Skip to main content

ORIGINAL RESEARCH article

Front. Plant Sci., 24 January 2022
Sec. Plant Pathogen Interactions

Soybean Hypocotyls Prevent Calonectria ilicicola Invasion by Multi-Layered Defenses

\r\nMichie KobayashiMichie KobayashiKhin Thuzar WinKhin Thuzar WinChang-Jie Jiang*\r\nChang-Jie Jiang*
  • Institute of Agrobiological Sciences, National Agriculture and Food Research Organization (NARO), Tsukuba, Japan

In plants, many pathogens infect a specific set of host organs to cause disease, yet the underlying mechanisms remain unclear. Here, we show that inoculation of soybean plants with Calonectria ilicicola, the soil-borne causal agent of soybean red crown rot, caused typical disease symptoms of root rot and leaf chlorosis and necrosis. However, the pathogen DNA was only detected in the roots and stem (hypocotyl) base but not other aerial parts of the plants. As we observed vigorous fungal growth in all culture media made of extracts from roots, stems, and leaves, differences in key components including available nutrients did not determine organ-specific infection and reproduction by C. ilicicola. Furthermore, inoculation of stems both with and without a surface wound showed that the stems resisted C. ilicicola infection via both the pre- and post-invasion defense layers. Transcriptomic comparison of roots and stems using RNA-seq analysis further revealed that upon C. ilicicola inoculation, a greater expression of genes involved in stress response was induced in the plant stems, including receptor-like kinase, AP2/ERF, MYB, and WRKY. In addition, pathways related to amino acid metabolism were also more upregulated in the stems in response to C. ilicicola infection. These results suggest that soybean stems provide C. ilicicola resistance, at least in part, by activating an organ-specific defense response.

Introduction

It is estimated that a plant is exposed to an average of 100 or more potential pathogens in the natural environment (Agrios, 1997). Some of these pathogens can infect all or most organs of their host plants, while others are more limited and cause disease in only one or a few specific organs or tissues, a phenomenon known as organ-specific or structural specific infection (Lacaze and Joly, 2020). For example, Sclerotinia sclerotiorum can infect most organs such as roots, leaves, stems, and the reproductive organs of sunflowers (Bolton et al., 2006). The blast fungus Magnaporthe oryzae, which generally infects foliar tissues, can also invade the roots of cereals (Dufresne and Osbourn, 2001; Marcel et al., 2010). In contrast, pathogens of powdery mildew disease only infect the epidermis of leaves and green shoots (Lynne, 2016). It remains largely unknown why some pathogens can infect the entire plant while others are restricted to specific organs.

It has been suggested that organ-specific infection is determined by organ-specific resistance in the host plant, such as differences in surface structure, accumulation of secondary metabolites and pathogenesis-related (PR) proteins, and induced resistance, as well as differences in the adaptability of phytopathogens to grow (Balmer and Mauch-Mani, 2013; Lacaze and Joly, 2020). In Arabidopsis, Hyaloperonospora arabidopsidis, which induces R-gene-mediated defense responses in leaves, can only infect roots (Hermanns et al., 2003). Interestingly, the R gene is expressed in both leaves and roots, indicating that different resistance systems operate downstream of the R gene in roots and leaves (Hermanns et al., 2003). In potato plants, quantitative trait locus (QTL) markers confirmed in foliar resistance to Phytophthora infestans are not correlated with tuber resistance (Mayton et al., 2010). In maize, Ustilago maydis, the fungal causal agent of smut disease, infects all aerial parts of the plant and locally induces tumor formation (Skibbe et al., 2010). Interestingly, U. maydis infection has been shown to induce organ-specific transcriptional changes in both the pathogen and the host (Skibbe et al., 2010). The repertoire of effector genes expressed in different tissues also varies, suggesting that these effectors may be involved in organ-specific infection (Skibbe et al., 2010). Schilling et al. (2014) analyzed 20 presumptive organ-specific U. maydis effector genes and showed that nine of them affected virulence only in one of the tested plant organs. Organ-specific infections have also been reported in non-host resistance. For example, Arabidopsis is generally a non-host for the rice blast fungus M. oryzae; however, two M. oryzae isolates (KJ201 and 70–15) were found to be able to infect the roots but not the leaves and stems of Arabidopsis with a pathogenic mechanism distinct from that in rice (Park et al., 2009). Interestingly, the fungal hyphae that grew toward the hypocotyl failed to cross the border between the root and hypocotyl tissue (Schreiber et al., 2011).

Red crown rot (RCR) in soybean is caused by the soil-borne pathogenic fungus Calonectria ilicicola (anamorph: Cylindrocladium parasiticum). C. ilicicola was first reported as Cylindrocladium black rot on peanuts in the United States in 1965 (Bell and Sobers, 1966), and was found to cause soybean RCR in Japan in 1968 (Krigsvold et al., 1977; Nishi, 1989). RCR causes defoliation and early plant maturity, resulting in yield loss and quality reduction (Roy et al., 1989; Akamatsu et al., 2020). The disease is more severe under clayey or flooding conditions. Yield losses were estimated at 25–30% in Mississippi (Roy et al., 1989), and losses of more than 50% were estimated when the susceptible cultivars were cultivated under humid conditions (Bell et al., 1973; Pataky et al., 1983; Berner et al., 1988; Padgett et al., 2015). Although some differences in RCR resistance have been observed among cultivars (Kim et al., 1998; Win and Jiang, 2021), no true resistance to RCR has been reported.

It has been found that some basal defense responses, such as periderm formation and vessel occlusion, are induced at the site of infection by C. ilicicola (Yamamoto et al., 2017), but the detailed infection mechanism remains unclear. C. ilicicola-infected soybean plants display typical symptoms of root rot from the early stages of seedling growth, leaf chlorosis (yellowing), and necrosis at the reproductive stages (Roy et al., 1989; Akamatsu et al., 2020). Leaf chlorosis can also be produced by applying culture filtrates of C. ilicicola (Kim et al., 2001) and PF1070A, a cyclic peptide consisting of four amino acids identified as a phytotoxin of the C. ilicicola fungus (Ochi et al., 2011). However, it is still unclear whether the disease symptoms in leaves are caused by C. ilicicola infection or by the transmission of the C. ilicicola-produced phytotoxin from roots to the aboveground parts of plants.

This study aimed to elucidate the organ-specificity of C. ilicicola infection and the underlying mechanisms in soybean plants. We show that C. ilicicola exclusively infects roots, whereas stems prevent infection by activating distinct defense mechanisms. Our findings have important implications for understanding pathogenic mechanisms of red crown rot and the immune system of soybean.

Materials and Methods

Plant Material and Growth Conditions

Seeds of the soybean cultivar Enrei were pre-conditioned in a moisture-saturated plastic box for 24–48 h at 25°C. The seeds were then sown in commercially available pre-fertilized and granulated soil (Nippi No. 1, Nippon Hiryo, Tokyo, Japan) in 65-mm2 plastic pots with a depth of 50 mm (180 ml) and a drainage hole. Five seeds were sown per pot, and the top of the pot was covered with a 2-mm layer of pre-fertilized peaty soil Supermix-A (Sakata Seed Corporation, Yokohama, Japan). Plants were then grown in a climate-controlled plant growth chamber (Nippon Light Metal Company, Ltd., Tokyo, Japan) under 16-h light conditions at 25°C and 50% relative humidity (RH). All the soils used in this study were autoclaved one day before seed-sowing to eliminate any effects from other soil pathogens.

Pathogen Culture and Inoculation

Calonectria ilicicola (isolate UH2-1) was kindly provided by Dr. Sunao Ochi (Research Center for Agricultural Information Technology, NARO, Japan), which was isolated from RCR-diseased soybean roots from Sasayama, Hyogo (Jiang et al., 2020). Fungal mycelia were grown on potato dextrose agar (PDA) plates at 25°C for 1–2 weeks or until fungal mycelial growth reached the edges of the Petri plates.

For soil inoculation, five to eight pieces (∼5-mm cubes) of PDA with vigorously growing C. ilicicola mycelia were placed in a 500-ml flask containing 200 g of wheat bran-vermiculite medium (wheat bran/vermiculite/water 1:1:3, w/w/v) and incubated at 26°C for 10–14 days until the fungal mycelia fully covered the medium (Ochi and Nakagawa, 2010). This culture was used as inoculum, and an inoculum-soil mixture was prepared by mixing the inoculum with Nippi No. 1 soil to generate a concentration of 1% (w/v). The soil mixture was then filled into large plastic pots (12 × 12 × 20 cm, 1,500 ml) into which five seeds were sown per pot as described above (Jiang et al., 2020). After 5 weeks of inoculation, three diseased plants were removed from the plant pots, and the following parts of each plant were sampled and measurement for relative fungal growth (Figure 1A): roots, stem base, stem (lower, middle, and upper portions), and leaves (first, second, and third trifoliate leaves).

FIGURE 1
www.frontiersin.org

Figure 1. (A) Typical disease symptoms of red crown rot in a diseased soybean plant. The photograph was taken 5 weeks after inoculation with Calonectria ilicicola (isolate UH2-1). Eight different parts (1–8) of from three diseased plants were sampled for measurement of relative fungal growth: (1) roots, (2) roots and stem base (Roots/stem-B), (3–5) lower (Stem-L), middle (Stem-M), and upper (Stem-U) portions of stem, and (6–8) first, second, and third trifoliate leaves. (B) Relative fungal growth in different parts of diseased soybean plants. Values are means ± SD, n = 3 plants. Different letters indicate significant differences (Turkey’s multiple comparison test, p < 0.01).

For direct inoculation of the roots and stems, 4-week-old soybean seedlings were removed from the pots and the roots were washed gently with running tap water to remove adhering soil. The seedlings were then placed in a moisture-saturated plastic box. C. ilicicola mycelia from the PDA plates were homogenized by passage through a syringe three times (agar inoculum), and then applied to a 5-mm-diameter spot on seven different plant parts: radical root, stem (lower, middle, and upper portions) and leaves (unifoliate, first and second trifoliate leaves) (Figure 2A).

FIGURE 2
www.frontiersin.org

Figure 2. Relative fungal growth in different parts of soybean plants. (A) Calonectria ilicicola was inoculated to a 5-mm-diameter spot on (1) radical root, (2–4) lower (Stem-L), middle (Stem-M), and upper (Stem-U) portions of stem, and (5–7) unifoliate (Uni. leaf), first and second trifoliate leaves (1st and 2nd leaf) of 4-week-old soybean plants. (B) Images of inoculated spots (white dotted circles) 6 days after inoculation. (C) Relative fungal growth (Ci-rDNA/Gm-b-Act1) in the inoculated parts of soybean plants. Values are means ± SD, n = 5 plants. Different letters indicate significant differences (Turkey’s multiple comparison test, p < 0.05).

For the inoculation of wounded organs, the surfaces of hypocotyls and radicle roots of 4-day-old soybean seedlings were cut longitudinally (5-mm length, 0.5-mm depth) with a needle, and the agar inoculum was then applied to the cut sites (Figure 4A). The inoculated seedlings (in the plastic box) were placed in a plant-growth chamber under 16-h light conditions for several days as indicated in the corresponding figures.

FIGURE 3
www.frontiersin.org

Figure 3. Growth of Calonectria ilicicola in culture media containing extracts from roots, stems, and leaves. Representative images (upper panel) and average mycelial growth (lower panel) were taken after 2 weeks of culturing. Different letters indicate significant differences (Turkey’s multiple comparison test, p < 0.05).

FIGURE 4
www.frontiersin.org

Figure 4. Relative fungal growth in roots and stems of soybean seedlings. (A) Illustration of method for direct inoculation of Calonectria ilicicola to the roots and stems. Agar inoculum was applied to a 5-mm diameter spot on the radical roots and stems (hypocotyl) of 4-day-old seedlings with or without wounding. (B,C) Relative fungal growth (Ci-rDNA/Gm-β-Actin) in non-wounded (B) and wounded (C) roots and stems. Asterisks indicate significant differences (non-parametric t-test, *, p < 0.05; **, p < 0.01).

The agar inoculum was removed from the plant tissue surfaces by brushing under running tap water, and 10-mm long/diameter sections of the plants, including the inoculated spots, were sampled for measuring relative fungal growth. Homogenized PDA without mycelium was used for mock inoculation, and three replicates of four seedlings were used for each inoculation.

Preparation of Soybean Extract Culture Media

Three-week-old soybean seedlings were removed from the plant pots, and their roots, stems, and leaves were cut off. The roots were washed gently with running tap water to remove adhering soil. Two grams of each sample were frozen and ground to powder in liquid nitrogen with a pestle and mortar, and suspended in 100 ml of distilled water (2% extract) in a 300-ml flask. After adding Bacto-Agar (1.5 g) (Difco Laboratories, Detroit, MI, United States), the flask was autoclaved and the soybean extract culture media poured into sterile Petri dishes and allowed to set at room temperature. Five plates of each medium were inoculated with a small mycelial plug on the plate center, and then incubated at 25°C for 2 weeks. The fungal growth rate was represented as the colony diameter (cm).

Measurement of Calonectria ilicicola Accumulation by Quantitative Real-Time Polymerase Chain Reaction

Relative fungal growth was measured by quantitative real-time polymerase chain reaction (qPCR). All measurements were performed with three biological replicates, and each replicate consisted of five plants. Genomic DNA was extracted from plant tissues using MagExtractor (Toyobo, Osaka, Japan) following the manufacturer’s instructions. Real-time PCR was run on a Thermal Cycler Dice TP800 system (Takara Bio Inc., Otsu, Japan) using SYBR premix Ex Taq mixture (Takara) with cycles of 95°C for 5 s, 55°C for 20 s, and 72°C for 20 s. Three technical replicates were used for each biological replicate sample. The PCR primers used were as follows: (1) primers targeting the intergenic spacer region of the C. ilicicola rDNA, CiIGSF (forward) = 5′-TCCATTGCCTCTATTTATCCTGC-3′, and CiIGSR (reverse) = 5′-GCGTAAAGATTTTCCAACCCG-3′ (Ochi and Kuroda, 2021); (2) primers for soybean β-Actin gene (Gm-β-Actin; Glyma.15G050200), Gm-β-ActinF (forward) = 5′-GAGCTATGAATTGCCTGATGG-3′, and Gm-β-ActinR (reverse) = 5′-CGTTTCATGAATTCCAGTAGC-3′ (Sugano et al., 2013). Relative fungal growth was expressed as C. ilicicola rDNA amplification folds relative to the host actin gene amplification (Jiang et al., 2020).

RNA-Seq Analysis

Total RNA from mock and C. ilicicola-infected radicle roots and stems (non-wounded) was extracted using the RNeasy Plant Mini Kit (Qiagen) following the manufacturer’s instructions. The Illumina NovaSeq platform was used for RNA-Seq. cDNA library construction and sequencing were performed by Takara Bio Inc. (Japan).

Differential expression analysis was performed using the HISAT2-featureCounts-edgeR pipeline. HISAT2 (Kim et al., 2015) was used to align the generated reads to the Phytozome13 Glycine max Wm82.a2.v1 reference genome (Schmutz et al., 2010). We then used featureCounts (Liao et al., 2014) for quantification and edgeR (Robinson et al., 2009) for differential analysis (FDR < 0.05). The consistency among replicate samples was analyzed by multidimensional scaling (MDS) plot using edgeR (Supplementary Figure 1). Gene ontology (GO) enrichment analysis was performed using agriGO v2.0 (Tian et al., 20171) with the Plant GO Slim option (FDR < 0.05). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed using DAVID functional annotation tool (Huang et al., 20092).

The raw data of RNA-Seq has been deposited to NCBI BioProject database with the accession no PRJNA781415.

Gene Expression Analysis

A 500 ng of total RNA was reverse transcribed to cDNA using ReverTra Ace (Toyobo, Osaka, Japan) according to the manufacturer’s instructions. Quatitative reverse trascription-PCR (qRT-PCR) was performed using soybean β-Actin gene (Gm-β-Actin; Glyma.15G050200) as an internal reference for normalization (Sugano et al., 2013). The primer sequences used for qRT-PCR are listed in Supplementary Table 1.

Experimental Design and Statistical Analysis

All experiments were conducted with three replicates, each consisting of five plants per pot. Analysis of variance (ANOVA) was performed for all measurements using the Statistical Tool for Agriculture Research (STAR) Version 2.0.1 (International Rice Research Institute, Philippines).

Results

Calonectria ilicicola Was Detected Exclusively in the Roots

Calonectria ilicicola inoculation at seed sowing resulted in severe root rot during the early growth stages of soybean plants, followed by the appearance of brown necrosis on the lower leaves and yellow chlorosis in the upper leaves (Figure 1). Real-time PCR analysis of ribosomal DNA (rDNA) of C. ilicicola in eight different parts of the diseased soybean plants detected the pathogen DNA only in the roots and stem base but not in the stem (lower, middle, and upper portions) or leaves (first, second, and third trifoliate leaves) (Figure 1).

We questioned whether the absence of C. ilicicola in non-root organs was simply due to their physical isolation from the inoculum or, alternatively, the non-root organs could actively protect themselves from infection. To clarify this, we inoculated seven different parts of soybean plants by directly applying the agar inoculum of C. ilicicola culture: (1) radical root, (2–4) lower (Stem-L), middle (Stem-M) and upper (Stem-U) portions of stem, and (5–7) unifoliate (Uni. leaf), first and second trifoliate leaves (1st and 2nd leaf) of 4-week-old soybean plants (Figure 2A). Six days after inoculation (dpi), a reddish infectious lesion on the roots and some small black lesions on unifoliate leaves were observed (Figure 2B). The qPCR measurement detected C. ilicicola mainly in the roots and a small amount in the unifoliate leaves (Figure 2C). No appreciable C. ilicicola growth was detected in stem and trifoliate leaves (Figure 2C).

Calonectria ilicicola Showed a Vigorous Growth in Culture Media Containing Different Organ Extracts

To test the possibility that organs other than roots are nutritionally unfavorable for fungal growth, C. ilicicola was grown in culture media containing extracts from roots, stems, and leaves. As shown in Figure 3, the fungus showed vigorous growth in all the extract media, although approximately 6 and 10% reductions in growth were observed in stem and leaf extracts, respectively, compared to the root extract. The C. ilicicola mycelia fully covered the extract media in 2 weeks, which was comparable to that in PDA.

Stems Resisted Calonectria ilicicola Infection at Both Pre- and Post-invasion Defense Layers

To get some insights into the mechanisms of resistance to C. ilicicola in stems (Figures 1, 2), we applied the agar inoculum to the radicle roots and stems (hypocotyls) of 4-day-old soybean seedlings (Figure 4A). As a result, a significant fungal growth was observed in the roots from 1 dpi and increased at 2–3 dpi (Figure 4B). In contrast, in the stems, fungal growth was detected only in trace amounts at 1–3 dpi (Figure 4B). These results indicate that the stems were capable of repelling C. ilicicola infection at pre-invasion levels.

Plants have evolved multiple layers of defense to protect themselves from various pathogen attacks, and the physical and chemical barriers on their surfaces are considered the first layer of defense. To address whether soybean stems can self-protect beyond this surface defense layer, the surfaces of the roots and stems of the seedlings were experimentally wounded and then inoculated with the agar paste of the C. ilicicola culture (Figure 4A). C. ilicicola growth was subsequently observed in both the roots and stems at 1 dpi and then increased until the end of the experiment at 7 dpi (Figure 4C). More fungal growth was detected at 1–3 dpi in the wounded seedlings than under the non-wounded inoculation conditions (Figure 4B). There was no significant difference in fungal growth between roots and stems at 2 dpi; however, it became evident that the fungal growth in roots was significantly greater than that in stems from 3 dpi onward (Figure 4C). These results suggest that soybean stems can also combat C. ilicicola infection at the post-invasion level.

Stems Showed a Stronger Immune Response to Calonectria ilicicola Infection

Total RNA-seq analysis was performed to analyze the transcriptome in the roots and stems. Multidimensional scaling (MDS) plot of RNA-seq data showed a clear separation into four subgroups (the roots and stem with or without C. ilicicola inoculation) (Supplementary Figure 1), indicating significant differences in the global gene expression profiles between the roots and stems in response to C. ilicicola infection. Furthermore, the transcriptome data from RNA-seq was validated by qRT-PCR expression analysis of 10 selected DEGs (Supplementary Table 1). Based on the log2 fold-change of these genes, the RNA-seq data showed a significant linear correlation with the qRT-PCR results (Pearson coefficient R2 = 9667, P < 0.01) (Supplementary Figures 2, 3), indicating a good accordance between the two measurements.

RNA-seq analysis identified 3,681 and 3,763 differentially expressed genes (DEGs) in stems and roots, respectively, whose expression changed more than twofold in response to C. ilicicola infection. A comparison of these DEGs between stems and roots showed that 1,825 and 1,186 DEGs were upregulated, and 1,856 and 2,577 DEGs were downregulated, in stems and roots, respectively (Figure 5A and Supplementary Table 2). In addition, 456 and 612 DEGs were upregulated and downregulated in the stems and roots, respectively (Figure 5A). GO enrichment analysis by Plant GO Slim showed that 22 terms were enriched in the genes upregulated in the stems, which contrasted with six terms in the roots. Among the downregulated genes, seven terms were enriched in the stems and 16 terms were enriched in the roots (Figure 5B).

FIGURE 5
www.frontiersin.org

Figure 5. Differentially expressed genes (DEGs) in stems and roots inoculated with Calonectria ilicicola at 24 h post-inoculation (hpi). (A) Venn diagram showing the number of significant DEGs (FDR < 0.05, >twofold) and shared genes in stems and roots. (B) GO term enrichment analysis of identified DEGs. The horizontal axis shows the number of genes classified into each GO term. (C) KEGG pathway enrichment analysis of identified DEGs.

Among the GO terms enriched in upregulated genes in the stems, many genes overlapped in the categories of “multi-organism process,” “reproduction,” “pollination,” “reproductive process,” “pollen-pistil interaction,” and “multicellular organismal process”; and 21 genes for receptor-like kinases annotated to receptor kinase or S-locus protein kinase were common to all of these categories (Supplementary Tables 3, 4). In addition, many genes overlapped in the categories “protein modification process,” “macromolecule modification,” and “kinase activity”; and 133 genes were common to all of these categories. Many of these genes encode proteins that are annotated to receptors, such as receptor-like kinases and LRR kinases (Supplementary Tables 3, 5). Notably, the number of upregulated genes annotated as receptor-like proteins (Supplementary Table 2) was higher in stems than in roots (Figure 6A).

FIGURE 6
www.frontiersin.org

Figure 6. Number genes of receptor-like proteins (A) and AP2/ERF, GRAS, MYB, and WRKY transcription factors (B) up- and (C) downregulated in response to Calonectria ilicicola infection in stems and roots.

Gene ontology terms related to transcription regulation, such as “transcription regulator activity” and “transcription factor activity,” were enriched for both up- and downregulated genes in the stems in contrast to only downregulated genes in the roots (Figures 6B,C). Of particular interest was that more genes involved in stress response, such as AP2/ERF, GRAS, MYB, and WRKY, were upregulated in the stems (Figure 6B and Supplementary Table 2) while downregulated in the roots (Figure 6C and Supplementary Table 2).

Kyoto Encyclopedia of Genes and Genomes pathway analysis indicated that the most abundant DEGs were enriched in “Metabolic pathway” and “Biosynthesis secondary metabolites” in both the roots and stems (Figure 5C and Supplementary Table 6). Of particular interest, the upregulated DEGs were also enriched in pathways related to amino acid metabolism: four items in stems, including “cysteine and methionine metabolism,” “alanine, aspartate, and glutamate,” “glycine, serine, and threonine metabolism,” and “arginine biosynthesis” DESs; and two items in the roots, including “phenylalanine metabolism” and “tyrosine metabolism” (Figure 5C and Supplementary Table 6).

Discussion

We showed that C. ilicicola mainly colonized the roots and not the other aerial parts of soybean plants (Figure 1). This observation demonstrates a strong natural tendency of this pathogen to infect specific organs. The root-colonized fungal hyphae likely invaded the hypocotyl tissue to some extent, but it was strictly restricted within the stem base (Figure 1). Direct inoculation of C. ilicicola to different parts of soybean plants confirmed that C. ilicicola mainly infects the roots (Figure 2). A small amount of C. ilicicola was also detected in the old unifoliate leaves, which may be associated with programmed cell death during leaf aging and senescence. Cell death can cause tissue damage and nutrient leakage and thus benefit pathogen growth (Zhang et al., 2020). Taken together, these results suggest that the stem (hypocotyl) and other aboveground organs are equipped with strong defense mechanisms against C. ilicicola. Furthermore, our results revealed that the stems provide both pre- and post-invasion defense layers (Figure 4) involving defense mechanisms that are distinct from the roots (Figures 5, 6).

The infection of soybean seedlings by C. ilicicola caused typical symptoms of chlorosis and necrosis in leaves in addition to root rot (Figure 1). However, no pathogen DNA was detected in diseased leaves. This result indicates that leaf symptoms are caused by factors other than the direct infection and proliferation of C. ilicicola. One possible explanation may come from the previous studies of Kim et al. (2001) and Ochi et al. (2011), who showed that the disease symptoms in leaves can be reproduced by the application of phytotoxic compounds from the culture filtrate of C. ilicicola. These results, together with ours, suggest that the symptoms observed in aboveground organs may be ascribed to the distal transmission of C. ilicicola phytotoxins from the infected roots, causing chlorotic and necrotic cell death. In contrast, the fungal pathogen Fusarium oxysporum, the root-infecting causal agent of wilt disease in several plant species, first colonizes the roots and then spreads to the leaves, where it causes disease symptoms (Lyons et al., 2015).

It has been reported that there are significant differences in nutrients and antimicrobial compounds between different plant organs, which may correlate with organ-specific infections. Analysis of soluble aromatic compounds in extracts from Arabidopsis roots and leaves revealed that flavanol glycosides and sinapoyl esters—the most abundant soluble phenylpropanoids in leaves—were absent in roots, whereas roots contained three prominent phenylpropanoids (coniferin, syringing, and scopolin) not found in leaves (Bednarek et al., 2005). Constitutive accumulation of antimicrobial compounds is a type of preformed defense system in plants, and their distribution, is often tissue-specific (Osbourn, 1996). In our study, we observed some differences in fungal growth among the extracts, with the highest growth rate in the root extract, which may account for the differential infection between the roots and other organs. However, this minor difference is unlikely to explain the exclusive organ-specific infection and proliferation in the roots.

In contrast to vigorous fungal growth in the roots, direct inoculation of C. ilicicola to the radicle root and stem resulted in almost no fungal growth in stems (Figure 4B). On the other hand, the wounded stems allowed fungal growth to some extent but were suppressed to a significantly lower level compared to the radicle roots (Figure 4C). This suggests that stems protect themselves from fungal invasion at both the pre- and post-invasion levels. It is plausible that the cuticular layers of stems serve as the first physical barrier to pre-invasion by C. ilicicola. The cuticular layer is formed only in the aboveground parts of plants and at the root tips (Berhin et al., 2019). It has been reported that the fungal pathogen Nectria haematococca (anamorph: Fusarium solani f. sp. pisi) typically infects the roots of peas and not the leaves, but can infect leaves when plants are wounded (Schäfer and Yoder, 1994). Similarly, in the interaction between Phytophthora palmivora and barley, leaves can be infected when they are wounded (le Fevre et al., 2016). Our observation of C. ilicicola resistance in the wounded stems of soybean suggests a strong defense response even after penetration of the fungus into the stem tissues.

It has been reported that different organs have different responses to defense signals. Badri et al. (2008) reported that treatment of Arabidopsis roots with defense-related plant hormones, such as salicylic acid and methyl jasmonate, induced a different set of genes compared to the leaves. In rice roots inoculated with M. oryzae, defense-related genes involved in leaves were transiently induced by infection, but their expression was subsequently suppressed (Marcel et al., 2010). In our study, the soybean stems exhibited a transcription profile apparently distinct from the roots in response to C. ilicicola infection, which may make a crucial contribution to the stem defense (Figure 5). Notably, the expression of genes involved in stress response, such as receptor-like genes and transcription factors including AP2/ERF, GRAS, MYB, and WRKY, was highly increased in the stems compared to the roots (Figure 6). AP2/ERF is a transcription factor involved in ethylene signaling. By activating defense responses, it has been reported that pre-treatment of soybean with ethephon, which is metabolized into ethylene in plants, enhances resistance to root and stem rot caused by Phytophthora sojae (Sugano et al., 2013) as well as sudden death syndrome caused by soil-borne Fusarium virguliforme (Abdelsamad et al., 2019). The GRAS family encodes plant-specific transcription factors, and CIGR1 and GIGR2, the GRAS genes from rice, are rapidly induced by the N-acetylchitooligosaccharide elicitor (Day et al., 2003). Overexpression of the poplar GRAS gene, PeSCL7, which is induced by high salt and drought stress, results in drought and salt tolerance in Arabidopsis (Ma et al., 2010). Some MYB transcription factors have also been shown to positively (Yi et al., 2010; Chu et al., 2017) or negatively (Liu et al., 2013; Yan et al., 2015) regulate isoflavonoid biosynthesis in soybean. WRKY is a superfamily of transcription factors that play multiple roles in plant physiological processes, including biotic (Eulgem et al., 2000) and abiotic (Zhou et al., 2008; Dong et al., 2019) stress responses in soybean. Induction of defense responses is triggered by the sensing of pathogen invasion by receptors such as pattern-recognition receptors (PRRs) and nucleotide-binding domain leucine-rich repeat proteins (NLRs). Organ-specific expression has been reported in both PRRs (Bartels et al., 2013; Ahmadi et al., 2016) and NLRs (Park et al., 2005; Gao and Bradeen, 2016). In the case of the soybean–C. ilicicola interaction, it is tempting to speculate that fungal invasion is perceived by these receptors in the stem, which in turn activates defense responses that include ethylene signaling pathways.

The KEGG pathway analysis revealed an enrichment of upregulated DEGs in pathways related to amino acid metabolism: four items for nine amino acids (cysteine, methionine, alanine, aspartate, glutamate, glycine, serine, threonine, and arginine) in stems, and two items for two amino acids (phenylalanine and tyrosine) in the roots, respectively (Figure 5C). These results suggest that amino acid metabolism may play important roles in response to C. ilicicola in soybean plants. Amino acids are in fact precursors of many defense-related phytoalexins, so their metabolism has a profound impact on the plant immune system (Zeier, 2013; Qiu et al., 2020; Sun et al., 2020). In support, recent studies have shown that exogenous applications of glutamate (Kadotani et al., 2016; Yang et al., 2020), histidine (Seo et al., 2016; Yariyama et al., 2019), and lysine (Liu et al., 2021) enhanced disease resistance in various plant species. In soybean, it has been reported that foliar application of cysteine, glutamate, and threonine significantly reduced the disease severity of bacterial pustule caused by Xanthomonas citri pv. glycines (Pluemjit et al., 2020).

Conclusion

We have reported the organ-specific infection and reproduction of C. ilicicola on soybean roots. The fungus grew well on media made from roots, stems, or leaves, indicating that differences in key components among organs, such as nutrients, are not the cause of organ-specific infection. Transcriptome analysis revealed a high expression of stress-response and amino acid metabolism genes in the plant stems upon C. ilicicola infection. Thus, our results suggest that stems prevent C. ilicicola infection by activating an organ-specific defense response. It remains to be elucidated how stems sense and exploit specific defense mechanisms to prevent C. ilicicola invasion, on which further research is important not only to better understand pathogenetic mechanisms but also for the development of novel genes for disease resistance.

Data Availability Statement

The original contributions presented in the study are publicly available. This data can be found here: National Center for Biotechnology Information (NCBI) BioProject database under accession number PRJNA781415.

Author Contributions

C-JJ designed the study. KW and MK performed the experiments and data analyses. MK and C-JJ wrote the manuscript. All authors have read, reviewed, and agreed to the submission of the manuscript.

Funding

This research was supported by the Research Program on Development of Innovative Technology Grants from the Project (01012 B) of the Bio-oriented Technology Research Advancement Institution (BRAIN).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We would like to acknowledge the technical assistance of Mio Masuko and Miyuki Ishikawa, and Editage (www.editage.com) for English language editing.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2021.813578/full#supplementary-material

Footnotes

  1. ^ http://systemsbiology.cau.edu.cn/agriGOv2/
  2. ^ https://david.ncifcrf.gov/home.jsp

References

Abdelsamad, N. A., MacIntosh, G. C., and Leandro, L. F. S. (2019). Induction of ethylene inhibits development of soybean sudden death syndrome by inducing defense-related genes and reducing Fusarium virguliforme growth. PLoS One 2019:14. doi: 10.1371/journal.pone.0215653

PubMed Abstract | CrossRef Full Text | Google Scholar

Agrios, G. N. (1997). Plant Pathology, 4th Edn. San Diego, CA: Academic Press.

Google Scholar

Ahmadi, B., Masoomi-Aladizgeh, F., Shariatpanahi, M. E., Azadi, P., and Keshavarz-Alizadeh, M. (2016). Molecular characterization and expression analysis of SERK1 and SERK2 in Brassica napus L.: implication for microspore embryogenesis and plant regeneration. Plant Cell Rep. 35, 185–193. doi: 10.1007/s00299-015-1878-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Akamatsu, H., Fujii, N., Saito, T., Sayama, A., Matsuda, H., Kato, M., et al. (2020). Factors affecting red crown rot caused by Calonectria ilicicola in soybean cultivation. J. Gen. Plant Pathol. 86, 363–375.

Google Scholar

Badri, D. V., Loyola-Vargas, V. M., Du, J., Stermitz, F. R., Broeckling, C. D., Iglesias-Andreu, L., et al. (2008). Transcriptome analysis of Arabidopsis roots treated with signaling compounds: a focus on signal transduction, metabolic regulation and secretion. New Phytol. 179, 209–223. doi: 10.1111/j.1469-8137.2008.02458.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Balmer, D., and Mauch-Mani, B. (2013). More beneath the surface? Root versus shoot antifungal plant defenses. Front. Plant Sci. 4:256. doi: 10.3389/fpls.2013.00256

PubMed Abstract | CrossRef Full Text | Google Scholar

Bartels, S., Lori, M., Mbengue, M., van Verk, M., Klauser, D., Hander, T., et al. (2013). The family of Peps and their precursors in Arabidopsis: differential expression and localization but similar induction of pattern-triggered immune responses. J. Exp. Bot. 64, 5309–5321. doi: 10.1093/jxb/ert330

PubMed Abstract | CrossRef Full Text | Google Scholar

Bednarek, P., Schneider, B., Svatoš, A., Oldham, N. J., and Hahlbrock, K. (2005). Structural complexity, differential response to infection, and tissue specificity of indolic and phenylpropanoid secondary metabolism in Arabidopsis roots. Plant Physiol. 138, 1058–1070. doi: 10.1104/pp.104.057794

PubMed Abstract | CrossRef Full Text | Google Scholar

Bell, D. K., Locke, B. J., and Thompson, S. S. (1973). The status of Cylindrocladium black rot of peanut in Georgia since its discovery in 1965. Plant Dis. Rep. 57, 90–94.

Google Scholar

Bell, D. K., and Sobers, E. K. (1966). A peg, pod, and root necrosis of peanuts caused by a species of Calonectria. Phytopathology 56, 1361–1364.

Google Scholar

Berhin, A., de Bellis, D., Franke, R. B., Buono, R. A., Nowack, M. K., and Nawrath, C. (2019). The root cap cuticle: a cell wall structure for seedling establishment and lateral root formation. Cell 176, 1367–1378. doi: 10.1016/j.cell.2019.01.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Berner, D. K., Berggren, G. T., Snow, J. P., and White, E. P. (1988). Distribution and management of red crown rot of soybean in Louisiana. Appl. Agric. Res. 3, 160–166.

Google Scholar

Bolton, M. D., Thomma, B. P. H. J., and Nelson, B. D. (2006). Sclerotinia sclerotiorum (Lib.) de Bary: biology and molecular traits of a cosmopolitan pathogen. Mol. Plant Pathol. 7, 1–16. doi: 10.1111/j.1364-3703.2005.00316.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Chu, S., Wang, J., Zhu, Y., Liu, S., Zhou, X., Zhang, H., et al. (2017). An R2R3-type MYB transcription factor, GmMYB29, regulates isoflavone biosynthesis in soybean. PLoS Genet. 13:e1006770. doi: 10.1371/journal.pgen.1006770

PubMed Abstract | CrossRef Full Text | Google Scholar

Day, R. B., Shibuya, N., and Minami, E. (2003). Identification and characterization of two new members of the GRAS gene family in rice responsive to N-acetylchitooligosaccharide elicitor. Biochim. Biophys. Acta 1625, 261–268. doi: 10.1016/S0167-4781(02)00626-7

CrossRef Full Text | Google Scholar

Dong, H., Tan, J., Li, M., Yu, Y., Jia, S., Zhang, C., et al. (2019). Transcriptome analysis of soybean WRKY TFs in response to Peronospora manshurica infection. Genomics 111, 1412–1422. doi: 10.1016/j.ygeno.2018.09.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Dufresne, M., and Osbourn, A. E. (2001). Definition of tissue-specific and general requirements for plant infection in a phytopathogenic fungus. Mol. Plant Microbe Interact. 14, 300–307.

Google Scholar

Eulgem, T., Rushton, P. J., Robatzek, S., and Somssich, I. E. (2000). The WRKY superfamily of plant transcription factors. Trends Plant Sci. 5, 199–206.

Google Scholar

Gao, L., and Bradeen, J. M. (2016). Contrasting potato foliage and tuber defense mechanisms against the late blight pathogen Phytophthora infestans. PLoS One 11:e0159969. doi: 10.1371/journal.pone.0159969

PubMed Abstract | CrossRef Full Text | Google Scholar

Hermanns, M., Slusarenko, A. J., and Schlaich, N. L. (2003). Organ-specificity in a plant disease is determined independently of R gene signaling. Mol. Plant Microbe Interact. 16, 752–759.

Google Scholar

Huang, D. W., Sherman, B. T., and Lempicki, R. A. (2009). Systematic and integrative analysis of large gene lists using DAVID Bioinformatics Resources. Nat. Protoc. 4, 44–57.

Google Scholar

Jiang, C. J., Sugano, S., Ochi, S., Kaga, A., and Ishimoto, M. (2020). Evaluation of Glycine max and Glycine soja for resistance to Calonectria ilicicola. Agronomy 10:887. doi: 10.3390/agronomy10060887

CrossRef Full Text | Google Scholar

Kadotani, N., Akagi, A., Takatsuji, H., Miwa, T., and Igarashi, D. (2016). Exogenous proteinogenic amino acids induce systemic resistance in rice. BMC Plant Biol. 16, 1–10.

Google Scholar

Kim, D., Langmead, B., and Salzberg, S. L. (2015). HISAT: a fast spliced aligner with low memory requirements. Nat. Methods 12, 357–360. doi: 10.1038/nmeth.3317

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, K. D., Russin, J. S., and Snow, J. P. (1998). Susceptibility to Calonectria ilicicola in soybean grown in greenhouse and field. Korean J. Crop Sci. 43, 239–244.

Google Scholar

Kim, K. D., Russin, J. S., Snow, J. P., and Damann, K. E. (2001). Toxic culture filtrates produced by Calonectria ilicicola, causal agent of red crown rot of soybean. Phytoparasitica 29, 115–123.

Google Scholar

Krigsvold, D. T., Garren, K. H., and Griffin, G. J. (1977). Importance of peanut field cultivation and soybean cropping in the spread of Cylindrocladium crotalariae within and among peanut fields. Plant Dis. Rep. 61, 495–499.

Google Scholar

Lacaze, A., and Joly, D. L. (2020). Structural specificity in plant–filamentous pathogen interactions. Mol. Plant Pathol. 21, 1513–1525. doi: 10.1111/mpp.12983

PubMed Abstract | CrossRef Full Text | Google Scholar

le Fevre, R., O’Boyle, B., Moscou, M. J., and Schornack, S. (2016). Colonization of barley by the broad-host hemibiotrophic pathogen Phytophthora palmivora uncovers a leaf development-dependent involvement of Mlo. Mol. Plant Microbe Interact. 29, 385–395. doi: 10.1094/MPMI-12-15-0276-R

PubMed Abstract | CrossRef Full Text | Google Scholar

Liao, Y., Smyth, G. K., and Shi, W. (2014). featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics 30, 923–930. doi: 10.1093/bioinformatics/btt656

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, X., Yuan, L., Xu, L., Xu, Z., Huang, Y., He, X., et al. (2013). Over-expression of GmMYB39 leads to an inhibition of the isoflavonoid biosynthesis in soybean (Glycine max. L). Plant Biotechnol. Rep. 7, 445–455. doi: 10.1007/s11816-013-0283-2

CrossRef Full Text | Google Scholar

Liu, Y., Li, Y., Bi, Y., Jiang, Q., Mao, R., Liu, Z., et al. (2021). Induction of defense response against Alternaria rot in Zaosu pear fruit by exogenous L-lysine through regulating ROS metabolism and activating defense-related proteins. Postharvest Biol.Technol. 179:111567.

Google Scholar

Lynne, B. (2016). “Pathogens of Autotrophs,” in The Fungi, eds S. C. Watkinson, L. Boddy, and N. P. Money (Cambridge, MA: Academic Press), 245–292. doi: 10.1016/B978-0-12-382034-1.00008-6

CrossRef Full Text | Google Scholar

Lyons, R., Stiller, J., Powell, J., Rusu, A., Manners, J. M., and Kazan, K. (2015). Fusarium oxysporum triggers tissue-specific transcriptional reprogramming in Arabidopsis thaliana. PLoS One 10:e0121902. doi: 10.1371/journal.pone.0121902

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, H. S., Liang, D., Shuai, P., Xia, X. L., and Yin, W. L. (2010). The salt-and drought-inducible poplar GRAS protein SCL7 confers salt and drought tolerance in Arabidopsis thaliana. J. Exp. Bot. 61, 4011–4019. doi: 10.1093/jxb/erq217

PubMed Abstract | CrossRef Full Text | Google Scholar

Marcel, S., Sawers, R., Oakeley, E., Angliker, H., and Paszkowski, U. (2010). Tissue-adapted invasion strategies of the rice blast fungus Magnaporthe oryzae. Plant Cell 22, 3177–3187. doi: 10.1105/tpc.110.078048

PubMed Abstract | CrossRef Full Text | Google Scholar

Mayton, H., Griffiths, H., Simko, I., Cheng, S., Lorenzen, J., de Jong, W., et al. (2010). Foliar and tuber late blight resistance in a Solanum tuberosum breeding population. Plant Breed. 129, 197–201. doi: 10.1111/j.1439-0523.2009.01671.x

CrossRef Full Text | Google Scholar

Nishi, K. (1989). Present situation on Calonectria root rot of soybean (in Japanese). J. Agric. Sci. 44, 70–75.

Google Scholar

Ochi, S., and Kuroda, T. (2021). Developing a qPCR assay for the quantification of Calonectria ilicicola in soil of soybean field. Trop. Plant Pathol. 46, 186–194. doi: 10.1007/s40858-020-00399-w

CrossRef Full Text | Google Scholar

Ochi, S., and Nakagawa, A. (2010). A simple method for long-term cryopreservation of Calonectria ilicicola on barley grains. J. Gen. Plant Pathol. 76, 112–115.

Google Scholar

Ochi, S., Yoshida, M., Nakagawa, A., and Natsume, M. (2011). Identification and activity of a phytotoxin produced by Calonectria ilicicola, the causal agent of soybean red crown rot. Can. J. Plant Pathol. 33, 347–354. doi: 10.1080/07060661.2011.593558

CrossRef Full Text | Google Scholar

Osbourn, A. E. (1996). Preformed antimicrobial compounds and plant defense against fungal attack. Plant Cell 8, 1821–1831.

Google Scholar

Padgett, G. B., Kuruppu, P. U., and Russin, J. S. (2015). “Red crown rot,” in Compendium of Soybean Diseases and Pest, eds G. L. Artman, J. C. Rupe, E. J. Sikora, L. L. Domier, J. A. Davis, and K. L. Steffey (St. Paul, MN: The American Phytopathological Society Press), 79–80.

Google Scholar

Park, J. Y., Jin, J., Lee, Y. W., Kang, S., and Lee, Y. H. (2009). Rice blast fungus (Magnaporthe oryzae) infects Arabidopsis via a mechanism distinct from that required for the infection of rice. Plant Physiol. 149, 474–486. doi: 10.1104/pp.108.129536

PubMed Abstract | CrossRef Full Text | Google Scholar

Park, T. H., Vleeshouwers, V. G. A. A., Kim, J. B., Hutten, R. C. B., and Visser, R. G. F. (2005). Dissection of foliage and tuber late blight resistance in mapping populations of potato. Euphytica 143, 75–83. doi: 10.1007/s10681-005-2658-0

CrossRef Full Text | Google Scholar

Pataky, J. K., Beute, M. K., Wynne, J. C., and Carlson, G. A. (1983). Peanut yield, market quality and value reductions due to Cylindrocladium black rot. Peanut Sci. 10, 62–66. doi: 10.3146/i0095-3679-10-2-5

CrossRef Full Text | Google Scholar

Pluemjit, N., Sripo-ngam, S., Khwanbua, E., and Chatnaparat, T. (2020). Role of Amino Acid Cysteine in the Suppression of Xanthomonas citri pv. glycines Bacterial Pustule Disease of Soybean. CMU J. Nat. Sci. 19:833.

Google Scholar

Qiu, X. M., Sun, Y. Y., Ye, X. Y., and Li, Z. G. (2020). Signaling role of glutamate in plants. Front. Plant Sci. 10:1743.

Google Scholar

Robinson, M. D., McCarthy, D. J., and Smyth, G. K. (2009). edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139–140. doi: 10.1093/bioinformatics/btp616

PubMed Abstract | CrossRef Full Text | Google Scholar

Roy, K. W., McLean, K. S., Lawrence, G. W., Patel, M. V., and Moore, W. F. (1989). First report of red crown rot on soybeans in Mississippi. Plant Dis. 73:273. doi: 10.1094/PD-73-0273F

CrossRef Full Text | Google Scholar

Schäfer, W., and Yoder, O. C. (1994). Organ specificity of fungal pathogens on host and non-host plants. Physiol. Mol. Plant Pathol. 45, 211–218.

Google Scholar

Schilling, L., Matei, A., Redkar, A., Walbot, V., and Doehlemann, G. (2014). Virulence of the maize smut Ustilago maydis is shaped by organ-specific effectors. Mol. Plant Pathol. 15, 780–789. doi: 10.1111/mpp.12133

PubMed Abstract | CrossRef Full Text | Google Scholar

Schmutz, J., Cannon, S. B., Schlueter, J., Ma, J., Mitros, T., Nelson, W., et al. (2010). Genome sequence of the palaeopolyploid soybean. Nature 463, 178–183. doi: 10.1038/nature08670

PubMed Abstract | CrossRef Full Text | Google Scholar

Schreiber, C., Slusarenko, A. J., and Schaffrath, U. (2011). Organ identity and environmental conditions determine the effectiveness of nonhost resistance in the interaction between Arabidopsis thaliana and Magnaporthe oryzae. Mol. Plant Pathol. 12, 397–402. doi: 10.1111/j.1364-3703.2010.00682.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Seo, S., Nakaho, K., Hong, S. W., Takahashi, H., Shigemori, H., and Mitsuhara, I. (2016). L-Histidine induces resistance in plants to the bacterial pathogen Ralstonia solanacearum partially through the activation of ethylene signaling. Plant Cell Physiol. 57, 1932–1942.

Google Scholar

Skibbe, D. S., Doehlemann, G., Fernandes, J., and Walbot, V. (2010). Maize tumors caused by Ustilago maydis require organ-specific genes in host and pathogen. Science 328, 89–92. doi: 10.1126/science.1185775

PubMed Abstract | CrossRef Full Text | Google Scholar

Sugano, S., Sugimoto, T., Takatsuji, H., and Jiang, C. J. (2013). Induction of resistance to Phytophthora sojae in soyabean (Glycine max) by salicylic acid and ethylene. Plant Pathol. 62, 1048–1056. doi: 10.1111/ppa.12011

CrossRef Full Text | Google Scholar

Sun, Y., Wang, M., Mur, L. A. J., Shen, Q., and Guo, S. (2020). Unravelling the roles of nitrogen nutrition in plant disease defenses. Int. J. Mol. Sci. 21:572.

Google Scholar

Tian, T., Liu, Y., Yan, H., You, Q., Yi, X., Du, Z., et al. (2017). agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update. Nucl. Acids Res. 45, W122–W129. doi: 10.1093/nar/gkx382

PubMed Abstract | CrossRef Full Text | Google Scholar

Win, K. T., and Jiang, C. J. (2021). A fresh weight-based method for evaluating soybean resistance to red crown rot. Breed. Sci. 71, 384–389.

Google Scholar

Yamamoto, R., Nakagawa, A., Shimada, S., Komatsu, S., and Kanematsu, S. (2017). Histopathology of red crown rot of soybean. J Gen. Plant Pathol. 83, 23–32. doi: 10.1007/s10327-016-0694-3

CrossRef Full Text | Google Scholar

Yan, J., Wang, B., Zhong, Y., Yao, L., Cheng, L., and Wu, T. (2015). The soybean R2R3 MYB transcription factor GmMYB100 negatively regulates plant flavonoid biosynthesis. Plant Mol. Biol. 89, 35–48. doi: 10.1007/s11103-015-0349-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, J., Jing, X., Wang, T., Di, J., Chen, L., and Wang, Y. (2020). Overactivation of glutamate consuming pathways in l-glutamate treated tomato fruits lead to resistance against Alternaria Alternata. Postharvest Biol. Technol. 169:111311.

Google Scholar

Yariyama, S., Ando, S., Seo, S., Nakaho, K., Miyashita, S., Kanayama, Y., et al. (2019). Exogenous application of l-histidine suppresses bacterial diseases and enhances ethylene production in rice seedlings. Plant Pathol. 68, 1072–1078.

Google Scholar

Yi, J., Derynck, M. R., Li, X., Telmer, P., Marsolais, F., and Dhaubhadel, S. (2010). A single-repeat MYB transcription factor, GmMYB176, regulates CHS8 gene expression and affects isoflavonoid biosynthesis in soybean. Plant J. 62, 1019–1034. doi: 10.1111/j.1365-313X.2010.04214.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Zeier, J. (2013). New insights into the regulation of plant immunity by amino acid metabolic pathways. Plant Cell Environ. 36, 2085–2103.

Google Scholar

Zhang, Y., Wang, H. L., Li, Z., and Guo, H. (2020). Genetic network between leaf senescence and plant immunity: crucial regulatory nodes and new insights. Plants 9:495.

Google Scholar

Zhou, Q. Y., Tian, A. G., Zou, H. F., Xie, Z. M., Lei, G., Huang, J., et al. (2008). Soybean WRKY-type transcription factor genes, GmWRKY13, GmWRKY21, and GmWRKY54, confer differential tolerance to abiotic stresses in transgenic Arabidopsis plants. Plant Biotechnol. J. 6, 486–503. doi: 10.1111/j.1467-7652.2008.00336.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: soybean, Glycine max, Calonectria ilicicola, red crown rot, organ-specific infection

Citation: Kobayashi M, Win KT and Jiang C-J (2022) Soybean Hypocotyls Prevent Calonectria ilicicola Invasion by Multi-Layered Defenses. Front. Plant Sci. 12:813578. doi: 10.3389/fpls.2021.813578

Received: 12 November 2021; Accepted: 31 December 2021;
Published: 24 January 2022.

Edited by:

Wen-Ming Wang, Sichuan Agricultural University, China

Reviewed by:

Xiaoli Chang, Sichuan Agricultural University, China
Mudassar Nawaz Khan, Hazara University, Pakistan

Copyright © 2022 Kobayashi, Win and Jiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Chang-Jie Jiang, cjjiang@affrc.go.jp

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.