Abstract
The expanding world population demands superior forest protection to fulfil feasible environmental certainty. The persistent pest infestations negatively influence forest health and cause substantial economic losses. In contrast, the traditional use of conventional pesticides results in a loss of soil microbial biodiversity, a drop in the population of pollinators, and adverse effects on other non-target organisms, including humans. Global forestry is looking for solutions to reduce the adverse environmental effects of current chemical pesticides. RNAi-nanotechnology has recently drawn much attention for its use in pest management. The advantages of engineered RNAi-chitosan nano-formulations in terms of simple digestion and dissolution, non-toxicity, high adsorption power, potential biodegradation in nature, and widespread availability and cost-effectiveness, have been well documented for pest management in agroecosystems. However, deploying such control strategies in forest ecosystems is still pending and demands further research. Hence, we highlight the putative uses of RNAi-chitosan biopesticides and their preparation, characterization, and putative application methods for forest pest management. We also discussed potential environmental risks and plausible mitigation strategies.
Introduction
Given the ongoing increase in global population, many countries have lost forests and facing climate change (Ritchie and Roser, 2021).1 Forestry is a crucial industry in many developing countries, and it can produce food and gross income as a domestic product for both people and animals, as well as contributes to balancing the environmental conditions, respectively. However, a variety of biotic factors like insect pests (i.e., bark beetles, weevils, chewing, sucking, and foliage-feeding insects) and diseases caused by pathogens (i.e., tree leaves diseases, pine needle diseases, hardwood leaf diseases, tree bark diseases, and tree root diseases) limit forest growth and tend to get worse with a growing human population (Kan et al., 2023). Consequently, to address pest-related issues, pesticides (insecticides, fungicides, herbicides, etc.) have been overused and often misused, which has had fatal short and long-term effects on humans and other life forms (Chhipa, 2017). Pesticide resistance is common in pest insects, and their preexisting adaptive capabilities facilitate quick resistance in field conditions (Bras et al., 2022). With the accessibility of new technologies, superior approaches to controlling insect pests and disease-caused pathogens can be considered. RNA interference (RNAi) technology and nanotechnology have recently captured the interest and imagination of scientists and researchers due to recent advancements in the discipline. Delivering RNAi biopesticides with the use of nanotechnology in the forestry sector is a quick, innovative, and promising field (Shang et al., 2019; Joga et al., 2021; Silver et al., 2021; Mogilicherla et al., 2022).
Polymeric nanoparticles are non-toxic, economical, environmentally friendly, and most significant controlled-release formulations, so researchers are interested in the feasibility of their application in different sectors (Prajapati et al., 2022). Nonetheless, employing some polymeric nanoparticles at higher concentrations demonstrates a phytotoxicity effect on plants, and it depends on initial material selection, nanoparticle preparation methods, and the impact varies according to plant species (Jogaiah et al., 2021). Remarkably, no instances of phytotoxicity have been reported concerning RNAi-polymeric nanoparticles. Chitin is the second-most common natural polymer after cellulose and is obtained mainly from shrimps, crabs, lobsters, and crawfish by-products (Figure 1; Faqir et al., 2021). Chitin is a linear, poly-(1,4)-N-acetyl-D glucosamine that appears in nature as organized crystalline microfibrils called α-chitin, β-chitin, and γ-chitin (Vani and Stanley, 2013). Chitosan is a partly deacetylated polymer of N-acetyl glucosamine produced by the alkaline deacetylation of chitin (Figure 1). Chitosan has several unique features due to the amine and hydroxyl groups, making it useful in many contexts and accessible for chemical reactions (Chouhan and Mandal, 2021). Since it may produce safe and non-toxic complexes through electrostatic interaction with its positive cationic group and the negative anionic group of the RNAi molecules (dsRNA/siRNA), it enhances the stability of RNAi molecules (Gurusamy et al., 2020a; Sandal et al., 2023). A natural process of RNAi converts dsRNA into 21-25-nucleotide-long siRNAs, which are then recruited to the RNA-induced silencing complex (RISC), which then finds and degrades the mRNA (Fire et al., 1998; Agrawal et al., 2003; Yu et al., 2013). RNAi has demonstrated considerable potential for formulating new pest control practices because of its species specificity and high efficacy (Zhu and Palli, 2020; Joga et al., 2021). However, it is underexploited in the forestry sector (Joga et al., 2021; Mogilicherla et al., 2022).
FIGURE 1

Scheme illustrating the RNAi-chitosan biopesticides formulations and their applications for forest insect pest management. (A) Synthesis of chitosan nanoparticles: marine by-products will produce chitin, which has been partially deacetylated and yields chitosan. Chitosan nanoparticles produced by chitosan dissolved in acetic acid under spontaneous mechanical churning at room temperature. (B) Production of RCNPs: RCNPs can be created via the adsorption, encapsulation, and electrostatic interaction approaches. Also, chitosan can be used as a coating material for dsRNA-expressed symbiotic microbes. RCNPs can be characterized in terms of size, zeta potential, and shape. (C) Putative application of RNCPs: RCNPs can be applied to forests to control forest pests and diseases using the foliar application, trunk injection, and soil drenching approaches leading to the species-specific killing of forest insect pests (bark beetles, termites, ants). (D) Environmental impact: deploying RNCPs will reduce the application of commercial pesticides.
Variable RNAi efficiency among insects has been linked to several mechanisms, including dsRNA degradation in the hemolymph and midgut lumen, decreased dsRNA uptake by cells, decreased induction of RNAi components upon exposure to dsRNA, missing components in the RNAi pathway, and accumulation of dsRNA in endosomes (Katoch et al., 2013; Shukla et al., 2016; Singh et al., 2017; Yoon et al., 2017; Cooper et al., 2019). The last 10 years have spotted the development and implementation of a chitosan-based dsRNA delivery method that boosts the possibility of RNAi applications in insect pest management (Table 1; Zhang et al., 2010; Das et al., 2015; Gurusamy et al., 2020a; Kolge et al., 2021). In order to prevent insect pests and diseases, chitosan-RNAi is utilized in the field of agriculture (Reglinski et al., 2004; Fitza et al., 2013; Bharani et al., 2014; Sahab et al., 2015; Silva-Castro et al., 2018; Ingle et al., 2022) and can also be used for forest protection (Joga et al., 2021; Mogilicherla et al., 2022). This succinct perspective discusses the synthesis of RNAi-chitosan nanopesticides (RCNPs) and characterization, as well as the evaluation of their effectiveness and biocompatibility against insect pests and microbes from a forest insect pest management and forest health point of view (Figure 1).
TABLE 1
| Insect species | Target gene | Nanomaterial | dsRNA/siRNA/miRNA | Delivery method | References |
| Anopheles gambiae | Chitin synthase 1 and Chitin synthase 2 | Chitosan | dsRNA | Feeding by diet | Zhang et al., 2010; Zhang et al., 2015 |
| Aedes aegypti | Semaphorin-1a | Chitosan | siRNA | Feeding by diet | Mysore et al., 2013 |
| Aedes aegypti | Vacuolar-sorting protein SNF7 and SRC proton-oncogene | Chitosan | dsRNA | Feeding by diet | Das et al., 2015 |
| Aedes aegypti | Vestigial (vg) | Chitosan | dsRNA | Feeding by diet | Kumar et al., 2016 |
| Aedes aegypti | Inhibitor of apoptosis | Chitosan-sodium tripolyphosphate | dsRNA | Feeding by diet | Dhandapani et al., 2019 |
| Spodoptera frugiperda | Inhibitor of apoptosis | Chitosan | dsRNA | Feeding by diet | Gurusamy et al., 2020a |
| Ostrinia nubilalis | lethal giant larvae protein (OnLgl; MT467568) | Chitosan | dsRNA | Feeding by diet | Cooper et al., 2020 |
| Chilo suppressalis | Glyceraldehyde-3-phosphate dehydrogenase | Chitosan | dsRNA | Feeding by oral drinking | Wang et al., 2020 |
| Helicoverpa armigera | Acetylcholinesterase (AChE) | Chitosan | dsRNA | Feeding by topical spray | Kolge et al., 2021 |
| Helicoverpa armigera | Lipase and chitinase | Chitosan | dsRNA | Feeding by diet and leaf | Kolge et al., 2023 |
| Nilaparvata lugens | Chitin synthase A | Rosin-modified PEG and chitosan | dsRNA | Feeding by topical application | Lyu et al., 2023 |
RNAi-chitosan biopesticides: current status against pest insects.
RNAi-chitosan biopesticides synthesis methods
Chitosan is a polycationic polysaccharide that occurs naturally and is produced when chitin is partially deacetylated (Figure 1). Chitosan has several physicochemical characteristics, including molecular weight, viscosity, degree of deacetylation, and crystallinity (Kas, 1997; Riseh et al., 2022). A primary amine group with a pKa value of around 6.5 is present in every deacetylated subunit of chitosan; as a result, chitosan is soluble in acidic pH, like acetic acid but insoluble in neutral and alkaline pH. The amount of chitosan© deacetylation, molecular weight, ionic strength of the solution, and pH significantly impact its solubility (Mao et al., 2010). Chitosan dissolved in acetic acid and spontaneous mechanical churning at room temperature leads to caused nanoparticles. In addition, adjusting the chitosan-to-stabilizer ratio altered the particle size and surface charge (Hosseini et al., 2015). Several methods have been described for synthesizing RCNPs, such as electrostatic interaction, encapsulation, and adsorption (Figure 1). When chitosan is dissolved in acidic circumstances, the degree of chitosan deacetylation (DCDA) value influences the positive charge density; more DCDA results in an enhanced positive charge, allowing a better dsRNA/siRNA binding capacity (Liu et al., 2007; Mao et al., 2010). The ionotropic gelation method uses the electrostatic contact between a negatively charged group of nucleotides (e.g., in dsRNA) and the amine group of chitosan and self-assembled to form the polyelectrolyte complex (PEC) as a result of a decrease in hydrophilicity caused by charge neutralization between the cationic polymer and dsRNA. When dsRNA is added to chitosan (in acetic acid) solution and with continuous stirring at room temperature, the RCNPs can be produced spontaneously (Figure 1). Also, chitosan© molecular weight affects the physicochemical characteristics of RCNPs, including their size, zeta potential, shape, and complex stability (Mao et al., 2010). The surface charge of the RCNPs is dependent on the molar ratio of chitosan nitrogen (N) to dsRNA phosphate (P) (N/P ratio), which affects the particle capacity to efficiently condense dsRNA and interact with negatively charged cells, which in turn affects the transfection efficiency (Köping-Höggård et al., 2001; Huang et al., 2005; Jeong et al., 2007; Nafee et al., 2007). The chitosan salt form also impacted the RCNPs, such as chitosan glutamate, which had a larger molecular weight, created smaller complexes with dsRNA/siRNA, and had a higher siRNA loading efficiency than chitosan hydrochloride (Katas and Alpar, 2006). The amount of dsRNA at a certain point within the RCNPs plays a fundamental role in host cell transfection efficiency, whereas more concentration of dsRNA will increase the diameter of the particles and form an aggregation, and will decline the transfection (MacLaughlin et al., 1998; Romøren et al., 2003; Zhao et al., 2006; Mao et al., 2010). Chitosan can be employed as a dsRNA-chitosan complex as well as a coating material for symbiotic microbes that express dsRNA to provide a flexible technology platform for the management of forest insect pests (Figure 1; Mao et al., 2010; Joga et al., 2021; Riseh et al., 2022).
RNAi-chitosan biopesticides: current status
RNAi-chitosan nanopesticides extend to precision use due to their minuscule dimensions, high surface area, enhanced permeability, thermal stability, dispersion, and biodegradability to improve forest yield and to control target action based on insect pests or microbes infection (Figure 1; Adisa et al., 2019; Kumar et al., 2019). For applying RCNPs in forestry, several methods like foliar application, trunk injection, and soil drenching can be considered (Figure 1; Joga et al., 2021; Mogilicherla et al., 2022). Chitosan nanoparticle-mediated RNAi has been developed over the last 10 years as an alternative to traditional pest control methods (Table 1).
The formulations of RCNPs have significant potential to control the attack of several common pests like aphids, moths, and beetles (Sahab et al., 2015; Gurusamy et al., 2020a). Silencing of the CHS1, CHS2, semaphorin-1a, and vestigial (vg) genes by feeding chitosan-dsRNA nanoparticles to mosquitoes (Anopheles gambiae and Aedes aegypti) showed more pesticide-susceptible (Zhang et al., 2010, 2015; Mysore et al., 2013; Kumar et al., 2016). Our group and colleagues successfully knocked down the target genes (CAD, AMN, CHS, JHAMT, AMY, V-ATPase, IAP1, V-ATPase B, Sec23, SNF7, and SRC) using chitosan-dsRNA nanoparticles and observed decent mortality in A. aegypti and Spodoptera frugiperda (Das et al., 2015; Gurusamy et al., 2020a). Also, the complexes of chitosan-sodium tripolyphosphate-dsRNA (CS-TPP-dsRNA) showed improved mortality in A. aegypti (Dhandapani et al., 2019). In another study, the chitosan-dsRNA nanopesticides showed good stability, cellular uptake, and mortality in Chilo suppressalis (Wang et al., 2020). Helicoverpa armigera was significantly controlled when RCNPs were applied topically to chickpea plants (Kolge et al., 2021). Additionally, RCNPs were stable for 5 days on leaf surfaces, effectively protected from nuclease degradation and insect gut pH, and efficiently knocked down the targeted genes (JHAMT and AChE), resulting in 100% insect mortality, whereas the non-targeted insects like Spodoptera litura and Drosophila melanogaster were unaffected and showed no signs of toxicity (Kolge et al., 2021, 2023). A recent study demonstrated that topically applying dsRNA-coated with rosin-modified PEG and chitosan (dsRNA/ROPE@C) to Nilaparvata lugens (Brown plant hopper) causes excellent gene knockdown and mortality (Lyu et al., 2023). Recently, our team created chitosan-dsRNA nanopesticides, fed them to bollworms (Earias vittella), and observed considerable target gene knockdown and mortality (Sandal et al., 2023). Additionally, the price drop from $12500 to $2 for 1 g of dsRNA has increased the likelihood that RNAi technology will be applied in the field (Zotti et al., 2018). Our colleagues successfully applied bacterially expressed dsRNA in a tropical setting and observed a significant reduction in Colorado potato beetle (CPB) infection (Máximo et al., 2020; Petek et al., 2020). Most recently, researchers developed an RNAi-based biopesticide known as “ledprona” against the CPB, which inhibits enzyme expression, facilitates protein breakdown, and ultimately causes mortality (Pallis et al., 2023). These investigations could pave the path for creating and using RCNPs as a safe, effective, and novel way to protect crops and forest trees.
Furthermore, researchers used the chitosan domain to encapsulate metal-based nanoparticles (Ag, Au, Fe, Co, Cu, TiO2, ZnO, SiO2, and CaCO3) to increase plant resilience to salt, drought, and heavy metal environments (Souri et al., 2017; Behboudi et al., 2019; Sen et al., 2020; Ali et al., 2021; Sheikhalipour et al., 2021) and improve their health for protecting themselves from other biotic stresses (Naidu et al., 2023). The previous studies successfully used double-layered hydroxide (LDH), carbon quantum dots (CQD), branched amphiphilic peptide capsules (BAPCs), and lipid nanoparticle-based dsRNA formulations to address biotic stress caused by insects (Mitter et al., 2017; Christiaens et al., 2020; Gurusamy et al., 2020b; Kaur et al., 2020). Such findings encourage researchers to adopt similar approaches to improve forest health. However, the above-mentioned nanomaterials have some limitations, i.e., manufacturing synthetic nanomaterials is expensive, and excessive nanoparticle concentrations may negatively impact forest soil health and microfauna. Dedicated studies can evaluate the feasibility of these nanoparticles in forest protection.
Chitosan encapsulated microbes: new hope against forest insect pests
Chitosan is frequently utilized as a carrier for encasing microbial agents because of its ability to take the form of particles, films, capsules, gels, fibres, and porous forms and its unquestionable success in field applications (Lakkis, 2016; Saberi Riseh et al., 2021). Three potential methods (diffusion, osmotic burst, and erosion or breakdown) will work separately or together and release the microbial substances from chitosan encapsulations. Encapsulating chitosan-microbes (chitosan-ATCC393 and chitosan-139S1) can protect against several environmental challenges (Li et al., 2011; Vejan et al., 2019). Moreover, the Harpinpss-chitosan, BMI-chitosan, B. thuringiensis-chitosan, B. cereus-chitosan, E. fergusonii-chitosan, B. thuringiensis-chitosan, and Pseudomonas-chitosan encapsulations tested on tomato, soybean, cotton, tobacco, bean, corn, and Hyaloptera peroni plants showed a reduction in egg-laying in female insects, thereby reducing the population and insect damage (Badawy and El-Aswad, 2012; Zeng et al., 2012; Chandrashekharaiah et al., 2015; Sahab et al., 2015; Badawy and Rabea, 2016; Kitherian, 2017; Ureña Saborío et al., 2017; Nadendla et al., 2018; De Oliveira et al., 2021). Based on the aforementioned findings, RNAi molecules expressed in microbes that can be encapsulated with chitosan are a viable technology and can be used as RNAi-biopesticides in forest pest management (Figure 1). However, such potential demands further dedicated studies and pilot field experiments.
Chitosan-symbiont-mediated RNAi (CSMR): an appealing idea
SMR is a potent tool, and researchers have developed endogenous symbionts to express target dsRNAs for insect control (Chen et al., 2015; Hu and Wu, 2016; Whitten et al., 2016; Hu and Xia, 2019). Recent research identified the bacterial symbionts, used them to express dsRNA effectively, and controlled the two evolutionarily divergent insect species (R. prolixus and F. occidentalis) (Whitten et al., 2016). Additionally, entomopathogenic fungi were identified and used to induce fungal-induced gene silencing (FIGS) in the insects B. tabaci and L. migratoria (Chen et al., 2015; Hu and Xia, 2019). Our colleagues from the United States are deploying fungal-induced gene silencing (FIGS) technology to manage bark beetles, i.e., genetically modifying the bark beetle-associated yeast Ogataea pini, to generate specific dsRNA molecules that target Ips calligraphus (information based on personal communication). Our team has also successfully identified and isolated insect-symbiotic bacteria and fungi (Chakraborty et al., 2020a,b, 2023b) and may use them as a CSMR for tropical application to control the bark beetles and termites (Gupta et al., 2023). Recently, our group identified 69 core bacterial genera and 19 fungal genera among six bark beetles (Ips typographus, Ips duplicatus, Ips cembrae; Ips sexdentatus, Ips acuminatus, and Polygraphus poligraphus). Notably, the most abundant bacterial genera were Erwinia, Sodalis, Serratia, Tyzzerella, Raoultella, Rahnella, Wolbachia, Spiroplasma, Vibrio, and Pseudoxanthomonas whereas the most abundant fungal genera belong to the phylum Ascomycota (Chakraborty et al., 2020a,b, 2023a). Further, our group focused on exploring how varying ages of Norway spruce wood and different terpene concentrations affect the microbial compositions associated with two termite species, Reticulitermes flavipes and Microcerotermes biroi (Chakraborty et al., 2023b). In termite-infested wood samples, the relative abundance of bacterial genera like Pseudomonas, Massilia, and Rhizobium was high, and Spirochaeta and Treponema revealed notable changes in relative abundance between these two species. Moreover, within termite-infested wood, fungal communities affiliated with the Eurotiales, Sordariales, Hypocreales, Trichospornales, and Ophiostomatales orders were identified, notably, the fungal genera Apiotrichum, Fusarium, Hawksworthiomyces, Lasiodiplodia, Sporothrix, Trichosporon, and Trichoderma displayed substantial prevalence in the termite-infested wood. As described thoroughly in our recent review, some identified microbial associates of bark beetle or termites can be good candidates for Symbiont-mediated RNAi or SMR (Gupta et al., 2023). Nevertheless, SMR technology can be considered for its potential in forest conservation; additional refinements are necessary before applications.
Environmental risks and regulatory status of RNAi-chitosan biopesticides
In order to increase forest production and health, RCNPs will be utilized more frequently in forestry and dispersed into the environment. Due to their biodegradable nature, these substances may not harm non-target organisms; they may not bioaccumulate and not interact with other environmental contaminants and dissolved organic matter, which means they will not harm the environment as well as humans and animals (Chandy and Sharma, 1990; Aspden et al., 1997; Rao and Sharma, 1997). RNAi-biopesticides made of chitosan are easily dissolved in nature and unable to accumulate in the food chain, stunt plant growth, or potentially harm people and animals. Although studies have shown that nanoparticles pose a risk to the environment, they have also sparked much interest in environmental cleanup (Roy et al., 2021). Therefore, more research is necessary to comprehend RCNPs and their relationship to the environment thoroughly. Understanding the characteristics of various RNAi-chitosan bioformulation is crucial, as is making comparisons between pure active ingredients and both nanoformulations and traditional formulations to see how the behaviour of the active components changes (Kah et al., 2018).
Future of RCNPs in forestry: a long way to go
Applications for RCNP in the forest have numerous obstacles, including developing different delivery strategies for various microbes and insect pests, facilitating plant uptake and in planta systemic movement of RCNPs, looking for synergistic effects, such as dsRNAs targeting multiple genes and combining RNAi with other pest control methods, and establishing a congruent confluence, building a regulatory framework that is widely accepted for the commercialization, therefore lowering the price for their widespread use. Recently, RCNPs were used in the field, and the result demonstrated their compact size, cationic charge, effective loading, resistance to degradation, effective cellular uptake, stability, and adhesion to leaf surfaces (Petek et al., 2020; Kolge et al., 2021, 2023). Few RNAi-based insecticides have so far been licensed and will soon be available on the market (Li et al., 2023; Pallis et al., 2023).
The advancement of RNAi-nanotechnology has been beneficial to forestry. However, strict controls are in place for forests to ensure the security of feed and food sources, possible risks to human and animal health, non-target organisms and beneficial microbes, and the long-term environmental effects of the deliberate release of RNAi-nanomaterials (Kumar et al., 2019; Gilbertson et al., 2020; Hofmann et al., 2020; Mogilicherla et al., 2022). The European Union is developing regulatory rules for engineered RNAi-nanomaterials in forestry food safety (Lowry et al., 2019). Preparing regulatory guidelines for RNAi-nanomaterials is more difficult due to several factors, including the difficulty in defining nanomaterials, tracing their sources and transport pathways, quantifying them in environmental samples, assessing their bioavailability, and interpreting their toxicity (Lai et al., 2018; Hofmann et al., 2020; Gottardo et al., 2021). Under such circumstances, creating cutting-edge analytical methods for regulatory purposes is necessary.
The capacity of researchers and scientists to develop forest pest-specific dsRNAs will increase as more omics data for forest insects, helpful microorganisms, and non-target organisms become accessible and help to reduce possible risks. Fortunately, our group and CZU colleagues (CZU, Prague) have recently involved forest insects (bark beetles and termites) genome and transcriptome sequencing and their symbiotic microbes transcriptome sequencing, which along with other excellent efforts from colleagues worldwide, will significantly enhance sequence information on forest insect pests and facilitate future species-specific RNAi-based biopesticides development.
Conclusion
RCNPs may replace currently used pesticides since they are biodegradable, biocompatible, and low toxicity (Figure 1). Chitosan nanoparticles can encapsulate different RNAi molecules (dsRNA/siRNA) and RNAi-symbiotic microbes and form RCNPs. They are more effective and have better bioavailability, a longer half-life, and a higher surface-to-volume ratio and act as a bio-stimulant used to combat microbial illnesses and insect pests in forest management. RCNPs can be applied in forests using various techniques, including foliar application, trunk injection, and soil drenching. Based on current findings, using RCNPs can also increase forest productivity, protect forests from insect pests, and extend their commercialization. However, research on product development and technique optimization is required before commercial manufacture and environmental application. Nevertheless, this perspective will provide new direction to the research community working on forest protection and enhance their interest in using alternative approaches, such as deploying molecular toolboxes against forest insect pests.
Statements
Data availability statement
The original contributions presented in this study are included in the article, further inquiries can be directed to the corresponding author.
Author contributions
AR contributed to the conceptualization. KM wrote the first draft. Both authors contributed to the figure preparation, reviewing, and finalizing the draft.
Funding
AR and KM are supported by grant no. CZ.02.1.01/0.0/0.0/15_003/0000433; Grant No. CZ.02.1.01/0.0/0.0/16_019/0 000803 financed by OP RDE and “Excellent team” grant 2023-24 from FLD, CZU.
Acknowledgments
We appreciate the helpful feedback provided by two reviewers and the handling editor.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Abbreviations
A. aegypti, Aedes aegypti; AchE, acetylcholine esterase; AMN, Aminopeptidase; AMY, Alpha-amylase; A. gambiae, Anopheles gambiae; A. solani, Alternaria solani; BMI, bacterial metabolic infiltrates; CAD, Cadheri; CHS, Chitin synthase; CHS1, chitin synthase 1; CHS2, chitin synthase 2; CPB, Colorado potato beetle; D. melanogaster, Drosophila melanogaster; DCDA, degree of chitosan deacetylation; dsRNA, double-stranded RNA; E. vittella, Earias vittella; H. armigera, Helicoverpa armigera; IAP1, Inhibitor of apoptosis 1; JHAMT, juvenile hormone methyltransferase; mRNA, complementary messenger RNA; N. lugens, Nilaparvata lugens; P. grisea, Pyricularia grisea; PEC, polyelectrolyte complex; PRR, pattern recognization receptor; PSTV, Potato spindle tuber virus; RCNPs, RNAi-chitosan nanopesticides; RISC, RNA-induced silencing complex; Sec23, Sec23 homolog A; SNF7, ESCRT-III subunit protein SNF7; SRC, SRC proto-oncogene; S. frugiperda, Spodoptera frugiperda; S.litura, Spodoptera litura; S. lycopersicum, Solanum lycopersicum; siRNA, small interfering RNA; TBSV, bean/tomato bushy stunt virus; TNV, tobacco necrosis virus; Vg, vestigial; V-ATPase, V-type proton ATPase; V-ATPase B, Vacuolar-type ATPase B; SMR, symbiont mediated RNAi.
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Summary
Keywords
forestry, RNA interference, nanotechnology, chitosan-RNAi biopesticides, forest insect pest management, forest protection
Citation
Mogilicherla K and Roy A (2023) RNAi-chitosan biopesticides for managing forest insect pests: an outlook. Front. For. Glob. Change 6:1219685. doi: 10.3389/ffgc.2023.1219685
Received
09 May 2023
Accepted
21 August 2023
Published
05 September 2023
Volume
6 - 2023
Edited by
Milica Zlatkovic, University of Novi Sad, Serbia
Reviewed by
Erika V. S. Albuquerque, Brazilian Agricultural Research Corporation (EMBRAPA), Brazil; Antonio Figueira, University of São Paulo, Brazil
Updates
Copyright
© 2023 Mogilicherla and Roy.
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*Correspondence: Amit Roy, roy@fld.czu.cz
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