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ORIGINAL RESEARCH article

Front. Genet., 27 May 2022
Sec. Genomics of Plants and the Phytoecosystem
This article is part of the Research Topic Legume Breeding in Transition: Innovation and Outlook View all 28 articles

GmARP is Related to the Type III Effector NopAA to Promote Nodulation in Soybean (Glycine max)

Jinhui Wang&#x;Jinhui Wang1Chao Ma&#x;Chao Ma1Shengnan Ma&#x;Shengnan Ma1Haiyang ZhengHaiyang Zheng1Haojie FengHaojie Feng1Yue WangYue Wang1Jiangxu WangJiangxu Wang2Chunyan LiuChunyan Liu1Dawei Xin
Dawei Xin1*Qingshan Chen
Qingshan Chen1*Mingliang Yang
Mingliang Yang1*
  • 1College of Agriculture, Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
  • 2Heilongjiang Academy of Agricultural Sciences, Harbin, China

Type III effectors secreted by rhizobia regulate nodulation in the host plant and are important modulators of symbiosis between rhizobia and soybean (Glycine max), although the underlying mechanisms are poorly understood. Here, we studied the type III effector NopAA in Sinorhizobium fredii HH103, confirming its secretion into the extracellular environment under the action of genistein. The enzyme activity of NopAA was investigated in vitro, using xyloglucan and β-glucan as substrates. NopAA functions were investigated by the generation of a NopAA mutant and the effects of NopAA deficiency on symbiosis were analyzed. Soybean genes associated with NopAA were identified in a recombinant inbred line (RIL) population and their functions were verified. NopAA was confirmed to be a type III effector with glycosyl hydrolase activity, and its mutant did not promote nodulation. Quantitative trait locus (QTL) analysis identified 10 QTLs with one, Glyma.19g074200 (GmARP), found to be associated with NopAA and to positively regulate the establishment of symbiosis. All these results support the hypothesis that type III effectors interact with host proteins to regulate the establishment of symbiosis and suggest the possibility of manipulating the symbiotic soybean–rhizobia interaction to promote efficient nitrogen fixation.

Introduction

Soybean is an important food crop, could provide rich plant protein and oil for human. With the increasing demand for protein and oil, more and more attention has been paid to soybean agricultural production (Li et al., 2019). In agricultural production, the yield of soybean is increased by applying a large amount of industrial nitrogen fertilizer (Wang et al., 2020a). However, excess application of nitrogen fertilizers has had adverse effects on the environment, leading also to economic and health concerns (Jordan et al., 2011; Chen et al., 2017; Guo and Wang, 2021). The use of symbiotic nodule-forming soybean maintains soil fertility and sustainable crop production, leading to reduced requirements for chemical N fertilizers in agricultural systems (Goyal et al., 2021). Many native Rhizobium species have been isolated and inoculated into soybean agricultural production to reduce the amount of applied N fertilizer (Chen et al., 2021). Rhizobia inoculations benefit the production of soybean as they promote plant growth by producing hormones, antibiotics, vitamins, and siderophores (Roy et al., 2020); in addition, rhizobia can enhance disease resistance (Plett et al., 2021; Zboralski et al., 2022).

The establishment of symbiosis system is a complex process, which requires signal exchange between soybean and rhizobia (Roy et al., 2020). In rhizobia, six secretion systems, namely, type I to VI systems, have been identified and classified according to their function (Freiberg et al., 1997; Krehenbrink and Downie, 2008; Pukatzki et al., 2009; Tampakaki, 2014; van Ulsen et al., 2014). Each secretion system plays a different role in symbiotic nitrogen fixation, with the type III secretion system (T3SS) being the most widely studied (Kambara et al., 2009; Miwa and Okazaki, 2017). The T3SS secretes nodulation outer proteins (Nops) into host cells which play key roles in the establishment of symbiosis. Several Nops have been identified in Sinorhizobium fredii HH103, including NopD, NopL, NopM, NopP, and NopT (Ausmees et al., 2004; Bartsev et al., 2004; Dai et al., 2008). NopD and NopM have been identified by LC-MALDI and LC-ESI (Rodrigues et al., 2007), and protein domain prediction has shown that the C-terminal region of NopD contains a domain homologous to the ubiquitin-like protease Ulp1, thus suggesting that NopD may combine with SUMO (small ubiquitin-like modifier)-conjugated proteins, leading to the removal of the SUMO conjugate in HH103-infected soybean (Xiang et al., 2020; Ratu et al., 2021). NopM is an E3 ubiquitin ligase and may target the MAPK pathway in host plants during nodule formation (Xin et al., 2012). NopL and NopP are substrates for soybean kinases (Skorpil et al., 2005; Zhang et al., 2011a; Ge et al., 2016). The NopL mutant was found to inhibit nodule formation, while the NopP mutant increased nodule numbers (Wang et al., 2018; Zhang et al., 2018; Zhang et al., 2021a). These reports indicate that the various type III effectors have different roles in symbiosis. The analysis and identification of type III effector proteins in soybean could provide a good basis for understanding the functions of these proteins in symbiosis. The release of the soybean (Glycine max) reference genome (Lam et al., 2010; Schmutz et al., 2010) has allowed the identification of many novel genes based on quantitative trait loci (QTLs) (Qi et al., 2014a; Lu et al., 2017). The Rj2 protein was cloned and found to recognize T3SS proteins (Yang et al., 2010). GmNNL1, an R gene that interacts with the rhizobial effector NopP, was identified by GWAS (Zhang et al., 2021a). NopD promotes HH103 infection of soybean by direct or indirect regulation of GmPP2C, and different haplotypes of GmPP2C were found to vary their expression patterns in response to NopD (Wang et al., 2020b). GmRPK was found to be related to NopL and to promote HH103 infection (Zhang et al., 2018). Although many proteins related to type III effectors have been identified in soybean, much work is still needed to uncover the mechanisms by which these proteins function.

In this study, we aimed to identify the genes associated with NopAA in regulating nodulation. We identified NopAA as a glycosyl hydrolase that hydrolyzed xyloglucan and β-glucan into glucose. Nodule tests in 13 soybean natural varieties were used to study the effects of NopAA mutation, indicating that NopAA positively influenced symbiosis. We identified 10 QTLs related to NopAA using the Dongnong594 and Charleston germplasms. Further haplotypic, genetic, and transgenic analyses showed that Glyma.19g074200 (GmARP) responded to NopAA to regulate nodulation. These findings thus provide useful information on the role of NopAA in nodulation, and the identification and study of soybean host genes can provide support for the effective utilization of symbiotic nitrogen fixation in soybean.

Materials and Methods

Strains, Vectors, and Primers

S. fredii HH103 and Escherichia coli DH5α and BL21 (DE3.1) were used in this study (Supplementary Table S2). HH103 was cultured in or on TY medium supplemented with rifampicin at 28°C, and all E. coli strains were cultured in or on LB media supplemented with appropriate antibiotics at 37°C. The plasmids used for the construction of mutants and the primers used for PCT and qRT-PCR are listed in Supplementary Table S1. Antibiotics were used at the following concentrations: 50 μg/ml rifampicin; 50 μg/ml kanamycin; 34 μg/ml chloramphenicol; 50 μg/ml spectinomycin; 50 μg/ml streptomycin.

Construction of the NopAA Mutant

The NopAA mutant was constructed by triparental mating as previously described (Wang et al., 2019) with the kanamycin-resistant DNA fragment inserted into the coding sequence of NopAA by homologous recombination. The mutant was confirmed by PCR and Southern blotting (Chen and Kuo, 1993).

qRT-PCR and Analysis of Nodulation Outer Proteins

HH103, the NopAA mutant, and the TtsI mutant were grown in YM medium (Yeast Mannitol Broth) in the presence or absence of genistein, and extracellular proteins were extracted as previously described (Jim é nez-Guerrero et al., 2015). Extracted RNA was subjected to qRT-PCR analysis by a Roche LightCycler LC480 (Roche, Switzerland), and the relative expression levels of NopAA were normalized using 16S rRNA. All sample collections were analyzed using three independent biological replicates as well as three technical replicates.

Enzyme Activity Assays

The NopAA genes were then independently subcloned into pET28b as BamH I-Sal I fragments to create pET28b-NopAA. This vector was used for active protein purifications as described (Xin et al., 2012). The His-NopAA protein was purified from BL21 (DE3) E. coli after induction with 0.1 mM isopropylthio-β-galactoside using Ni-NTA resin beads (Qiagen, Hilden, Germany). The purified protein was identified by western blotting with an anti-His antibody and its enzyme activity was measured using pure xyloglucan and beta-glucan (Megazyme, Bray, Ireland) as substrates. Activity assays were performed by glucose as the standard and a iMark Microplate Absorbance Reader (Bio-Rad, United States) as previously described (Grishutin et al., 2004).

Agrobacterium Infiltration Assays

Agrobacterium-mediated transformation of tobacco leaves was performed as described (Wang et al., 2011). A. tumefaciens EHA105 containing pSoy1-NopAA, the empty vector pSoy1, and pSoy1 35S-NopM were transformed into leaves of 30-day-old Nicotiana benthamiana. The OD600 of the A. tumefaciens culture was adjusted to 0.2 with buffer (Ma et al., 2015). Infiltrated leaves were harvested each day for analysis of electrical conductivity by a conductivity meter (Lei-ci, China) (Wang et al., 2020a).

Nodulation Tests

The RILs population were planted in Xiangyang Farm, Harbin, Heilongjiang Province (Harbin, latitude 45°450″N, longitude 126°380″E) in 2016, and nodulation tests were performed in 2017. 100 soybean germplasms used in the study came from different ecoregions were planted in Xiangyang Farm in 2019, and nodulation tests were performed in 2020. Sterilized soybean seeds (15 seeds from each variety) were grown under greenhouse conditions in sterilized vermiculite containing a low-nitrogen nutrient solution (Zhang et al., 2018). All plants were grown in a greenhouse at 25°C with a photoperiod of 16 h. At the Vc stage (unifoliolate leaves expand), all the plants were inoculated with HH103 and the NopAA mutant. Nodulation in the germplasms was evaluated by nodule number (NN) and nodule dry weight (NDW) (28 days post-inoculation, dpi). Three different biological replicates and 15 plants for each replicate were conducted and the t-test was used to detect the statistical significance of differences in NN and NDW.

Observation of Rhizobial Infection Events

DN594 and Charleston were inoculated with GFP-conjugated HH103 and NopAA mutant strains. One-centimeter samples of infected lateral roots were collected at 1 dpi, comprising ten lateral roots per plant, and infection in the entire plant was evaluated using confocal fluorescence microscopy (Zeiss LSM700, Germany). The number of infection events was then multiplied by the length of the roots. Infection events included foci, infection threads in epidermal cells (ITs), and infection threads extending into the cortical cells (rITs) (Liu et al., 2020). Ten independent lateral root segments from each plant were used for each biological replicate and three biological replicates were used for each condition.

Quantitative Trait Locus Mapping and Identification of Genes in Quantitative Trait Locus Regions

Charleston and DN594 were used to construct the RIL population, using a genetic map that had been constructed in a previous study (Qi et al., 2014b). We used WinQTL Cartographer and composite interval mapping methods to map QTLs related to nodulation in the RIL population. QTLs for NN and NDW were defined by LOD scores greater than 3.0 (Brensha et al., 2012; Wang et al., 2020b). The reference genome of Williams 82 was used to identify genes within the QTL regions, and candidate genes were annotated according to the gene annotation information of Williams 82 (Xin et al., 2016).

Analysis of the Expression Patterns of Candidate Genes Related to NopAA

qRT-PCR was performed to analyze the expression patterns of candidate genes in Charleston and DN594 inoculated with HH103, the NopAA mutant, and the control. Roots were harvested at several time points and rapidly submerged in liquid nitrogen, after which the total RNA was extracted by the TRIzol method. cDNA was synthesized using the PrimeScript™ RT Reagent Kit (Takara Biotech Co., Beijing, China) and qRT-PCR was performed using TB Green® Premix Ex Taq™ II (Takara Biotech Co.). Relative expression levels of each gene were normalized using GmUNK1 (Glyma.12g020500) (Wang et al., 2020a).

Hairy-Root Transformation of Soybean

The A. rhizogenes strain K599 containing pSoy10-GmARP-GFP, pSoy10-GFP, pB7GWIWG2-GmARP-DsRed, and pB7GWIWG2-DsRed were used for hairy-root transformation as described previously (Kereszt et al., 2007). GFP and DsRED were used as markers to detect positive hairy roots using LUYOR-3415RG. Hairy roots were inoculated with HH103, the NopAA mutant, and the control to identify the influence of gene overexpression and interference on nodulation. All nodules were harvested at 28 dpi and transcript levels of GmARP were measured using qRT-PCR. Three different biological replicates and 15 plants for each replicate were conducted and the t-test was used to detect the statistical significance of differences in NN and NDW.

Haplotype Analysis

Haplotype analysis of GmARP was performed in 100 soybean natural varieties. The genomic sequence of GmARP, including the coding sequence and the 3000-bp promoter sequence, was obtained from the resequencing of the genomes of the 100 varieties, and the genomic sequences were subjected to local BLAST analysis to obtain SNP information (Wang et al., 2020a). Haploview 4.2 software (Cambridge, MA, United States) was used for analysis using the Haps Format module, and GraphPad Prism 8 software was used to analyze the correlations between the GmARP haplotypes and nodule traits in the 100 natural varieties (Li et al., 2019).

Results

NopAA is Induced by Genistein and Secreted by Rhizobia

A phylogenetic analysis was performed to study the evolutionary relationships of NopAA in different rhizobial species. This showed that the NopAA tree was separated into three branches (blue, green, and pink regions in Figure 1A). The blue region contained only four Sinorhizobium species, the green region contained only three Bradyrhizobium species, and the pink region contained only two Mesorhizobium species (Figure 1A). The phylogenetic analysis showed that there is obvious diversity in NopAA among different rhizobial genera. Previous RNA-seq results showed that NopAA might be induced by genistein; thus, to further study whether NopAA was a type III effector, qRT-PCR and nodulation analyses were performed. The qRT-PCR results showed that genistein increased NopAA expression significantly in HH103 compared with rhizobia not treated with genistein but did not induce NopAA expression in the NopAA mutant or the TtsI mutant regardless of the presence or absence of genistein (Figure 1B). After extraction of the nodulation outer proteins, NopAA was detected in the supernatants after genistein treatment but not in the supernatants of the NopAA mutant or TtsI mutant outer proteins induced by genistein (Figure 1C). These results indicated that NopAA could be induced by genistein and TtsI and could be secreted into the extracellular milieu of the rhizobia.

FIGURE 1
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FIGURE 1. NopAA is a rhizobial type III effector with glycoside hydrolase activity. (A) Phylogenetic tree analysis of NopAA proteins from different rhizobia. (B) Relative expression of NopAA in rhizobia in the presence and absence of genistein. (C) Analysis of NopAA, a nodulation-promoting outer protein secreted by rhizobia, by immunoassay in the presence and absence of genistein. In (B) and (C), "+" represents induction by the addition of genistein, and "−" represents the absence of genistein. (D) Analysis of glycoside hydrolase activity of NopAA. Pure xyloglucan and β-glucan were used as substrates for measuring enzyme activity, and NopAA protein in the reaction system was detected by immunoblotting. Data are presented as the average of three different biological replicates. (E) N. benthamiana leaves 48 h–96 h after inoculation with EH105 carrying NopAA and positive control NopM.

NopAA has Glycosyl Hydrolase Activity and Does not Induce Cell Death in Tobacco

To determine whether NopAA had glycosyl hydrolase activity, 6 × His-tagged NopAA was expressed and purified by Ni-affinity chromatography. The molecular weight of the His-NopAA fusion protein was ∼28 kDa (Figure 1D). Xyloglucan and β-glucan were used as substrates to analyze hydrolase activity, showing that NopAA hydrolyzed both xyloglucan and β-glucan directly to sugars (Figure 1D). The Phytophthora sojae apoplastic effector PsXEG1 and NopAA belong to the glycosyl hydrolase family, which is known to induce cell death in tobacco leaves. To study the effect of NopAA on tobacco leaves, we infiltrated NopAA into tobacco leaves using Agrobacterium tumefaciens EHA105. In contrast to PsXEG1, NopAA did not trigger cell death (Figure 1E). These results indicated that NopAA had glycosyl hydrolase activity and did not induce cell death in tobacco.

NopAA Mutant Does not Promote Nodulation in Several Soybean Germplasms

In this study, we selected 13 soybean germplasms to study the effect of NopAA on nodulation, including five cultivated, six landrace soybean, and two wild soybean germplasms (Supplementary Figure S1). Nodulation tests showed that while the NopAA mutant significantly reduced the nodule numbers in 11 of the germplasms, the nodule numbers did not differ significantly in Dongnong594 (DN594) and Qingdou compared with the wild strain HH103. Inoculation with the NopAA mutant led to lower nodule dry weights in 12 of the 13 germplasms except for DN594, compared with the wild strain HH103. Nodulation tests of DN594 and Qingdou showed that the NopAA mutant did not influence nodule numbers, nor did it alter the change in the dry weight of DN594. These results indicated that NopAA did not negatively influence symbiosis in different types of soybean germplasms, and that differences in the genetic backgrounds of the germplasms might be the explanation for the variations in nodule traits associated with NopAA. This suggested that these genetic differences could be used to identify genes or loci associated with symbiosis.

The Influence of NopAA on Dongnong594 and Charleston

Based on the results of the nodule tests on various soybean germplasms, DN594 and Charleston were selected for further investigation of the role of NopAA in symbiosis. Compared with the wild strain HH103, the NopAA mutants caused a significant reduction in both the nodule number (NN) and nodule dry weight (NDW) in Charleston but did not affect DN594 (Figures 2A,B). In the mature nodule, the infection zone and infection cells did not differ significantly between the two germplasms after inoculation with HH103, and inoculation with the NopAA mutant did not change this (Figure 2A). Because of the differences in the nodule traits of DN594 and Charleston, we further investigated the infection events after inoculation with GFP-labeled HH103 and the NopAA mutant. The results showed there were more infection events in curled root hairs in Charleston compared with DN594 3 days after inoculation with GFP-labeled HH103 compared with the wild strain, while the GFP -labeled NopAA mutant induced fewer infection events in Charleston but had no significant effects on DN594 (Figure 2C). This implied that the type III effector NopAA might influence nodulation through involvement in infection events and that the genetic differences between DN594 and Charleston might result in different symbiotic phenotypes, with some of the genetic differences being associated with NopAA.

FIGURE 2
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FIGURE 2. Differences in infection events between DN594 and Charleston after inoculation with HH103 or the NopAA mutant. (A) Phenotypes of DN594 and Charleston inoculated with HH103 and HH103ΩNopAA; root phenotype scale bars represent 0.5 cm; toluidine blue staining of nodules scale bars represent 50 μm. (B) Boxplots of NN and NDW. (C) Boxplots of the total number of infection events per plant of Charleston and DN594 (1 dpi). Data are presented as the average of three different biological replicates and ten root segments for each replicate, and all results were analyzed for significance using t-tests. Foci, infection foci; IT, infection thread in an epidermal cell; rIT, infection thread extending into a cortex cell. dpi, day post-inoculation.

Quantitative Trait Locus for Nodule Number and Nodule Dry Weight Related to NopAA in Soybean Recombinant Inbred Line Populations

The soybean RILs were derived from the cross and continuous self-cross of DN594 and Charleston and were used to identify genes related to NopAA. Nodulation tests were performed on 150 RILs after inoculation with the wild strain and the NopAA mutant, with the results showing that the NopAA mutant could significantly reduce both the NN and NDW in whole RILs compared with HH103, further suggesting that NopAA plays a positive role in symbiosis. WinQTL Cartographer was used to identify the QTLs underlying nodule-related traits using a composite interval mapping method. Two main-effect QTLs underlying NDW and five QTLs underlying NN were identified with the background inoculated with S. fredii HH103 (Table. 1). Two QTLs, QNDW3-1 and QNDW7-1 were associated with NDW and explained 4.40% and 2.42% of the phenotypic variation, respectively. Five QTLs, QNN9-1, QNN13-1, QNN13-2, QNN16-1, and QNN17-1. were associated with NN, explaining 1.84%, 0.99%, 0.39%, 5.89%, and 6.13% of the phenotypic variation, respectively. A total of 33 candidate genes were found in these seven loci (Supplementary Table S3). In the background inoculated with the S. fredii NopAA mutant, two QTLs underlying NDW were located on chromosome 19, while only one QTL underlying NN was identified on chromosome 19 (Table 2). The QTLs QNDW19-1 and QNDW19-2 explained 0.15% and 2.59% of the phenotypic variation, respectively QTLs QNDW19-2 and QNN19-1 were in the same region, with very small R2 values. Twenty genes were identified in these loci (Supplementary Table S3). As no comparable region was identified in the backgrounds of S. fredii HH103 and the S. fredii NopAA mutant and as QNDW19-2 and QNN19-1 were in the same region, we considered that this QTL region might contain the key candidate genes for interaction with NopAA. Gene functional annotation showed that gene Glyma.19G074000 encoded a nodulin protein, while Glyma.19G073900 encoded a DNA lyase, and Glyma.19G074200 was co-expressed with genes in the root-specific co-expression subnetwork. Glyma.19G073800 and Glyma.19G074100 had no specific functional annotations.

TABLE 1
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TABLE 1. Nodule traits in RILs inoculated with HH103 and HH103ΩNopAA.

TABLE 2
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TABLE 2. Main QTLs identified in the RIL.

qRT-PCR Verification of Candidate Genes

The candidate genes were verified by qRT-PCR to confirm their association with NopAA, using the roots of both DN594 and Charleston, as well as non-inoculated roots (Figure 3). Among these genes, Glyma.19G074200 was confirmed to be upregulated with an almost two-fold change after inoculation with S. fredii HH103 but not with the S. fredii NopAA mutant 6 h after inoculation. This supported the association between Glyma.19G074200 (named GmARP) and NopAA. The remaining genes were not significantly affected by the wild-type and mutant rhizobial inoculations.

FIGURE 3
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FIGURE 3. Analysis of the relative expression levels of candidate genes in the QTL interval by qRT-PCR. Relative expression of genes was calculated by the 2−ΔΔCt method, and the relative expression levels of each gene were normalized using GmUNK1 (Glyma.12g020500). Data are means ± SE of three replicates.

The Effects of GmARP Silencing and Overexpression on Nodulation

To further investigate the role of GmARP in soybean nodulation, the Agrobacterium rhizogenes strain K599 carrying pB7GWIWG2(II)-Dsred-GmARP (for RNA interference), pSoy10-GmARP-GFP (for overexpression), and the corresponding empty vectors were used for the transformation of soybean transgenic hairy roots. Silencing and overexpression were confirmed by qRT-PCR after transformation (Supplementary Figure S2). Reduced NN and NDW values were seen after GmARP silencing compared with the controls inoculated with HH103 and the NopAA mutant, respectively (Figure 4A). In the silenced hairy roots, the NopAA mutant did not induce significantly different NN or NDW compared with HH103 (Figure 4B). In the overexpressed hairy roots, GmARP overexpression resulted in increased NN and NDW values compared with the controls inoculated with HH103 and the NopAA mutant, respectively (Figure 4B). We found that overexpression of GmARP led to elevated NN and NDW in comparison with the control hairy roots inoculated with the NopAA mutant. However, both the NN and NDW after inoculation with the NopAA mutant were still lower than HH103 in the overexpressed hairy roots, suggesting that overexpression could partially compensate for the loss of NopAA in HH103 during symbiotic formation. These results indicated that GmARP may be involved in signal transduction after recognition of NopAA by the soybean, leading to the regulation of nodulation.

FIGURE 4
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FIGURE 4. Nodule phenotypes of EV1, OE, and KD. (A) Nodular phenotypes of hairy roots transformed with EV1, OE, EV2, and KD after inoculation with HH103 and HH103ΩNopAA (28 dpi). EV1, Empty vector for gene overexpression; OE, Overexpression of GmARP; EV2, Empty vector for gene silencing; KD, Gene silencing of GmARP by RNAi. Root: scale bars represent 1 cm; nodule: scale bars represent 2 mm. (B) Boxplots of nodule phenotypes. Data are presented as the average of three different biological replicates and 15 plants for each replicate and significance was determined by t-tests.

Haplotype Analysis Suggests That GmARP Regulates Nodule Number and Nodule Dry Weight in Soybean

Based on the observed differences in the recognition of NopAA, haplotype (Hap) analysis of GmARP was performed in 100 soybean natural varieties using Dnasp5.0 software. Using the results of the resequencing of soybean natural varieties, eight Haps were identified. Two Haps containing more than 10 accessions were considered the dominant Haps, and only one SNP and one indel were observed in the promoter regions of Hap1 and Hap2 (Figures 5A,B). What is even more remarkable is that there was no difference in the NN and NDW values in the Hap1 accessions inoculated with HH103 compared with the NopAA mutant; however, in the Hap2 accessions, the NopAA mutant induced both lower NN and NDW than HH103 (Figure 5C). To identify whether the difference in the promoter region caused the expression difference between Hap1 and Hap2, qRT-PCR was used to analyze the expression of GmARP at 12 h post-inoculation with HH103 and the NopAA mutant in some varieties of Hap1 and Hap2. The expression patterns suggested that the relative expression level of GmARP did not differ between several Hap1 accessions (Heihe13 and Suinong15) regardless of the presence of NopAA in HH103 (Figure 5D). However, in the Hap2 accessions, HH103 induced significant expression of GmARP compared with the NopAA mutant. The haplotype analysis further confirmed that GmARP was associated with the type III effector NopAA to regulate nodulation in soybean.

FIGURE 5
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FIGURE 5. Haplotype analysis of GmARP. (A,B) Haplotype analysis of GmARP from 100 soybean resources. (C) NN of Hap1 and Hap2 inoculated with HH103 and HH103ΩNopAA, data are presented as the average of three different biological replicates and 15 plants for each replicate. (D) Gene expression of GmARP of Hap1 and Hap2 inoculated with HH103 and HH103ΩNopAA (12 hpi). Significance was measured by t-tests. NN, nodule number.

Discussion

In this study, we confirmed that NopAA was a type III effector and could hydrolyze xyloglucan and β-glucan directly into glucose. Nodulation tests indicated that NopAA did not have a negative effect on nodulation, and the soybean gene GmARP was found to be associated with NopAA in the soybean RIL population. There are few studies on NopAA function and the mechanisms involved, and few address the question of its role in symbiosis. Our study of NopAA provides an essential foundation for understanding the role of NopAA and its associated signaling pathways in symbiotic nitrogen fixation.

The type III effectors of rhizobia have obvious characteristics, that is, they are induced and regulated by flavonoids and TtsI, and the most important is that they can be secreted into the extracellular of rhizobia (Teulet et al., 2022). Similar to the reported type III effectors, such as NopD, NopL and NopM (Zhang et al., 2011b; Xin et al., 2012; Wang et al., 2020a), NopAA can also be induced by flavonoids and its expression can be regulated by TtsI, these confirmed NopAA is a type III effector. In the previous study, several type III effectors can act as enzymes and have biochemical activities (Teulet et al., 2022), and elucidating the biochemical functions of type III effectors, particularly those that are conserved among different species, has greatly enhanced our understanding of the mechanisms underlying bacterial pathogenesis (Chen et al., 2021; Zboralski et al., 2022). By analysis of NopAA amino acid sequence, we found that NopAA belonged to the Glycoside hydrolase 12 (GH12) family and had the potential to hydrolyze polysaccharides (Zhang et al., 2021b). Nodulation requires the assistance of cell-wall degrading enzymes, such as hemicellulases, pectinases, polygalacturonases, glucanases, cellulases, xyloglucanases, and pectinases, which allow root penetration by beneficial microorganisms, such as Rhizobium, Frankia, and the arbuscular mycorrhizal (Mateos et al., 1992; Zhang et al., 2021b; Tsyganova et al., 2021). GH12 is a cell wall-degrading enzyme that, along with the bacterial effector Cif and the Phytophthora sojae apoplastic effector PsXEG1, have been identified as playing pivotal roles in pathogen survival and systemic infection processes (Ma et al., 2015; Xia et al., 2020). Identifying the host protein interactors could elucidate the mechanisms underlying host-microbe interactions. NopAA was identified as a glycoside hydrolase belonging to the GH12 family. In Phytophthora sojae, PsXEG1 is also a glycoside hydrolase 12 family member with glycoside hydrolase activity and hydrolases the same substrates as NopAA. Because PsXEG1 is an effector of P. sojae, the replication of a P. sojae virus could be promoted using a PsXLP1 decoy that was similar to PsXEG1 but without its enzymatic activity. Additionally, PsXLP1 can protect PsXEG1 from GmGIP1 binding in vitro and in planta (Ma et al., 2015; Ma et al., 2017). We did not find any proteins similar to NopAA in the S. fredii HH103 genome, suggesting that HH103 does not infect soybeans using the same decoy pattern as P. sojae by NopAA. The investigation of the effect of NopAA on tobacco leaves did not show any evidence of cell death. Rhizobia may be involved in soybean immune signaling pathways during infection and the establishment of the symbiotic relationship. However, the establishment of an effective symbiosis does not require as strong or prolonged an immune response as occurs against pathogens. These results differ significantly from the actions of PsXEG1 in tobacco leaves. Thus, we propose that the role of NopAA may be different from that of PsXEG1. In this study, xyloglucan and β-glucan were found to be hydrolyzed to glucose; both xyloglucan and β-glucan are important components of cellulose and hemicellulose in plant cell walls, and their hydrolysis could promote the entry of rhizobia into host cells. These results are consistent with the observations of infection sites as fewer infection sites were observed with the NopAA mutant, indicating that NopAA could degrade the cell walls of soybean root hair cells, thus promoting infection and the formation of the infection thread.

A total of 10 QTLs were identified in this study, two of which were related to NDW, and five were related to NN with HH103, with two QTLs related to NDW and only one QTL related to NN seen with the NopAA mutant. No overlapping QTL loci were found when comparing inoculated HH103 and NopAA mutant, because NopAA mutation obviously changed the NN and NDW of DN594, Charleston and RIL populations, so no overlapping QTL could be identified, this result was similar to previous studies of other effectors, such NopL and NopT (Liu et al., 2021; Ni et al., 2022). Of the 10 identified QTLs, two were found to overlap with the reported symbiotic loci Ns1-3 (Hwang et al., 2013) and Nw1-9 (Nicol á s et al., 2006), respectively. These results indicated the accuracy of the QTL mapping and genetic analyses in the DN594 and Charleston RIL populations. The NopAA mutant was derived from the wild strain HH103 and was found to induce fewer NNs and lower NDW, as well as to generate fewer infection sites. Analysis of the expression patterns of several symbiotic marker genes showed that the NopAA mutant could also change the expression pattern of genes, such as PR1. It is possible that the interaction network might change without the involvement of NopAA. These results suggested that the soybean response to the NopAA mutant differed significantly from its response to the wild strain, leading to the observed QTL differences between HH103 and the NopAA mutant.

In the overlapped QTLs, Glyma.19G074200 was found to be associated with NopAA using gene annotation and qRT-PCR. Glyma.19G074200 is a root-specific co-expression gene belonging to the uncharacterized protein At3g27210 protein family. In Arabidopsis, the At3g27210 protein interacts with AtRKL1 (Tarutani et al., 2004) and participates in the response to pathogen infection. Soybean RNA-seq results confirmed that Glyma.19G074200 was involved in symbiosis during Bradyrhizobium japonicum infection, although the function of the gene was not determined (Libault et al., 2010). In soybean, the function of this gene has not been studied, in this study, overexpression of GmARP promoted nodule formation after inoculation with either the wild strain or the NopAA mutant but, after GmARP silencing, no significant differences in either NN or NDW between plants inoculated with HH103 or the NopAA mutant were observed. These results suggest that GmARP is a positive regulator of nodule formation and that it mediates NopAA signaling in plants, the mechanism of the synergistic regulation of GmARP and NopAA in symbiosis remains to be further studied. We demonstrated that NopAA had glycosyl hydrolase activity and may promote rhizobia infection by hydrolyzing the host cell wall, and that host recognition of NopAA activated the expression of symbiotic genes. When HH103 was used for infection, NopAA induced GmARP expression to complete the establishment of symbiosis. We have two hypotheses concerning the mechanism of this activated expression: the first is that NopAA induces the expression of GmARP by activating its downstream signals while the second is that the products resulting from NopAA hydrolysis of cell wall polysaccharides induce signaling changes in the host cells, which further activate the expression of GmARP. However, these hypotheses require further experimental verification.

Conclusion

We demonstrated that NopAA is a type III effector with glycosyl hydrolase activity. Investigation of the effects of the NopAA mutant on nodulation showed that the mutant did not promote nodulation. Using QTL mapping and analysis of soybean genes associated with NopAA, we found that the soybean protein GmARP positively regulated nodulation through its association with NopAA. This study provides an essential reference for analyzing the function of NopAA and provides support for efficient utilization of symbiotic nitrogen fixation in soybean agricultural production.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.

Author Contributions

JHW, QC, MY, and DX conceived the study and designed and managed the experiments. CM and SM performed trials and collected data. JXW, HZ, HF, and YW completed statistical analyses of phenotypic data. CL provided plant lines. JXW, QC, MY, DX, and CM all contributed to writing the paper.

Funding

This work was supported by the China Postdoctoral Science Foundation (Grant No. 2020M681072), the National Natural Science Foundation of China (Grant No. 32072014, U20A2027).

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.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fgene.2022.889795/full#supplementary-material

Supplementary Figure S1 | Identification of nodulation ability of soybean germplasm resources. (A) Boxplot of NNs of soybean varieties inoculated with HH103 or HH103ΩNopAA (28 dpi). (B) Boxplot of NDWs of soybean varieties inoculated with HH103 or HH103ΩNopAA (28 dpi). Data are presented as the average of three different biological replicates and 15 plants for each replicate, results were analyzed for significance using the t-test. NDW, nodule dry weight; NN, nodule number.

Supplementary Figure S2 | Relative expression levels of GmARP in transformed hairy roots. Data are means  ±  SE.

References

Ausmees, N., Kobayashi, H., Deakin, W. J., Marie, C., Krishnan, H. B., Broughton, W. J., et al. (2004). Characterization of NopP, a Type III Secreted Effector of Rhizobium Sp. Strain NGR234. J. Bacteriol. 186 (14), 4774–4780. doi:10.1128/JB.186.14.4774-4780.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

Bartsev, A. V., Deakin, W. J., Boukli, N. M., McAlvin, C. B., Stacey, G., Malnoë, P., et al. (2004). NopL, an Effector Protein of Rhizobium Sp. NGR234, Thwarts Activation of Plant Defense Reactions. Plant Physiol. 134 (2), 871–879. doi:10.1104/pp.103.031740

PubMed Abstract | CrossRef Full Text | Google Scholar

Brensha, W., Kantartzi, S. K., Meksem, K., Grier, I. V. R. L., Barakat, A., Lightfoot, D. A., et al. (2012). Genetic Analysis of Root and Shoot Traits in the ‘Essex’by ‘Forrest’recombinant Inbred Line (RIL) Population of Soybean [Glycine Max (L.) Merr.]. Plant Genet. Genomics, Biotechnol. 1 (1), 1–9. doi:10.1007/s00425-018-2952-4

CrossRef Full Text | Google Scholar

Chen, J., Qian, H., and Wu, H. (2017). Nitrogen Contamination in Groundwater in an Agricultural Region along the New Silk Road, Northwest China: Distribution and Factors Controlling its Fate. Environ. Sci. Pollut. Res. 24 (15), 13154–13167. doi:10.1007/s11356-017-8881-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, W.-p., and Kuo, T.-t. (1993). A Simple and Rapid Method for the Preparation of Gram-Negative Bacterial Genomic DNA. Nucl. Acids Res. 21 (9), 2260. doi:10.1093/nar/21.9.2260

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, W. F., Wang, E. T., Ji, Z. J., and Zhang, J. J. (2021). Recent Development and New Insight of Diversification and Symbiosis Specificity of Legume Rhizobia: Mechanism and Application. J. Appl. Microbiol. 131 (2), 553–563. doi:10.1111/jam.14960

PubMed Abstract | CrossRef Full Text | Google Scholar

Dai, W.-J., Zeng, Y., Xie, Z.-P., and Staehelin, C. (2008). Symbiosis-promoting and Deleterious Effects of NopT, a Novel Type 3 Effector of Rhizobium Sp. Strain NGR234. J. Bacteriol. 190 (14), 5101–5110. doi:10.1128/JB.00306-08

PubMed Abstract | CrossRef Full Text | Google Scholar

Freiberg, C., Fellay, R., Bairoch, A., Broughton, W. J., Rosenthal, A., and Perret, X. (1997). Molecular Basis of Symbiosis between Rhizobium and Legumes. Nature 387 (6631), 394–401. doi:10.1038/387394a0

PubMed Abstract | CrossRef Full Text | Google Scholar

Ge, Y.-Y., Xiang, Q.-W., Wagner, C., Zhang, D., Xie, Z.-P., and Staehelin, C. (2016). The Type 3 Effector NopL of Sinorhizobiumsp. Strain NGR234 Is a Mitogen-Activated Protein Kinase Substrate. Exbotj 67 (8), 2483–2494. doi:10.1093/jxb/erw065

PubMed Abstract | CrossRef Full Text | Google Scholar

Goyal, R. K., Mattoo, A. K., and Schmidt, M. A. (2021). Rhizobial-Host Interactions and Symbiotic Nitrogen Fixation in Legume Crops toward Agriculture Sustainability. Front. Microbiol. 12, 669404. doi:10.3389/fmicb.2021.669404

PubMed Abstract | CrossRef Full Text | Google Scholar

Grishutin, S., Gusakov, A., Markov, A., Ustinov, B., Semenova, M., and Sinitsyn, A. (2004). Specific Xyloglucanases as a New Class of Polysaccharide-Degrading Enzymes. Biochimica Biophysica Acta (BBA) - General Subj. 1674 (3), 268–281. doi:10.1016/j.bbagen.2004.07.001

CrossRef Full Text | Google Scholar

Guo, Y., and Wang, J. (2021). Spatiotemporal Changes of Chemical Fertilizer Application and its Environmental Risks in China from 2000 to 2019. Ijerph 18 (22), 11911. doi:10.3390/ijerph182211911

PubMed Abstract | CrossRef Full Text | Google Scholar

Hwang, S., Ray, J. D., Cregan, P. B., King, C. A., Davies, M. K., and Purcell, L. C. (2013). Genetics and Mapping of Quantitative Traits for Nodule Number, Weight, and Size in Soybean (Glycine Max L.[Merr.]). Euphytica 195 (3), 419–434. doi:10.1007/s10681-013-1005-0

CrossRef Full Text | Google Scholar

Jiménez-Guerrero, I., Pérez-Montaño, F., Medina, C., Ollero, F. J., and López-Baena, F. J. (2015). NopC Is a Rhizobium-specific Type 3 Secretion System Effector Secreted by Sinorhizobium (Ensifer) Fredii HH103. PLoS One 10 (11), e0142866. doi:10.1371/journal.pone.0142866

PubMed Abstract | CrossRef Full Text | Google Scholar

Jordan, L. K., Mandelman, J. W., and Kajiura, S. M. (2011). Behavioral Responses to Weak Electric Fields and a Lanthanide Metal in Two Shark Species. J. Exp. Mar. Biol. Ecol. 409 (1), 345–350. doi:10.1016/j.jembe.2011.09.016

CrossRef Full Text | Google Scholar

Kambara, K., Ardissone, S., Kobayashi, H., Saad, M. M., Schumpp, O., Broughton, W. J., et al. (2009). Rhizobia Utilize Pathogen-like Effector Proteins during Symbiosis. Mol. Microbiol. 71 (1), 92–106. doi:10.1111/j.1365-2958.2008.06507.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Kereszt, A., Li, D., Indrasumunar, A., Nguyen, C. D., Nontachaiyapoom, S., Kinkema, M., et al. (2007). Agrobacterium Rhizogenes-Mediated Transformation of Soybean to Study Root Biology. Nat. Protoc. 2 (4), 948–952. doi:10.1038/nprot.2007.141

PubMed Abstract | CrossRef Full Text | Google Scholar

Krehenbrink, M., and Downie, J. A. (2008). Identification of Protein Secretion Systems and Novel Secreted Proteins in Rhizobium Leguminosarum Bv. Viciae. BMC Genomics 9 (1), 55–19. doi:10.1186/1471-2164-9-55

PubMed Abstract | CrossRef Full Text | Google Scholar

Lam, H.-M., Xu, X., Liu, X., Chen, W., Yang, G., Wong, F.-L., et al. (2010). Resequencing of 31 Wild and Cultivated Soybean Genomes Identifies Patterns of Genetic Diversity and Selection. Nat. Genet. 42 (12), 1053–1059. doi:10.1038/ng.715

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, R., Jiang, H., Zhang, Z., Zhao, Y., Xie, J., Wang, Q., et al. (2019). Combined Linkage Mapping and BSA to Identify QTL and Candidate Genes for Plant Height and the Number of Nodes on the Main Stem in Soybean. Ijms 21 (1), 42. doi:10.3390/ijms21010042

PubMed Abstract | CrossRef Full Text | Google Scholar

Libault, M., Farmer, A., Brechenmacher, L., Drnevich, J., Langley, R. J., Bilgin, D. D., et al. (2010). Complete Transcriptome of the Soybean Root Hair Cell, a Single-Cell Model, and its Alteration in Response to Bradyrhizobium Japonicum Infection. Plant physiol. 152 (2), 541–552. doi:10.1104/pp.109.148379

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, J., Liu, M. X., Qiu, L. P., and Xie, F. (2020). SPIKE1 Activates the GTPase ROP6 to Guide the Polarized Growth of Infection Threads in Lotus Japonicus. Plant Cell 32 (12), 3774–3791. doi:10.1105/tpc.20.00109

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Y., Sun, M., Chen, Q., Xin, D., and Sun, X. (2021). Mapping Quantitative Trait Loci Related to Nodule Number in Soybean (Glycine Max (L.) Merr.) in Response to the Sinorhizobium (Ensifer) Fredii HH103 NopT Type III Effector. J. Plant Interact. 16 (1), 126–135. doi:10.1080/17429145.2021.1908635

CrossRef Full Text | Google Scholar

Lu, S., Zhao, X., Hu, Y., Liu, S., Nan, H., Li, X., et al. (2017). Natural Variation at the Soybean J Locus Improves Adaptation to the Tropics and Enhances Yield. Nat. Genet. 49 (5), 773–779. doi:10.1038/ng.3819

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, Z., Song, T., Zhu, L., Ye, W., Wang, Y., Shao, Y., et al. (2015). A Phytophthora Sojae Glycoside Hydrolase 12 Protein Is a Major Virulence Factor during Soybean Infection and Is Recognized as a PAMP. Plant Cell 27 (7), 2057–2072. doi:10.1105/tpc.15.00390

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, Z., Zhu, L., Song, T., Wang, Y., Zhang, Q., Xia, Y., et al. (2017). A Paralogous Decoy Protects Phytophthora Sojae Apoplastic Effector PsXEG1 from a Host Inhibitor. Science 355 (6326), 710–714. doi:10.1126/science.aai7919

PubMed Abstract | CrossRef Full Text | Google Scholar

Mateos, P. F., Jimenez-Zurdo, J. I., Chen, J., Squartini, A. S., Haack, S. K., Martinez-Molina, E., et al. (1992). Cell-associated Pectinolytic and Cellulolytic Enzymes in Rhizobium Leguminosarum Biovar Trifolii. Appl. Environ. Microbiol. 58 (6), 1816–1822. doi:10.1128/aem.58.6.1816-1822.1992

PubMed Abstract | CrossRef Full Text | Google Scholar

Miwa, H., and Okazaki, S. (2017). How Effectors Promote Beneficial Interactions. Curr. Opin. plant Biol. 38, 148–154. doi:10.1016/j.pbi.2017.05.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Ni, H., Peng, Y., Wang, J., Wang, J., Yuan, Y., Fu, T., et al. (2022). Mapping of Quantitative Trait Loci Underlying Nodule Traits in Soybean (Glycine Max (L.) Merr.) and Identification of Genes Whose Expression Is Affected by the Sinorhizobium Fredii HH103 Effector Proteins NopL and NopT. Agronomy 12 (4), 946. doi:10.3390/agronomy12040946

CrossRef Full Text | Google Scholar

Nicolás, M. F., Hungria, M., and Arias, C. A. A. (2006). Identification of Quantitative Trait Loci Controlling Nodulation and Shoot Mass in Progenies from Two Brazilian Soybean Cultivars. Field Crops Res. 95 (2), 355–366. doi:10.1016/j.fcr.2005.04.012

CrossRef Full Text | Google Scholar

Plett, K. L., Bithell, S. L., Dando, A., and Plett, J. M. (2021). Chickpea Shows Genotype-specific Nodulation Responses across Soil Nitrogen Environment and Root Disease Resistance Categories. BMC Plant Biol. 21 (1), 310. doi:10.1186/s12870-021-03102-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Pukatzki, S., McAuley, S. B., and Miyata, S. T. (2009). The Type VI Secretion System: Translocation of Effectors and Effector-Domains. Curr. Opin. Microbiol. 12 (1), 11–17. doi:10.1016/j.mib.2008.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Qi, X., Li, M.-W., Xie, M., Liu, X., Ni, M., Shao, G., et al. (2014). Identification of a Novel Salt Tolerance Gene in Wild Soybean by Whole-Genome Sequencing. Nat. Commun. 5 (1), 1–11. doi:10.1038/ncomms5340

CrossRef Full Text | Google Scholar

Qi, Z., Huang, L., Zhu, R., Xin, D., Liu, C., Han, X., et al. (2014). A High-Density Genetic Map for Soybean Based on Specific Length Amplified Fragment Sequencing. PloS one 9 (8), e104871. doi:10.1371/journal.pone.0104871

PubMed Abstract | CrossRef Full Text | Google Scholar

Ratu, S. T. N., Hirata, A., Kalaw, C. O., Yasuda, M., Tabuchi, M., and Okazaki, S. (2021). Multiple Domains in the Rhizobial Type III Effector Bel2-5 Determine Symbiotic Efficiency with Soybean. Front. Plant Sci. 12, 1046. doi:10.3389/fpls.2021.689064

CrossRef Full Text | Google Scholar

Rodrigues, J. A., López-Baena, F. J., Ollero, F. J., Vinardell, J. M., Espuny, M. d. R., Bellogín, R. A., et al. (2007). NopM and NopD Are Rhizobial Nodulation Outer Proteins: Identification Using LC-MALDI and LC-ESI with a Monolithic Capillary Column. J. Proteome Res. 6 (3), 1029–1037. doi:10.1021/pr060519f

PubMed Abstract | CrossRef Full Text | Google Scholar

Roy, S., Liu, W., Nandety, R. S., Crook, A., Mysore, K. S., Pislariu, C. I., et al. (2020). Celebrating 20 Years of Genetic Discoveries in Legume Nodulation and Symbiotic Nitrogen Fixation. Plant Cell 32 (1), 15–41. doi:10.1105/tpc.19.00279

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 (7278), 178–183. doi:10.1038/nature08670

PubMed Abstract | CrossRef Full Text | Google Scholar

Skorpil, P., Saad, M. M., Boukli, N. M., Kobayashi, H., Ares-Orpel, F., Broughton, W. J., et al. (2005). NopP, a Phosphorylated Effector ofRhizobiumsp. Strain NGR234, Is a Major Determinant of Nodulation of the Tropical legumesFlemingia congestaandTephrosia Vogelii. Mol. Microbiol. 57 (5), 1304–1317. doi:10.1111/j.1365-2958.2005.04768.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Tampakaki, A. P. (2014). Commonalities and Differences of T3SSs in Rhizobia and Plant Pathogenic Bacteria. Front. Plant Sci. 5, 114. doi:10.3389/fpls.2014.00114

PubMed Abstract | CrossRef Full Text | Google Scholar

Tarutani, Y., Sasaki, A., Yasuda, M., Nakashita, H., Yoshida, S., Yamaguchi, I., et al. (2004). Identification of Three Clones Which Commonly Interact with the Kinase Domains of Highly Homologous Two Receptor-like Kinases, RLK902 and RKL1. Biosci. Biotechnol. Biochem. 68 (12), 2581–2587. doi:10.1271/bbb.68.2581

PubMed Abstract | CrossRef Full Text | Google Scholar

Teulet, A., Camuel, A., Perret, X., and Giraud, E. (2022). The Versatile Roles of Type III Secretion Systems in Rhizobia-Legume Symbioses. Annu. Rev. Microbiol. 76. doi:10.1146/annurev-micro-041020-032624

CrossRef Full Text | Google Scholar

Tsyganova, A. V., Brewin, N. J., and Tsyganov, V. E. (2021). Structure and Development of the Legume-Rhizobial Symbiotic Interface in Infection Threads. Cells 10 (5), 1050. doi:10.3390/cells10051050

PubMed Abstract | CrossRef Full Text | Google Scholar

van Ulsen, P., Rahman, S. u., Jong, W. S. P., Daleke-Schermerhorn, M. H., and Luirink, J. (2014). Type V Secretion: from Biogenesis to Biotechnology. Biochimica Biophysica Acta (BBA) - Mol. Cell Res. 1843 (8), 1592–1611. doi:10.1016/j.bbamcr.2013.11.006

CrossRef Full Text | Google Scholar

Wang, J., Wang, J., Liu, C., Ma, C., Li, C., Zhang, Y., et al. (2018). Identification of Soybean Genes Whose Expression Is Affected by the Ensifer Fredii HH103 Effector Protein NopP. Ijms 19 (11), 3438. doi:10.3390/ijms19113438

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, J., Wang, J., Ma, C., Zhou, Z., Yang, D., Zheng, J., et al. (2020). QTL Mapping and Data Mining to Identify Genes Associated with the Sinorhizobium Fredii HH103 T3SS Effector NopD in Soybean. Front. Plant Sci. 11, 453. doi:10.3389/fpls.2020.00453

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, J., Wang, J., Ma, C., Zhou, Z., Yang, D., Zheng, J., et al. (2020). QTL Mapping and Data Mining to Identify Genes Associated with the Sinorhizobium Fredii HH103 T3SS Effector NopD in Soybean. Front. Plant Sci. 11, 453. doi:10.3389/fpls.2020.00453

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, J., Wang, J., Tian, B., Li, Q., Zhu, J., Liu, X., et al. (2019). QTL Mapping and Gene Mining to Identify Genes on Soybean ( Glycine Max ) Associated with NopB of Sinorhizobium Fredii HH103. Plant Breed. 138 (6), 677–685. doi:10.1111/pbr.12714

CrossRef Full Text | Google Scholar

Wang, Q., Han, C., Ferreira, A. O., Yu, X., Ye, W., Tripathy, S., et al. (2011). Transcriptional Programming and Functional Interactions within the Phytophthora Sojae RXLR Effector Repertoire. Plant Cell 23 (6), 2064–2086. doi:10.1105/tpc.111.086082

PubMed Abstract | CrossRef Full Text | Google Scholar

Xia, Y., Ma, Z., Qiu, M., Guo, B., Zhang, Q., Jiang, H., et al. (2020). N - Glycosylation Shields Phytophthora Sojae Apoplastic Effector PsXEG1 from a Specific Host Aspartic Protease. Proc. Natl. Acad. Sci. U.S.A. 117 (44), 27685–27693. doi:10.1073/pnas.2012149117

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiang, Q.-W., Bai, J., Cai, J., Huang, Q.-Y., Wang, Y., Liang, Y., et al. (2020). NopD of Bradyrhizobium Sp. XS1150 Possesses SUMO Protease Activity. Front. Microbiol. 11, 386. doi:10.3389/fmicb.2020.00386

PubMed Abstract | CrossRef Full Text | Google Scholar

Xin, D.-W., Liao, S., Xie, Z.-P., Hann, D. R., Steinle, L., Boller, T., et al. (2012). Functional Analysis of NopM, a Novel E3 Ubiquitin Ligase (NEL) Domain Effector of Rhizobium Sp. Strain NGR234. PLoS Pathog. 8 (5), e1002707. doi:10.1371/journal.ppat.1002707

PubMed Abstract | CrossRef Full Text | Google Scholar

Xin, D., Qi, Z., Jiang, H., Hu, Z., Zhu, R., Hu, J., et al. (2016). QTL Location and Epistatic Effect Analysis of 100-seed Weight Using Wild Soybean (Glycine Soja Sieb. & Zucc.) Chromosome Segment Substitution Lines. PloS one 11 (3), e0149380. doi:10.1371/journal.pone.0149380

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, S., Tang, F., Gao, M., Krishnan, H. B., and Zhu, H. (2010). R Gene-Controlled Host Specificity in the Legume-Rhizobia Symbiosis. Proc. Natl. Acad. Sci. U.S.A. 107 (43), 18735–18740. doi:10.1073/pnas.1011957107

PubMed Abstract | CrossRef Full Text | Google Scholar

Zboralski, A., Biessy, A., and Filion, M. (2022). Bridging the Gap: Type III Secretion Systems in Plant-Beneficial Bacteria. Microorganisms 10 (1), 187. doi:10.3390/microorganisms10010187

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, B., Wang, M., Sun, Y., Zhao, P., Liu, C., Qing, K., et al. (2021). Glycine Max NNL1 Restricts Symbiotic Compatibility with Widely Distributed Bradyrhizobia via Root Hair Infection. Nat. Plants 7 (1), 73–86. doi:10.1038/s41477-020-00832-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, L., Chen, X.-J., Lu, H.-B., Xie, Z.-P., and Staehelin, C. (2011). Functional Analysis of the Type 3 Effector Nodulation Outer Protein L (NopL) from Rhizobium Sp. NGR234. J. Biol. Chem. 286 (37), 32178–32187. doi:10.1074/jbc.M111.265942

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, L., Chen, X.-J., Lu, H.-B., Xie, Z.-P., and Staehelin, C. (2011). Functional Analysis of the Type 3 Effector Nodulation Outer Protein L (NopL) from Rhizobium Sp. NGR234: Symbiotic Effects, Phosphorylation, and Interference with Mitogen-Activated Protein Kinase Signaling. J. Biol. Chem. 286 (37), 32178–32187. doi:10.1074/jbc.M111.265942

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, L., Yan, J., Fu, Z., Shi, W., Ninkuu, V., Li, G., et al. (2021). FoEG1, a Secreted Glycoside Hydrolase Family 12 Protein from Fusarium Oxysporum , Triggers Cell Death and Modulates Plant Immunity. Mol. Plant Pathol. 22 (5), 522–538. doi:10.1111/mpp.13041

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Y., Liu, X., Chen, L., Fu, Y., Li, C., Qi, Z., et al. (2018). Mining for Genes Encoding Proteins Associated with NopL of Sinorhizobium Fredii HH103 Using Quantitative Trait Loci in Soybean (Glycine Max Merr.) Recombinant Inbred Lines. Plant Soil 431 (1), 245–255. doi:10.1007/s11104-018-3745-z

CrossRef Full Text | Google Scholar

Keywords: soybean, symbiosis, nodulation, glycosyl hydrolase, QTL

Citation: Wang J, Ma C, Ma S, Zheng H, Feng H, Wang Y, Wang J, Liu C, Xin D, Chen Q and Yang M (2022) GmARP is Related to the Type III Effector NopAA to Promote Nodulation in Soybean (Glycine max). Front. Genet. 13:889795. doi: 10.3389/fgene.2022.889795

Received: 04 March 2022; Accepted: 05 May 2022;
Published: 27 May 2022.

Edited by:

Aamir Raina, Aligarh Muslim University, India

Reviewed by:

Javaid Akhter Bhat, Nanjing Agricultural University, China
Yongqing Jiao, Henan Agricultural University, China
Hongwei Jiang, Jilin Academy of Agricultural Sciences (CAAS), China

Copyright © 2022 Wang, Ma, Ma, Zheng, Feng, Wang, Wang, Liu, Xin, Chen and Yang. 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: Dawei Xin, xdawei@163.com; Qingshan Chen, qshchen@126.com; Mingliang Yang, yml5419@126.com

These authors have contributed equally to this work

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