemical composition of Moringa oleifera Lam. leaves powders. Food. Nutr. Sci.4, 851–859. doi: 10.4236/fns.2013.48111
164
ThurberM. D.FaheyJ. W. (2009). Adoption of Moringa oleifera to combat under-nutrition viewed through the lens of the “diffusion of innovations” theory. Ecol. Food Nutr.48, 212–225. doi: 10.1080/03670240902794598
165
TianX.TangH.LinH.ChengG.WangS.ZhangX. (2013). The potential chemotherapeutic agents in pursuing new anti-glioblastoma drugs. Mini-Rev. Med. Chem.13, 1709–1724. doi: 10.2174/13895575113136660083
166
TianY.ZengY.ZhangJ.YangC.-H.YanL.WangX.-J.et al. (2015). High quality reference genome of drumstick tree (Moringa oleifera Lam.), a potential perennial crop. Sci. China Life Sci.58, 627–638. doi: 10.1007/s11427-015-4872-x
167
TomarT.SachdevaA.DuttaJ.Al TawahaA. R. M.KarnwalA.MalikT.et al. (2025). Fermentation dynamics of millet beverages: Microbial interactions, nutritional enhancements, and health implications. Food. Chem. X.25, 102199. doi: 10.1016/j.fochx.2025.102199
168
TricoliD. M.DebernardiJ. M. (2023). An efficient protoplast-based genome editing protocol for Vitis species. Hortic. Res.11, uhad266. doi: 10.1093/hr/uhad266
169
TripathiM. K.MishraA. S. (2007). Glucosinolates in animal nutrition: A review. Anim. Feed. Sci. Technol.132, 1–27. doi: 10.1016/j.anifeedsci.2006.03.003
170
VanajakshiV.VijayendraS. V. N.VaradarajM. C.VenkateswaranG.AgrawalR. (2015). Optimization of a probiotic beverage based on Moringa leaves and beetroot. LWT. Food Sci. Technol.63, 1268–1273. doi: 10.1016/j.lwt.2015.04.023
171
Van EckJ. (2020). Applying gene editing to tailor precise genetic modifications in plants. J. Biol. Chem.295, 13267–13276. doi: 10.1074/jbc.REV120.010850
172
VaralakshmiB.Devaraju (2007). Genetic diversity in drumstick (Moringa oleifera lam) germplasm. Acta Hortic.752, 411–412. doi: 10.17660/ActaHortic.2007.752.73
173
Vergara-JimenezM.AlmatrafiM. M.FernandezM. L. (2017). Bioactive components in Moringa oleifera leaves protect against chronic disease. Antioxidants6, 91. doi: 10.3390/antiox6040091
174
WangY.HeL.XingY.ZhouW.PianR.YangF.et al. (2019). Bacterial diversity and fermentation quality of Moringa oleifera leaves silage prepared with lactic acid bacteria inoculants and stored at different temperatures. Bioresour. Technol.284, 349–358. doi: 10.1016/j.biortech.2019.03.139
175
WickramasingheY. W. H.WickramasingheI.WijesekaraI. (2020). Effect of steam blanching, dehydration temperature and time on the sensory and nutritional properties of an herbal tea developed from Moringa oleifera leaves. Int. J. Food Sci.2020, 5376280. doi: 10.1155/2020/5376280
176
WittstockU.KliebensteinD. J.LambrixV.ReicheltM.GershenzonJ. (2003). “ Glucosinolate hydrolysis and its impact on generalist and specialist insect herbivores,” in Integrative Phytochemistry: From Ethnobotany to Molecular Ecology. Ed. RomeoJ. T. ( Elsevier, Oxford), 101–125. doi: 10.1016/S0079-9920(03)80020-5
177
WooJ. W.KimJ.KwonS. I.CorvalanC.ChoS. W.KimH.et al. (2015). DNA-free genome editing in plants with preassembled CRISPR–Cas9 ribonucleo proteins. Nat. Biotechnol.33, 1162–1164. doi: 10.1038/nbt.3389
178
World Conservation Monitoring Centre (1998). Moringa arborea. In: IUCN Red List of Threatened Species. Available online at: http://www.iucnredlist.org/ (Accessed April 23, 2008).
179
YamaguchiN. U.CusioliL. F.QuesadaH. B.Camargo-FerreiraM. E.Fagundes-KlenM. R.Salcedo-VieiraA. M.et al. (2021). A review of Moringa oleifera seeds in water treatment: Trends and future challenges. Proc. Saf. Environ. Prot.147, 405–420. doi: 10.1016/j.psep.2020.09.044
180
YangL.MachinF.WangS.SaplaouraE.KraglerF. (2023). Heritable transgene-free genome editing in plants by grafting of wild-type shoots to transgenic donor rootstocks. Nat. Biotechnol.41, 958–967. doi: 10.1038/s41587-022-01585-8
181
ZentekJ.BoroojeniF. G. (2020). (Bio) technological processing of poultry and pig feed: Impact on the composition, digestibility, anti-nutritional factors and hygiene. Anim. Feed. Sci. Technol.268, 114576. doi: 10.1016/j.anifeedsci.2020.114576
182
ZhaiY.TongS.ChenL.ZhangY.AminF. R.KhalidH.et al. (2024). The enhancement of energy supply in syngas-fermenting microorganisms. Environ. Res.248, 118813. doi: 10.1016/j.envres.2024.118813
183
ZhangM.HuangY.ZhaoH.WangT.XieC.ZhangD.et al. (2017b). Solid-state fermentation of Moringa oleifera leaf meal using Bacillus pumilus CICC 10440. J. Chem. Technol. Biotechnol.92, 2083–2089. doi: 10.1002/jctb.5203
184
ZhangJ.LinM.ChenH.ChenX. (2017a). Agrobacterium tumefaciens-mediated transformation of drumstick (Moringa oleifera Lam.). Biotechnol. Biotechnol. Equip.31, 1126–1131. doi: 10.1080/13102818.2017.1368415
185
ZhengM.YangH.YangE.ZouX.ChenX.ZhangJ. (2022). Efficient in vitro shoot bud proliferation from cotyledonary nodes and apical buds of Moringa oleifera Lam. Ind. Crops Prod.187, 115394. doi: 10.1016/j.indcrop.2022.115394
Summary
Keywords
anti-nutritional factors, breeding, genetic diversity, microbial fermentation, moringa, omics approach, transgene-free genome editing
Citation
Karunagaran S, Muthusamy S, Manikandan A, Lekshmi PRG, Leelavathi S, Gidagiri P, Sivakumar SD, Selvaraj SK, Saminathan VR, Babu C, Ganesan KN, Kannan B, Pushpam R, Rajaprakasam S and Kanagarajan S (2026) Biodiversity and genetic improvement of Moringa oleifera: traditional breeding and genome editing strategies for reducing anti-nutritional factors. Front. Plant Sci. 17:1869631. doi: 10.3389/fpls.2026.1869631
Received
30 April 2026
Revised
16 July 2026
Accepted
06 August 2026
Published
07 September 2026
Volume
17 - 2026
Edited by
Jasmina Lukinac, Faculty of Food Technology Osijek, Croatia
Reviewed by
Jafar K. Lone, Lovely Professional University, India
Pradeepto Pal, Central Agricultural University, India
Updates
Copyright
© 2026 Karunagaran, Muthusamy, Manikandan, Lekshmi, Leelavathi, Gidagiri, Sivakumar, Selvaraj, Saminathan, Babu, Ganesan, Kannan, Pushpam, Rajaprakasam and Kanagarajan.
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*Correspondence: Selvaraju Kanagarajan, selvaraju.kanagarajan@slu.se; Sudhagar Rajaprakasam, sudhagar.r@tnau.ac.in
†These authors have contributed equally to this work
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