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. 2020 Apr 3;21:280. doi: 10.1186/s12864-020-6668-z

Fine mapping of a Phytophthora-resistance locus RpsGZ in soybean using genotyping-by-sequencing

Bingzhi Jiang 1,2,3,#, Yanbo Cheng 1,2,#, Zhandong Cai 1,2, Mu Li 1,2, Ze Jiang 1,2, Ruirui Ma 1,2, Yeshan Yuan 1,2, Qiuju Xia 4, Hai Nian 1,2,✉
PMCID: PMC7126358  PMID: 32245402

Abstract

Background

Phytophthora root rot (PRR) caused by Phytophthora sojae (P. sojae) is one of the most serious limitations to soybean production worldwide. The identification of resistance gene(s) and their incorporation into elite varieties is an effective approach for breeding to prevent soybean from being harmed by this disease. A valuable mapping population of 228 F8:11 recombinant inbred lines (RILs) derived from a cross of the resistant cultivar Guizao1 and the susceptible cultivar BRSMG68 and a high-density genetic linkage map with an average distance of 0.81 centimorgans (cM) between adjacent bin markers in this population were used to map and explore candidate gene(s).

Results

PRR resistance in Guizao1 was found to be controlled by a single Mendelian locus and was finely mapped to a 367.371-kb genomic region on chromosome 3 harbouring 19 genes, including 7 disease resistance (R)-like genes, in the reference Willliams 82 genome. Quantitative real-time PCR assays of possible candidate genes revealed that Glyma.03 g05300 was likely involved in PRR resistance.

Conclusions

These findings from the fine mapping of a novel Rps locus will serve as a basis for the cloning and transfer of resistance genes in soybean and the breeding of P. sojae-resistant soybean cultivars through marker-assisted selection.

Keywords: Soybean, Phytophthora root rot, Resistance locus, SNP, Fine mapping

Background

Phytophthora root rot (PRR) caused by Phytophthora sojae is one of the most important soil-borne diseases in many soybean-producing regions of the world and causes significant soybean production losses [1].

Soybean resistance to P. sojae is mainly controlled by two mechanisms, involving complete or partial resistance genes [2, 3]. The former type of resistance is related to a single dominant resistance gene [4–19], with P. sojae interacting with Rps genes in a gene-for-gene system preventing disease development in plants [20], while the latter involves multiple genes and limits damage to the plant [3, 21].

To our knowledge, more than 33 Rps genes/alleles on 9 different soybean chromosomes have been identified and mapped, among which Rps1 (including five alleles, Rps1a, Rps1b, Rps1c, Rps1d and Rps1 k), Rps7, Rps9, RpsYu25, RpsYD29, RpsWY, RpsUN1, RpsHN, RpsHC18, RpsQ, RpsX and an unnamed Rps gene in Wascshiroge and E00003 soybean were mapped to chromosome 3 [7, 9, 10, 13, 14, 22–31]. Rps3 (including three alleles, Rps3a, Rps3b and Rps3c) and RpsSN10 were mapped to chromosome 13, which is linked with Rps8 [6, 22, 32, 33]. Rps2 and RpsUN2 were found on chromosome 16 [22, 28]. Additionally, Rps4, Rps5, Rps6, Rps12 and RpsJS are located on chromosome 18 [16, 19, 22, 34, 35], and RpsYB30, RpsZS18, RpsSu, Rps10 and Rps11 are located on chromosomes 19, 2, 10, 17 and 7, respectively [8, 11, 18, 36, 37]. Among the identified Rps genes on chromosome 3, Rps1 k was mapped to a 125-kb region and cloned and was found to show an NBS-LRR structure that is typical of a resistance protein [24, 38]. RpsYD29 was mapped to a 204.8-kb region, and two nucleotide-binding site and leucine-rich repeat (NBS-LRR)-type genes, Glyma03g04030.1 and Glyma03g04080.1, were identified [27]. Moreover, RpsQ was finely mapped to a 118-kb region [13].

Recently, with the progress of massively parallel DNA sequencing platforms, whole-genome sequencing (WGS) has become the primary strategy for next-generation sequencing (NGS) for SNP discovery and genotyping in large populations. These methods include resequencing, genotyping by-sequencing (GBS) [39], specific length amplified fragment sequencing (SLAF-seq) [40], restriction site-associated DNA tag sequencing (RAD-seq) [41], and 2b-RAD [42]. NGS technologies have been widely utilized in soybean, wheat, sunflower and other crops to develop SNP markers and map genes/QTLs [11, 43–47]. The dominant soybean Phytophthora root rot resistance gene RpsWY was mapped using a high-density soybean genetic map comprising 3469 recombination bin markers using RAD-seq technology in 196 F7:8 RILs [31].

In this study, we found that the cultivar Guizao1 presented broad-spectrum resistance and may carry Rps genes or alleles. The objectives of our project were to characterize the inheritance of the Rps gene(s) and finely map the candidate gene(s) of the resistant cv. Guizao1 using a high-density genetic linkage map comprising 3748 recombination bin markers using RAD-seq technology in 228 F8 RILs derived from a cross of Guizao1 × BRSMG68.

Results

Phenotype reaction of the parents to P. sojae isolates

To investigate the phenotypes of Guizao1 and BRSMG68, six isolates of P. sojae were used to test the reactions of the genetically different soybean varieties (Table 1). The inoculation results showed that BRSMG68 showed the same SSSSSS reaction as Williams, indicating that BRSMG68 did not contain known disease resistance genes. Guizao1 (RSRSSS), Chapman (RRRRSR), L85–3059 (RSRSSR) and Harosoy (RSSSSS) were PRR resistant to the P. sojae PNJ4 strain, while other varieties were PRR susceptible to the PNJ4 strain (Table 1). Furthermore, Guizao1 also PRR resistant to the PNJ1 strain but PRR susceptible to the Pm28, PNJ3, Pm14, and P6497 strains, which was different from what was observed for Chapman, L85–3059 and Harosoy. The inoculation results suggest that Guizao1 may contain a novel Rps gene or resistance locus.

Table 1.

Differential reactions of soybean hosts and cultivars to strains of P. sojae

Cultivar Rps Phytophthora sojae strains
PNJ4 Pm28 PNJ1 PNJ3 Pm14 P6497
Guizao1 R S R S S S
BRSMG68 S S S S S S
Harlon 1a S S R S S R
Harosoy13XX 1b S S R S S S
Williams79 1c S S R S S R
PI103091 1d S S S S S R
Williams82 1 k S S R S S R
L76–988 2 S S S S S S
Chapman 3a R R R R S R
PRX146–36 3b S S S S R R
PRX145–48 3c S S S S S S
L85–2352 4 S R S R S R
L85–3059 5 R S R S S R
Harosoy62XX 6 S S S R S R
Harosoy 7 R S S S S S
Williams rps S S S S S S
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Genetic analysis of resistance to P. sojae PNJ4

Among the 228 F8:11 RILs obtained from the cross of Guizao1 × BRSMG68, 113 RILs were homozygous resistant, and 115 RILs were homozygous susceptible, with the segregation ratio fitting with the Mendelian genotypic ratio of 1R:1S (X2 = 0.004, P = 0.95, Table 2). These results indicated that PRR resistance in Guizao1 was controlled by a single locus, which we temporarily designated as RpsGZ.

Table 2.

Segregation analysis of resistance to P. sojae PNJ4 in F8:11 (Guizao1 × BRSMG68)

Cross or Parenta Total no. of plants/lines Expected ratio and goodness of fit
Resistance Susceptibility Expected ratio X2 P
BRSMG68 0 180
Guizao1 180 0
F8:11(Guizao1 × BRSMG68) 113 115 1:1 0.004 0.95
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(a) BRSMG68 was PRR-susceptible cultivars to PNJ4 strain, and Guizao1 was PRR-resistant to PNJ4 strain

Fine mapping of RpsGZ by high-throughput genome-wide resequencing

Based on the high-density map constructed with bins as markers and the use of CIM with WinQTLCart for PRR resistance locus localization, only one PRR resistance locus was detected on chromosome 3 in Guizao1 (Fig. 1), with a log-likelihood (LOD) value of 88.28, which explained 81.75% of the phenotypic variance. In the high-density linkage map (Additional file: Fig. S1), RpsGZ was placed in bin31 according to the results for six recombinant monoclonal lines (Fig. 2). This placed RpsGZ in a region between 4,003,401 and 4,370,772 bp in GlymaWm82.a2.v1, covering appropriately 367,371 bp. A BLAST search showed 19 annotated genes based on this assembly (Table 3; http://www.soybase.org). The putative functions of these predicted genes were annotated via BLAST searches against the TAIR protein datasets and the Phytozome Genomics Resource (https://phytozome.jgi.doe.gov/pz/portal.html), and five genes (Glyma.03G034400, Glyma.03G034500, Glyma.03G034800, Glyma.03G034900 and Glyma.03G035300) were found to contain nucleotide-binding site (NBS)-leucine-rich repeat (LRR) domains, which are important domains of plant disease resistance genes. Glyma.03G035900 is a membrane attack complex/perforin (MACPF) domain-encoding gene, and the MACPF proteins play a role in immunity (http://pfam.xfam.org). Glyma.03G036000 encodes a serine/threonine protein kinase that plays an important role in signalling and plant defence activities. Therefore, these seven R-like genes were most likely the candidate genes of RpsGZ.

Fig. 1.

Fig. 1

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Results of RpsGZ locus analysis using the CIM method in the F8:11 RILs. The LOD value distribution in the whole genome of the RIL population from a cross of Guizao1 × BRSMG68. RpsGZ was amplified at the site of bin31 on chromosome 3, which explained 81.8% of the phenotypic variance

Fig. 2.

Fig. 2

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Fine mapping of the RpsGZ locus. Recombinant inbred lines showing recombination near the RpsGZ locus are shown with blue and red bars representing homozygous genotypes from BRSMG68 and Guizao1, respectively. Line 120, 289 and 303 were PRR-susceptible plants (S). Line 77, 313 and 382 were PRR-resistant plants (R)

Table 3.

Annotations of the candidate genes in the RpsGZ region on chromosome 3

No Gene namea Annotation Orthologb
1 Glyma.03G034400 Disease resistance protein (NBS-LRR class), putativec AT3G14470.1
2 Glyma.03G034500 Disease resistance protein (NBS-LRR class), putative AT3G14470.1
3 Glyma.03G034600 No items to show AT1G62130.1
4 Glyma.03G034700 No items to show AT2G01050.1
5 Glyma.03G034800 Disease resistance protein (NBS-LRR class), putative AT3G14470.1
6 Glyma.03G034900 Disease resistance protein (NBS-LRR class), putative AT3G14470.1
7 Glyma.03G035000 Domain of unknown function DUF223 AT2G05642.1
8 Glyma.03G035100 PIF1-like helicase AT3G51690.1
9 Glyma.03G035200 CW-type Zinc Finger; B3 DNA binding domain AT4G32010.1
10 Glyma.03G035300 Disease resistance protein (NBS-LRR class), putative. Protein tyrosine kinase AT3G08760.1
11 Glyma.03G035400 PPR repeat AT3G42630.1
12 Glyma.03G035500 Plant mobile domain AT2G04865.1
13 Glyma.03G035600 Protease inhibitor/seed storage/LTP family AT3G08770.1
14 Glyma.03G035700 No items to show AT5G59310.1
15 Glyma.03G035800 Pollen allergen; Rare lipoprotein A (RlpA)-like double-psi beta-barrel AT5G05290.1
16 Glyma.03G035900 Membrane attack complex/Perforin domain AT1G29690.1
17 Glyma.03G036000 Protein tyrosine kinase; Serine-threonine protein kinase AT5G01850.1
18 Glyma.03G036100 No items to show
19 Glyma.03G036200 Multidrug resistance protein AT2G38510.1
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(a) Glyma ID from the Williams 82 soybean reference genome Wm82.a2.v1 (http://soybase.org)

(b) Accession number of Arabidopsis orthologs were obtained from the Arabidopsis Information Resource (TAIR10, http://www.arabidopsis.org/)

(c) NBS-LRR: Nucleotide-binding site (NBS) -leucine-rich repeat (LRR) domains

Gene ontology (GO) enrichment analysis of the candidate genes

The AgriGO toolkit was used to perform gene ontology (GO) analysis [48, 49]. Among the 19 genes in the region close to RpsGZ detected in this study, 9 genes were found to show at least one GO annotation (Additional file: Fig. S2, Table S1 and Table S2). These genes were predicted to be involved in biological processes and molecular functions including protein kinase activity, protein amino acid phosphorylation, ribonucleotide binding, cellular processes, ADP binding, and nucleoside binding. In the molecular function category, the GO terms “adenyl nucleotide binding” “purine ribonucleotide binding” and “adenyl ribonucleotide binding” were significantly enriched (Fig. S2). Among the GO terms, both Glyma.03G035300 and Glyma.03G036000 were associated with the term “GO:0006468 protein amino acid phosphorylation”. Protein phosphorylation is a ubiquitous mechanism for modulating protein function [50] and plays a role in defence mechanisms against disease.

Expression profiling for the identification of resistance genes

To confirm which genes were induced under infection with P. sojae, the expression patterns of 7 R-like genes were examined in Guizao1 and BRSMG68 using qRT-PCR analysis (Fig. 3). The expression levels of four genes (i.e., Glyma.03G034400, Glyma.03G034500, Glyma.03G034900 and Glyma.03G035900) were upregulated at most time points after infection in Guizao1 and BRSMG68. However, the other genes (Glyma.03 g034800, Glyma.03 g035300 and Glyma.03 g036000) were downregulated at 3, 6, 24 and 36 h after treatment in Guizao1 and BRSMG68.

Fig. 3.

Fig. 3

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Relative expression levels of the candidate genes of the RpsGZ locus. Y-axes indicate the ratios of the relative fold differences in expression levels between samples infected with P. sojae PNJ4. The primary leaf samples were harvested at 0, 3, 12, 24, 36, 48, and 72 h post-inoculation. The transcript levels of the candidate genes of the RpsGZ locus were assessed by qRT-PCR using the 2–∆∆Ct method with the actin gene as an internal control

The expression of Glyma.03G034400, Glyma.03G034500, Glyma.03G034900 and Glyma.03 g036000 in the susceptible cv. BRSMG68 was higher than in the resistant cv. Guizao1 at most time points after infection. The expression of Glyma.03G035300 in Guizao1 was higher than that in BRSMG68 at 3, 6, and 12 h after treatment, reaching a maximum expression increase of approximately 2.1-fold at 12 h after treatment, followed by a decrease from 24 to 72 h after treatment. A similar expression pattern was observed for the Glyma.03G034800 gene, with a relatively low expression level. These results showed that the Glyma.03G035300 gene may be involved in disease-defence mechanisms.

Discussion

Soybean is one of the most important crops in the world. There are a large number of soybean accessions in China, among which many PRR-resistant cultivars/lines were identified in a previous study [10, 13, 14, 51–55]. In the present study, the Guizao1 cultivar was PRR resistant to P. sojae PNJ4 and PNJ1, thus differing from the other soybean cultivars tested (Table 1). Genetic analyses indicated that resistance to P. sojae PNJ4 in Guizao1 was controlled by a single locus.

To more finely map the PRR resistance locus, RpsGZ was mapped in an RIL population based on genotyping through resequencing, resulting in the integration of 54,002 SNPs into 3748 recombination bin units. These markers were then employed to construct a high-density bin linkage map with an average distance of 0.81 cM between adjacent markers [56]. The map exhibited well-distributed linkage distances and a higher resolution than the conventional map, and gene/QTL mapping was thus more accurate and reliable. The position of RpsGZ was refined through fine mapping to a 367,371 bp interval between 4,003,401 and 4,370,772 bp on chromosome 3, which was the region rich in Rps genes.

Previous studies have identified 17 known Rps genes (alleles) and mapped them to chromosome 3 before RpsGZ, including five alleles of Rps1 (Rps1a, 1b, 1c, 1d, 1 k) [23, 24, 38, 57, 58], Rps7 [23], Rps9 [29], RpsYu25 [25], an Rps gene in Waseshiroge [26], RpsYD29 [27], an Rps gene in E00003 soybean within the Rps1 k interval [30], RpsHC18 [10], RpsQ [13], RpsHN [14], RpsX [9], RpsWY [31], and RpsUN1 [28]. Nevertheless, the positional relationships of these Rps genes had not been confirmed, and some of the mapping intervals for these Rps genes overlapped. Therefore, whether these genes were allelic or located at a new locus needed to be confirmed.

In the present study, RpsGZ was found to be a distinct gene from the Rps1 alleles because five varieties carrying Rps1 (1a, 1b, 1c, 1d and 1 k) were PRR susceptible to P. sojae PNJ4, although the candidate region of RpsGZ partly overlapped with the region of Rps1. The Wayao cultivar (RpsWY) was susceptible to P. sojae PNJ4, Guizao1 was resistant to P. sojae PNJ4 [31], and these two mapping parents exhibited different resistance reactions, suggesting that RpsGZ may be different from RpsWY. Compared with the nucleotide positions of the Rps genes mapped to chromosome 3 (Table 4) according to the Glyma 2.0 soybean gene annotation database (http://soybase.org/), the positional information for RpsGZ suggested that RpsGZ was distinct from 9 known Rps genes, including Rps1a, Rps1b, Rps1c, Rps1d, Rps9, RpsQ, RpsX, RpsYu25 and RpsHC18.

Table 4.

The location of Rps genes on chromosome 3

No Rps gene Molecular marker interval Physical posistion (bp)
1 RpsGZ 4,003,401 – 4,370,772a
2 RpsX 2,910,913 – 3,153,254a
3 Rps9 Satt631 Satt152 2,943,883 – 3,366,655a
4 RpsQ BARCSOYSSR_03_0165 InDel281 2,968,566 – 3,087,579a
5 Rps1a Satt159 Satt009 3,197,845 – 3,932,116a
6 RpsYu25 Satt152 Sat_186 3,366,405 – 3,488,905a
7 Rps1d Satt152 Sat_186 3,366,405 – 3,488,905a
8 Rps1 Sat_186 Satt530 3,488,616 – 5,669,877a
9 RpsYD29 SattWM82–50 Satt1 k4b 3,857,715 – 4,062,474b
10 Rps7 Satt009 Satt125 3,931,955 – 18,415,710a
11 Rps gene in Waseshiroge Satt009 T003044871 3,910,260 – 4,486,048b
12 RpsUN1 BARCSOYSSR_03_0233 BARCSOYSSR_03_0246 4,020,587 – 4,171,402a
13 RpsHN SSRSOYN-25 SSRSOYN-44 4,227,863 – 4,506,526b
14 Rps1 k 4,457,810 – 4,641,921b
15 RpsWY 4,466,230 – 4,502,773b
16 Rps gene in E00003 4,475,877 – 4,563,799b
17 RpsHC18 BARCSOYSSR_03_0265 BARCSOYSSR_03_0272 4,446,594 – 4,611,282a
18 Rps1b Satt530 Satt584 5,669,877 – 9,228,144a
19 Rps1c Satt530 Satt584 5,669,877 – 9,228,144a
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a:the nucleotide positions of the markers were determined through a BLAST search in the Glyma 2.0 soybean gene annotation database (http://soybase.org/); b:the nucleotide positions of the markers were determined according to the Glyma 1.0 soybean gene annotation database (http://soybase.or

In addition, Rps7 was mapped to a 14,483,755 bp genomic region (3,931,955–18,415,710 bp) flanked by the SSR markers Satt009 and Satt125 [23]. RpsUN1 was localized to the region between 4,020,587 and 4,171,402 bp, flanked by two SSR markers, BARCSOYSSR_03_0233 and BARCSOYSSR_03_0246, based on the Glyma 2.0 soybean gene annotation database of the Williams 82 genome sequence [28]. Among the regions of four other known Rps genes according to the Glyma1.0 annotations, the Waseshiroge Rps gene was located between Satt009 and T003044871 and may reside in the nucleotide region between 3,910,260 and 4,486,048 bp of the Williams 82 genome [26]. The Rps gene in cv. E00003 was positioned within the interval of 4,475,877 to 4,563,799 bp [30]. RpsHN was mapped to a 278.7 kb genomic region flanked by the SSR markers SSRSOYN-25 and SSRSOYN-44 and may reside at nucleotide position 4,227,863 and 4,506,526 bp [14]. RpsYD29 was flanked by the markers SattWM82–50 and Satt1 k4b, which were located at nucleotide positions 3,857,715 and 4,062,474 bp [27]. RpsGZ was also located in a region between 4,022,530 and 4,483,231 bp in GlymaWm82.a1.v1. Therefore, RpsGZ and the Rps7, RpsHN, RpsUN1, RpsYD29, and Rps genes from Waseshiroge and E00003 may be tightly linked genes, different alleles of the same gene, or identical alleles of the same gene. However, further confirmation is needed. Moreover, if the sources of resistance mentioned above carry different resistance genes, a pyramiding effect of different resistance genes may increase the resistance of soybean cultivars to P. sojae.

The NBS-LRR genes are the extremely large family of plant disease resistance genes [59], and the local tandem duplication of NBS genes has created many homogenous clustered loci in each legume genome studied to date [60]. Meziadi et al. suggested that the NBS-LRR proteins are encoded by one of the largest and most variable multigene families and are often organized into complex clusters of tightly linked genes in plants [61]. In soybean, 319 putative NBS-LRR genes and 175 disease resistance QTLs have been found, among which 36 NBS-LRR genes are clustered on chromosome 3, and most of the NBS-LRR genes are located at the front end of chromosome 3 [62]. The 17 identified Rps genes were all mapped to regions between 2,943,883 and 9,228,144 bp on chromosome 3. In addition, some genes or QTLs for resistance to abiotic or biotic stresses in soybean have been mapped near the region of RpsGZ on chromosome 3. For instance, the QTL Raso1 for major foxglove aphid resistance was mapped to a 63-kb interval containing an NBS-LRR-type R-like gene and two other genes in the Williams 82 sequence assembly [63]. A minor foxglove aphid resistance QTL in PI 366121 [64], two soybean sudden death syndrome resistance QTLs, di1 [65, 66] (also known as qRfs6 [67]) and SDS14–1 [68], and the major QTLs or dominant loci underlying salt tolerance in the soybean cultivars Tiefeng8 and Jidou12 [69, 70] might be clustered in the region as Rps resistance genes. Among the 19 genes in the region close to RpsGZ detected in this study, five gene candidates were NB-ARC domain and leucine-rich repeat-containing (NBS-LRR) genes, which are a typical type of so-called R-genes. NBS-LRR-type genes have been implicated in the resistance of Rps1 k [38]. qRT-PCR analysis showed differential expression patterns of the NBS-LRR-type gene Glyma.03 g05300 between Guizao1 and BRSMG68, and this gene may be involved in defence mechanisms against disease.

Conclusions

We identified and finely mapped a novel Rps locus (RpsGZ) that can confer resistance to P. sojae PNJ4 and PNJ1 on chromosome 3, which could be used for the breeding of Phytophthora-resistant cultivars. The R-like gene Glyma.03 g05300 may be involved in disease-defence mechanisms. This study provides information regarding the genetic location of the Rps resistance locus, which is useful for breeders to apply marker-assisted selection (MAS) in soybean breeding programmes to achieve resistance to P. sojae.

Methods

Plant materials

The mapping populations of 228 F8:11 recombinant inbred lines (RILs) derived from a Guizao1 (P1, PRR resistance) × BRSMG68 (P2, PRR susceptible) cross were developed via the single-seed descent method [71]. The soybean cv. Guizao1 was developed in Guangxi, China. BRSMG68 was introduced from Brazil. Both cv. Guizao1 and BRSMG68 were obtained from the Guangdong Subcenter of the National Center for Soybean Improvement, South China Agricultural University.

To determine which Rps gene or Rps gene combination was present in Guizao1, a differential set of 13 cultivars/genotypes was used. Each cultivar/genotype carried a single known Rps gene: Harlon (Rps1a), Harosoy13XX (Rps1b), Williams79 (Rps1c), PI103091 (Rps1d), Williams82 (Rps1 k), L76–988 (Rps2), L83–570 (Rps3a), PRX146–36 (Rps3b), PRX145–48 (Rps3c), L85–2352 (Rps4), L85–3059 (Rps5), Harosoy62XX (Rps6) and Harosoy (Rps7). The variety Williams (no known Rps gene) was used as a susceptible variety to verify successful inoculation. All the different hosts used for PRR identification were kindly provided by the National Center for Soybean Improvement, Nanjing Agricultural University.

P. sojae isolates

Six P. sojae isolates (PNJ4, Pm14, Pm28, PNJ1, PNJ3, P6497), which were provided by Prof. Yuanchao Wang and Han Xing at Nanjing Agricultural University were preserved on V8 juice agar medium (10% V8 vegetable juice, 0.02% CaCO3 and 1.0% Bacto-agar) [12, 14]. These P. sojae isolates were used in the phenotype test of disease resistance to PRR among Guizao1 and BRSMG68 and 13 different cultivars/genotypes. The P. sojae PNJ4 strain (virulence formula is 1a, 1b, 1c, 1d, 1 k, 2, 3b, 3c, 4, 6) was used to evaluate the RIL population of Guizao1 × BRSMG68.

Evaluation of genetic materials for Phytophthora resistance

The method of injured hypocotyl inoculation with slight modification was utilized for disease evaluation in this experiment [12, 25]. For inoculation with P. sojae, 15 plants of each host used for PRR identification and each line of the RIL population and the parents were planted in 11.8-cm-diameter plastic pots filled with vermiculite and kept in an illumination incubator (26/22 °C day/night temperature, 75% relative humidity, 12 h light/12 h dark photoperiod and average light intensity of ~ 10,000 Lx).

Seven days after sowing, the seedlings were inoculated. A thinner uniform wound was cut in the soybean cotyledon under a section of 1–2 cm by using a single-sided blade sterilized with the outer flame of an alcohol lamp. The active edges of the colonies of the P. sojae isolates cultured in the incubator at 25 °C for 5 days were cut into approximately 3 mm2 blocks and then embedded in the wound with the mycelium surface inward. After inoculation, the seedlings were placed on a culture shelf surrounded by plastic film; the moisture content was maintained at 90% relative humidity and the temperature at 25 °C for 24 h, and the plants were sprayed with sterile water, then transferred to the illumination incubator (26/22 °C day/night temperature, 75% relative humidity, 12 h light/12 h dark photoperiod and average light intensity of ~ 10,000 Lx). The evaluation test was set up with three biological experiments. To test the phenotypes of the RIL population inoculated with the PNJ4 isolate, Williams (rps gene) was used as the susceptible cultivar to indicate successful inoculation. All the experiments were performed in 2017 and 2018 at South China Agricultural University.

The reactions of all materials were recorded as the percentage of dead seedlings at 5 days after inoculation. Cultivars for PRR identification were considered resistant if all the seedlings were alive with no expanded lesions. Cultivars were considered susceptible if all the seedlings were dead. The RIL families with 70–100% dead seedlings were considered to be homozygous susceptible (S), while the RIL families with 0–30% dead seedlings were considered to be resistant (R), and the RIL families with 31–69% dead seedlings were considered to be heterozygous resistant (Rs) [12].

Data analysis and candidate gene prediction

A goodness-of-fit to the Mendelian segregation ratio was calculated via Chi-square (X2) analysis to examine the segregation patterns of the phenotypes.

The linkage map used in this study was constructed previously by the Guangdong Subcenter of National Center for Soybean Improvement, South China Agricultural University. This map included 3748 bins and was 3031.9 cM in length, with an average distance of 0.81 cM between adjacent markers on 20 chromosomes [56]. Composite interval mapping (CIM) was used to detect gene/QTL-associated PRR resistance using phenotypic data via in WinQTLCart 2.5 software (http://statgen.ncsu.edu/qtlcart/WQTLCart.htm). The LOD thresholds for gene/QTL significance were determined by a test (1000 replications) with a genome-wide scope at the 5% level of significance. Gene mapping results were compared to SoyBase, and the predicted genes in the target regions were analysed according to the annotation of the soybean reference genome (Wm82.a2.v1) in Soybase (http://www.soybase.org/). The functional predictions of genes were manually confirmed by using the BLAST function in the NCBI (http://www.ebi.ac.uk/Tools/sss/ncbiblast/) and TAIR protein datasets (http://www.arabidopsis.org/).

Expression analysis of candidate genes

Guizao1 and BRSMG68 seedlings were cultivated for 7 days and inoculated with P. sojae PNJ4, then transferred to the illumination incubator at 25 °C, 75% relative humidity and a 12 h light/12 h dark photoperiod. Total RNA was isolated from the primary leaves at 0, 3, 12, 24, 36, 48, and 72 h postinoculation. Total RNA was extracted from the plants using TRIzol reagent (Invitrogen, USA) according to the manufacturer’s instructions, and 1 μg of DNase-treated RNA was subjected to reverse transcription using a PrimeScript RT Reagent kit with gDNA Eraser (Takara, Japan).

Candidate genes in the target region were predicted using the Williams 82 soybean reference genome GlymaWm82.a2.v1 (http://soybase.org). qRT-PCR was conducted to obtain the expression profiles of candidate genes using primers designed with Primer Premier 5.0. The housekeeping gene Actin was used as a control. The specific primers for each gene are listed in additional file Table S3.

qRT-PCR was performed with a CFX96 Real-Time PCR Detection System (Bio-Rad, USA) using a KAPA SYBR® FAST qPCR Kit (Kapa Biosystems). All reactions were carried out in 20-μl volumes containing 1 μl cDNA as a template. The thermal cycling conditions were as follows: 95 °C for 3 min, followed by 40 cycles of 95 °C for 10 s, 55.0–63.3 °C (depending on the gene) for 10 s and 72 °C for 30 s. Three independent biological repeats were performed to ensure accurate statistical analysis. The qRT-PCR data were evaluated using the 2−ΔΔCt method [72].

Supplementary information

12864_2020_6668_MOESM1_ESM.pdf (75.7KB, pdf)

Additional file 1: Table S1. Gene ontology (GO) enrichment analysis of the candidate genes. Table S2. The biological process and molecular function ontology of the candidate genes. Table S3. Primers of the candidate genes for real-time PCR.

12864_2020_6668_MOESM2_ESM.pdf (256.6KB, pdf)

Additional file 2: Figure S1. Twenty linkage groups of the soybean high-density genetic map. A high-density bin linkage map was constructed, covering 3032 cM, with an average distance of 0.81 cM between adjacent bins. The bin markers and their locations are shown on the right and left sides, respectively.

12864_2020_6668_MOESM3_ESM.pdf (6.9MB, pdf)

Additional file 3: Figure S2. Gene ontology (GO) enrichment analysis of the candidate genes of the RpsGZ locus. AgriGO (http://bioinfo.cau.edu.cn/agriGO/) was used to analyse the candidate genes of the RpsGZ locus, and significantly enriched GO categories under molecular functions are shown in orange and yellow boxes.

Acknowledgements

We thank Yuanchao Wang and Han Xing (Nanjing Agricultural University, Nanjing, PR China) for their kindly supplying the P. sojae PNJ4 strain and other strains.

Abbreviations

bp

Base pair

CIM

Composite interval mapping

cM

Centimorgan

cv.

Cultivar

GO

Gene ontology

MAS

Molecular-assisted selection

NGS

Next-generation sequencing

PPR

Phytophthora root rot

P. sojae

Phytophthora sojae

RIL

Recombinant inbred line

SNP

Single nucleotide polymorphism

LOD

Log-likelihood

Authors’ contributions

BJ and YC performed the experiments and analysed the data. YC and ML generated the RILs population. ZC provided guidance on the molecular analysis. ZJ, RM and YY conducted phenotypic screenings. QX analysed the data of genome-wide sequencing to produce the final linkage and bin maps. HN planned the research, supervised the project and prepared the manuscript. All authors read and approved the final manuscript.

Authors’ information

Bingzhi Jiang and Yanbo Cheng contributed equally to this work.

Funding

This work was supported by the National Key R&D Program of China (2018YFD0201006); the China Agricultural Research System (CARS-04-PS09); the Guangdong Agricultural Research System (2019KJ136) and a project of the Key Laboratory of Plant Molecular Breeding of Guangdong Province (GPKLPMB201905). The funding bodies had no role in the study design, data collection, analysis and interpretation, decision to publish, or writing of the manuscript.

Availability of data and materials

The datasets supporting the results of this study are included in the manuscript. Soybean seeds are available from the Guangdong Subcenter of the National Center for Soybean Improvement, PR China.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Bingzhi Jiang and Yanbo Cheng contributed equally to this work.

Contributor Information

Bingzhi Jiang, Email: jiangbz2004@163.com.

Yanbo Cheng, Email: ybcheng@scau.edu.cn.

Zhandong Cai, Email: 785657175@qq.com.

Mu Li, Email: 928094297@qq.com.

Ze Jiang, Email: 549100485@qq.com.

Ruirui Ma, Email: 1635429599@qq.com.

Yeshan Yuan, Email: 1227289165@qq.com.

Qiuju Xia, Email: xiaqiuju@genomics.cn.

Hai Nian, Email: hnian@scau.edu.cn.

Supplementary information

Supplementary information accompanies this paper at 10.1186/s12864-020-6668-z.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

12864_2020_6668_MOESM1_ESM.pdf (75.7KB, pdf)

Additional file 1: Table S1. Gene ontology (GO) enrichment analysis of the candidate genes. Table S2. The biological process and molecular function ontology of the candidate genes. Table S3. Primers of the candidate genes for real-time PCR.

12864_2020_6668_MOESM2_ESM.pdf (256.6KB, pdf)

Additional file 2: Figure S1. Twenty linkage groups of the soybean high-density genetic map. A high-density bin linkage map was constructed, covering 3032 cM, with an average distance of 0.81 cM between adjacent bins. The bin markers and their locations are shown on the right and left sides, respectively.

12864_2020_6668_MOESM3_ESM.pdf (6.9MB, pdf)

Additional file 3: Figure S2. Gene ontology (GO) enrichment analysis of the candidate genes of the RpsGZ locus. AgriGO (http://bioinfo.cau.edu.cn/agriGO/) was used to analyse the candidate genes of the RpsGZ locus, and significantly enriched GO categories under molecular functions are shown in orange and yellow boxes.

Data Availability Statement

The datasets supporting the results of this study are included in the manuscript. Soybean seeds are available from the Guangdong Subcenter of the National Center for Soybean Improvement, PR China.

Articles from BMC Genomics are provided here courtesy of BMC

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