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Transcriptomic analyses revealed the effect of Funneliformis mosseae on genes expression in Fusarium oxysporum

  • Xueqi Zhang ,

    Contributed equally to this work with: Xueqi Zhang, Li Bai

    Roles Writing – original draft

    ‡ These authors share first authorship on this work.

    Affiliation Heilongjiang Provincial Key Laboratory of Ecological Restoration and Resource Utilization for Cold Region, College of Life Sciences, Heilongjiang University, Harbin, China

  • Li Bai ,

    Contributed equally to this work with: Xueqi Zhang, Li Bai

    Roles Writing – review & editing

    ‡ These authors share first authorship on this work.

    Affiliations Heilongjiang Provincial Key Laboratory of Ecological Restoration and Resource Utilization for Cold Region, College of Life Sciences, Heilongjiang University, Harbin, China, Department of Food and Environmental Engineering, East University of Heilongjiang, Harbin, China

  • Na Guo,

    Roles Data curation

    Affiliations Heilongjiang Provincial Key Laboratory of Ecological Restoration and Resource Utilization for Cold Region, College of Life Sciences, Heilongjiang University, Harbin, China, Department of Food and Environmental Engineering, East University of Heilongjiang, Harbin, China

  • Baiyan Cai

    Roles Writing – original draft

    caibaiyan@126.com

    Affiliations Heilongjiang Provincial Key Laboratory of Ecological Restoration and Resource Utilization for Cold Region, College of Life Sciences, Heilongjiang University, Harbin, China, Department of Food and Environmental Engineering, East University of Heilongjiang, Harbin, China

Abstract

Soybean root rot is a typical soil-borne disease that severely affects the yield of soybean. Funneliformis mosseae is one of the arbuscular mycorrhizal fungi(AMF) dominant strains in soybean continuous cropping soil. The aim of this study was to providing an experimental basis for the study of the molecular mechanism underlying the alleviation of the obstacles associated with the continuous cropping of soybean by AMF. In this study, F. mosseae was inoculated in soil planted with soybean infected with Fusarium oxysporum. The results showed that the incidence of soybean root rot was significantly reduced after inoculation with F. mosseae. In F. mosseae-treated samples, the significantly upregulated genes encoded transmembrane protein in fungal cell membrane. The significantly downregulated genes encoded some proteins, which took part in composition of essential component of fungal cell wall; hydrolyse cellulose and hemicellulose. The DEGs in each treatment were enriched in antigen processing and presentation, carbon fixation in photosynthetic organisms, glycolysis/gluconeogenesis, the MAPK signalling pathway, protein processing in the endoplasmic reticulum and RNA degradation. Inoculation with F. mosseae could in a variety of ways to promote the growth, development of soybean and improve disease resistance. Such as help fungal build barriers to the disease resistance of host plant and enhance their pathogenicity; damaging the structure of the pathogen; protect plant tissues and so on. This study provides an experimental basis for further research on the molecular mechanism underlying the alleviation of challenges associated with the continuous cropping of soybean by AMF.

Introduction

Fusarium root rot of soybean is a kind of soil fungal disease that is widely distributed, harmful and difficult to control. This disease occurs all over the world [1]. The annual decline of soybean yield caused by root rot can reach an average of 1–30% and up to nearly 50% [2, 3]. Crop root rot caused by Fusarium oxysporum is a typical destructive soil-borne disease [4]. This pathogen has many specialized types and a wide host range, causing more than a 100 diseases in different plants, such as melons, solanaceae, legumes and flowers [5]. This pathogen infects plant roots, causing vascular diseases. F. oxysporum exhibits strong virulence and high infection and mortality rates. At the onset of infection, the root begins to exhibit discolouration from the apex; the lower part of the main root first exhibits brown spots, which gradually expand, and the epidermis and cortex become black and rotten. In severe cases, the lower part of the main root rots, the leaves gradually turn yellow from bottom to top, the plant size deceases and the number of pods decreases [6, 7]. F. oxysporum poisons the root systems of host plants by secreting fusarin and cell wall degrading enzymes [8]. Currently, there is no specific method to prevent and control F. oxysporum infection in agricultural production, and there has been little research on the pathogenesis of F. oxysporum.

Funneliformis mosseae, as a dominant strain of arbuscular mycorrhizal fungi (AMF), exists in the rhizosphere and plant tissues and plays a key role in plant evolution and nutrition as an obligate symbiont [9]. Studies have shown that AMF can improve plant stress resistance, such as saline-alkali resistance, heavy-metal resistance, drought resistance [10, 11], and disease resistance (resistance to root rot, Verticillium wilt, blight, etc.) [1215]. Guo et al. found that after inoculation with F. mosseae, the symbiotic mycorrhizal network formed between F. mosseae and donor plants increased the activities of phenylalanine ammonialyase, polyphenol oxidase, and peroxidase in tobacco plants [16]. However, there are few reports on the mechanism by which F. mosseae inhibits the pathogenicity of F. oxysporum, the main pathogen associated with root rot.

In this study, F. mosseae, the dominant strain of AMF in continuous cropping of soybean, was inoculated into the soil of soybean plants infected with F. oxysporum. Illumina HiSeqTM sequencing was used to investigate the differences in gene transcription in F. oxysporum at the transcriptome level after inoculation with F. mosseae, thus providing an experimental basis for the study of the molecular mechanism underlying the alleviation of the obstacles associated with the continuous cropping of soybean by AMF.

Results

Incidence of root rot

After inoculated with F. mosseae, the incidence of root rot were observed. The appearance of root rot is shown in Fig 1. In Fig 1A, the root system of plant inoculated with F. oxysporum (F) showed blackening, while this phenomenon was less obvious in the roots of AF. The lesion at the inoculation area (Fig 1B) was large. As shown in Fig 2, the incidence of root rot disease became increasingly severe with the growth and development of soybean. Compared with AF, the incidence of root disease in soybean group F increased significantly. AF and F showed the same trend at the initial stage. With the growth of soybean, the incidence of AF gradually slowed down and eventually approached the level of the control group (CK). The highest incidence in group F was almost 90%. The root rot in soybean inoculated with F. mosseae was significantly reduced, indicating that F. mosseae could significantly alleviate the incidence of soybean root rot.

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Fig 1. Soybean root rot.

(A) The root system of plant inoculated with F. oxysporum shows roots of the group that was only inoculated with the pathogenic fungus F. oxysporum (left, F) and simultaneous inoculation of F. mosseae and the pathogenic fungus F. oxysporum (right, AF). (B) Prominent in the red frame is the disease spot of root system inoculated with F. oxysporum.

https://doi.org/10.1371/journal.pone.0234448.g001

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Fig 2. Root rot incidence.

CK, control group; AF, soybean planted in continuously cropped soil inoculated at 44 d after sowing and evenly mixed with F. mosseae; F, soybean planted in continuously cropped soil inoculated with F. oxysporum at 44 d after sowing. The numbers 44, 51, 58, 65, 72 and 79 represent the days after sowing. The x-axis means different stages. The y-axis represents the soybean root rot incidence.

https://doi.org/10.1371/journal.pone.0234448.g002

Soybean growth indexes

After soybean ripening, soybean grains were randomly picked for determination of 100-grain weight, crude fat content and protein content, as shown in Fig 3. Root rot caused by F. oxysporum affected the fat, protein content and the 100-grain weight of soybean severely. However, inoculation with F. mosseae could significantly alleviate the growth depression caused by root rot and promote plant nutrition and yield.

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Fig 3. Soybean growth indexes.

The x-axis means different treatment groups, CK, control group; AF, soybean planted in continuously cropped soil inoculated at 44 d after sowing and evenly mixed with F. mosseae; F, soybean planted in continuously cropped soil inoculated with F. oxysporum at 44 d after sowing. (A) The y-axis means soybean fat content. (B) The y-axis means soybean protein content. (C) The y-axis means soybean 100-grain weight.

https://doi.org/10.1371/journal.pone.0234448.g003

The correlation coefficients between the incidence of root rot and soybean quality indicators are shown in Table 1, which shows that the incidence of soybean root rot is negatively correlated with various quality indicators (P < 0.01), and the increase in disease incidence has the most serious impact on the soybean fat content, which decreases upon infection. In addition, the protein content and fat content of soybean were positively correlated with the 100-grain weight (P < 0.01), and the fat content had a strong impact on the 100-grain weight of soybean.

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Table 1. Coefficients of correlation between the incidence of root rot and protein content, 100-grain weight and fat content.

https://doi.org/10.1371/journal.pone.0234448.t001

Transcriptomic analysis of F. oxysporum in soybean roots

Gene expression analysis.

The high-quality clean reads obtained were compared with known genomes. Finally, 8398, 5265 and 5110 genes were detected in the CK, AF and F. The number of genes detected in each group is shown in Table 2.

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Table 2. Number of genes detected in each treatment group.

https://doi.org/10.1371/journal.pone.0234448.t002

The comparisons of gene expression levels between groups are shown in the box plot in Fig 4. The y-axis represents gene expression levels, and each box represents a sample group. The black line in the middle of the box represents the median, and the upper and lower sides of the box are quartiles. Based on the box plot, the number of genes detected in each treatment group was different.

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Fig 4. Box plot for comparing gene expression levels between groups.

The vertical coordinate in the figure is the gene expression quantity, and each box represents a sample group. The line in the middle of the box represents the median, and the upper and lower sides of the box are the upper and lower quartiles respectively.

https://doi.org/10.1371/journal.pone.0234448.g004

Sample relationship.

Principal component analysis (PCA) was used to determine the effect of inoculation with F. oxysporum on soybean and the effect of F. mosseae on F. oxysporum in susceptible soybean roots (Fig 5). PC1 accounted for 58.9% of the total variance of all variables (expression levels of all the genes). PC1 and PC2 accounted for 73.7% of the total variance. Fig 5 shows that in this processing range, the single pathogen has a strong impact on gene expression in the samples. After inoculation with F. mosseae, the gene expression levels of soybean in the AF group were slightly different from those in the CK group, which indicated that F. mosseae could inhibit the pathogenicity of F. oxysporum.

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Fig 5. PCA.

According to the value of each sample in the first principal component (PC1) and the second principal component (PC2), two-dimensional coordinate map is made. The values in brackets on the axis labels represent the percentage of the variance of the population explained by the principal component. PC1 can explain 55% of the total variance of all variables (expression of all genes), PC1 and PC2 can explain 91.7% of the total variance.

https://doi.org/10.1371/journal.pone.0234448.g005

Analysis of Differentially Expressed Genes (DEGs) of F. oxysporum.

The difference in gene expression among the three treatment groups was analysed by edgeR software. In F-vs.-AF, the number of upregulated was 56 and downregulated genes is 35. Hierarchical clustering of the relationships between samples and genes was carried out based on gene expression. The clustering results are presented using a heatmap, as shown in Fig 6, where red indicates high expression levels, and blue indicates low expression levels.

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Fig 6. Clustering of differential expression patterns between groups.

Based on the amount of gene expression, the hierarchical clustering of the relationship between samples and genes is carried out, and the results of clustering are presented by using heat map. Take 2 as the base to calculate the logarithm value of gene expression of each sample, and carry out hierarchical cluster analysis for different samples and genes. Each column in the figure represents a sample, each row represents a gene, and the expression amount of gene in different samples is expressed in different colors. The redder the color, the higher the expression, and the bluer the color, the lower the expression.

https://doi.org/10.1371/journal.pone.0234448.g006

As shown in Fig 6, after inoculation with F. mosseae, the significantly upregulated genes were ABC transporter, ATP-binding/permease protein-encoding genes and ABC transporter, ATP-binding protein-encoding genes. Significantly downregulated genes were chitin-binding domain protein-encoding genes, genes encoding key enzymes involved in metabolic pathways such as glycolysis, including class II fructose-bisphosphate aldolase and NAD-dependent glyceraldehyde-3-phosphate dehydrogenase, glycoside hydrolase family 61 protein, which are involved in the hydrolysis of cellulose and hemicellulose, and genes encoding actin and other major components of the cytoskeleton. Chitin-binding domain proteins are a class of chitin-specific binding proteins that usually contain one or more chitin-binding domains [17]. These proteins can participate in the recognition or binding of chitin and chitin subunits and may play a special role in the interactions between plants and pathogens.

Gene Ontology (GO) analysis.

GO was used to classify DEGs after inoculation with F. mosseae. Biological process, molecular function and cellular component terms were annotated and classified. The enrichment results are shown in Fig 7.

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Fig 7. GO enrichment analysis of DEGs.

DEGs in each group were sorted into three categories. Green bars indicate downregulated genes, and red bars indicate upregulated genes. The x-axis indicates different GO terms. The y-axis represents the number of genes in the indicated categories. (A) CK-vs.-F comparison; (B) F-vs.-AF comparison.

https://doi.org/10.1371/journal.pone.0234448.g007

F. oxysporum treatment group compared with CK are defined as CK -vs.- F, the enrichment result is shown in Fig 7A. DEGs were enriched in 8 GO terms (S1 Table). In the biological process group, most of the DEGs are involved in metabolic processes (14 upregulated genes, 3 downregulated genes), cellular processes (8 upregulated genes, 3 downregulated genes) and the single-organism processes (8 upregulated genes, 3 downregulated genes). In the molecular function group, most of the DEGs are involved in catalytic activity (15 upregulated genes, 4 downregulated genes) and binding (8 upregulated genes). F. mosseae treatment group compared with F are defined as F -vs.- AF, the enrichment result is shown in Fig 7B. DEGs were also enriched in 8 GO terms (S2 Table). In the biological process group, most of the DEGs are involved in metabolic processes (1 upregulated genes, 9 downregulated genes) and cellular processes (1 upregulated genes, 5 downregulated genes). In the molecular function group, most of the DEGs are involved in catalytic activity (2 upregulated genes, 8 downregulated genes) and binding (0 upregulated genes, 5 downregulated genes).

Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis.

In the CK -vs.- F group, after inoculation with F. oxysporum, the top 20 pathways were enriched (S3 Table). Fig 8A shows that many DEGs related to biochemical metabolism participate in carbon metabolism(12 DEGs), the pentose phosphate pathway(5 DEGs), glycolysis/gluconeogenesis(6 DEGs), microbial metabolism in diverse environments(12 DEGs), fructose and mannose metabolism(3 DEGs). Most of the DEGs related to biosynthesis are involved in the biosynthesis of amino acids, biosynthesis of secondary metabolites, and biosynthesis of antibiotics. Some genes are involved in signal transduction pathways, such as the oestrogen signalling pathway and NOD-like receptor signalling pathway. Some DEGs related to susceptibility and autoimmunity are involved in plant-pathogen interactions, antigen processing and presentation.

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Fig 8. Intergroup KEGG enrichment bubble map.

The Q value of the red bubble diameter is lower than that of the green bubble diameter. The bubble size is proportional to gene number. The x-axis shows the top 20 pathways in which the differentially genes expressed, and the y-axis represents rich factor. (A) CK-vs.-F comparison; (B) F-vs.-AF comparison.

https://doi.org/10.1371/journal.pone.0234448.g008

In the F -vs.- AF group, the top 20 pathways were significantly enriched after inoculation with F. mosseae, as shown in Fig 8B. The three most genes enriched pathways are Metabolic pathways (12 DEGs), Biosynthesis of secondary metabolites (9 DEGs) and Biosynthesis of antibiotics (8 DEGs). Some of the same pathways that were enriched by DEGs in the CK -vs.- F group, such as 4 DEGs in antigen processing and presentation, 3 DEGs involved in carbon fixation in photosynthetic organisms, and 5 DEGs involved in the glycolysis/gluconeogenesis. 2 DEGs are involved in the MAPK signalling pathway, which is related to fungal virulence (S4 Table). There also many DEGs were enriched in other pathways, such as endoplasmic reticulum and RNA degradation after inoculation with F. mosseae.

Discussion

F. oxysporum is the main pathogen of soybean root rot. Previous studies have confirmed that the arbuscular mycorrhizal fungus F. mosseae can alleviate soybean root rot. Liu et al. found that F. mosseae could colonize and associate with the roots of Amorpha fruticosa and induce the expression of various genes during the symbiosis process [18]. Jie et al. found that the level of F. oxysporum DNA in the roots and rhizospheric soil samples of soybean plants inoculated with F. mosseae decreased significantly [19]. Through statistical observation of incidence and growth, it was found that F. mosseae could promote the growth and development of soybean. Under the same condition of root rot infection, F. mosseae could alleviate the plant yield reduction and increase the shoot biomass of soybean. Moreover, the fat and protein content of the treatment group inoculated with F. mosseae was significantly higher than that in F group when soybean riped. This result is consistent with previous research results from our laboratory and the results of Li et al. [20].

Researches of Wei et al. has confirmed that ABC transporter is an important channel for pathogenic fungi to excrete fungicides and a variety of exogenous toxic substances, as well as an energy center to transport nutrients and preserve the vitality of fungal [21]. In F. mosseae-treated samples, the significantly upregulated genes encoded ABC transporter, ATP-binding/permease protein and the ABC transporter, ATP-binding protein. Plant cell wall is the first barrier to F. oxysporum infection. Cellulose and pectin are the main components of the plant cell wall. Cellulose is a macromolecular polysaccharide composed of β-1,4-glycoside bonds or β-1,3-glycoside bonds. F. oxysporum can secrete three cell wall-degrading enzymes, namely, pectinase, cellulase and β-glucosidase, to degrade the cell walls of plants. When the cell wall is degraded, pectin blocks the vessels of host plants, prevents the host plants from absorbing water and causes plant wilting, leading to plant death [22]. In addition to these three cell wall-degrading enzymes, F. oxysporum also harbours genes encoding endo-polygalacturonase, exogenous galacturonase, pectic acid endolysase and xylanase. Jonkers et al. found that knocking out any of the genes encoding such proteins by gene knockout technology would lead to apical spore formation, leading to complete or partial loss of the pathogenicity of Fusarium towards the host [23]. Actin aggregates to form pseudopods and filaments, increasing the adhesion of F. oxysporum cells to host soybeans for colonization. In this experiment, the actin gene of the AF group was downregulated after inoculation with F. mosseae, indicating that F. mosseae played a role in weakening the colonization by pathogenic bacteria of the host soybean. Chitin is ubiquitous in the cell walls of fungi and is mainly used to support the skeleton and protect the body. The downregulation of the chitin-binding domain protein-encoding gene in the AF group indicated that F. mosseae could alleviate root rot disease by destroying the cell wall of the pathogenic fungus.

KEGG analysis showed that the main enriched metabolic pathways include the MAPK signalling pathway, which plays a key role in regulating genes encoding chitin, peroxidase, beauvericin and fusaric acid. HSP70, the gene encoding MAPK, was significantly upregulated in group F, suggesting that F. oxysporum needed to activate the MAPK signalling pathway in vivo to induce the expression of virulence-related genes and increase toxin levels or enhance its tolerance to host immunity to infect soybean [24]. Antigen processing and presentation pathways have been shown to be associated with immune responses, transport, pathogenesis, secretion and phagocytosis. Heat shock 70 kDa protein (HSP70) is involved in antigen processing, and the presentation pathway is a highly conserved polypeptide that can be repaired by degenerative proteins to aid the physiological folding and stretching of newly synthesized polypeptide bonds, correct the misfolding of polypeptide chains, restore the functions and structures of cells, act as a ‘molecular chaperone’, support immune processes, and participate in apoptosis [25]. Another protein involved in the antigen processing and presentation pathway, molecular chaperone HtpG (HSP90), acts as a protein chaperone. Hsp90 exhibits diverse functions, such as helping other proteins fold correctly, maintaining the stability of these proteins under cellular stress, and helping degrade damaged or misfolded proteins in cells. These functions make Hsp90 a key control molecule in the maintenance of protein homeostasis in cells [26]. At the same time, Hsp70 and Hsp90 also participate in the oestrogen signalling pathway, and in the CK -vs.- F group, the genes involved in the synthesis of these two proteins showed an upward trend, while most of the genes in the F -vs.- AF group showed a downward trend. In addition, the MAPK signalling pathway plays an important role in regulating extracellular signal transduction, growth and differentiation in fungi [27], and the effect of MAPK on virulence has been reported in previous studies of fungal diseases [28]. The HSP70 gene involved in this pathway is upregulated in the CK -vs.- F group. Some genes in the F -vs.- AF group showed a downward trend. Inoculation with F. mosseae could in a variety of ways to promote the growth, development of soybean and improve disease resistance. Such as regulating plant hormones, damaging the structure of the pathogen, protect plant tissues and so on. Providing an experimental basis for applying AMF to reduce the incidence of soybean root rot in continuous cropping systems.

Materials and methods

Materials

‘HN48’ is a high-protein soybean variety. The fat content was 19.5%, and the protein content was 45.3%. The Soxhlet extraction method was used to determine the fat content, and the Kjeldahl method was used to determine the protein content [29]. The experiment was carried out at the experimental station of the Research Institute of Sugar Industry, Harbin Institute of Technology. Sterilized soil from continuous cropping of soybean was selected for the pot experiment. F. oxysporum was provided by the Key Laboratory of Microbiology, Heilongjiang University. F. mosseae was screened by our research group and stored at the Wuhan Institute of Microbiology, China. The preservation number was CGMCC no. 3013.

Sample treatment, root rot incidence and soybean quality determination

The experiment was carried out in pots, every pot is plastic bucket and measures 50×50×60 cm. Soybean seeds were wiped with alcohol, disinfected with 5% sodium hypochlorite, washed with sterile water and sown in sterilized soil from continuous cropping of soybean. Three treatments were set up: control group (CK); soybean planted in continuously cropped soil, and inoculated with F. oxysporum spore suspension (the concentration of spores was 1×107 CFU/mL) at 44 d after sowing [30] (F) (F. oxysporum was activated by PDA medium) [31]; and soybean planted in continuously cropped soil inoculated at 44 d after sowing and evenly mixed with F. mosseae (AF). Samples were obtained every 7 days after F. oxysporum inoculation, and the incidence of root disease was counted [32]. During the period of high incidence of root rot (79 d), soybean roots were taken from each treatment and subjected to transcriptomic analysis. After maturation, the 100-grain weight, crude fat content and protein content were measured for each treated grain. Each treatment had three duplicates. The correlation analysis between the incidence of root rot and soybean quality indicators were carried out using SPSS 23.0.

Transcriptomic analysis of F. oxysporum in soybean roots

Total RNA was extracted from the samples and amplified by PCR. The whole library was prepared. The constructed library was subjected to Illumina HiSeqTM sequencing. The obtained data were filtered as follows: 1) reads containing adapters were removed; 2) reads containing more than 10% unknown nucleotides (N) were removed; and 3) low-quality reads containing more than 50% low-quality (Q-value≤20) bases were removed. High-quality clean data were thus obtained. The expression levels of the identified genes were determined using RSEM software [33], and box plots comparing the gene expression levels between groups were generated. Principal component analysis (PCA) was performed with the R package gmodels (http://www.r-project.org/). To identify DEGs across samples or groups, the edgeR package (http://www.r-project.org/) was used. We identified genes with a fold change ≥2 and a false discovery rate (FDR) <0.05 in a comparison as significant DEGs. DEGs identified were functionally annotated and classified based on the Gene Ontology (GO) database (http://www.geneontology.org/) and Kyoto Encyclopedia of Genes and Genomes (KEGG) database (http://www.genome.jp/kegg/pathway.html).

Data analysis

Data were analysed by analysis of variance (ANOVA), followed by Tukey’s HSD test, to determine the significance of differences between treatments. Hierarchical clustering analysis using Pearson correlation and principal component analysis were carried out using SPSS 23.0.

Conclusion

Root rot is a soil-borne fungal disease caused by F. oxysporum that greatly reduces soybean yield. Most of the studies to date have been limited to the pathogen F. oxysporum alone. F. mosseae, as one of the AMF dominant strains in soybean continuous cropping soil, plays an important role in improving plant disease resistance. In this study, transcriptomic sequencing technology was used, and the following conclusions were obtained from transcriptomic data analysis. In the F -vs.- AF group, 56 genes were upregulated, and 35 genes were downregulated. The significantly upregulated genes encoded those proteins, which can help fungal build barriers to the disease resistance of host plant and enhance their pathogenicity. For example, ABC transporter and ATP-binding protein. The significantly downregulated genes encoded some proteins, which took part in composition of essential component of fungal cell wall; hydrolyse cellulose and hemicellulose. In conclusion, inoculation with F. mosseae promotes changes in gene transcription in F. oxysporum. The incidence of soybean root rot was significantly reduced, and the quality of soybean was significantly improved after inoculation with F. mosseae. Therefore, F. mosseae can enhance disease resistance and promote plant growth and development.

Supporting information

S1 Table. GO analysis of DEGs in the CK-vs.-F comparison.

https://doi.org/10.1371/journal.pone.0234448.s001

(XLS)

S2 Table. GO analysis of DEGs in the F-vs.-AF comparison.

https://doi.org/10.1371/journal.pone.0234448.s002

(XLS)

S3 Table. KO analysis of DEPs the CK-vs.-F comparison.

https://doi.org/10.1371/journal.pone.0234448.s003

(XLS)

S4 Table. KO analysis of DEPs the F-vs.-AF comparison.

https://doi.org/10.1371/journal.pone.0234448.s004

(XLS)

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