Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Microbiol., 26 August 2025

Sec. Microbe and Virus Interactions with Plants

Volume 16 - 2025 | https://doi.org/10.3389/fmicb.2025.1637235

Aspergillus Niger 129B promotes plant growth by inducing the interaction between SAUR32 and PP2C72

Juan HeJuan He1Li Yuan GaoLi Yuan Gao1Yong Ping LuoYong Ping Luo1Min ChaiMin Chai1Hua Feng WangHua Feng Wang1Lu Hong YangLu Hong Yang1Kang ZhaoKang Zhao1Yushanjiang MaimaitiYushanjiang Maimaiti2Yuan Jun Nie
Yuan Jun Nie3*Wei Chen
Wei Chen1*
  • 1School of Life Science, Shanxi Normal University, Taiyuan, China
  • 2Xinjiang Institute of Plant Protection, Ürümqi, China
  • 3College of Agricultural Economics and Management, Shanxi Agricultural University, Taiyuan, China

Introduction: Plant growth-promoting fungi (PGPF) play a fundamental role in plant development, such as nutrient acquisition and root growth. However, the growth promotion mechanisms regulated by Aspergillus niger are poorly characterized.

Methods: We examined the growth-promoting effects of Aspergillus niger 129B on tomato plant root, stem, and leaf development through a combination of phenotype analyses and plant biomass measurement. Subsequently, molecular and genetic experiments were conducted to reveal the mechanism promoting root, stem, and leaf development.

Results: It demonstrated that 129B significantly promoted the growth of tomato plants. Plant transcriptome and metabolome analysis revealed that this effect was associated with the plant hormone signaling pathway, particularly the expression of SAUR32 and PP2C72 genes. In addition, 129B could promote the development of root, stem, and leaf tissues by downregulating the expression of SAUR32 and PP2C72 genes. Importantly, we found that the promotion of tissue development may be attributed to the interaction between SAUR32 and PP2C72; the expression of SAUR32 proteins, which act as inhibitors of PP2C72 phosphatases, triggered root H+ efflux.

Discussion: Our findings concluded that 129B-induced plant promotion is dependent on the interaction between SAUR32 and PP2C72, providing novel insights into beneficial plant–microbiome interactions.

Graphical abstract
www.frontiersin.org

Graphical Abstract. Role of Aspergillus niger in improving the tomato growth and inducing the SUAR32 and PP2C72 interaction.

Introduction

Microbes play a pivotal role in promoting plant growth and enhancing plant tolerance to abiotic and biotic stress. The consequences of these beneficial interactions include the emergence of specific plant-associated phenotypes (Oyserman et al., 2018), such as increased plant biomass, reduced pathogen growth, and enhanced plant growth and development (Batista et al., 2018). Microbiomes adhering to the surface or internal tissues of plant roots are selectively shaped by various plant-derived primary and secondary metabolites (Sasse et al., 2018; Canarini et al., 2019). Microbiomes reciprocate by sustaining plant growth and generating metabolites that regulate processes such as nutrient uptake and root elongation (Tracanna et al., 2021). Developing a comprehensive understanding of the genetic architecture of microbes that influence plant growth and how these interactions lead to specific plant-associated phenotypes is a pivotal focal point in current plant microbiology research (Gouda et al., 2018; Han et al., 2024). The promise is that plants can rely on specific members of the microbiome to improve growth and increase yields (Oyserman et al., 2021).

The plant growth-promoting microorganisms (PGPMs) are considered important biofertilizer resources that have profound impacts on ensuring crop growth, enhancing quality and quantity, improving soil properties, and controlling fungal pathogenesis, as well as preventing biotic stresses (Fu et al., 2024; Soumare et al., 2021). PGPMs can directly enhance plant nutrition acquisition from the soil and decompose organic matter through processes such as phosphate solubilization and nitrogen fixation (Alori et al., 2017). Additionally, PGPMs can mediate plant growth through producing exogenous phytohormones, such as auxin, abscisic acid (ABA), gibberellins, and ethylene (ET) (Ali and Khan, 2021). Some PGPMs can indirectly enhance plant growth by mitigating the deleterious effects of pathogens through systemic resistance induction, the production of repressive substances, and the improvement of plant nutrition (Gu et al., 2020). PGPMs commonly have more than one beneficial influence on plants through interacting with plant roots (Bruto et al., 2014). The growth stimulation potential of some economically available PGPMs has been studied through field experiments, including Trichoderma harzianum, Aspergillus niger, Bacillus, and Pseudomonas. However, the selection of new PGPMs with unique beneficial characteristics remains urgently needed. Recent studies have demonstrated that the genus Variovorax can completely promote root growth caused by community-level microbes (Finkel et al., 2020); the genus Massilia can interact with soybean cultivars to promote seed oil accumulation (Han et al., 2024); and the species Enterobacter sp. SA187 can interact with Arabidopsis thaliana to cope with drought resilience and temperature stress (Andres et al., 2021); the genus Streptomyces can produce secondary metabolites to alleviate drought and salinity stress (Yang et al., 2023); and nd the species Streptomyces sp. NEAU6 can improve root growth and coleoptile growth in rice (Liu et al., 2022). The species Trichoderma guizhouense NJAU4742 produces the secondary metabolite anthranilic acid (2-AA), which promotes root development (Fu et al., 2025). Hence, the screening of new PGPMs and explanation of the molecular mechanisms of growth promotion have been proposed.

The root, stem, and leaf architecture is fundamental to improving plant growth and increasing grain yield. Specifically, changes in these architectures include plant height, stem diameter, overall root growth, root surface area, mean root diameter, root volume, and relative chlorophyll content (Mohamed et al., 2022). The root system directly interacts with microorganisms, which are essential for increasing the root surface area to continually absorb nutrients from the surrounding environment (Fu et al., 2025). The root formation process is controlled by cell wall adaptation that integrates auxin responses, root growth, and chemical signals. Plant root development depends on auxin-regulated genes in the auxin signaling pathway. SMALL AUXIN UP RNAs (SAURs) are primary auxin-responsive genes involved in the auxin signaling pathway to enhance plant root development and nutrient acquisition (Truskina et al., 2021). Previous research has confirmed that SAURs regulate plant developmental and physiological processes based on the acid growth theory. Expression of SAUR19, SAUR41, and SAUR63 genes is involved in regulating hypocotyl elongation and leaf size in Arabidopsis; the SAUR39 gene governs the root meristem as a positive regulator in rice (He et al., 2021). Additionally, auxin signaling inhibits ATPase dephosphorylation through the SAUR-PP2C.D pathway, thereby regulating plant growth and development. The SAUR19 in Arabidopsis can inhibit PP2C.D phosphatases to activate the plasma membrane (PM)-localized P-type H+-ATPase (Spartz et al., 2014). Certain PGPMs have been shown to produce active substances that affect the auxin signaling pathway, thereby stimulating plant growth and development. For example, some bacterial species have been shown to activate auxin signaling within plants, which subsequently induces auxin-regulated gene expression, promoting plant growth (Ortiz-Castro et al., 2011). Bacillus spp. interacted with Arabidopsis and was able to influence auxin signaling to induce root development (Li et al., 2021). Additionally, the PGPMs of Trichoderma regulate Arabidopsis thaliana root morphogenesis via the auxin signaling pathway (Chen et al., 2024). These signaling pathways mediate plant growth and root development by secreting active substances. However, whether PGPMs can induce effects on the auxin signaling pathway in plants that regulate plant-associated phenotypes is unclear.

The genus Aspergillus is a filamentous ascomycete fungus widely used in industrial production and biotechnology research (Xin et al., 2023). It has also been identified as a plant growth-promoting fungus that effectively enhances crop quality and yield without causing environmental pollution (Mohamed et al., 2022). Some Aspergillus strains isolated from soil have been suggested to possess potential for interactions between Aspergillus and plants. The use of Aspergillus is a common strategy employed by researchers to enhance plant growth. Previous research has proved that some Aspergillus exert plant growth-promoting effects correlated with increases in tissue growth and plant biomass, for example, secreting secondary metabolites to promote plant growth and stimulate substances responsible for pathogen suppression (El-Maraghy et al., 2020); stimulating ion transport to increase vegetative growth, producing amino cephalosporanic acid acylase enzymes, and inducing plant immunity (Kriaa et al., 2015; Ismail et al., 2019); controlling fungal phytopathogens (Kour et al., 2019); and stimulating plant growth by facilitating nutrient acquisition and producing phytohormones, such as the small auxin-up RNA (SAUR). However, the plant growth promotion mechanism regulated by Aspergillus remains unclear. In this study, we investigated the impact of Aspergillus niger 129B on the growth and development of tomato plants. Tomatoes (Solanum lycopersicum) have been widely recognized as one of the most consumed vegetables in the global food industry. Ensuring a substantial tomato crop yield is crucial for meeting the growing global population’s need for nutritious food. Studying a tomato growth-promoting fungus probably meets the growing demand for food resources (Tayeb et al., 2024). In this study, we demonstrated that Aspergillus niger 129B induced phenotypic and biomass variability in tomato plants. This mechanism involved the expression of SAUR32 proteins, which act as inhibitors of PP2C72 phosphatases, thereby triggering root H+ efflux.

Materials and methods

Plant material

The experimental material consisted of tomato plants (Solanum lycopersicum L., cv. Tianfei 9) grown in a climate-controlled growth room at 25 ± 1°C, 65 ± 5% relative humidity, and a 16:8 h light:dark photoperiod. Tomato samples from 15-day-old seedlings of uniform growth and development were collected for conducting Aspergillus niger infection.

Fungi material

The evolving lineages of A. niger in the experimental evolution assay were derived from the Shanxi Provincial Engineering Research Center for Microbial Application Technology, Shanxi, China, which we refer to here as the experimental strain A. niger 129B. The strain was cultivated on potato dextrose agar (PDA) at 28°C. Escherichia coli DH5α, grown in LB medium at 37°C, was used for plasmid propagation, while Agrobacterium tumefaciens AGL1, maintained on LB medium at 28°C, was used for plasmid transformation. Reagents for plasmid construction and real-time qPCR were obtained from Takara (China) to identify the experimental strain A. niger 129B. Spores of A. niger 129B were collected from PDA cultures incubated at 28°C for 7 days and subsequently cultured in corn steep liquor at a concentration of 1 × 10−6 CFU/mL. This spore suspension was used for A. niger infection of tomato roots.

Fungi treatment

For the tomato root experiments, 15-day-old tomato seedlings (one seedling per pot) were transferred to containers containing natural soil. Immediately after transplantation, the base of the tomato root was infected with 25 mL of fungal suspension or with 25 mL of aseptic water as a control. Subsequently, the fungi suspension-treated seedlings were continuously irrigated with 25 mL of the solution every other day until the 45th day, while the control seedlings, which did not receive A. niger 129B treatment, were irrigated with 25 mL of water until the 45th day. The tomato plants were cultivated in a growth chamber with a controlled temperature (26 ± 1°C) and a photoperiod of 16 h of light and 8 h of darkness. For each treatment, three independent experiments were carried out. Samples from the fungal treatment were used for morphological traits and molecular analyses.

Measurement of plant height, stem thickness, and root growth

The aboveground growth condition of the tomato between the control and A. niger 129B was photographed on days 0, 7, 14, 21, 28, and 35, respectively. The plants with uniform growth were selected from each treatment on the 35th day of A. niger incubation to measure their height and stem thickness using a ruler.

We measured root morphological traits after carefully washing the roots with DI water and removing any adhering moisture. The determination of root architecture parameters followed the methodology of Gao et al. (2023). Tomato seedling roots with uniform growth were scanned using an Epson Perfection V850 Pro scanner (Epson, Tokyo, Japan). The resulting scanned images were analyzed using specialized root analysis software (WinRHIZO 2016, Regent Instruments Corporation, Shanghai, China). Root growth-related parameters, including total root length, total root surface area, average root diameter, and root volume, were determined for each treatment on the 15th, 30th, and 45th days of A. niger incubation. Three biological replicates were measured for each treatment.

Measurement of chlorophyll content

The tomato leaf growth conditions between the control and A. niger 129B were photographed on days 0, 7, 14, 21, 28, and 35, respectively. Chlorophylls of the 35th day post-treatment (35 dpt) leaf of tomato were extracted with 80% acetone. Chlorophyll content in leaves was determined at 663 nm via a spectrophotometer (Evolution 300, Thermo Fisher Scientific, United States) using the BioTek Synergy H4 Hybrid Multi-Mode Microplate Reader. Each treatment had three biological replications.

Measurement of H+ flux using NMT

Tomato plants at the fourth leaf stage, 14 dpt with A. niger 129B, were washed with deionized (DI) water, and root tissues were fully immersed in experimental solution (0.1 mM CaCl2, 0.3 mM 2-(N-morpholino) ethanesulfonic acid, pH = 6) for 30 min of equilibration. Then, H+ fluxes at the tomato root apex were recorded using the non-invasive microtest technique (NMT, 100S-SIM-XY, Xuyue Sci & Tech Co., Ltd., Beijing, China) according to the previously reported method (Wang et al., 2022). Continuous transient H+ efflux was monitored at the meristematic region (500 μm from the root tip) and recorded for 5 min. Each measurement was conducted using five biological replicates. Data analysis was conducted using imFluxes V2.2 software.

Transcriptome analysis

Fungal infection samples and control samples treated with aseptic water at 30 dpt were stored at −20°C until further transcriptome analysis. Transcript assay total RNA extraction using the TransZol Up Plant RNA Kit (Beijing Transgenbiotech Co., Ltd., Beijing, China) for Illumina® was performed according to previous research (Wu et al., 2023). The mRNA product was purified from 3 μg of RNA using poly-T-oligo-attached magnetic beads. Subsequently, the purified mRNA fragments were fragmented into small pieces using a proprietary fragmentation buffer at elevated temperatures. First-strand cDNA was synthesized through reverse transcription using random oligonucleotide primers SuperScript II, followed by second-strand cDNA synthesis using DNA Polymerase I and RNase H. TailingMix and RNA Index Adapters added for terminal repair incubation were selectively enriched using Illumina PCR Primer Cocktail in a 15-cycle PCR reaction. PCR amplification products of cDNA fragments were purified using the AMPure XP system and dissolved in EB solution. The sequencing library generated from the PCR product was denatured by heating. Finally, looping through the splint oligo sequence facilitated the formation of single-stranded circular DNA (ssCir DNA), completing the final library. The transcriptomic analysis of gene functional annotations was performed as described previously (Wu et al., 2023), including Gene Ontology (GO), eggNOG, Kyoto Encyclopedia of Genes and Genomes (KEGG) databases, GO enrichment analysis, KEGG pathway enrichment analysis of differentially expressed genes, and KEGG Orthology (KO) analysis of unigenes. All the above measurements were performed with five replications.

Metabolite data analysis

Tomato seedlings, 30 days post-transplantation (dpt), were used for the metabolomics assay. The experimental group was infected with 25 mL of fungal suspension, while the control seedlings, which did not receive A. niger 129B treatment, were irrigated with 25 mL of aseptic water. All samples were stored at −80°C until further metabolomics analysis. Eighty milligrams of the thawed samples were obtained to add a pre-cooled methanol/acetonitrile/aqueous solution (2:2:1, v/v), and then quickly frozen with liquid nitrogen to grind into a fine powder. Subsequently, the powder was added to 1,000 μL of a methanol/acetonitrile/H2O mixture (2:2:1, v/v/v), and the mixture was centrifuged to collect the supernatant for metabolomics analysis. The significance of differences in metabolomes was analyzed using the partial least squares discriminant analysis (PLS-DA) methodology and a t-test, as well as fold change (FC) analysis (Wu et al., 2024). Differentially expressed metabolites were determined using principal component analysis (PCA). Differentially expressed metabolites (DEMs) were determined with the parameters of variable importance of projection (VIP) in the PLS-DA model ≥1 and fold-change ≥1.5 or ≤0.67. The Kyoto Encyclopedia of Genes and Genomes (KEGG) databases were used to annotate the differential metabolites and identify associated metabolic pathways. Five biological replications were measured for each treatment.

qRT-PCR validation of RNA-seq data

The expression levels of eight differentially expressed genes were selected to validate the reliability of the RNA-seq data using quantitative real-time PCR (qRT-PCR) technology (CFX96 Real-Time System, Bio-Rad, California, United States). The reaction system of the Real-Time PCR System, using SYBR Green as the fluorescent dye, was employed according to the manufacturer’s protocol. The PCR amplification system for each sample had a total volume of 25 μL, consisting of 1 μL of cDNA, 1 μL of gene-specific primers, 10.25 μL of RNase-free water, 0.25 μL of Rox Dye (50×), and 12.5 μL of 2 × PerfectStart Green qPCR SuperMix (TransGen Biotech, China). The PCR reaction system comprised an initial denaturation step at 95°C for 5 min, followed by 40 cycles of 10 s at 95°C, 15 s at 55°C, and 20 s at 72°C. The validation of RNA-seq data consisted of three biological replicates with three technical replicates. Solanum lycopersicum. SL3.0.51.genomme.fa (S1) was the internal control gene.

RNA extraction and qRT-PCR analysis

The tomato plant at 45 dpt with A. niger 129B was available for analysis of gene expression in root, stem, and leaf. Total RNA extraction from each sample of tomato root, stem, and leaf utilizing the TransZol Up Plant RNA Kit (Beijing Transgenbiotech Co., Ltd., Beijing, China) was performed according to the manufacturer’s instructions. Quantitative reverse transcription PCR (qRT-PCR) was performed using the PerfectStart Uni RT & qPCR Kit (Beijing Transgenbiotech Co., Ltd., Beijing, China) on a Stratagene Mx3000P Real-Time PCR system (Stratagene, CA, United States) in accordance with the manufacturer’s protocols. The primers are as follows: PP2C72-F: TAAGGAACTGTGATGGTAGAG, PP2C72-R: GCAAGAACAAGCAGATGAC; SAUR32-F: GCATCCCAAAGGGGTGTCTT, SAUR32-R: GGTTATGATGTCCGGTGGCA; S1Actin-F: GGAATGGGACAGAAGGAT, S1Actin-R: CAGTCAGGAGAACAGGGT. The PCR amplification system for each sample had a total volume of 20 μL, consisting of 1 μL of cDNA, 0.8 μL of gene-specific primers, 7.8 μL of RNase-free water, 0.4 μL Universal Passive Reference Dye (50×), and 10 μL of 2 × PerfectStart Green qPCR SuperMix (TransGen Biotech, China). The PCR reaction protocol included an initial denaturation step at 95°C for 5 min, followed by 40 cycles of 10 s at 95°C, 15 s at 55°C, and 20 s at 72°C. S1 was utilized as the internal reference control. The relative expression levels of genes SAUR32 and PP2C72 were calculated using the 2−ΔΔCT method. Each sample was represented by three biological replicates with three technical replicates.

Subcellular localization

The experimental tobacco (Nicotiana benthamiana) used in this research was cultivated in a greenhouse at 24°C and 37% relative humidity, with a 16-h light/8-h dark photoperiod. Moreover, 15-day-old tomato seedlings were used to obtain the cDNA sequences of the genes SUAR32 and PP2C72 for vector construction. The coding regions of SAUR32 and PP2C72 were inserted into the NcoI/SpeI sites of pCAMBIA1302. The subcellular localization of SUAR32 and PP2C72 fused to the GFP fluorescent reporter was performed in N. benthamiana leaf protoplasts in accordance with the protocol described previously (Wang et al., 2011). Briefly, protoplast cells from the third and fourth leaves, counting from the top of each tobacco plant, were isolated and transformed via the PEG-mediated protoplast transfection method (Wang et al., 2011). Full-length cDNA was fused with GFP in PGBKT7-SAUR32 and PGADT7-PP2C72, which were individually transiently transformed into the protoplasts of N. benthamiana leaves. After incubation for two nights, GFP fluorescence images were captured using a fluorescence confocal microscope (Dragonfly CR-DFLY-505; Suzhou Anqin Air Technology Corporation, Suzhou, China).

Yeast two-hybrid assay

Yeast two-hybrid (Y2H) assays were performed in accordance with the manufacturer’s protocol. The complete coding sequences of the SAUR32 and PP2C72 genes were amplified from the Tianfei 9 variety using 15-day-old tomato seedlings and primers as described above. The coding regions of SAUR32 and PP2C72 were inserted between the NdeI/BamHI sites of pGADT7 and between the NdeI/BamHI sites of pGBKT7. The resulting PCR fragments were sequenced to validate their reliability and then integrated into pGBKT7 or pGADT7 vectors using double-restriction enzyme digestion with NdeI/BamHI. The resulting recombinant bait and prey plasmids were co-transformed into the yeast Y2H strain and selected on SD-Leu-Trp media at 30°C for 3 days. Subsequently, a selective single colony was inoculated into liquid SD-Leu-Trp medium and incubated overnight at 30°C. Eventually, the overnight cultures were serially diluted into three concentrations and spotted on SD-Leu-Trp and SD-Leu-Trp-His media, followed by incubation at 30°C for 3 days.

Bimolecular fluorescence complementation

The coding regions of SAUR32 and PP2C72 from 15-day-old tomato seedlings were used for the vector construct. Bimolecular fluorescence complementation analysis was conducted as previously described (Kudla and Bock, 2016). Briefly, the coding regions of SAUR32 and PP2C72 were inserted between the NdeI/BamHI sites of pGADT7 and pGBKT7, respectively. pSPYCE(M)-SAUR32, pSPYNE173-PP2C72, pSPYCE(M), and pSPYNE173 were introduced into Agrobacterium tumefaciens strain GV3101 and co-transformed into approximately 5-week-old N. benthamiana leaves via agroinfiltration. GFP fluorescence signals were detected and imaged 3 days post-infiltration using a fluorescence confocal microscope (Dragonfly CR-DFLY-505; Suzhou Anqin Air Technology Corporation, Suzhou, China).

Statistical analysis

All experimental data were analyzed using a minimum of three independent biological replicates with SPSS (IBM SPSS Statistics 25). A one-way ANOVA with Tukey’s post hoc test was applied to compare the means between the controls and treatments, with a p-value of < 0.05.

Results

Plant growth-promoting effect of Aspergillus niger 129B

To determine the influence of A. niger 129B infection on tomato plant growth across different day treatments, we measured morphological characteristics related to plant growth, including plant height, stem diameter, total root length, root surface area, mean root diameter, root volume, relative chlorophyll content, and both aboveground and underground growth conditions. A. niger 129B infection significantly promoted tomato plant growth by increasing plant height, stem diameter and aboveground growth (Figure 1A). These effects were statistically significant at 35th day post-treatment (35 dpt) compared to the water-treated control. Specifically, stimulation with A. niger 129B resulted in an 11.64% increase in plant height (52.75 cm) and a 45.40% increase in stem diameter (9.48 mm) at 35 dpt compared to control values of 47.25 cm and 6.52 mm, respectively (Figures 1B,C). Irrigation with A. niger 129B also led to notable aboveground leaf growth and increased relative chlorophyll content. At 35 dpt, A. niger 129B treatment significantly improved tomato leaf parameters, showing a 25.47% increase in relative chlorophyll content (46.3) compared to the control (36.9) (Figure 2). In terms of underground growth, A. niger 129B inoculation enhanced root tissue growth compared to control plants at 15th, 30th, and 45th days post-treatment (dpt). At 45th dpt, total root length increased by 16.38, 39.26, and 24.83%; root surface area by 9.61, 15.45, and 13.00%, respectively, mean root diameter by 21.42, 18.40, and 19.66%; and root volume by 11.43, 13.74, and 12.60%, respectively, compared to the control treatment. However, at 15th dpt, A. niger 129B did not show statistically significant differences compared to the control (Figure 3).

Figure 1
Six images labeled A(a) to A(f) show tomato plants in pots, grouped in pairs. The plants appear progressively larger from A(a) to A(f). Underneath, graphs B and C depict plant height and stem thickness, respectively. Graph B shows an increase in plant height for HQ compared to CK, marked with two asterisks. Graph C shows an increase in stem thickness for HQ compared to CK, marked with three asterisks.

Figure 1. Effects of fungi treatment on stem growth. A. niger 129B treatment was conducted by irrigating the tomato plant with 25 mL of the solution once every other day. Controls included tomato plants without A. niger 129B treatment instead of irrigating 25 mL of aseptic water once a day. (A) Morphology (scale = 10 cm) of tomato after A. niger 129B treatment under different day treatments. (a–f) Represent the comparison of tomato growth between the control and A. niger 129B on day 0, day 7, day 14, day 21, day 28, and day 35, respectively (left: control group, right: A. niger 129B treatment group). (B) Effects of A. niger 129B treatment on plant height after 35 dpt. (C) Effects of A. niger 129B treatment on stem thickness after 35 dpt. Values are represented as means ± SD of three replicates. Significant differences were based on one-way ANOVA with Tukey’s post hoc test (B,C) (p < 0.05).

Figure 2
Panel A displays six tomato plants labeled a through f, showing different growth stages. Panel B presents a black and white silhouette of two tomato plant leaves. Panel C is a box plot comparing SPAD values between two groups, CK and HQ, with higher values shown for HQ.

Figure 2. Effects of fungi treatment on leaf growth. The control and treatment were the same as above. (A) Effects of A. niger 129B on the morphology (scale = 10 cm) of tomato leaf growth under different day treatments. (a–f) Represent the comparison of tomato leaf growth between the control and A. niger 129B on day 0, day 7, day 14, day 21, day 28, and day 35, respectively (left: control group, right: A. niger 129B treatment group). (B) Leaf scan image of A. Niger 129B on tomato leaves after 35 dpt (left: control group, right: A. niger 129B treatment group). (C) Effects of A. Niger 129B on tomato relative chlorophyll content after 35 dpt. Data are expressed as the mean ± SD of three replicates. Significant difference by one-way ANOVA with Tukey’s post hoc test (p < 0.05).

Figure 3
Two root system images labeled a and b are shown, followed by bar graphs B, C, D, and E. The graphs compare CK (blue) and HQ (red) treatments over 15, 30, and 45 days for total root length, surface area, mean root diameter, and volume, respectively. Significant differences are indicated with asterisks.

Figure 3. Effects of fungi treatment on root growth. (A) Visual display of tomato roots under A. niger 129B treatment at 45 dpt (a: control group, b: A. niger 129B treatment group). (B–E) Root growth treated with A. niger 129B after 15 days, 30 days, and 45 days treatment (B: total root length; C: surface area; D: mean root diameter; and E: root volume). Values are represented as means ± SD of three replicates. Significant differences based on one-way ANOVA with Tukey’s post hoc test (p < 0.01).

H+ fluxes measurement analysis

The H+ flux recordings showed a highly significant efflux after A. niger 129B infection at 14 dpt (Figure 4). The H+ efflux reached 14 pmol·cm−2 s−1 in tomato roots treated with A. niger 129B, while control roots showed minimal H+ efflux at 0.4 pmol·cm−2 s−1 (Figure 4A). The pH value at the root surface of A. niger 129B-infected plants decreased by 0.2 compared to the control (Figure 4B). This increased H+ efflux was driven by H+-ATPases in the plasma membrane, which contributed to enhanced tomato growth after A. niger 129B infection.

Figure 4
Graph and bar chart side by side. Graph A shows H+ flux over time in seconds, with CK in blue and HQ in red, indicating slight variations. Bar chart B compares pH levels for CK and HQ, showing a higher pH for CK. Both charts indicate a statistically similar value marked by the letter “a”.

Figure 4. H+ fluxes in tomato root tips and pH value in tomato root surface of A. niger 129B infection at 14 dpt. (A) The H+ flux in tomato roots. (B) The pH value in the tomato root surface region.

Combined transcriptomic and metabolomic analysis of tomato plants

Transcriptome analysis techniques have been developed in the tomato plant in response to A. niger 129B infection in our research. The expression levels of 13 differentially expressed genes (DEGs) were randomLy validated to assess the reliability of the real-time qPCR experiment, and 8 of these genes passed the differential abundance criteria in both RNA-seq and qPCR analysis (Table 1 and Figure 5). The expression of tomato genes identified in control groups and A. niger treatment was used to identify the DEGs based on |log2(Fold Change) | ≥1.5. A total of 467 significant DEGs were detected in transcriptomic analysis. Three hundred and two DEGs of them showed different degrees of upregulation, while 165 of them performed downregulation in the A. niger 129B treatment compared with the control (Figure 6). Small auxin up RNA (SAUR)-mediated cell elongation and protein phosphatase class 2C (PP2C), involved in regulating plant growth, showed significant downregulation (Figure 5). The combined transcriptomic and metabolomic analysis indicated that SAUR32 interacts with the PP2C72, which regulates the plant signal transduction under A. niger 129B infection (Figure 7A). Moreover, A. niger 129B induced the plant to produce IAA, with a maximum yield of 203.64 ng/μL after 14 days of incubation, compared to the control, which yielded 157.05 ng/μL (Figure 7B).

Table 1
www.frontiersin.org

Table 1. Statistics of transcriptome sequencing of tomato plant under A. niger 129B infection and control conditions after 14 dpt.

Figure 5
Bar charts A to H display relative expression levels of different genes (PR-1, BHLH, MYC2, TCH4, CID1, SAUR32, PP2C72, CRE1) in CK and HQ samples. Expression is significantly different between CK and HQ in most charts. Red bars represent CK, blue bars represent HQ. Asterisks indicate statistical significance: *p<0.05, **p<0.01, ***p<0.001.

Figure 5. Histogram of gene expression. HQ means tomato treated with A. niger 129B after 14 dpt; CK represents tomato treated with aseptic water after 14 dpt. (A–H) Represent PR-1 (Solyc07g006710.2), BHLH (Solyc12g088130.2), MYC2 (gene_Solyc09g089610.3), TCH4 (gene_Solyc12g017240.2), GID1 (gene_Solyc11g045465.1), SAUR32 (Solyc06g053260.1), PP2C72 (gene_Solyc08g065500.2) and CRE1 (Solyc11g071410.2), respectively.

Figure 6
Chart A is a bar graph showing DEG gene counts in the CK versus HO groups with bars in blue for total, green for down-regulated, and orange for upregulated genes. Chart B is a volcano plot highlighting gene expression changes with red dots for up-regulated, blue for down-regulated, and gray for normal expressions, plotted against log2 fold change and negative log10 p-value.

Figure 6. Differentially expressed genes (DEGs) between the Aspergillus niger 129B and control samples. CK was tomato treated with aseptic water after 14 dpt, and HQ means tomato treated with Aspergillus niger 129B after 14 dpt. DEGs are determined based on |log2(Fold Change)| ≥1.5 and p < 0.05. (A) Statistical histogram of differential genes under different treatments (B) Volcano map of different.

Figure 7
Graph A shows a bar chart of auxin expression levels comparing CK and HQ, with HQ significantly higher (** indicates significance). Graph B is a network diagram of plant hormone signal transduction, showing interactions between pathways, metabolites, and genes, marked by different symbols.

Figure 7. Correlation analysis of transcriptomic and metabolomic data of Aspergillus niger 129B. (A) Pathway and differential gene/metabolite network of tomato treated with Aspergillus niger 129B and aseptic water. Circles represent pathways; triangles represent genes; boxes represent metabolites. (B) The concentrations of IAA induced by Aspergillus niger 129B. CK means tomato treated with aseptic water after 14 dpt, and HQ means tomato treated with Aspergillus niger 129B after 14 dpt. (A) pSPYCE(M)-SAUR32 and pSPYNE173-PP2C72 constructs. (B) pSPYCE(M)-SAUR32 + pSPYCE (M) as control. (C) pSPYNE173-PP2C72 + pSPYNE173 as control. Fluorescence, Bright field and Merge indicate images of fluorescence, bright field and merge, respectively.

Expression analysis of SAUR32 and PP2C72 from tomato plants

The A. niger 129B treatment for tissue expression analysis of SAUR32 and PP2C72 revealed its presence at 15th dpt. The SAUR32 and PP2C72 gene transcript levels were identified utilizing a qRT-PCR experiment (Figure 8A). The results showed that the expression of the SAUR32 and PP2C72 genes in all test tissues affected by A. niger 129B infection was affected. When subjected to A. niger 129B treatment, the transcript levels in tomato roots, stems, and leaves exhibited downregulation, with the lowest value observed after 14 days of A. niger 129B infection (Figure 8B).

Figure 8
(A) Gel electrophoresis image with bands for SAUR32, PP2C72, and water controls, marked against a ladder showing base pairs. (B) Bar graphs depicting CK and HQ distribution in roots, stems, and leaves for SAUR32 and PP2C72, with blue representing CK and red representing HQ.

Figure 8. The expression patterns of SAUR32 and PP2C72 genes from a tomato plant with the A. niger 129B infection at 14 dpt. (A) The amplification of genes SAUR32 and PP2C72. (B) qRT-PCR of gene SAUR32 and PP2C72 expression in tomato root, stem, and leaves. The region of the image means the control with aseptic water, and the pink region of the image represents the Aspergillus niger 129B infection.

Subcellular localization of SAUR32 and PP2C72

To investigate the subcellular localization of SAUR32 and PP2C72, transient expression of SAUR32-GFP, PP2C72-GFP, SAUR32-GRFP, and PP2C72-RFP fusion proteins was performed by injecting the constructs into N. benthamiana leaves for 2 days. The construct containing the 35S promoter was used as a blank control. Fluorescent signals from the SAUR32-GFP, PP2C72-GFP, SAUR32-RFP, and PP2C72-RFP fusion proteins were observed in the transformed protoplasts and were detected in both the nucleus and cell membrane (Figure 9). These findings strongly suggest that SAUR32 and PP2C72 were localized in the nucleus and cell membrane.

Figure 9
Three panels labeled A, B, and C show microscopic images of cells stained with GFP, RFP, and bright field microscopy, with a merged image column. A and B display pronounced green and red fluorescence, particularly in cell outlines with fluorescence merging in yellow. Panel C shows minimal fluorescence, appearing mostly as dark cells, serving as a blank control. All images are scaled at twenty micrometers.

Figure 9. Subcellular localization of PP2C72 and SAUR32 in Nicotiana benthamiana leaf epidermis cells. After incubation for 2 days, the fluorescent signals in the tobacco leaf epidermis cells expressing were recorded using confocal microscopy. The panels in this image have 20 μm scale bars. (A) pCAMBIA1302-PP2C72 constructs. (B) pCAMBIA1302-SAUR32 constructs. (C) The empty vector pCAMBIA1302.

SAUR32 interacts with PP2C72 under yeast two-hybrid analyses

Here, we verified the interaction between SAUR32 and PP2C72 using yeast two-hybrid (Y2H) analysis. In our research, we observed that PP2C72-pGADT7 and pGBKT7-SAUR32 cotransformed yeast AH109 were grown in medium at 30°Cfor 3 days. Research findings indicate that the cotransformed positive yeast turned blue on the selective medium (SD-Trp-Leu-His-Ade) containing x-α-gal. The PP2C72-pGADT7 fusion with pGBKT7-SAUR32 in AH109 exhibited growth under specific conditions (Figure 10). These results indicated that SAUR32 interacted with PP2C72.

Figure 10
Yeast two-hybrid assay image showing growth patterns of various bait and prey combinations on different selective media. Columns represent different media types with gradients, and rows represent combinations like pGBKT7-pGADT7, 53-T, LamC-T, SAUR32-/, /-PP2C72, and SAUR32-PP2C72. Distinct yeast growth patterns indicate protein-protein interactions under specific conditions.

Figure 10. Tomato SAUR32 interacts with PP2C72 under yeast two-hybrid (Y2H) analyses. Positive (+) and negative (−) controls are pGADT7-53 + pGBKT7-T and pGADT7-Lam + pGBKT7-T, representing known interacting and non-interacting.

SAUR32 interacts with PP2C72 with BiFC assays

To elucidate the SAUR32 and PP2C72 interaction in vivo, the study was performed using bimolecular fluorescence complementation (BiFC) assays by infiltration of pSPYCE(M)-SAUR32, pSPYNE173-PP2C72, or pSPYCE(M), pSPYNE173 into N. benthamiana leaf samples. Nuclear green fluorescence detected signals from N. benthamiana leaves that were, respectively, introduced with pSPYCE(M)-SAUR32 and pSPYNE173-PP2C72 constructs via the Agrobacterium (GV3101) infiltration method, while no fluorescence signal was present in live plants injected with pSPYCE(M) and pSPYNE173 (Figure 11). The BiFC assays confirmed that SAUR32 interacts with PP2C72.

Figure 11
A set of microscopic images with three panels labeled A, B, and C, each containing three columns: Fluorescence, Brightfield, and Merge. In panel A, the fluorescence image shows bright green patterns indicating strong interaction between pSPYCE(M)-SAUR32 and pSPYNE173-PP2C72. Panel B exhibits faint green fluorescence with pSPYCE(M)-SAUR32 and pSPYNE173, showing less interaction. Panel C shows minimal fluorescence with pSPYCE(M) and pSPYNE173-PP2C72, suggesting low interaction. Each column combines to form a merged image showing the overlap of fluorescence and brightfield signals. Scale bars indicate a size of ten micrometers.

Figure 11. Bimolecular fluorescence complementation in Nicotiana benthamiana. Green fluorescence with a full length means the interaction between SAUR32 and PP2C72. Bar 10 μm. (A) pSPYCE(M)-SAUR32 and pSPYNE173-PP2C72 constructs. (B) pSPYCE(M)-SAUR32 + pSPYCE(M) as control. (C) pSPYNE173-PP2C72 + pSPYNE173 as control. Fluorescence, Bright field and Merge indicate images of fluorescence, bright field and merge, respectively.

Discussion

The filamentous ascomycete fungus A. niger has been reported to promote plant development and root growth, acting as a plant growth-promoting fungus (Mohamed et al., 2022); however, its growth-promoting mechanisms have not been fully characterized. In this research, we found that A. niger 129B significantly improved the above-ground and underground growth conditions (Figures 13). Notably, infection with A. niger 129B promoted the tissue development of the root, stem, and leaf in tomato, including plant height, stem diameter, total root length, root surface area, mean root diameter, root volume, and relative chlorophyll content, which are important contributors in plant regulation of various processes. The above morphological characteristics in tomato plants increased at the 35th day post-treatment compared with the sterile water treatment. The identified A. niger strain of PGPF was evaluated for its biocontrol potential against tomato Fusarium wilt; however, it is present in limited amounts, promoting plant growth (Anwer and Khan, 2013; Galeano et al., 2021). This research confirmed that A. niger 129B significantly improved the plant growth of tomato plants, compensating for the lack of plant growth-promoting fungal mechanisms through A. niger stimulation.

Several beneficial functions of plant growth-promoting fungi have been reported to mediate various aspects of plant growth. The previous studies showed that A. niger linked to plant development and root elongation utilizing as a plant growth-promoting fungus, for example, enhanced the growth of healthy and infected tomato plants (Anwer and Khan, 2013); changed the phosphate solubilization and maize growth (Yin et al., 2015); promoted the growth of native forage grass (Galeano et al., 2021); improved the photosynthetic pigment in tomato plants (Dufossé, 2006); increased the contents of carotenoids, chlorophyll b, total soluble proteins carbohydrates, total phenols and free proline, the POD and PPO activity in tomato plant (Mohamed et al., 2022). In our study, transcriptomics and metabolomics analysis revealed that the plant IAA content exhibited relatively high percentages compared with the control (Figure 6A). The plant hormone IAA has been reported to improve plant growth in agriculture (Cao et al., 2019; Fu et al., 2025).

There are several aspects by which PGPMs can improve plant growth, including nitrogen metabolism, phosphate solubilization, and IAA production of auxin (Bergelson et al., 2021). The SAURs in auxin are well-known plant growth-related auxin-responsive genes that regulate plant tissue development (Zhou et al., 2025). The expression of SAUR family members in different plants plays vital roles in growth-promoting microbiomes, which improve plant growth through root architecture, hypocotyl elongation, the formation of apical hooks, and leaf growth (Anastasios et al., 2022; Jia et al., 2024). Therefore, SAUR32 may contribute to the growth-promoting effect of A. niger 129B in tomato plants. These results are in agreement with previous research. For example, Beauveria bassiana colonization on tomato plants increased the expression level of the drought tolerance-related gene SAUR32 (Mohamed et al., 2022); arbuscular mycorrhizal fungus inoculation observed the DEGs related to auxin-responsive protein SAUR32 in the root system of Camellia sinensis L. (Chen et al., 2021); and inoculation with beneficial Suillus luteus upregulated auxin-responsive protein SAUR32 expression in Scots pine plants (Wen et al., 2025).

SAUR32 contributed to the beneficial traits of PGPMs in promoting plant growth, and this growth mechanism is likely associated with the acid growth theory (Lin et al., 2021). Auxin promotes apoplastic acidification in hypocotyls, with growth regulation mediated by TIR1/AFB-Aux/IAA nuclear auxin signaling. Auxin-triggered, TIR1/AFB-dependent expression of SAUR proteins inhibits PP2C.D phosphatases. This inhibition can activate H+-ATPase activity and regulate pavement cell morphogenesis, thereby enhancing root thermomorphogenesis (Lin et al., 2021; Chen et al., 2024). In our study, the stimulation of plant growth-promoting effects by strain A. niger 129B involves the SAUR32 proteins acting as inhibitors of PP2C72, which implicates the activation of the H+ pump. This activation accelerates the efflux of H+, resulting in a decrease in pH. Previous studies have demonstrated that SAUR19 and SAUR36 family proteins, as positive effectors, interact with PP2C.D phosphatases to modulate PM H+-ATPase activity, thereby promoting hypocotyl cell expansion and regulating hypocotyl elongation in Arabidopsis (He et al., 2021). Although colonization by A. niger 129B led to the downregulation of SAUR32 gene expression in tomato plants, these findings suggest that SAUR32 negatively regulates cell expansion and that its suppression promotes root elongation under A. niger 129B inoculation. This result was in agreement with previous findings, where SAUR32 overexpression hindered apical hook development and led to shortened hypocotyls in Arabidopsis plants (Park et al., 2007).

Plants have been proposed to exhibit root development, allowing them to cope with environmental variations. In this regard, PGPMs are considered essential for influencing root growth and development by regulating cell expansion and differentiation. In Arabidopsis, Pseudomonas spp. can stimulate root primordium formation and enhance its numbers of early-stage (Ortiz-Castro et al., 2011); members of the genus Trichoderma remarkably promoted root primordium formation and its number of late-stage (Chen et al., 2024; Fu et al., 2024); and Bacillus amyloliquefaciens improved the periodic root development and increased its numbers of early-stage (Li et al., 2021). Additionally, Sinomonas gamaensis NEAU-HV1 significantly promotes the root growth of various plants (Fu et al., 2024). Previously, A. niger has been confirmed to improve plant development by acting as a plant growth-promoting fungus. However, the impact of A. niger on root development is poorly characterized in previous studies. Here, we verified that the root development parameters, including total root length, root surface area, mean root diameter, and root volume, were significantly increased under stimulation with A. niger 129B (Figure 3). The reason for the root elongation treated with A. niger 129B may contribute to the downregulation of the SAUR32 gene in the auxin response (Figure 7). Moreover, the downregulation of the SAUR32 gene in the root system may explain how SAUR32 proteins act as inhibitors of PP2C72, thereby contributing to the root growth of the tomato plant induced by A. niger 129B inoculation.

To the best of our knowledge, the canonical TIR1/AFB-SAUR-PP2C.D auxin signaling pathway is crucial for root development (Ortiz-Castro et al., 2011). The root formation strongly suggested that these two families of proteins act antagonistically to control cell expansion. TIR1/AFB-dependent expression of SAUR proteins leads to the repression of PP2C.D phosphatase activity. This inhibition prevents plasma membrane H+-ATPase activation, regulating apoplastic pH changes to govern root cell expansion (Lin et al., 2021; Chen et al., 2024; Fu et al., 2024). Pseudomonas aeruginosa enhanced the degradation of Aux/IAA protein degradation and requires the auxin signaling cascade IAA-ARF; the compound BiAux accumulation in roots can bind to a specific TIR1 site to increase coreceptor formation between IAA and TIR1/AFB for root growth (Ortiz-Castro et al., 2011); Sinomonas gamaensis NEAU-HV1 could improve root development independently of the auxin receptor TIR1/AFB2 (Fu et al., 2024). Here, we identified that A. niger 129B stimulation can promote the interaction between SAUR32 and PP2C72. The regulatory effect of A. niger on SAUR32 expression may induce PP2C72 downregulation, thereby promoting root elongation. This novel regulatory mechanism may be attributed to the SAUR32 genes, which acquire cell-type-specific functions by engaging the PP2C72-H+-ATPase cellular machinery under A. niger 129B infection. The A. niger is functionally activated in the canonical TIR1/AFB-SAUR-PP2C.D auxin signaling pathway (Lin et al., 2021). Therefore, we hypothesize that A. niger probably migrates through the cell membrane and enters the nucleus to regulate the plant growth process. A similar growth hypothesis has been proposed for Sinomonas gamaensis NEAU-HV1, which mediates the IAA-ARF interaction to improve plant growth (Fu et al., 2024). Additionally, the regulatory modules of SAUR32-PP2C72 antagonism accelerate the efflux of H + , resulting in a decrease in the pH of acidification (Figure 11). These findings suggest that the A. niger-mediated noncanonical auxin signal systems, which regulate cell expansion and root growth, provide a comprehensive explanation for how auxin controls growth and developmental processes through intracellular auxin-signaling pathways. Therefore, the present findings suggest that the intracellular auxin-signaling pathways sustain PM H+-ATPase activation in cells where auxin-mediated cell expansion of the tomato root occurs, collectively explaining the acid growth theory of root growth induced by A. niger.

Conclusion

Our study clearly demonstrated that Aspergillus niger 129B can improve plant development and promote root elongation. The 129B-induced growth promotion is dependent on the interaction between SAUR32 and PP2C72; the expression of SAUR32 proteins, which act as inhibitors of PP2C72 phosphatases, triggers root H+ efflux, stimulating plant growth. To the best of our knowledge, the research is the first to explain how A. niger can specifically promote plant growth through the SAUR32-PP2C72 module.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.

Author contributions

JH: Writing – original draft. LG: Writing – review & editing. YL: Writing – review & editing. MC: Writing – review & editing. HW: Writing – review & editing. LY: Writing – review & editing. KZ: Writing – review & editing. YM: Writing – review & editing. YN: Writing – review & editing. WC: Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Major Scientific and Technological Project of Xinjiang Autonomous Region (2023A02009), the Central Fund for Guiding Local Science and Technology Development in Shanxi Province (YDZJSX20231A052), and the Key Research and Development Program of Shanxi Province (202302140601007-3).

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.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

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.

References

Ali, S., and Khan, N. (2021). Delineation of mechanistic approaches employed by plant growth promoting microorganisms for improving drought stress tolerance in plants. Microbiol. Res. 249:126771. doi: 10.1016/j.micres.2021.126771

PubMed Abstract | Crossref Full Text | Google Scholar

Alori, E. T., Glick, B. R., and Babalola, O. O. (2017). Microbial phosphorus solubilization and its potential for use in sustainable agriculture. Front. Microbiol. 8:971. doi: 10.3389/fmicb.2017.00971

PubMed Abstract | Crossref Full Text | Google Scholar

Anastasios, S., Nathalie, K., Georgios, T., Katerina, K., Urania, M., and George, S. K. (2022). Root transcriptional and metabolic dynamics induced by the plant growth promoting rhizobacterium (PGPR) Bacillus subtilis Mbi600 on cucumber plants. Plants 11:1218. doi: 10.3390/plants11091218

PubMed Abstract | Crossref Full Text | Google Scholar

Andres, B. C., Alzubaidy, H., Jalal, R., Mariappan, K. G., Zelicourt, A., Bokhari, A., et al. (2021). Coordinated bacterial and plant sulfur metabolism in Enterobacter sp. SA187-induced plant salt stress tolerance. Proc. Natl. Acad. Sci. U.S.A. 118:e2107417118. doi: 10.1073/pnas.2107417118

PubMed Abstract | Crossref Full Text | Google Scholar

Anwer, M. A., and Khan, M. R. (2013). Aspergillus niger as tomato fruit (Lycopersicum esculentum Mill.) quality enhancer and plant health promoter. J. Postharvest Technol. 1, 36–51. doi: 10.1016/jpt.2013.103651

Crossref Full Text | Google Scholar

Batista, B. D., Lacava, P. T., Ferrari, A., Teixeira-Silva, N. S., Bonatelli, M. L., Tsui, S., et al. (2018). Screening of tropically derived, multi-trait plant growth-promoting rhizobacteria and evaluation of corn and soybean colonization ability. Microbiol. Res. 206, 33–42. doi: 10.1016/j.micres.2017.09.007

PubMed Abstract | Crossref Full Text | Google Scholar

Bergelson, J., Brachi, B., Roux, F., and Vailleau, F. (2021). Assessing the potential to harness the microbiome through plant genetics. Curr. Opin. Biotechnol. 70, 167–173. doi: 10.1016/j.copbio.2021.05.007

PubMed Abstract | Crossref Full Text | Google Scholar

Bruto, M., Prigent, C. C., Muller, D., and Moenne, L. Y. (2014). Analysis of genes contributing to plant-beneficial functions in plant growth-promoting rhizobacteria and related Proteobacteria. Sci. Rep. 4:6261. doi: 10.1038/srep06261

PubMed Abstract | Crossref Full Text | Google Scholar

Canarini, A., Kaiser, C., Merchant, A., Richter, A., and Wanek, W. (2019). Root exudation of primary metabolites: mechanisms and their roles in plant responses to environmental stimuli. Front. Plant Sci. 10:157. doi: 10.3389/fpls.2019.00157

PubMed Abstract | Crossref Full Text | Google Scholar

Cao, M., Chen, R., Li, P., Yu, Y., Zheng, R., Ge, D., et al. (2019). TMK1-mediated auxin signalling regulates differential growth of the apical hook. Nature 568, 240–243. doi: 10.1038/s41586-019-1069-7

PubMed Abstract | Crossref Full Text | Google Scholar

Chen, Y., Fu, Y. S., Xia, Y. F., Yan, Q. Y., Shen, Q. R., and Zhang, R. F. (2024). Trichoderma-secreted anthranilic acid promotes lateral root development via auxin signaling and RBOHF-induced endodermal cell wall remodeling. Cell Rep. 43:114030. doi: 10.1016/j.celrep.2024.114030

PubMed Abstract | Crossref Full Text | Google Scholar

Chen, W. L., Ye, T., Sun, Q. Y., Niu, T. T., and Zhang, X. X. (2021). Arbuscular mycorrhizal fungus alters root system architecture in Camellia sinensis L. as revealed by RNA-seq analysis. Front. Plant Sci. 12:777357. doi: 10.3389/fpls.2021.777357

PubMed Abstract | Crossref Full Text | Google Scholar

Dufossé, L. (2006). Microbial production of food grade pigments. Food Technol. Biotechnol. 44, 313–323. doi: 10.1080/87559120600694622

Crossref Full Text | Google Scholar

El-Maraghy, S. S., Tohamy, T. A., and Hussein, K. A. (2020). Role of plant-growth promoting fungi (PGPF) in defensive genes expression of Triticum aestivum against wilt disease. Rhizosphere 15:100223. doi: 10.1016/j.rhisph.2020.100223

Crossref Full Text | Google Scholar

Finkel, O. M., Salas, G. I., Castrillo, G., Conway, J. M., Law, T. F., Teixeira, P., et al. (2020). A single bacterial genus maintains root growth in a complex microbiome. Nature 587, 103–108. doi: 10.1038/s41586-020-2778-7

PubMed Abstract | Crossref Full Text | Google Scholar

Fu, Y. S., Liu, Y. P., Chen, Y., Xuan, W., Shen, Q. R., and Zhang, R. F. (2025). A rhizobacterium-secreted protein induces lateral root development through the IAA34-PUCHI pathway. Cell Rep. 44:115414. doi: 10.1016/j.celrep.2025.115414

PubMed Abstract | Crossref Full Text | Google Scholar

Fu, Y. S., Wang, J. X., Su, Z. W., Chen, Q. Y., Li, J. X., Zhao, J. W., et al. (2024). Sinomonas gamaensis NEAU-HV1 remodels the IAA14-ARF7/19 interaction to promote plant growth. New Phytol. 245, 2016–2037. doi: 10.1111/nph.20370

PubMed Abstract | Crossref Full Text | Google Scholar

Galeano, R. M. S., Franco, D. G., Chaves, P. O., Giannesi, G. C., Masui, D. C., Ruller, R., et al. (2021). Plant growth promoting potential of endophytic Aspergillus niger 9-p isolated from native forage grass in Pantanal of Nhecolândia region, Brazil. Rhizosphere 18:100332. doi: 10.1016/j.rhisph.2021.100332

Crossref Full Text | Google Scholar

Gao, Y. J., Zhang, Z. H., Zeng, F. J., and Ma, X. Y. (2023). Root morphological and physiological traits are committed to the phosphorus acquisition of the desert plants in phosphorus-deficient soils. BMC Plant Biol. 23:188. doi: 10.1186/s12870-023-04178-y

PubMed Abstract | Crossref Full Text | Google Scholar

Gouda, S., Kerry, R. G., Das, G., Paramithiotis, S., Shin, H. S., and Patra, J. K. (2018). Revitalization of plant growth promoting rhizobacteria for sustainable development in agriculture. Microbiol. Res. 206, 131–140. doi: 10.1016/j.micres.2017.08.016

PubMed Abstract | Crossref Full Text | Google Scholar

Gu, S., Wei, Z., Shao, Z., Friman, V. P., and Joussetet, A. (2020). Competition for iron drives phytopathogen control by natural rhizosphere microbiomes. Nat. Microbiol. 5, 1002–1010. doi: 10.1038/s41564-020-0719-8

PubMed Abstract | Crossref Full Text | Google Scholar

Han, Q., Zhu, G., Qiu, H., Li, M., Zhang, J., Wu, X., et al. (2024). Quality traits drive the enrichment of Massilia in the rhizosphere to improve soybean oil content. Microbiome 12:224. doi: 10.1186/s40168-024-01933-7

PubMed Abstract | Crossref Full Text | Google Scholar

He, Y. J., Liu, Y., Li, M. Z., Anthony, T., Yang, D. D., Yu, X. L., et al. (2021). The Arabidopsis SMALL AUXIN UP RNA32 protein regulates ABA-mediated responses to drought stress. Front. Plant Sci. 12:625493. doi: 10.3389/fpls.2021.625493

PubMed Abstract | Crossref Full Text | Google Scholar

Ismail, L., Hamayun, M., Hussain, A., Khan, S. A., and Lee, I. J. (2019). Aspergillus flavus promoted the growth of soybean and sunflower seedlings at elevated temperature. Biomed. Res. Int. 2019:1295457. doi: 10.1155/2019/1295457

PubMed Abstract | Crossref Full Text | Google Scholar

Jia, C. H., Shi, Y. J., Hao, W. G., Zhang, Y. F., Luo, F., Lia, Z. B., et al. (2024). Genome-wide identification and expression analysis of SMALL AUXIN UP RNA (SAUR) genes in rice (Oryza sativa). Plant Signal. Behav. 19:e2391658. doi: 10.1080/15592324.2024.2391658

PubMed Abstract | Crossref Full Text | Google Scholar

Kour, D., Rana, K. L., Yadav, A. N., Yadav, N., Kumar, M., Kumar, V., et al. (2019). Microbial biofertilizers: bioresources and eco-friendly technologies for agricultural and environmental sustainability. Biocatal. Agric. Biotechnol. 23:101487. doi: 10.1016/j.bcab.2019.101487

PubMed Abstract | Crossref Full Text | Google Scholar

Kriaa, M., Hammami, I., Sahnoun, M., Azebou, M. C., Triki, M. A., and Kammoun, R. (2015). Biocontrol of tomato plant diseases caused by Fusarium solani using a new isolated Aspergillus tubingensis CTM 507 glucose oxidase. C. R. Biol. 338, 666–677. doi: 10.1016/j.crvi.2015.05.007

PubMed Abstract | Crossref Full Text | Google Scholar

Kudla, J., and Bock, R. (2016). Lighting the way to protein–protein interactions: recommendations on best practices for bimolecular fluorescence complementation analyses. Plant Cell 28, 1002–1008. doi: 10.1105/tpc.16.00043

PubMed Abstract | Crossref Full Text | Google Scholar

Li, Y., Shao, J., Xie, Y., Jia, L., Fu, Y., Xu, Z., et al. (2021). Volatile compounds from beneficial rhizobacteria Bacillus spp. promote periodic lateral root development in Arabidopsis. Plant Cell Environ. 44, 1663–1678. doi: 10.22541/au.160511054.47135095/v1

PubMed Abstract | Crossref Full Text | Google Scholar

Lin, W. W., Zhou, X., Tang, W. X., Takahashi, K., Pan, X., Dai, J., et al. (2021). TMK-based cell-surface auxin signalling activates cell-wall acidification. Nature 599, 278–282. doi: 10.1038/s41586-021-03976-4

PubMed Abstract | Crossref Full Text | Google Scholar

Liu, C., Bai, L., Cao, P., Li, S., Huang, S. X., Wang, J., et al. (2022). Novel plant growth regulator guvermectin from plant growth-promoting rhizobacteria boosts biomass and grain yield in rice. J. Agric. and Food Chem. 70, 16229–16240. doi: 10.1021/acs.jafc.2c07072

PubMed Abstract | Crossref Full Text | Google Scholar

Mohamed, S. A., Amer, M., Abdelaziz, A. A., Al-Askar, A. A., Arishi, A. M., Amr, H. H., et al. (2022). Plant growth-promoting Fungi as biocontrol tool against Fusarium wilt disease of tomato plant. J. Fungi 8:775. doi: 10.3390/jof8080775

PubMed Abstract | Crossref Full Text | Google Scholar

Ortiz-Castro, R., Díaz-Pérez, C., Martínez-Trujillo, M., del Río, R. E., Campos-García, J., and López-Bucio, J. (2011). Transkingdom signaling based on bacterial cyclodipeptides with auxin activity in plants. Proc. Natl. Acad. Sci. U.S.A. 108, 7253–7258. doi: 10.1073/pnas.1006740108

PubMed Abstract | Crossref Full Text | Google Scholar

Oyserman, B. O., Cordovez, V., Flores, S. S., Leite, M. F. A., and Raaijmakers, J. M. (2021). Extracting the GEMs: genotype, environment, and microbiome interactions shaping host phenotypes. Front. Microbiol. 11:574053. doi: 10.3389/fmicb.2020.574053

PubMed Abstract | Crossref Full Text | Google Scholar

Oyserman, B. O., Medema, M. H., and Raaijmakers, J. M. (2018). Road MAPs to engineer host microbiomes. Curr. Opin. Microbiol. 43, 46–54. doi: 10.1016/j.mib.2017.11.023

PubMed Abstract | Crossref Full Text | Google Scholar

Park, J. E., Kim, Y. S., Yoon, H. K., and Park, C. M. (2007). Functional characterization of a small auxin-up RNA gene in apical hook development in Arabidopsis. Plant Sci. 172, 150–157. doi: 10.1016/j.plantsci.2006.08.005

Crossref Full Text | Google Scholar

Sasse, J., Martinoia, E., and Northen, T. (2018). Feed your friends: do plant exudates shape the root microbiome? Trends Plant Sci. 23, 25–41. doi: 10.1016/j.tplants.2017.09.003

PubMed Abstract | Crossref Full Text | Google Scholar

Soumare, A., Diédhiou, A. G., Arora, N. K., Tawfeeq, A. L. K., Ngom, M., Fall, S., et al. (2021). Potential role and utilization of plant growth promoting microbes in plant tissue culture. Front. Microbiol. 12:649878. doi: 10.3389/fmicb.2021.649878

PubMed Abstract | Crossref Full Text | Google Scholar

Spartz, A. K., Ren, H., Park, M. Y., Grandt, K. N., Lee, S. H., Murphy, A. S., et al. (2014). SAUR inhibition of PP2C-D phosphatases activates plasma membrane H+-ATPases to promote cell expansion in Arabidopsis. Plant Cell 26, 2129–2142. doi: 10.1105/tpc.114.126037

PubMed Abstract | Crossref Full Text | Google Scholar

Tayeb, M., Yang, T., Wang, B. K., Yang, H. T., Diliaremu, T., Wang, J., et al. (2024). Comprehensive genomic characterization and expression analysis of calreticulin gene family in tomato. Front. Plant Sci. 15:1397765. doi: 10.3389/fpls.2024.1397765

PubMed Abstract | Crossref Full Text | Google Scholar

Tracanna, V., Ossowicki, A., Petrus, M. L. C., Overduin, S., and Medema, M. H. (2021). Dissecting disease-suppressive rhizosphere microbiomes by functional amplicon sequencing and 10× metagenomics. mSystems 6:e0111620. doi: 10.1128/mSystems.01116-20

PubMed Abstract | Crossref Full Text | Google Scholar

Truskina, J., Han, J., Chrysanthou, E., Galvan, C. S., Laine, S., Brunoud, G., et al. (2021). A network of transcriptional repressors modulates auxin responses. Nature 589, 116–119. doi: 10.1038/s41586-020-2940-2

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, Z. Y., Le, X. H., Cao, X. S., Wang, C. X., Chen, F. R., Wang, J., et al. (2022). Triiron tetrairon phosphate (Fe7(PO4)6) nanomaterials enhanced flavonoid accumulation in tomato fruits. Nanomaterials 12:1341. doi: 10.3390/nano12081341

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, H., Wang, W., Li, H., Zhang, P., Zhan, J., and Huang, W. (2011). Expression and tissue and subcellular localization of anthocyanidin synthase (ANS) in grapevine. Protoplasma 248, 267–279. doi: 10.1007/s00709-010-0160-6

PubMed Abstract | Crossref Full Text | Google Scholar

Wen, Z. L., Jia, M. N., and Fred, O. (2025). Beneficial mutualistic fungus Suillus luteus provided excellent buffering insurance in Scots pine defense responses under pathogen challenge at transcriptome level. BMC Plant Biol. 25:12. doi: 10.1186/s12870-024-06026-z

PubMed Abstract | Crossref Full Text | Google Scholar

Wu, D., Wu, Y., Gao, R., Zhang, Y., Zheng, R., Fang, M., et al. (2024). Integrated metabolomics and transcriptomics reveal the key role of flavonoids in the cold tolerance of Chrysanthemum. Int. J. Mol. Sci. 25:7589. doi: 10.3390/ijms25147589

PubMed Abstract | Crossref Full Text | Google Scholar

Wu, D., Zhuang, F., Wang, J., Gao, R., Zhang, Q., Wang, X., et al. (2023). Metabolomics and transcriptomics revealed a comprehensive understanding of the biochemical and genetic mechanisms underlying the color variations in chrysanthemums. Metabolites 13:742. doi: 10.3390/metabo13060742

PubMed Abstract | Crossref Full Text | Google Scholar

Xin, X. Y., Nan, M. N., Bi, Y., Xue, H. L., Zhang, Y., Wang, J. J., et al. (2023). Effects of Aspergillus niger Infection on the Quality of Jujube and Ochratoxin A Cumulative Effect. Toxin 15:406. doi: 10.3390/toxins15070406

Crossref Full Text | Google Scholar

Yang, Z. J., Qiao, Y. J., Konakalla, N. C., Strøbech, E., Harris, P., Peschel, G., et al. (2023). Streptomyces alleviate abiotic stress in plant by producing pteridic acids. Nat. Commu. 14:7398. doi: 10.1038/s41467-023-43177-3

Crossref Full Text | Google Scholar

Yin, Z., Abdelaziz, A. M., Kalaba, M. H., Radwan, A. A., and Hashem, A. H. (2015). Phosphate solubilization and promotion of maize growth by Penicillium oxalicum P4 and Aspergillus niger P85 in a calcareous soil. Can. J. Microbiol. 61, 913–923. doi: 10.1139/cjm-2015-0358

PubMed Abstract | Crossref Full Text | Google Scholar

Zhou, R. A., Feng, J. H., Zhang, Z. H., and Liu, Y. X. (2025). Identification of the SAUR members in woodland strawberry (Fragaria vesca) and detection of their expression profiles in response to auxin signals. Int. J. Mol. Sci. 26:3638. doi: 10.3390/ijms26083638

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: PGPF, A. niger , plant hormone signaling pathway, plant growth, tomato

Citation: He J, Gao LY, Luo YP, Chai M, Wang HF, Yang LH, Zhao K, Maimaiti Y, Nie YJ and Chen W (2025) Aspergillus Niger 129B promotes plant growth by inducing the interaction between SAUR32 and PP2C72. Front. Microbiol. 16:1637235. doi: 10.3389/fmicb.2025.1637235

Received: 29 May 2025; Accepted: 24 July 2025;
Published: 26 August 2025.

Edited by:

Ajay Kumar, Amity University, India

Reviewed by:

Laith Khalil Tawfeeq Al-Ani, Universiti Sains Malaysia, Malaysia
Angelica Rodriguez Dorantes, National Polytechnic Institute (IPN), Mexico
Yog Raj, Central Drug Research Institute (CSIR), India
Garima Gupta, Shri Ramswaroop Memorial University, India

Copyright © 2025 He, Gao, Luo, Chai, Wang, Yang, Zhao, Maimaiti, Nie and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yuan Jun Nie, eWpuaWVAc3hhdS5lZHUuY24=; Wei Chen, Y2hlbndlaWRlMjAwN0AxMjYuY29t

Disclaimer: 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.