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Interactional mechanisms of Paenibacillus polymyxa SC2 and pepper (Capsicum annuum L.) suggested by transcriptomics

Abstract

Background

Paenibacillus polymyxa SC2, a bacterium isolated from the rhizosphere soil of pepper (Capsicum annuum L.), promotes growth and biocontrol of pepper. However, the mechanisms of interaction between P. polymyxa SC2 and pepper have not yet been elucidated. This study aimed to investigate the interactional relationship of P. polymyxa SC2 and pepper using transcriptomics.

Results

P. polymyxa SC2 promotes growth of pepper stems and leaves in pot experiments in the greenhouse. Under interaction conditions, peppers stimulate the expression of genes related to quorum sensing, chemotaxis, and biofilm formation in P. polymyxa SC2. Peppers induced the expression of polymyxin and fusaricidin biosynthesis genes in P. polymyxa SC2, and these genes were up-regulated 2.93- to 6.13-fold and 2.77- to 7.88-fold, respectively. Under the stimulation of medium which has been used to culture pepper, the bacteriostatic diameter of P. polymyxa SC2 against Xanthomonas citri increased significantly. Concurrently, under the stimulation of P. polymyxa SC2, expression of transcription factor genes WRKY2 and WRKY40 in pepper was up-regulated 1.17-fold and 3.5-fold, respectively.

Conclusions

Through the interaction with pepper, the ability of P. polymyxa SC2 to inhibit pathogens was enhanced. P. polymyxa SC2 also induces systemic resistance in pepper by stimulating expression of corresponding transcription regulators. Furthermore, pepper has effects on chemotaxis and biofilm formation of P. polymyxa SC2. This study provides a basis for studying interactional mechanisms of P. polymyxa SC2 and pepper.

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Background

Plant growth-promoting rhizobacteria (PGPR) inhabit the rhizosphere soil and can effectively promote plant growth through a variety of direct and indirect mechanisms [1]. PGPR directly promote plant growth by solubilizing insoluble phosphate [2, 3], fixing nitrogen [4], producing plant hormone [5], secreting 1-aminocyclopropane-1-carboxylate (ACC) deaminase [6], producing siderophores [7], and so on. Furthermore, PGPR demonstrate antagonistic activities against pathogenic microorganisms by secreting secondary metabolites such as polymyxin [8], surfactin [9], and fengycin [9]. PGPR also indirectly promote plant growth by inducing plant systemic resistance to resist invasion by external pathogens [10, 11].

Paenibacillus polymyxa, an important member of the PGPR, is widely distributed in the rhizosphere soil of wheat, maize [12], pepper [13], sorghum [14], pine forest [15], etc., and directly or indirectly improves the growth of numerous plants. P. polymyxa WR-2 suppressed growth of Fusarium oxysporum f. sp. Niveum by producing volatile organic compounds [16]. P. polymyxa CR1 enhanced growth of maize, potato, cucumber, Arabidopsis, and tomato plants through direct mechanisms such as phosphate solubilization and production of indole-3-acetic acid (IAA) [17]. P. polymyxa BFKC01 promoted growth of Arabidopsis by secreting IAA and promoting iron acquisition [18]. P. polymyxa P2b-2R, an endophytic diazotroph of pine, might facilitate regeneration and growth of western red cedar at nitrogen-poor sites [19]. P. polymyxa B2 promoted growth of winter wheat by increasing the available phosphorus in the soil [20]. P. polymyxa CF05 promoted growth of tomato seedlings in the greenhouse [21], and P. polymyxa SC2 was reported as a plant growth-promoting rhizobacterium isolated from the rhizosphere soil of pepper in Guizhou, China [13]. P. polymyxa SC2 has a wide antimicrobial spectrum and antagonistic effects on various plant pathogens [22], including Fusarium vasinfectum Atk., F. oxysporum f. sp. cucumerinum, Pseudoperonospora cubensis, Botrytis cinerea Pers, and Botrytis cinerea. P. polymyxa SC2 could promote pepper growth, but the molecular mechanisms underlying the interaction between P. polymyxa SC2 and pepper remain unclear.

The development of omics technologies has led to interest in the interaction between PGPR and plants. A metabolomics study showed that Pseudomonas fluorescens induced root formation in Sedum alfredii by increasing the concentration of IAA and reducing the contents of abscisic acid, brassinolide, trans zeatin, ethylene, and jasmonic acid [23]. Transcriptome analysis of Arabidopsis thaliana revealed that aluminum-activated malate transporter (ALMT1) plays an important role in Bacillus subtilis FB17 colonization [24]. In response to rice seedlings, 43 genes related to metabolism or transport of carbohydrates or amino acids were significantly expressed in B. subtilis OKB105 [25]. Singh et al. reported that Enterobacter cloacae SBP-8 increased the tolerance of wheat to salinity stress through regulation of transcription factors, proteins of the Ninja family, and other defense-related enzymes and proteins [26]. These studies demonstrate that by using omics technologies some progress has been made in elucidating the interactions between Bacillus, Enterobacter, Pseudomonas, and plants. However, studies on the interaction between P. polymyxa and plants are limited. Kwon et al. reported that P. polymyxa E681 increased the concentrations of tryptophan, indole-3-acetonitrile (IAN), IAA, and camalexin in the treated plants, and also activated defense-related proteins against fungal pathogens in plants [27]. Our group previously found that P. polymyxa YC0136 promoted the growth of tobacco (Nicotiana tabacum L.) by inducing hormone-related genes and systemic resistance genes in tobacco [28]. The present study aimed to understand the molecular mechanisms involved in the interaction between P. polymyxa SC2 and pepper by conducting transcriptomic sequencing of co-cultured P. polymyxa SC2-pepper samples.

Results

Growth promotion characteristics of P. polymyxa SC2 on peppers

To identify growth promotion characteristics of P. polymyxa SC2 on pepper, pot experiments in healthy soil and continuous cropping soil were performed in the greenhouse. In healthy soil, there were distinct differences in pepper growth between the P. polymyxa SC2-treated group and the control group. At 30- and 40-days post-inoculation (dpi), stem diameters of peppers inoculated with P. polymyxa SC2 were significantly thicker than those of the control group, with increases of 5.26 and 5.7%, respectively (P < 0.05; Fig. 1a). At 50 dpi, there was an extremely significant difference (P < 0.01) in the stem diameter of peppers, with a 6.52% increase in the P. polymyxa SC2-treated group compared with the control group. The growth status of pepper treated with P. polymyxa SC2 in healthy soil at 40 dpi was shown in Fig. 1b. At 40 dpi, the indices of pepper leaves were evaluated (Table 1). The width and length of leaves in the P. polymyxa SC2-treated group were 6.1 and 4.51% larger, respectively, than those of the control group. There was a significant difference (P < 0.05) in chlorophyll content between the two treatment groups. Chlorophyll content in the P. polymyxa SC2-treated group increased by 14% compared with the control group. These results indicated that P. polymyxa SC2 promoted the growth of pepper in healthy soil.

Fig. 1
figure 1

Interaction effects of P. polymyxa SC2 on pepper seedlings. In pot experiments, a pepper seedling was irrigated with 5 mL P. polymyxa SC2 cells (1 × 108 CFU/mL) and diluted with water to 200 mL. Control plant was irrigated with 5 mL sterilized LB medium diluted with water to 200 mL. At 30, 40, and 50 dpi, stem diameters (diameter at the ground base) were investigated. Panel (a) shows pepper stem diameters in healthy (H) soil and continuous cropping (C) soil. Values indicate means ± SD (n = 9; * P < 0.05, ** P < 0.01, Student’s t-test). Panel (b) is a representative image of the status of pepper in healthy soil at 40 dpi.

Table 1 Indices of pepper leaves in healthy soil at 40 dpi

In the continuous cropping soil, P. polymyxa SC2 also promoted the growth of pepper, as evidenced by increases in the diameters of pepper stems at different harvest intervals (Fig. 1a). At 30 dpi, stem diameters in the P. polymyxa SC2-treated group were 6.4% thicker than the control group (P < 0.01), and at 40 and 50 dpi, the differences in pepper stem diameters between the two treatment groups were significant at the level of P < 0.05.

Transcriptome analysis of co-cultured P. polymyxa SC2 and pepper

To study the molecular mechanisms involved in the interaction of P. polymyxa SC2 and pepper, RNA-seq of P. polymyxa SC2 and pepper co-cultured under a sterile environment was performed. After sequencing, about 156,499,912 and 158,836,654 raw reads were obtained in the pepper control group (marked as P) and pepper treated group (marked as PH) respectively. And about 72,827,434 and 92,447,218 raw reads were generated in the strain SC2 control group (labeled as S) and strain SC2 treated group (labeled as SH). For P. polymyxa SC2 and pepper, 151,205,362 and 308,431,888 high-quality sequences were generated, respectively. Mapping of the transcriptome sequences with the whole-genome sequence of P. polymyxa SC2 indicated that the mapped percentage of each sample was more than 90% (the mapping proportion statistics was shown in Additional File 1: Table S1). In P. polymyxa SC2, 5014 genes mapped with the reference genome. The percentage of mapped genes in each pepper sample was higher than 85% (the mapping proportion statistics were shown in Additional File 1: Table S2). We also carried PCA analysis, and the results were shown in Additional File 2: Fig. S1. All results met the requirements for subsequent analyses.

Differentially expressed genes (DEGs) of P. polymyxa SC2 were detected based on the criterion of p-value< 0.05 and |log2FC| > 2, while DEGs of pepper were detected according to p-value< 0.05 and |log2FC| > 4. Genes with significantly up-regulated and down-regulated expression are shown in Fig. 2. In P. polymyxa SC2, there were 812 DEGs, of which 465 were up-regulated and 347 were down-regulated (Fig. 2a). Annotation information for these DEGs is displayed in Additional File 3: Table S3. The most significantly up-regulated genes of P. polymyxa SC2 were involved in polymyxin biosynthesis, fusaricidin biosynthesis, phosphatase/MFS transporter, acetolactate synthase, and 3-hydroxydecanoyl dehydratase, etc. The down-regulated significant genes were related to D-ribose transport subunit RbsB, Ribose ABC transporter, membrane protein, oxidoreductase and stress protein, etc. In pepper (Capsicum annuum L.), there were 758 DEGs, of which 573 were up-regulated and 185 were down-regulated (Fig. 2b). Annotation information for the DEGs in pepper is displayed in Additional File 4: Table S4. The most significantly up-regulated genes in pepper were involved in laccase, transcription regulator, protease inhibitors, proline dehydrogenase, reticulase, glutathione transferase, chaperones, and, etc. The most significantly down-regulated genes were involved in expansin, WAT1 related protein, bidirectional sugar transporter, vacuolar iron transporter homologue, and carbohydrate esterase, etc.

Fig. 2
figure 2

Heatmap of DEGs in P. polymyxa SC2 (a) and pepper (b).

Cluster analysis of expression patterns of genes/transcripts with significant differences was performed using a distance calculation algorithm. Spearman’s correlation coefficient was used to analyze the correlation among samples, while Pearson’s correlation coefficient was used for gene correlation analysis, and the cluster method was hcluster (complete algorithm). Each column in the figure represents a sample, and each row represents a gene. The color represents the gene expression in the group of samples (log10 FPKM); red indicates the gene is highly expressed in this sample, and green represents low expression. The number label under the colored bar at the top left of each panel presents the specific values for changes in gene expression. For each panel, the dendrogram of gene clustering is on the left, and the gene name is on the right. The closer the two gene branches are in the dendrogram, the closer their expression levels. The upper part of each heatmap depicts the dendrogram of sample clustering, while sample names are at the bottom of each heatmap. The closer the branches of two samples are in this dendrogram, the closer the expression patterns of all genes in these two samples. The original figures were shown in additional files (Additional File 5: Fig. S2, Additional File 6: Fig. S3)

Verification of selected DEGs using RT-qPCR

To verify the accuracy of the RNA-seq data, selected genes in P. polymyxa SC2 and pepper were subjected to RT-qPCR amplification.

In RNA-seq, the genes (pmxA, pmxB, pmxC, pmxD, and pmxE) related to polymyxin synthesis in P. polymyxa SC2 were up-regulated by 2.93-, 4.95-, 5.13-, 6.13-, and 4.93-fold, respectively. In the RT-qPCR, compared with the control group, the expression of pmxA/B/C/D/E genes were also up-regulated in the treated group (Fig. 3a). A gene cluster involved in fusaricidin biosynthesis was also detected in P. polymyxa SC2. In the RT-qPCR, relative expression levels of genes in this cluster (fusA, fusB, fusC, fusD, fusE, fusF, and fusG) were significantly higher in the treatment group than in the control group (Fig. 3b), and in RNA-seq of P. polymyxa SC2, these genes were up-regulated 7.5-, 7.81-, 7.74-, 7.88-, 6.65-, 2.77-, and 4.73-fold, respectively. In the RNA-seq of pepper, some genes encoding transcription factors and genes related to disease resistance were changed in varying degrees. RT-qPCR results of pepper treated with P. polymyxa SC2 revealed that expression of the genes wrky2, wrky3, wrky27, wrky40, and pti5 was up-regulated (Fig. 3c), congruent with the RNA-seq results. Overall, the expression trend of the selected genes in RT-qPCR was consistent with that in RNA-seq, indicating that the RNA-seq data were reliable.

Fig. 3
figure 3

RT-qPCR of genes in P. polymyxa SC2 and pepper. RT-qPCR of polymyxin synthesis genes (a) and fusaricidin synthesis genes (b) in P. polymyxa SC2, and selected transcription factor genes in pepper (c). GAPDH housekeeping genes were used as reference genes. Relative expression levels were calculated using the ΔΔCt method. Values in RT-qPCR indicate means ± SD (n = 3), and values in RNA-seq indicate means (n = 3)

Overall analysis of DEGs in P. polymyxa SC2

DEGs of P. polymyxa SC2 were mainly distributed in 36 sub-classes of three major categories in the GO database (Fig. 4a). Many genes were classified into cellular process, metabolic process, single-organism process, binding, and catalytic activity classes. Up-regulated genes were predominantly in the classes of enzyme regulator activity, biological adhesion, and multi-organism process, while down-regulated genes were associated with negative regulation of the biological process, antioxidant activity, and structural molecule activity. About 65 genes were significantly enriched into molecular function term. And there were 12, 12, 16, 13, and 12 genes enriched into phosphopantetheine binding term, modified amino acid binding term, amino acid binding term, vitamin binding term, and amide binding term, respectively. There were 61 genes enriched into biological process term. About 21, 18, 11, and 11 genes were significantly enriched into tetrapyrrole metabolic process, tetrapyrrole biosynthetic process, cobalamin biosynthetic process, cobalamin metabolic process, respectively.

Fig. 4
figure 4

Enriched Gene Ontology (GO) terms distributed to the DEGs in P. polymyxa SC2 (a) and pepper (b).

DEGs from P. polymyxa SC2 interacting with pepper, as identified by RNA-Seq, were enriched based on the GO database. The abscissa below the figure indicates the number of genes annotated to a GO term. The upper abscissa indicates the proportion of the number of genes annotated to a GO term to the total number of all GO-annotated genes. (Genes and GO terms are many-to-many relationships; a gene can contain multiple GO term annotations, and a GO term can also correspond to multiple genes, not one-to-one relationships). Ordinates represent each detailed classification of GO. Three squares represent three secondary classifications of GO, respectively

DEGs were also enriched according to the KEGG database. Results for P. polymyxa SC2 are shown in Fig. 5a. Numerous genes were enriched in various categories connected to metabolism, including 60 genes in the metabolism of amino acids and other amino acid classes of the metabolism category; 91 genes in carbon metabolism; 28 in energy metabolism; 25 associated with lipid metabolism; and 43 genes in the metabolism of cofactors and vitamins. A total of 63 genes were significantly enriched into the metabolism pathway and genetic information processing pathway. There were 19, 14, 12, 5, 5 genes enriched into porphyrin and chlorophyll metabolism pathway, fatty acid metabolism pathway, fatty acid biosynthesis pathway, fatty acid degradation pathway, and tryptophan metabolism pathway, respectively. Meanwhile, eight genes were enriched into sulfur relay system pathway which belongs to genetic information processing. Many genes were not enriched significantly. Transport genes were also up-regulated in P. polymyxa SC2. These included genes related to sulfate (cysW, cysT5, cysT3), molybdate (modA1, modA3), glycine (proV), and betaine (PPSC2_06215) transport in the mineral and organic ion transport classes. Up-regulation of genes associated with the transport of inorganic salt ions and minerals is beneficial for the absorption of inorganic salt ions and minerals in P. polymyxa SC2. A total of 43 genes related to ABC transport were detected in P. polymyxa SC2. ABC transport system genes associated with phosphate and amino acid transport (glnP1, glnP3, occM3, hisP, phnE, ptxC, and pstB5) were significantly up-regulated. Genes related to glutamine-transport (glnP1, glnP3) and cystine-transport (occM3, hisP) were up-regulated, as well as genes related to iron complexes, zinc/manganese/iron, and biotin transport in the metal cations, siderophores, and vitamin B12 transport category. Iron complex transport-related genes (fhuC1, fhuD1, fhuG7, fhuC3, yclP, yxeB11, yfmD, and cbrA1) were also up-regulated in varying degrees. Up-regulation of all these genes enhances the ability of P. polymyxa SC2 to transport metal ions. Metal ions have significant roles in the function of enzymes, which will be involved in many biological processes. Thus, the ability of P. polymyxa SC2 to transport ions will be beneficial to its growth.

Fig. 5
figure 5

KEGG Enrichment of DEGs in P. polymyxa SC2 (a) and pepper (b).

DEGs were also enriched according to the KEGG database [29]. Each column presents a path, and ordinate text indicates the name and classification of the path. The height of a column is expressed in ordinates enrichment rate (Enrichment Ratio = Sample Number/Background Number). *** p < 0.001, ** p < 0.01, and * p < 0.05

Overall analysis of DEGs in peppers

Inoculation of pepper with P. polymyxa SC2 led to some changes in gene expression in pepper. DEGs in pepper were mainly distributed in 44 sub-categories of three main categories in the GO database (Fig. 4b). There were abundant genes distributed in the classes of metabolic process, catalytic activity, binding, single-organism process, and cellular process. About 1110, 35, and 1069 genes were significantly enriched into biological process, cellular component, molecular function terms, respectively. A total of 307, 177, and 141 genes were enriched into biological process, single organism process, and single organism metabolic process, respectively. Thirty-five genes were significantly enriched into extracellular region which belongs to the cellular component. For molecular function, there were 315 and 203 genes enriched into molecular function and catalytic activity terms, respectively. The expression of many genes related to membrane-enclosed lumen, growth, positive regulation of the biological process, protein binding transcription factor activity, electronic carrier activity, nutrient reservoir activity, and extracellular region part related functions were up-regulated.

A total of 276 DEGs of pepper were enriched by KEGG analysis (Fig. 5b). A total of 105 genes were significantly enriched into five pathways, such as organismal systems (12 genes), metabolism (55 genes), human diseases (19 genes), genetic information processing (13 genes), environmental information processing (6 genes). These included 15 genes involved in the mitogen-activated protein kinase (MAPK) signaling pathway (6 genes) and plant hormone signal transduction (9 genes); 153 genes involved in metabolism; 12 genes involved in sesquiterpenoid and triterpenoid biosynthesis; and 11 genes related to phenylpropanoid biosynthesis.

Correlation between functional genes of P. polymyxa SC2 and pepper

Mutual recognition, chemotaxis, and colonization ability of P. polymyxa SC2 with pepper

Under the stimulation of pepper, a total of 19 genes related to the quorum sensing in P. polymyxa SC2 were up-regulated (Table 2). Up-regulated expression of genes related to quorum sensing could help P. polymyxa SC2 perceive environment changes. Expression of the gene PPSC2_08335, encoding chemotactic protein AER, was up-regulated by 3.25-fold, and this is likely to benefit P. polymyxa SC2 in receiving external signals and responding to environmental changes. Correlation analysis revealed that genes involved in histidine metabolism (c66011_g2), glutamic acid metabolism (c39553_g2), phenylalanine/tyrosine/tryptophan biosynthesis (c119522_g1), amino sugar/nucleotide glycogen metabolism (c48054_g1), alpha-linolenic acid metabolism gene (c79159_g1) in pepper associated with the gene encoding AER protein in P. polymyxa SC2. Pepper not only stimulated the expression of chemoreceptors but also affected the expression of specific chemotaxis genes in P. polymyxa SC2. These included genes such as cheA, cheW, cheY, cheD, and cheC, which were up-regulated by 1.49- to 2.11-fold. Meanwhile, two genes (fliM and fliN) encoding flagellar motor switch proteins were both up-regulated by 2.16-fold. This indicated that in the presence of pepper, the motility of P. polymyxa SC2 was enhanced. This would be conducive to the colonization of P. polymyxa SC2 in the pepper rhizosphere.

Table 2 DEGs related to quorum sensing, chemotaxis, and biofilm formation in P. polymyxa SC2

After interacting with peppers, genes related to biofilm formation of P. polymyxa SC2 were changed in varying degrees. Expression of kinA, epsB, and epsE was up-regulated by 2.34- to 6.69-fold, while expression of sinR and abrB was down-regulated by 1.21-fold and 3.06-fold, respectively. The genes (degU and abh) related to biofilm formation were up-regulated by 2.02- and 2.74-fold. They may be indicated to promote biofilm formation for P. polymyxa SC2. In summary, pepper stimulated biofilm formation of P. polymyxa SC2, which would be conducive for colonization in the pepper rhizosphere.

Growth-promoting analysis of potential nutrient supply between P. polymyxa SC2 and pepper

After interacting with peppers, expression of gene encoding phytase (PPSC2_05715) in P. polymyxa SC2 was up-regulated by 2.65-fold. Phytase can hydrolyze phosphate residues from phytic acid. The up-regulated expression of phytase may increase the concentration of inorganic phosphorous in the medium and promote the growth of peppers. In the RNA-seq of P. polymyxa SC2 interacted with pepper, some genes related to carbon metabolism and amino acid metabolism were detected in P. polymyxa SC2. Most of them were up-regulated (data are shown in Table 3). It seems clear that peppers provide some nutrients for the growth of P. polymyxa SC2.

Table 3 Genes related to metabolism in P. polymyxa SC2

Defense mechanisms between P. polymyxa SC2 and pepper

Polymyxin and fusaricidin are important secondary metabolites of P. polymyxa SC2, and inhibit the growth of pathogenic bacteria and fungi, respectively. Under the stimulation of pepper, expression of genes related to polymyxin and fusaricidin biosynthesis in P. polymyxa SC2 was significantly up-regulated by 2.93- to 6.13-fold and 2.77- to 7.88-fold, respectively (Table 4). The ectB gene (PPSC2_11845) encoding aminotransferase for polymyxin production was up-regulated by 2-fold. Up-regulation of genes related to polymyxin biosynthesis may increase the production of polymyxin, which may strengthen the resistance of pepper to bacterial pathogens in nature. Genes related to fatty acid synthesis (accB, fabG5, fabH3, fabD3, and fabG13) were all up-regulated (3.74-, 2.43-, 2.93-, 3.31-, and 2.93-fold, respectively). The changes in these genes may be beneficial for the synthesis of fusaricidin because this process requires fatty acid side chains.

Table 4 DEGs related to secondary metabolic clusters in P. polymyxa SC2

The antagonistic results of P. polymyxa SC2 against the pathogenic bacterium Xanthomonas citri were shown in Fig. 6. Fermentation broth of P. polymyxa SC2 supplemented with MS medium (which has been used for culturing pepper) had the best antagonistic effect on X. citri. The effects of P. polymyxa SC2 were also tested on the growth of Fusarium moniliforme, but the antagonistic circle in the treated group was smaller than that in the control group (data not shown).

Fig. 6
figure 6

Antagonistic assay of P. polymyxa SC2 against Xanthomonas citri.

The antagonistic assay comprised three treatment groups. Control: fermentation medium was inoculated P. polymyxa SC2. MS group: fermentation medium was supplemented with 1 mL MS medium and then inoculated with P. polymyxa SC2. PM group: fermentation medium was supplemented with 1 mL MS medium (which has been used for culturing peppers) and then inoculated with P. polymyxa SC2. Values indicate means ± SD (n = 3; * P < 0.05, Student’s t-test)

While pepper influenced the expression of genes of P. polymyxa SC2, the bacterium also played an important role in the expression of pepper genes. P. polymyxa SC2 stimulated an up-regulation in expression of transcription factors (TFs) (Table 5), including WRKY2 (c33870_g1), WRKY3 (c39207_g1), WRKY40 (c50361_g2), and WRKY33 (c66538_g3), which were up-regulated by 1.17- to 4.2-fold, respectively. This finding suggests that P. polymyxa SC2 induces systemic resistance in pepper. Other pepper genes were also up-regulated after inoculation with P. polymyxa SC2. These included ethylene response factor 1 (ERF1) gene, up-regulated by 4.86-fold; the gene c78851_g1 encoding Pti5, which can activate defense responses of plants to aphid and bacteria, up-regulated by 6.14-fold; genes directly involved in plant defense (such as CML and PIK1); genes involved in the jasmonic acid signaling pathway (JAZ), isoquinoline alkaloid biosynthesis (TAT), and phenylpropanoid biosynthesis (MYB); and genes DNAJC7, PPID, HSPA1, and RNF5, belonging to chaperone, heat shock protein, and ubiquitin, up-regulated by 4.12- to 5.86-fold. These results indicated that P. polymyxa SC2 could improve the defense ability of pepper.

Table 5 DEGs related to defense mechanisms in pepper

Discussion

P. polymyxa SC2 promotes the growth of pepper and inhibits several phytopathogens [30]. To understand the interactional relationship of P. polymyxa SC2 and pepper, a pot experiment and transcriptome analysis of P. polymyxa SC2 and pepper in co-cultured conditions were conducted.

In the pot experiment, P. polymyxa SC2 not only increased the stem diameter and leaf size of pepper, but also significantly increased the chlorophyll content of pepper leaves. Chlorophyll participates in energy transfer by absorbing light energy in the process of photosynthesis [31]. PGPR can promote plant growth by increasing the chlorophyll content of plants. Actinetobacter calcoaceticus p23As, as a member of PGPR, significantly increased the chlorophyll content of monocot Lemna minor (duckweed) and the dicot Lactuca sativa (lettuce) [32]. The PGPR Bacillus megaterium M3 and B. subtilis OSU142, which were previously reported as plant-growth-promoting and potential biocontrol agents, could increase the chlorophyll content of wheat [33]. Chlorophyll contents of chickpea were significantly increased following inoculation with P. polymyxa [34]. Increasing the chlorophyll content may also increase the biomass of plants. However, in the current study, differences in biomass of pepper were not obvious in the group inoculated with P. polymyxa SC2 (data not shown). This may be because the growth of pepper in the pot is limited by space.

Interaction between P. polymyxa SC2 and pepper resulted in numerous differences in gene expression in the transcriptome of P. polymyxa SC2. Chemotaxis is advantageous for bacterial colonization in the rhizosphere of plants [35, 36], and can mediate beneficial bacteria-plant interactions [37]. After interacting with pepper, expression of chemotactic genes of P. polymyxa SC2 changed in varying degrees. Expression of genes encoding histidine kinase CheA and the coupling protein CheW was up-regulated by 2.11- and 2.04-fold, respectively. These genes help P. polymyxa SC2 respond to chemical stimuli. Up-regulation of effector protein CheY and the flagellar motor switch proteins FliM and FliN could promote motility of P. polymyxa SC2. These results indicated that pepper roots may secrete signaling molecules that can attract P. polymyxa SC2 to move towards pepper. Previous studies have reported that root exudate components can attract PGPR motility. Phazna et al. showed that six organic acids in the root exudates of Capsicum chinense were chemotactic for Pseudomonas, Burkholderia, and Bacillus [38]. Biofilm formation also plays an important role in the colonization of PGPR [39]. The proteins SinR and AbrB are negative regulators in biofilm formation [40]. After interacting with pepper, expression of the genes sinR and abrB was down-regulated in P. polymyxa SC2. This suggested that the root exudates may induce TasA operon expression [41]. Meanwhile, expression of genes related to biofilm formation (kinA, epsB, epsE, degU, and abh) in P. polymyxa SC2 was up-regulated by 2.02- to 6.69-fold, respectively. This may facilitate P. polymyxa SC2 colonization in the rhizosphere of peppers.

Phytase plays an important role in phosphate solubilization [42]. After interacting with pepper, genes encoding phytase were up-regulated in P. polymyxa SC2. This indicated that P. polymyxa SC2 may enhance the ability of pepper to absorb phosphorus. Improving phosphorus uptake may promote pepper growth to some extent. Previous studies also found that phytase-secreting bacteria can enhance the phosphorous content in plants [43]. Pepper also stimulated the expression of metabolic genes in P. polymyxa SC2. In the RNA-seq of P. polymyxa SC2, various genes related to metabolism were up-regulated, including genes involved in fructose and mannose metabolism, which were up-regulated by 2.20- to 7.84-fold. Vančura and Hovadík reported that sucrose and fructose were components of red pepper root exudates [44], and this would explain the results of our study. Pepper also stimulated the expression of genes related to alanine, aspartate, and glutamate metabolism. We found that alanine could be used as a nitrogen source for growth of P. polymyxa SC2 growth (unpublished data). Together, these results suggest that root exudates of pepper may provide nutrients for the growth of P. polymyxa SC2.

In the presence of pepper, the expression of genes related to polymyxin and fusaricidin in P. polymyxa SC2 was up-regulated. Expression of the aminotransferase gene ectB was also up-regulated. L-2,4-diaminobutyric acid (L-Dab), the precursor of polymyxin synthesis, is synthesized by EctB [45]. In the initial stage of polymyxin synthesis, increasing Dab can increase the yield of polymyxin E [46]. However, after fermentation for 35 h, addition of L-Dab inhibited the production of polymyxin and suppressed ectB expression [45]. In this study, P. polymyxa SC2 interacted with pepper for 20 h before transcriptome sequencing. This short culture time may account for the increase in endogenous precursor Dab increasing the yield of polymyxin. In the antagonistic test, the antagonistic ability of P. polymyxa SC2 was confirmed to be stronger after adding the medium that had been used to culture pepper. This may be related to the up-regulated expression of polymyxin biosynthesis gene cluster in P. polymyxa SC2 under the effects of pepper root exudates. Although the expression of genes related to fusaricidin biosynthesis cluster was up-regulated, the ability of P. polymyxa SC2 to inhibit fungi (F. moniliforme) did not change significantly after adding the medium that had been used to culture pepper. This may be because polymyxin and fusaricidin compete for the same transporter genes to be secreted [47]. It is also possible that the MS medium contains substances that inhibit the synthesis of fusaricidin. Thus, genes related to fusaricidin biosynthesis in P. polymyxa SC2 were only up-regulated at the level of gene transcription.

For plants, WRKY is a superfamily of transcription factors that play important roles in many biological processes [48,49,50,51,52,53]. In the current study, the genes encoding WRKY2 and WRKY40 (c33870_g1 and c103783_g1, respectively) were up-regulated in pepper. For the pepper, C. annuum, the gene encoding WRKY2 (CaWRKY2) was regarded as an early component of defense signaling and it was rapidly induced following inoculation with host or non-host pathogens [54]. The gene CaWRKY40 was reported to be regulated by salicylic acid, jasmonic acid, and ethylene signaling in response to Ralstonia solanacearum infection and heat stress in pepper [55]. Combining our data with the above research leads us to speculate that P. polymyxa SC2 could induce the systemic resistance of pepper and enhance the resistance of pepper to some pathogens.

Conclusion

In this study, P. polymyxa SC2 effectively improved the agronomic characteristics of peppers. The root exudates of pepper enhanced the antagonistic ability of P. polymyxa SC2 against pathogenic bacteria. Meanwhile, based on the transcriptomics data, pepper can induce the expression of genes related to polymyxin biosynthesis. Pepper could stimulate the expression of genes related to quorum sensing, chemotaxis, and biofilm formation in P. polymyxa SC2. Concurrently, P. polymyxa SC2 may also induce the systemic resistance of pepper by stimulating the expression of some TFs. This interactional relationship between pepper and P. polymyxa SC2 is the result of multiple pathways and coordinated regulation of various reactions. This study described the growth-promoting effects of P. polymyxa SC2 on pepper and contributes to elucidating the growth-promoting mechanisms of P. polymyxa.

Methods

Strains and plants

P. polymyxa SC2 was isolated from the rhizosphere soil of pepper in Guizhou, China and stored at 4 °C in the dark. Strain SC2 was activated on Luria-Bertani (LB) agar plates and then cultured at 37 °C for 24–48 h. A single colony of the strain was inoculated in 5 mL LB liquid medium, shaken at 37 °C overnight, then 5 mL was subcultured into 50 mL fresh LB and shaken at 37 °C for a further 12 h. Cell suspensions, diluted to 108 cells/mL, were used for pot experiments. Cells were collected by centrifugation and were resuspended in 1× PBS buffer to an OD600 of 1.0. It was used for co-cultivation with pepper in a sterile environment. Xanthomonas citri, a pathogen causing citrus canker [56, 57], was used in the antagonistic test. Xanthomonas citri was inoculated on LB agar and cultured at 30 °C for 24–48 h. A single colony of Xanthomonas citri was then inoculated into 5 mL LB liquid medium and shaken at 30 °C overnight for the test. Pepper seeds (Capsicum annuum L. (Shengfeng)) were purchased from Nongda Seed Company, Tai’an, China.

Promotion effects of P. polymyxa SC2 on pepper in pot conditions

Pot experiments were conducted in the greenhouse of Shandong Agricultural University. Approximately four pepper seeds were planted in each hole of aperture disks containing vermiculites, and were cultured at 25 °C. After germination, a seedling remained in each hole. Seedlings with 4–5 euphylla were ready for pot experiments. Approximately 3 kg healthy soil (or continuous cropping soil) was placed in a pot (25 cm diameter and 15 cm depth). Pepper seedlings in a similar growth trend were selected and one seedling was transplanted into each pot and irrigated with 500 mL Hoagland nutrient solution [58]. Experimental treatments commenced after 3 days. Treated group: each pot of peppers was irrigated with 5 mL P. polymyxa SC2 fermentation broth (1 × 108 CFU/mL) and diluted with water to 200 mL. Control group: 5 mL sterilized LB medium was poured into the rhizosphere soil of peppers in the same way as the treated group. Fifteen biological replicates were set per treatment. Agronomic traits including stem diameter (diameter at the ground base), plant height (vertical height from the soil surface to the highest point of the main stem), leaf width, and leaf length were investigated at 30, 40, and 50 dpi. Fresh weights of above ground and underground parts were determined after pot experiments. At 40 dpi, the leaves of five pepper plants were randomly selected for chlorophyll determination by the ethanol method [59].

Interaction treatments of P. polymyxa SC2 and pepper in sterile conditions

To better analyze the interaction mechanisms between P. polymyxa SC2 and peppers, a co-culture experiment was carried out under sterile conditions. To achieve these conditions, the peppers needed to be sterile. The surfaces of pepper seeds were sterilized by dipping in 75% (vol/vol) ethanol for 5 min, then the seeds were immersed in 1‰ (vol/vol) mercury dichloride for 20 min before rinsing with sterile distilled water for 5–7 times. Sterilized seeds were placed on wire mesh in tissue culture vessels containing Murashige and Skoog (MS) liquid medium prepared according to Guan’s method [60]. Culture vessels were then placed in a plant growth chamber at 25 °C with 16 h light (day) period (13,200 lx) and 8 h dark (night) period. Twenty days post-germination, seedlings were used for the interaction experiment, and at this time, roots of the seedlings grow in the liquid MS medium. P. polymyxa SC2 was inoculated into liquid medium to study the possible interactions between pepper and P. polymyxa SC2. The bacteria negative control comprised 1 mL P. polymyxa SC2 suspension applied to sterilized MS medium; P. polymyxa SC2 cells were collected after 20 h and named as [S]. The plant negative control comprised pepper seedlings treated with 1 mL of 1× PBS buffer; roots of the pepper seedlings were collected after 20 h and marked as [P]. The P. polymyxa SC2-pepper co-cultured group comprised peppers treated with 1 mL P. polymyxa SC2; bacterial cells and pepper roots were collected after 20 h and named as [SH] and [PH], respectively. Each treatment was designed with three biological replicates. The collected bacteria and pepper roots were frozen in liquid nitrogen and stored at − 80 °C until further processing.

RNA extraction and RNA-seq

Total RNA of P. polymyxa SC2 and peppers was extracted and purified using the TRIzol (Invitrogen) method. Total RNA quantity and quality were assessed using a NanoDrop 2000 spectrophotometer. RNA integrity number (RIN) was investigated using an Agilent 2100 Bioanalyzer. RNA quality is an essential factor in RNA-seq, therefore only RNA samples with RIN > 6, 230/260 and 260/280 ratios> 2 were used. The mRNA of pepper was isolated from the crude RNA via Oligo (dT) according to the manufacturer’s (NEBNext® Ultra™ RNA Library Prep Kit for Illumina®) instructions. The mRNA of P. polymyxa SC2 was isolated by removing rRNA. The mRNA was randomly fractured into small fragments of approximately 200 bp, and was reversed to a single strand of cDNA by random primers. Two-strand cDNA was further synthesized to form a stable double-strand structure. End Repair Mix was used to complement double-stranded cDNA into flat ends, and then an A base was added at the 3′ end. The library was enriched and sequencing of cDNA fragments was conducted using an Illumina Hiseq4000 platform.

Bioinformatics analyses

Raw RNA-seq data were stored in a fastq file format. To ensure the accuracy of subsequent bioinformatics analysis, raw reads were filtered by SeqPrep (https://github.com/jstjohn/SeqPrep) and Sickle (https://github.com/najoshi/sickle). In this stage, the reads without inserting fragments due to the self-connection of connectors, and the reads with N ratio over 10%, and the reads less than 20 bp were removed. Then the high-quality clean data were assembled and aligned. Clean reads of P. polymyxa SC2 were mapped to the reference genome of P. polymyxa SC2 (https://www.ncbi.nlm.nih.gov/nuccore/NC_014622.2). Bowtie2 was used to align the clean reads and reference genome [61]. Since there was no reference genome for pepper, Trinity software (http://trinityrnaseq.sourceforge.net/, vision:trinityrnaseq-r2013-02-25) was used to assemble the short fragment sequences of pepper after obtaining high-quality sequencing data from RNA-seq [62], and predict the ORFs. The ORFs were searched through HMMER3, and the annotated proteins were aligned with NR, String, SwissProt, and KEGG databases to obtain corresponding annotation information through Blastx (Version 2.2.25, E value<1e− 5). The software edgeR was used to analyze differentially expressed genes [63]. GO enrichment analysis of differentially expressed genes was performed using GOATOOLS software (https://github.com/tanghaibao/GOatools) [64]. KEGG pathway enrichment was conducted with KOBAS [65]. Fisher’s exact test was used to analysis of GO/KEGG enrichment. The p-value (p_fdr) ≤ 0.05 indicated that the GO/KEGG function was enriched significantly.

Expression profiling by RT-qPCR

One microgram of purified total RNA was used as a template for first-strand cDNA synthesis using an Evo M-MLV RT Kit with gDNA Clean for qPCR (Accurate Biotechnology (Hunan) Co., Ltd). Selected genes for each treatment were amplified to validate the RNA-seq results. These genes were selected from the DEG lists obtained for each condition. Primer sequences were designed using Beacon Designer 7 and are listed in Additional File 7: Table S5. The gene encoding glyceraldehyde-3-phosphate dehydrogenase (GAPDH) of pepper was used as the reference gene and GAPDH of P. polymyxa SC2 was used as an endogenous control. Relative expression levels were calculated using the ΔΔCt method [66]. Three biological replicates were used for real-time quantitative PCR.

Antibacterial activity assay

An experiment was designed to test the effects of pepper root exudates on antibiotic production by P. polymyxa SC2. There were three treatment groups. Control: fermentation medium (sucrose 43.6 g/L, (NH4)2SO4 6.66 g/L, CaCO3 6.26 g/L, KH2PO4 0.2 g/L, NaCl 0.2 g/L, MgSO4 0.2 g/L) inoculated with P. polymyxa SC2. Treated group 1 (MS): fermentation medium supplemented with 1 mL MS medium and then inoculated with P. polymyxa SC2. Treated group 2 (PM): fermentation medium supplemented with 1 mL MS medium (which has been used for culturing peppers) and then inoculated with P. polymyxa SC2.

P. polymyxa SC2 was inoculated into 5 mL LB liquid medium and cultured at 37 °C, 180 rpm for 8–12 h, before being subcultured into the appropriate fermentation medium at 2% inoculation volume and incubated at 37 °C, 180 rpm for 72 h. For the antagonistic test, the P. polymyxa SC2 cultures were centrifuged at 12000 rpm for 10 min to remove cells, and the supernatants were used. Sterile water with 2% agar was added into Petri dishes and allowed to coagulate, then Oxford cups were placed in the Petri dishes. Next, 2 mL Xanthomonas citri cells were mixed with 200 mL LB medium containing 1% agar and cooled below 55 °C to prepare the plates. A total of 100 μL P. polymyxa SC2 culture supernatant was loaded into the well of the Oxford cup and incubated at 37 °C for 24 h to observe the growth inhibition effect on X. citri. All treatments had three replicates.

Statistical analysis

Statistical analyses were performed using the Student’s t-test in SPSS 19.0. Columns were drawn using GraphPad Prism 7. P < 0.05 (*) in columns means there was a significant difference, and P < 0.01 (**) means there was an extremely significant difference.

Availability of data and materials

The raw data of the transcriptome has been uploaded to the Sequence Read Archive (SRA) database in National Center for Biotechnology Information (NCBI). The accession numbers are SRP242237 (https://trace.ncbi.nlm.nih.gov/Traces/sra/?study=SRP242237) and SRP242239 (https://trace.ncbi.nlm.nih.gov/Traces/sra/?study=SRP242239).

Abbreviations

PGPR:

Plant growth-promoting rhizobacteria

ACC:

1-aminocyclopropane-1-carboxylate

IAA:

Indole-3-acetic acid

IAN:

Indole-3-acetonitrile

dpi:

Days post-inoculation

DEGs:

Differential expression genes

GO:

Gene Ontology

KEGG:

Kyoto Encyclopedia of Genes and Genomes

TFs:

Transcription factors

LB:

Luria-Bertani

MS:

Murashige and Skoog

OD:

Optical density

RIN:

RNA Integrity Number

References

  1. Ahemad M, Kibret M. Mechanisms and applications of plant growth promoting rhizobacteria: current perspective. J King Abdulaziz Univ-Sci. 2014;26:1–20.

    Google Scholar 

  2. Castagno LN, Estrella MJ, Sannazzaro AI, Grassano AE, Ruiz OA. Phosphate-solubilization mechanism and in vitro plant growth promotion activity mediated by Pantoea eucalypti isolated from Lotus tenuis rhizosphere in the Salado River basin (Argentina). J Appl Microbiol. 2011;110:1151–65.

    Article  CAS  PubMed  Google Scholar 

  3. Ludueña LM, Anzuay MS, Angelini JG, Mcintosh M, Becker A, Rupp O, Goesmann A, Blom J, Fabra A, Taurian T. Strain Serratia sp. S119: a potential biofertilizer for peanut and maize and a model bacterium to study phosphate solubilization mechanisms. Appl Soil Ecol. 2018;126:107–12.

    Article  Google Scholar 

  4. Gómez-Sagasti MT, Marino D. PGPRs and nitrogen-fixing legumes: a perfect team for efficient cd phytoremediation? Front Plant Sci. 2015;6:81.

    PubMed  PubMed Central  Google Scholar 

  5. Erturk Y, Ercisli S, Haznedar A, Cakmakci R. Effects of plant growth promoting rhizobacteria (PGPR) on rooting and root growth of kiwifruit (Actinidia deliciosa) stem cuttings. Biol Res. 2010;43:91–8.

    Article  PubMed  Google Scholar 

  6. Himadri Bhusan B, Subhasis D, Dangar TK, Adhya TK. ACC deaminase and IAA producing growth promoting bacteria from the rhizosphere soil of tropical rice plants. J Basic Microbiol. 2013;53:972–84.

    Article  CAS  Google Scholar 

  7. Tank N, Saraf M. Enhancement of plant growth and decontamination of nickel-spiked soil using PGPR. J Basic Microbiol. 2010;49:195–204.

    Article  CAS  Google Scholar 

  8. Niu B, Vater J, Rueckert C, Blom J, Lehmann M, Ru JJ, Chen XH, Wang Q, Borriss R. Polymyxin P is the active principle in suppressing phytopathogenic Erwinia spp. by the biocontrol rhizobacterium Paenibacillus polymyxa M-1. BMC Microbiol. 2013;13:137.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Sabaté DC, Brandan CP, Petroselli G, Erra-Balsells R, Audisio MC. Decrease in the incidence of charcoal root rot in common bean (Phaseolus vulgaris L.) by Bacillus amyloliquefaciens B14, a strain with PGPR properties. Biol Control. 2017;113:1–8.

    Article  CAS  Google Scholar 

  10. Latha P, Anand T, Ragupathi N, Prakasam V, Samiyappan R. Antimicrobial activity of plant extracts and induction of systemic resistance in tomato plants by mixtures of PGPR strains and Zimmu leaf extract against Alternaria solani. Biol Control. 2009;50:85–93.

    Article  Google Scholar 

  11. Tahir HAS, Qin G, Wu H, Raza W, Safdar A, Huang Z, Rajer FU, Gao X. Effect of volatile compounds produced by Ralstonia solanacearum on plant growth promoting and systemic resistance inducing potential of Bacillus volatiles. BMC Plant Biol. 2017;17:133.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. von der Weid I, Paiva E, Nóbrega A, Elsas JDV, Seldin L. Diversity of Paenibacillus polymyxa strains isolated from the rhizosphere of maize planted in Cerrado soil. Res Microbiol. 2000;151:369–81.

    Article  PubMed  Google Scholar 

  13. Ma M, Wang C, Ding Y, Li L, Shen D, Jiang X, Guan D, Cao F, Chen H, Feng R. Complete genome sequence of Paenibacillus polymyxa SC2, a strain of plant growth-promoting rhizobacterium with broad-spectrum antimicrobial activity. J Bacteriol. 2011;193:311–2.

    Article  CAS  PubMed  Google Scholar 

  14. Coelho MR, Da MF, Carneiro NP, Marriel IE, Paiva E, Rosado AS, Seldin L. Diversity of Paenibacillus spp. in the rhizosphere of four sorghum (Sorghum bicolor) cultivars sown with two contrasting levels of nitrogen fertilizer assessed by rpoB-based PCR-DGGE and sequencing analysis. J Microbiol Biotechnol. 2007;17:753–60.

    CAS  PubMed  Google Scholar 

  15. Bent E, Breuil C, Enebak S, Chanway CP. Surface colonization of lodgepole pine ( Pinus contorta var. latifolia [Dougl. Engelm.]) roots by Pseudomonas fluorescens and Paenibacillus polymyxa under gnotobiotic conditions. Plant Soil. 2002;241:187–96.

    Article  CAS  Google Scholar 

  16. Raza W, Yuan J, Ning L, Huang Q, Shen Q. Production of volatile organic compounds by an antagonistic strain Paenibacillus polymyxa WR-2 in the presence of root exudates and organic fertilizer and their antifungal activity against Fusarium oxysporum f. sp. niveum. Biol Control. 2015;80:89–95.

    Article  CAS  Google Scholar 

  17. Weselowski B, Nathoo N, Eastman AW, Macdonald J, Yuan ZC. Isolation, identification and characterization of Paenibacillus polymyxa CR1 with potentials for biopesticide, biofertilization, biomass degradation and biofuel production. BMC Microbiol. 2016;16:244.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  18. Zhou C, Guo J, Zhu L, Xiao X, Xie Y, Zhu J, Ma Z, Wang J. Paenibacillus polymyxa BFKC01 enhances plant iron absorption via improved root systems and activated iron acquisition mechanisms. Plant Physiol Biochem. 2016;105:162–73.

    Article  CAS  PubMed  Google Scholar 

  19. Anand R, Chanway C. N2-fixation and growth promotion in cedar colonized by an endophytic strain of Paenibacillus polymyxa. Biol Fertil Soils. 2013;49:235–9.

    Article  CAS  Google Scholar 

  20. Arthurson V, Hjort K, Muleta D, Jäderlund L, Granhall U. Effects on Glomus mosseae root colonization by Paenibacillus polymyxa and Paenibacillus brasilensis strains as related to soil P-availability in winter wheat. Applied and Environmental Soil Science. 2011;2011:466–70.

    Article  Google Scholar 

  21. Mei L, Liang Y, Zhang L, Wang Y, Guo Y. Induced systemic resistance and growth promotion in tomato by an indole-3-acetic acid-producing strain of Paenibacillus polymyxa. Ann Appl Biol. 2014;165:270–9.

    Article  CAS  Google Scholar 

  22. Zhu H, Yao L, Tian F, Du B, Ding Y. Screening and study on biological characteristics of antagonistic bacteria against Fusarium solani. Biotechnology bulletin (in Chinese). 2008;18:156–9.

    CAS  Google Scholar 

  23. Wu Y, Ma L, Liu Q, Vestergrd M, Feng Y. The plant-growth promoting bacteria promote cadmium uptake by inducing a hormonal crosstalk and lateral root formation in a hyperaccumulator plant Sedum alfredii. J Hazard Mater. 2020;395:122661.

    Article  CAS  PubMed  Google Scholar 

  24. Lakshmanan V, Castaneda R, Rudrappa T, Bais HP. Root transcriptome analysis of Arabidopsis thaliana exposed to beneficial Bacillus subtilis FB17 rhizobacteria revealed genes for bacterial recruitment and plant defense independent of malate efflux. Planta. 2013;238:657–68.

    Article  CAS  PubMed  Google Scholar 

  25. Xie S, Wu H, Chen L, Zang H, Xie Y, Gao X. Transcriptome profiling of Bacillus subtilis OKB105 in response to rice seedlings. BMC Microbiol. 2015;15:21.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  26. Singh RP, Runthala A, Khan S, Jha PN. Quantitative proteomics analysis reveals the tolerance of wheat to salt stress in response to Enterobacter cloacae SBP-8. PLoS One. 2017;12:e0183513.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  27. Kwon YS, Lee DY, Rakwal R, Baek SB, Lee JH, Kwak YS, Seo JS, Chung WS, Bae DW, Kim SG. Proteomic analyses of the interaction between the plant-growth promoting rhizobacterium Paenibacillus polymyxa E681 and Arabidopsis thaliana. Proteomics. 2016;16:122–35.

    Article  CAS  PubMed  Google Scholar 

  28. Liu H, Wang J, Sun HM, Han XB, Peng YL, Liu J, Liu K, Ding YQ, Wang CQ, Du BH. Transcriptome Profiles Reveal the Growth-Promoting Mechanisms of Paenibacillus polymyxa YC0136 on Tobacco (Nicotiana tabacum L.). Front. Microbiol. 2020;11:584174.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Ogata H, Goto S, Sato K, Fujibuchi W, Bono H, Kanehisa M. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 1999;27:29–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Hou X, Yu X, Du B, Liu K, Yao L, Zhang S, Selin C, Fernando WGD, Wang C, Ding Y. A single amino acid mutation in Spo0A results in sporulation deficiency of Paenibacillus polymyxa SC2. Res Microbiol. 2016;167:472–9.

    Article  CAS  PubMed  Google Scholar 

  31. Reinbothe C, Bakkouri ME, Buhr F, Muraki N, Nomata J, Kurisu G, Fujita Y, Reinbothe S. Chlorophyll biosynthesis: spotlight on protochlorophyllide reduction. Trends Plant Sci. 2010;15:614–24.

    Article  CAS  PubMed  Google Scholar 

  32. Suzuki W, Sugawara M, Miwa K, Morikawa M. Plant growth-promoting bacterium Acinetobacter calcoaceticus P23 increases the chlorophyll content of the monocot Lemna minor (duckweed) and the dicot Lactuca sativa (lettuce). J Biosci Bioeng. 2014;118:41–4.

    Article  CAS  PubMed  Google Scholar 

  33. Turan M, Gulluce M, Şahin F. Effects of plant-growth-promoting Rhizobacteria on yield, growth, and some physiological characteristics of wheat and barley plants. Commun Soil Sci Plant Anal. 2012;43:1658–73.

    Article  CAS  Google Scholar 

  34. Akhtar MS, Siddiqui ZA. Biocontrol of a chickpea root-rot disease complex with Glomus intraradices, Pseudomonas putida and Paenibacillus polymyxa. Austral Plant Pathol. 2007;36:175–80.

    Article  Google Scholar 

  35. Wu K, Yuan S, Xun G, Shi W, Pan B, Guan H, Shen B, Shen Q. Root exudates from two tobacco cultivars affect colonization of Ralstonia solanacearum and the disease index. Eur J Plant Pathol. 2015;141:667–77.

    Article  CAS  Google Scholar 

  36. Johnson KS, Ottemann KM. Colonization, localization, and inflammation: the roles of H. pylori chemotaxis in vivo. Curr Opin Microbiol. 2017;41:51–7.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  37. Scharf BE, Hynes MF, Alexandre G. Chemotaxis signaling systems in model beneficial plant-bacteria associations. Plant Mol Biol. 2016;90:549–59.

    Article  CAS  PubMed  Google Scholar 

  38. PD TA, Sahoo D, Setti A, Sharma C, Kalita MC, ID S. Bacterial rhizosphere community profile at different growth stages of Umorok (Capsicum chinense) and its response to the root exudates. Int Microbiol. 2020;23:241–51.

    Article  CAS  Google Scholar 

  39. Yuan J, Zhang N, Huang Q, Raza W, Li R, Vivanco JM, Shen Q. Organic acids from root exudates of banana help root colonization of PGPR strain Bacillus amyloliquefaciens NJN-6. Sci Rep. 2015;5:13438.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Vlamakis H, Chai Y, Beauregard P, Losick R, Kolter R. Sticking together: building a biofilm the Bacillus subtilis way. Nat Rev Microbiol. 2013;11:157–68.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Murray EJ, Strauch MA, Stanley-Wall NR. σX is involved in controlling Bacillus subtilis biofilm architecture through the AbrB homologue Abh. J Bacteriol. 2009;191:6822–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Behera BC, Singdevsachan SK, Mishra RR, Dutta SK, Thatoi HN. Diversity, mechanism and biotechnology of phosphate solubilising microorganism in mangrove-a review. Biocatalysis Agricultural Biotechnol. 2014;3:97–110.

    Article  Google Scholar 

  43. Ramirez CA, Kloepper JW. Plant growth promotion by Bacillus amyloliquefaciens FZB45 depends on inoculum rate and P-related soil properties. Biol Fertil Soils. 2010;46:835–44.

    Article  CAS  Google Scholar 

  44. Vančura V, Hovadík A. Root exudates of plants. Plant Soil. 1965;22:21–32.

    Article  Google Scholar 

  45. Yu Z, Guo C, Qiu J. Precursor amino acids inhibit Polymyxin E biosynthesis in Paenibacillus polymyxa. Probably by Affecting the Expression of Polymyxin E Biosynthesis-Associated Genes Biomed Res Int. 2015;2015:11.

    Google Scholar 

  46. Kuratsu Y, Arai Y, Inuzuka K, Suzuki T. Stimulatory effect of aspartic acid on Colistin production by Bacillus polymyxa. Agric Biol Chem. 1983;47:2607–12.

    CAS  Google Scholar 

  47. Shaheen M, Li J, Ross AC, Vederas JC, Jensen SE. Paenibacillus polymyxa PKB1 produces variants of Polymyxin B-type antibiotics. Chem Biol. 2011;18:1640–8.

    Article  CAS  PubMed  Google Scholar 

  48. Li J, Brader G, Kariola T, Palva ET. WRKY70 modulates the selection of signaling pathways in plant defense. Plant J. 2006;46:477–91.

    Article  CAS  PubMed  Google Scholar 

  49. Aditya B, Aryadeep R. WRKY Proteins. Signaling and Regulation of Expression during Abiotic Stress Responses. Scientific World J. 2015;2015:807560.

    Google Scholar 

  50. Phukan UJ, et al. WRKY transcription factors: molecular regulation and stress responses in plants. Front Plant Sci. 2016;7:760.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Jiang J, Ma S, Ye N, Jiang M, Cao J, Zhang J. WRKY transcription factors in plant responses to stresses. J Integr Plant Biol. 2017;59:86–101.

    Article  CAS  PubMed  Google Scholar 

  52. Yang X, Li H, Yang Y, Wang Y, Mo Y, Zhang R, Zhang Y, Ma J, Wei C, Zhang X. Identification and expression analyses of WRKY genes reveal their involvement in growth and abiotic stress response in watermelon (Citrullus lanatus). PLoS One. 2018;13:e0191308.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  53. Han D, Hou Y, Wang Y, Ni B, Li Z, Yang G. Overexpression of a Malus baccata WRKY transcription factor gene (MbWRKY5) increases drought and salt tolerance in transgenic tobacco. Can J Plant Sci. 2019;99:173–83.

    Article  CAS  Google Scholar 

  54. Oh SK, Yi SY, Yu SH, Moon JS, Choi D. CaWRKY2, a chili pepper transcription factor, is rapidly induced by incompatible plant pathogens. Mol Cells. 2006;22:58–64.

    CAS  PubMed  Google Scholar 

  55. Dang FF, Wang YN, Yu L, Eulgem T, Lai Y, Liu ZQ, Wang X, Qiu AL, Zhang TX, Lin J. CaWRKY40, a WRKY protein of pepper, plays an important role in the regulation of tolerance to heat stress and resistance to Ralstonia solanacearum infection. Plant Cell Environ. 2013;36:757–74.

    Article  CAS  PubMed  Google Scholar 

  56. Bull CT, De Boer SH, Denny TP, Firrao G, Saux MF, Saddler GS, Scortichini M, Stead DE, Takikawa Y. Comprehensive list of names of plant pathogenic bacteria, 1980-2007. J Plant Pathol. 2010;92:551–92.

    Google Scholar 

  57. Hasse CH. Pseudomonas citri, the cause of citrus canker. J Agric Res. 1915;4:97–100.

    Google Scholar 

  58. Chaney RL, Chen KY, Li YM, Angle JS, Baker AJM. Effects of calcium on nickel tolerance and accumulation in Alyssum species and cabbage grown in nutrient solution. Plant Soil. 2008;311:131–40.

    Article  CAS  Google Scholar 

  59. Fritschi FB, Ray JD. Soybean leaf nitrogen, chlorophyll content, and chlorophyll a/b ratio. Photosynthetica. 2007;45:92–8.

    Article  CAS  Google Scholar 

  60. Guan P, Wang J, Xie C, Wu C, Yang G, Yan K, Zhang S, Zheng C, Huang J. SES1 positively regulates heat stress resistance in Arabidopsis. Biochem Biophys Res Commun. 2019;513:582–8.

    Article  CAS  PubMed  Google Scholar 

  61. Langmead B, Salzberg SL. Fast gapped-read alignment with bowtie 2. Nat Methods. 2012;9:357–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Grabherr M, Haas BJ, Yassour M, Levin JZ, Thompson DA, Amit I, Adiconis X, Fan L, Raychowdhury R, Zeng Q. Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nat Biotechnol. 2011;29:644–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Robinson MD, Mccarthy DJ, Smyth GK. edgeR: a bioconductor package for differential expression analysis of digital gene expression data. Biogeosciences. 2010;26:139–40.

    CAS  Google Scholar 

  64. Klopfenstein DV, Zhang L, Pedersen BS, Ramirez F, Vesztrocy AW, Naldi A, Mungall CJ, Yunes JM, Botvinnik O, Weigel M. GOATOOLS A Python library for Gene Ontology analyses. Sci Rep. 2018;8:10872.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Xie C, Mao X, Huang J, Ding Y, Wu J, Dong S, Kong L, Gao G, Li C, Wei L. KOBAS 2.0: a web server for annotation and identification of enriched pathways and diseases. Nucleic Acids Res. 2011;39:316–22.

    Article  CAS  Google Scholar 

  66. Livak K, Schmittgen T. Analysis of relative gene expression data using real-time quantitative PCR and the 2-Ct method. Methods. 2001;25:402–8.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

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Funding

This work was supported by the National Natural Science Foundation of China (31700094 and 31770115), the National Key Research and Development Program of China (2017YFD0200804), the funds of Shandong “Double Tops” Program (SYL2017XTTD03), and the Key Field Research and Development Program of Guangdong Province (2019B020218009).

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Authors and Affiliations

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Contributions

BD, YD, and CW designed and supported the study. HL and YL performed the laboratory work and analyzed the data. HL and CW wrote and revised the manuscript. KG and KL advised on the manuscript. The authors read and approved the final manuscript.

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Correspondence to Chengqiang Wang or Yanqin Ding.

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Supplementary Information

Additional file 1.

Detailed statistics of reads mapping: Table S1 Mapping proportion statistics in RNA-seq of strain SC2, Table S2 Mapping proportion statistics in RNA-seq of peppers.

Additional file 2: Fig. S1

PCA analysis of samples based on the gene expression level (FPKM) in RNA-seq.

Additional file 3: Table S3

Annotation of differentially expressed genes in P. polymyxa SC2.

Additional file 4: Table S4

Annotation of differentially expressed genes in pepper.

Additional file 5: Fig. S2

Heatmap of DEGs in P. polymyxa SC2.

Additional file 6: Fig. S3

Heatmap of DEGs in pepper.

Additional file 7: Table S5

Primers for RT-qPCR.

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Liu, H., Li, Y., Ge, K. et al. Interactional mechanisms of Paenibacillus polymyxa SC2 and pepper (Capsicum annuum L.) suggested by transcriptomics. BMC Microbiol 21, 70 (2021). https://doi.org/10.1186/s12866-021-02132-2

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