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Article

Identification and Fine-Mapping of Clubroot (Plasmodiophora brassicae) Resistant QTL in Brassica rapa

Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Zhongguancun, South Street No. 12, Haidian District, Beijing 100081, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Horticulturae 2022, 8(1), 66; https://doi.org/10.3390/horticulturae8010066
Submission received: 3 December 2021 / Revised: 29 December 2021 / Accepted: 7 January 2022 / Published: 11 January 2022

Abstract

:
European fodder turnips (Brassica rapa ssp. rapifera) were identified as sources of clubroot resistance (CR) and have been widely used in Brassica resistance breeding. An F2 population derived from a cross between a resistant turnip and a susceptible Chinese cabbage was used to determine the inheritance and locating the resistance Quantitative Trait Loci (QTLs). The parents showed to be very resistant/susceptible to the field isolates (pathotype 4) of clubroot from Henan in China. After inoculation, 27 very resistant or susceptible individuals were selected to construct bulks, respectively. Next-generation-sequencing-based Bulk Segregant Analysis Sequencing (BSA-Seq) was used and located resistance QTL on chromosome A03 (3.3–7.5 Mb) and A08 (0.01–6.5 Mb), named Bcr1 and Bcr2, respectively. Furthermore, an F3 population including 180 families derived from F2 individuals was phenotyped and used to verify and narrow candidate regions. Ten and seven Kompetitive Allele-Specific PCR (KASP) markers narrowed the target regions to 4.3–4.78 Mb (A03) and 0.02–0.79 Mb (A08), respectively. The phenotypic variation explained (PVE) of the two QTLs were 33.3% and 13.3% respectively. The two candidate regions contained 99 and 109 genes. In the A03 candidate region, there were three candidate R genes, namely Bra006630, Bra006631 and Bra006632. In the A08 candidate region, there were two candidate R genes, namely Bra030815 and Bra030846.

1. Introduction

Clubroot caused by Plasmodiophora brassicae Woronin has become one of most serious diseases of cruciferous crops worldwide [1]. The pathogen causes the formation of galls on the roots of susceptible plants and leads to stunted growth, wilting and premature chlorosis of the aboveground plant organs, leading to yield and quality losses. The life cycle of P. brassicae is thought to be a two-phase process: a primary phase occurring in the root hairs and a secondary phase occurring in the stele and cortex of the hypocotyl and roots [2,3]. In China, clubroot was identified as an important quarantine target in the first National Plant Quarantine Conference in 1953. It is distributed across most regions of the country at present [4]. P. brassicae is known to consist of numerous races. The differential system of Williams [5] is most commonly used to determine the races into 16, such as pathotypes 1 to 16.
BSA or QTL based on next-generation sequencing was widely used in gene mapping. Wen et al. [6] mapped heat-tolerance QTL in the tomato. Zhang et al. [7] found two QTLs in cucumber by using BSA-Seq. In Brassicae, Wang et al. [8] reported the Brassica rapa genome sequence. After that, a number of clubroot resistance genes/loci have been reported on seven chromosomes, A01, A02, A03, A05, A06, A07 and A08. Clubroot resistance (CR) QTL Crr2 resistant to pathotype 2 (Pb2) was located in chromosome A01 [9]. CR QTL CRc resistant to Pb2 was located in A02 [10]; CR QTL Rcr8 resistant to pathotypes 5×was located in A02 [11]. The CR loci found in chromosome A03 were totally located in three regions of the physical map. Region I was 1.9–6.6 Mb, and CR QTL PbBa3.1 resistant to Pb2 was mapped in this region [12]. Region II was 13.5–16.4 Mb, with CR gene CRd resistant to Pb4, CR QTL Crr3 and CRk (QTL) resistant to Pb2 located in this region [10,13,14]. Region III was 23.59–27.23 Mb, with CR gene CRa resistant to Pb2; CR gene CRb resistant to Pb2, Pb3, Pb4 and Pb8; CR gene Rcr4 resistant to Pb2, Pb3, Pb5, Pb6 and Pb8; and Rcr5 resistant to Pb3 located in this region [11,15,16,17]. CR gene CrrA5 was mapped on chromosome A05 [18]. CR QTL Crr4 was mapped on A06 [19]. CR QTL qBrCR38-1 resistant to pathotype7 was mapped on chromosome A07 [20]. The CR loci on chromosome A08 were totally located in two regions of physical map. Region I was 11.3–12.6 Mb; CR QTL CRs resistant to Pb4 [21], CR gene Rcr3 resistant to Pb3 [22], CR gene Rcr9 resistant to Pb5x [11] and Crr1 resistant to Pb2 [23] were mapped in this region. Region II was 20.2–21.7 Mb; CR QTL qBrCR38-2 resistant to Pb7 was located in this region [20]. Among the mapped genes/loci mentioned above, CRa and CRb on A03 and Crr1 on A08 were cloned, and they are all R genes. Makers linked to these genes were designed and used in breeding.
In this study, an F2 population derived from a cross between a resistant turnip and a susceptible Chinese cabbage was used to identify resistance QTL. Next-generation sequencing-based BSA-Seq was used to locate resistance QTL. SNP-index and ∆(SNP-index) graphs were identified base on bioinformatics information of the Brassica rapa genome. Two regions on chromosome A03 and A08 showed significant differences, respectively.

2. Materials and Methods

2.1. Plant Materials and Pathogen Isolates

An F2 population (n = 206) of B. rapa was developed by crossing ‘877’ and ‘255’. The parental genotype ‘877’ is a European fodder turnip (Brassica rapa ssp. Rapifera) inbred line, and its highly resistance to clubroot disease originated from ECD04 (B. rapa rapifera) [24]. The parental genotype ‘255’, which is highly susceptible to clubroot, is a Chinese cabbage inbred line. One hundred and eighty F3 families from F2 individuals were used to confirm candidate areas. P. brassicae field isolates were collected from Henan province (Pbh) in China, and stored at −20 °C until required.

2.2. Inoculation

Seeds of the parents, F1, F2 and F3 were surface-disinfected in 1% sodium hypochlorite for one min, washed with distilled water and germinated in 12 cm–diameter Petri dishes on moistened filter paper for five days at room temperature. Preparation of P. brassicae resting spores was modified from Feng et al. [25]. Briefly, the frozen galls were thawed at room temperature and ground in a blender with distilled water. The resulting homogenates were passed through eight layers of cheesecloth, and the filtrate was centrifuged at 2000× g for five min. The pellet containing the P. brassicae resting spores was suspended in distilled water. The concentration of resting spores was measured with a haemocytometer and adjusted to 1 × 108 resting spores per mL with sterile distilled water.

2.3. Evaluation of Clubroot Resistance

Two parents (30 plants), F1 (30 plants), F2 (206 plants) and F3 (180 families) populations were phenotyped against Pbh. For testing of F2:3 families, the trial was conducted in randomized blocks design with 3 repetitions and 10 plants in each repetition. The seedlings were inoculated with the resting spores by immersing the roots into the inoculum suspension for one minute. The plants were then immediately transplanted into autoclaved potting medium in 6 cm × 6 cm × 6 cm plastic pots, at a density of one seedling per pot. The pots were kept in water-filled trays for 14 d (to ensure sufficient moisture for infection by P. brassicae), after which they were transferred to a bench, where they were watered from above. The plants were evaluated for clubroot disease severity six weeks after inoculation [26]. The roots were rated on a 0–9 scale (0 = no infection; 9 = heavily infested) (Figure 1) [27]. A disease index (DI) was calculated according to the formula DI = [(0n0 + 1n1 + … + 9n9) × 100]/(9 × NT).

2.4. DNA Sequencing

Genomic DNA was extracted from fresh leaves, using the CTAB (cetyltrimethyl-ammonium-bromide) [28] method. Each one of the twenty-seven very resistant (R)/susceptible (S) individuals was selected to construct R/S bulks, respectively. A total amount of 1.5 μg DNA per sample was used as input material for DNA sample preparations. The DNA sample was fragmented by sonication to a size of 350 bp; then DNA fragments were end-polished, A-tailed and ligated with the full-length adapter for Illumina sequencing with further PCR amplification. At last, PCR products were purified (AMPure XP system), and libraries were analyzed for size distribution by Agilent2100 Bioanalyzer and quantified by using real-time PCR. Parents and bulks genomic DNA were sequenced by Illumina HiSeq4000 platform, and 150 bp paired-end reads were generated with insert size around 350 bp.

2.5. Data Analysis

To make sure that reads were reliable and without artificial bias (low-quality paired reads, which mainly resulted from base-calling duplicates and adapter contamination) in the following analyses, raw data (raw reads) of fast format were firstly processed through a series of quality control (QC) procedures in-house C scripts. BWA (Burrows–Wheeler Aligner) [29] was used to align the clean reads of each sample against the reference genome. Alignment files were converted to BAM files by using SAMtools software [30]. In addition, potential PCR duplications were removed by using SAMtools command “rmdup”. If multiple read pairs have identical external coordinates, only retain the pair with the highest mapping quality. Variants calling was performed for all samples by using the Unified Genotyper function in GATK software. Single-Nucleotide Polymorphisms (SNPs) were used as Variant Filtration parameter in GATK [31] (settings: --filterExpression “QD < 4.0 || FS > 60.0 || MQ < 40.0”, -G_filter “GQ < 20”, --clusterWindowSize 4). Insertion–deletion (InDel) was filtered by using the Variant Filtration parameter (settings: --filter Expression “QD < 4.0 || FS > 200.0 ||Read PosRankSum < −20.0 || Inbreeding Coeff < −0.8”). ANNOVAR [32], an efficient software tool, was used to annotate SNP based on the GFF3 files for the reference genome.

2.6. SNP/InDel Index

The homozygous SNPs/InDels between two parents were extracted from the vcf files for SNP/InDel. The reads depth information for homozygous SNPs/InDels above in the offspring pools was gained to calculate the SNP/InDel index [33]. We used the genotype of one parent as the reference and the statistic reads number for this parent’s genotype or the others in offspring pool. Then we calculated the ratio of the number of different reads in total number, which is the SNP/InDel index of the base sites. We filtered out those points for which the SNP/InDel index in both pools are less than 0.3. Sliding-window methods was used to present the SNP/InDel index of whole genome. The average of all SNP/InDel index in each window was as the SNP/InDel index for this window. Usually, we used a window size of 0.5 Mb and step size of 5 Kb as default settings. The difference of the SNP/InDel index of two pools was calculated as the delta SNP/InDel index.

2.7. Development of KASP Markers and QTL Mapping

To validate the BSA-Seq results, KASP (Kompetitive Allele Specific PCR) markers were designed, using Primer 6.0 software (http://www.premierbiosoft.com/, accessed on 18 October 2020), by the Laboratory of the Government Chemist base on the Brassica rapa genome v1.5 (http://brassicadb.cn/#/, accessed on 23 October 2020). All the primers were synthesized by Sangon Biological and Engineering Co. (Shanghai, China). The genotype consistent with parent ‘877’ is marked as ‘A’, the genotype consistent with parent ‘255’ is marked as ‘B’, the heterozygous genotype is marked as ‘H’ and the missing genotype is marked as ‘-’. Linkage analysis was performed by JoinMap v4.0 [34] to the Kosambi function, and the maximum-likelihood method was used to calculate the genetic distance. Map QTL v4.0 was used to detect the QTL, using the Interval Mapping (IM) and Multiple QTL Mapping (MQM) pattern under a threshold of LOD = 2.0.

3. Results

3.1. Test of Clubroot Resistance

The resistance of parents and F1 were tested against Pbh. The resistant parent ‘877’ was highly resistant (DI = 0) to the isolate, and the susceptible parent ‘255’ was highly susceptible to Pbh (DI > 95); F1 plants showed an intermediate DI value between two parental lines (DI = 38.1). Two hundred and six F2 individuals were tested by Pbh, and 199 individuals were evaluated. In the F2 population, more than half of the individuals were scaled as ‘0’ or ‘9’ grades (70 individuals’ grades were ‘0’, and 56 individuals’ grades were ‘9’), and 73 individuals were scaled as ‘1’ to ‘8’ (Table 1). Thus, it was suggested that the clubroot resistance was controlled by major QTL with complementary effect. The F3 population, including 180 families derived from another F2 population, was inoculated by Pbh. The DI of each F2:3 family was calculated. One hundred and sixty-four families received the DI values (Supplementary Materials Table S1); the resistance of F2 individuals was obtained from their F2:3 family (Figure 2).

3.2. Sequencing Data Analysis

Next-generation-sequencing-based BSA-Seq was used to locate resistance genes. Each of the twenty-seven very resistant (scale = 0)/susceptible (scale = 9) F2 individuals was selected to construct R/S bulks, respectively. Sequencing data were generated with Illumina HiSeq 4000, with an average insert size of around 350 bp. A total of 6,402,752,700, 6,158,942,400, 14,984,101,500 and 15,440,598,600 raw data were obtained from parent ‘877’, parent ‘255’, R bulk and S bulk, respectively. Clean data were obtained after removing adapter-polluted and low-quality reads and unknown bases (N > 5%). Genome coverage ranged around 90%, and average depths were 12.17×, 18.64×, 28.67× and 30.08× for ‘877’, ‘255’, and R bulk and S bulk, respectively (Table 2). The genotype of ‘255’ was used as the reference and to statistic reads number for this parent’s genotype or the others in R/S bulks. After filtered, 979,164 SNP indexes were obtained. The average number of sequence variations on 10 chromosomes was 108,138, with chromosome A09 having the highest and A10 having the lowest number of variations. Chromosome A03 had a high density of variations in a specific region (Figure 3).

3.3. Association Analysis

The sliding-window methods was used to present the SNP index between R bulk ‘877’ and S bulk ‘255’, respectively. The difference of the SNP index of two bulks was calculated as the ΔSNP index (Figure 4). The window size was described above. Two regions on chromosome A03 and A08 showed significant differences, respectively. One region was on chromosome 3, named Bcr1 (Brassica rapa clubroot resistance 1), at 3.3–7.5 Mb, and the other region was on chromosome A08, named Bcr2 (Brassica rapa clubroot resistance 2), at 0.01–6.5 Mb. The absolute values of the SNP-index of Bcr1 and Bcr2 were greater than the threshold and were close to 0.5 at a confidence level of 95%. Observations of SNP haplotypes among the highly resistant plants in the R pool were the same as those in the parent ‘877’, while highly susceptible plants in the S pool contained alleles from the parent ‘255’, thus indicating that there have been major QTLs controlling swollen roots in these regions.

3.4. Fine-Mapping of Two QTL

Based on the whole-genome sequencing data of the parents, SNP sites were selected every 20~200 kb at target regions for primer design. Competitive allele-specific PCR (KASP: Kompetitive Allele Specific PCR) was conducted in parents, and F1 was used to detect the selected SNP markers. Seventy-eight and 39 pairs of KASP makers with better typing effects were selected from candidate regions, respectively (Supplementary Materials Table S2). At the same time, twelve individuals from R bulk and 12 individuals from S bulk were verified with selected KASP markers. Most polymorphic markers showed ‘A’ genotype (‘877’ genotype) and ‘H’ genotype (heterozygous genotype) in the R bulk, and most polymorphic markers showed ‘B’ genotype (‘255’ genotype) and ‘H’ genotype in the S bulk, thus proving that the selected markers have a certain linkage relationship with phenotype; they were used for subsequent test analysis. The Bcr1 and Bcr2 regions were verified and fine-mapped. One hundred and sixty-four individuals from the F2:3 population were genotyped. JoinMap 4.0 (OOIJEN and VAN, 2006) was used for linkage analysis. Seventy-eight and 39 pairs of KASP makers were used for constructing genetic maps on A03 and A08 target regions, respectively. Interval Mapping (IM) combined with Multiple QTL Mapping (MQM) method of Map QTL (OOIJEN et al., 2009) software was used for detecting QTLs related to disease-resistance traits. Among the mapping markers, ten and seven KASP markers were used for mapping.
Bcr1 was narrowed to 3.3–7.5 Mb and 4.3–4.78 Mb in the A03 chromosome between markers A03-1-192 and A03-1-024; the likelihood of odd (LOD) value of A03-1-115 was the highest, at 14.4. Bcr1 explained 33.3% of the phenotypic variation of resistant to clubroot (Figure 5). There were 99 genes in the B. rapa genome (http://brassicadb.cn/#/, accessed on 23 October 2020), covering 480 kb on chromosome A03, which is homologous to chromosome 5 in Arabidopsis. Three genes (Bra006630, Bra006631 and Bra006632) were identified in tandem array, which encodes TIR–NBS–LRR protein in the candidate region. (Table 3).
Bcr2 was narrowed from the range of 0.01–6.5 Mb to the range of 0.02–0.79 Mb in A08 chromosome between markers A08-1-06 and A08-1-705; the likelihood of odd (LOD) value of A08-1-348 was the highest, at 4.92. Bcr2 explained 13.3% of the phenotypic variation of resistant to clubroot (Figure 6). There were 109 genes in the B. rapa genome (http://brassicadb.cn/#/, accessed on 23 October 2020), covering 770 kb on chromosome A08, which is homologous to chromosome 1 in Arabidopsis. Two genes (Bra030815 and Bra030846) were identified which encode TIR–NBS–LRR protein the in candidate region (Table 3).

4. Discussion

The European fodder turnip was thought to carry broad-spectrum resistance [35,36]. In this study, the European fodder turnip ‘877’ originating from ECD04 was used as the resistant parent. The turnip ‘877’ was resistant to all isolates that were collected from Yunnan (Pb4, pathotypes 4), Henan (Pb4), Beijing (Pb4 and Pb5), Hubei (Pb2 and Pb4) and Sichuan (Pb4) provinces in China and single-spore isolates Pb3, Pb5 and Pb6 in previous studies (test by Williams’s differential set) [5], which indicated that ‘877’ had resistant genes for different pathotypes and isolates. The isolate from Henan (Pbh) used in this study had the highest virulence in all P4 isolates. F2 and F2:3 families were used for mapping and fine-mapping, and two QTL were obtained. In the F2 mapping population, more than half of the individuals were scaled as ‘0’ or ‘9’, so the resistant loci were also analyzed by using the quality trait method. Individuals graded ‘0’ to ‘3’ (Table 1) were regarded as ‘resistant’, because the galls were small and all on lateral roots. Individuals graded ‘4’ to ‘9’ (Table 1) were regarded as ‘susceptible’, because galls were found on the main root. One hundred ninety-nine individuals, including 109 resistant plants (scale 0–3) and 90 susceptible plants (scale 4–9), were consistent with the ratio of 9:7 segregation (χ2 = 0.12 < χ20.05 = 3.84), thus indicating that resistance was controlled by two genes. In the F2:3 population, F2 individuals were regarded as ‘resistant’ when their F3 family’s DI < 50, the rest of the F2 individuals were regarded as ‘susceptible’ to Pbh (Figure 2). Eighty-six F2:3 families were resistant to Pbh, and 78 F2:3 families were susceptible to Pbh. The segregating ratio of resistance and susceptibility was also consistent to 9:7 (χ2 = 0.05 < χ20.05 = 3.84). The segregating ratio of these two populations was 9:7, which indicated that there may be two major genes controlling the resistance. This result was similar with the result in QTL mapping.
In this study, the genomes of ‘877’ and ‘255’ were also re-sequenced, and 979,164 and 102,222 SNPs and InDels with polymorphisms between the parents were obtained. According to the analysis results of QTL-Seq, we developed a large number of SNP markers in the candidate interval to detect the accuracy of Bcr1 and Bcr2 sites and to further fine-map them. Among them, the SNP marker can detect the difference of a single nucleotide, and its distribution on the genome is more extensive; and the SNP marker can be typed by KASP technology, which is one of the SNP typing platforms that has now developed into a global SNP score. This type of benchmark technology has the advantages of high throughput, low cost, flexibility and speed.
According to the BSA-Seq, the resistant QTLs were found in this study on chromosome A03 and A08. There were eleven genes/loci mapped on chromosome A03 and five on A08 [37]. The CR loci in A03 were totally located in three regions. Region I was 1.9–6.6 Mb, Region II was 13.5–16.4 Mb and Region III was 23.59–27.23 Mb. The clubroot resistance (CR) gene CRa resistant to Pb2 originated from the European fodder turnip ECD02 [38]; the CR gene CRb resistant to Pb2, Pb3, Pb4 and Pb8 originated from the European fodder turnip ECD01 [39]; the CR locus CRk resistant to Pb2 from Region II originated from the European fodder turnip Debra; the CR locus Crr3 resistant to Pb2 originated from European fodder turnip Milan White; and CR QTL PbBa3.1 resistant to Pb2 from Region I originated from European fodder turnip ECD04. Bcr1 in this study also originated from ECD04 and is located in Region I, but it is resistant to Pb4, in contrast to PbBa3.1 resistant to Pb2. The CR loci in A08 were totally located in two regions. Region I was 11.3–12.6 Mb, and Region II was 20.2–21.7 Mb. Crr1 resistant to Pb2 from Region I originated from ‘siloga’ [19]; Rcr3 resistant to Pb3 [22] and Rcr9 resistant to Pb5x [11] originated from ‘Waaslander’; qBrCR38-2 resistant to Pb7 [20] and mapped in Region II originated from ‘Maikno’ (pakchoi). Bcr2 in this study was mapped on 0.02–0.79 Mb in chromosome A08, which is a new locus in A08.
According to the results of fine-mapping, there were three and two R genes (encoding Nucleotide-Binding domain and Leucine-Rich Repeats, NBS–LRR, proteins) in candidate regions. The previously cloned resistant genes CRa, CRb and Crr1 all encode TIR–NBS–LRR protein [17,40]. Bra006630, Bra006631 and Bra006632 in A03 were arranged in a tandem array. These five R gene in two regions will be the prior target for the next study for confirming candidate genes.

5. Conclusions

In this study, an F2 population derived from a cross between a resistant turnip and a susceptible Chinese cabbage was used to determine the inheritance and location of the resistance QTL. The parents were determined to be very resistant/susceptible to the field isolates (pathotype 4) of clubroot from Henan in China. BSA-Seq was used and located resistance QTLs on chromosome A03 (3.3 Mb–7.5 Mb) and A08 (0.01 Mb–6.5 Mb), named Bcr1 and Bcr2, respectively. Furthermore, an F3 population derived from F2 individuals was phenotyped and used to verify and narrow candidate regions. Ten and seven KASP markers narrowed the target regions to 4.3–4.78 Mb (A03) and 0.02–0.79 Mb (A08), respectively. The phenotypic variation explained (PVE) of the two QTLs were 33.3% and 13.3%, respectively. The two QTLs contained 99 and 109 genes, covering 480 kb on chromosome A03 and 770 kb on A08. Based on the genes annotation, there were three and two candidate R genes in the candidate regions. These R genes were not reported to be associated with clubroot resistance.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/horticulturae8010066/s1. Table S1: The results of clubroot resistance identification of 164 F2:3 families. Table S2: The information of KASP primer sequences in candidate regions.

Author Contributions

Conceptualization, H.Z.; data curation, X.M.; formal analysis, H.Z. and X.M.; funding acquisition, S.Z. (Shujiang Zhang); investigation, X.L.; methodology, S.Z. (Shifan Zhang); project administration, R.S. and S.Z. (Shujiang Zhang); resources, H.Z.; software, G.L.; supervision, R.S.; validation, F.L.; visualization, X.M.; writing—original draft, H.Z.; writing—review and editing, R.S. and S.Z. (Shujiang Zhang). All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by China Agricultural Research System (CARS-23-A-14) and the Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences (CAAS-ASTIP-IVFCAAS). This study was carried out at the Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture, Beijing, China.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Sequence data can be found in the NCBI databases under the following accession numbers: PR1: SRR16016164, PR1-mix: SRR16016163, PS1: SRR16016162 and PS1-mix: SRR16016161.

Acknowledgments

The authors are thankful to Feng Cheng, Xiaowu Wang and Jian Wu (Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences) for data analysis, laboratory assistance and helpful comments about the study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Dixon, G.R. The occurrence and economic impact of Plasmodiophora brassicae and clubroot disease. J. Plant Growth Regul. 2009, 28, 194–202. [Google Scholar] [CrossRef]
  2. Malinowski, R.; Smith, J.A.; Fleming, A.J.; Scholes, J.D.; Rolfe, S.A. Gall formation in clubroot-infected Arabidopsis results from an increase in existing meristematic activities of the host but is not essential for the completion of the pathogen life cycle. Plant J. 2012, 71, 226–238. [Google Scholar] [CrossRef]
  3. McDonald, M.R.; Sharma, K.; Gossen, B.D.; Deora, A.; Feng, J.; Hwang, S.F. The Role of Primary and Secondary Infection in Host Response to Plasmodiophora brassicae. Phytopathology 2014, 104, 1078–1087. [Google Scholar] [CrossRef] [Green Version]
  4. Chai, A.; Xie, X.; Shi, Y.; Li, B. Research Status of Clubroot (Plasmodiophora Brassicae) on Cruciferous Crops in China. Can. J. Plant Sci. 2014, 36, 142–153. [Google Scholar] [CrossRef]
  5. Williams, P. A system for the determination of races of Plasmodiophora brassicae that infect cabbage and rutabaga. Phytopathology 1966, 6, 624–626. [Google Scholar]
  6. Wen, J.; Jiang, F.; Weng, Y.; Sun, M.; Shi, X.; Zhou, Y.; Yu, L.; Wu, Z. Identification of heat-tolerance QTLs and high-temperature stress-responsive genes through conventional QTL mapping, QTL-seq and RNA-seq in tomato. BMC Plant Biol. 2019, 19, 17. [Google Scholar] [CrossRef]
  7. Zhang, C.; Anarjan, M.B.; Win, K.T.; Begum, S.; Lee, S. QTL-seq analysis of powdery mildew resistance in a Korean cucumber inbred line. Theor. Appl. Genet. 2021, 134, 435–451. [Google Scholar] [CrossRef]
  8. Wang, X.; Wang, H.; Wang, J.; Sun, R.; Wu, J.; Liu, S.; Bai, Y.; Mun, J.-H.; Bancroft, I.; Cheng, F.; et al. The genome of the mesopolyploid crop species Brassica rapa. Nat. Genet. 2011, 43, 1035–1039. [Google Scholar] [CrossRef] [Green Version]
  9. Suwabe, K.; Tsukazaki, H.; Iketani, H.; Hatakeyama, K.; Fujimura, M.; Nunome, T.; Fukuoka, H.; Matsumoto, S.; Hirai, M. Identification of two loci for resistance to clubroot (Plasmodiophora brassicae Woronin) in Brassica rapa L. Theor. Appl. Genet. 2003, 107, 997–1002. [Google Scholar] [CrossRef]
  10. Sakamoto, K.; Saito, A.; Hayashida, N.; Taguchi, G.; Matsumoto, E. Mapping of isolate-specific QTLs for clubroot resistance in Chinese cabbage (Brassica rapa L. ssp. pekinensis). Theor. Appl. Genet. 2008, 117, 759–767. [Google Scholar] [CrossRef]
  11. Yu, F.; Zhang, X.; Peng, G.; Falk, K.C.; Strelkov, S.E.; Gossen, B.D. Genotyping-by-sequencing reveals three QTL for clubroot resistance to six pathotypes of Plasmodiophora brassicae in Brassica rapa. Sci. Rep. 2017, 7, 4516. [Google Scholar] [CrossRef]
  12. Chen, J.; Jing, J.; Zhan, Z.; Zhang, T.; Zhang, C.; Piao, Z. Identification of novel QTLs for isolate-specific partial resistance to Plasmodiophora brassicae in Brassica rapa. PLoS ONE 2013, 8, e85307. [Google Scholar] [CrossRef] [Green Version]
  13. Pang, W.; Fu, P.; Li, X.; Zhan, Z.; Yu, S.; Piao, Z. Identification and mapping of the clubroot resistance gene CRd in Chinese cabbage (Brassica rapa ssp. pekinensis). Front. Plant Sci. 2018, 9, 653. [Google Scholar] [CrossRef] [Green Version]
  14. Saito, M.; Kubo, N.; Matsumoto, S.; Suwabe, K.; Tsukada, M.; Hirai, M. Fine mapping of the clubroot resistance gene, Crr3, in Brassica rapa. Theor. Appl. Genet. 2006, 114, 81–91. [Google Scholar] [CrossRef]
  15. Huang, Z.; Peng, G.; Gossen, B.D.; Yu, F. Fine mapping of a clubroot resistance gene from turnip using SNP markers identified from bulked segregant RNA-Seq. Mol. Breed. 2019, 39, 131. [Google Scholar] [CrossRef]
  16. Kato, T.; Hatakeyama, K.; Fukino, N.; Matsumoto, S. Fine mapping of the clubroot resistance gene CRb and development of a useful selectable marker in Brassica rapa. Breed. Sci. 2013, 63, 116–124. [Google Scholar] [CrossRef] [Green Version]
  17. Ueno, H.; Matsumoto, E.; Aruga, D.; Kitagawa, S.; Matsumura, H.; Hayashida, N. Molecular characterization of the CRa gene conferring clubroot resistance in Brassica rapa. Plant Mol. Biol. 2012, 80, 621–629. [Google Scholar] [CrossRef] [Green Version]
  18. Nguyen, M.L.; Monakhos, G.F.; Komakhin, R.A.; Monakhos, S.G. The New Clubroot resistance locus is located on chromosome A05 in Chinese cabbage (Brassica rapa L.). Russ. J. Genet. 2018, 54, 296–304. [Google Scholar] [CrossRef]
  19. Suwabe, K.; Tsukazaki, H.; Iketani, H.; Hatakeyama, K.; Kondo, M.; Fujimura, M.; Nunome, T.; Fukuoka, H.; Hirai, M.; Matsumoto, S. Simple sequence repeat-based comparative genomics between Brassica rapa and Arabidopsis thaliana: The genetic origin of clubroot resistance. Genetics 2006, 173, 309–319. [Google Scholar] [CrossRef] [Green Version]
  20. Zhu, H.; Zhai, W.; Li, X.; Zhu, Y. Two QTLs controlling Clubroot resistance identified from bulked segregant sequencing in Pakchoi (Brassica campestris ssp. chinensis Makino). Sci. Rep. 2019, 9, 9228. [Google Scholar] [CrossRef] [Green Version]
  21. Laila, R.; Park, J.I.; Robin, A.H.K.; Natarajan, S.; Vijayakumar, H.; Shirasawa, K.; Isobe, S.; Kim, H.-T.; Nou, I.-S. Mapping of a novel clubroot resistance QTL using ddRAD-seq in Chinese cabbage (Brassica rapa L.). BMC Plant Biol. 2019, 19, 13. [Google Scholar] [CrossRef]
  22. Karim, M.M.; Dakouri, A.; Zhang, Y.; Chen, Q.; Peng, G.; Strelkov, S.E.; Gossen, B.D.; Yu, F. Two clubroot-resistance genes, Rcr3 and Rcr9wa, mapped in Brassica rapa using bulk segregant RNA sequencing. Int. J. Mol. Sci. 2020, 21, 5033. [Google Scholar] [CrossRef]
  23. Hatakeyama, K.; Suwabe, K.; Tomita, R.N.; Kato, T.; Nunome, T.; Fukuoka, H.; Matsumoto, S. Identification and characterization of Crr1a, a gene for resistance to clubroot disease (Plasmodiophora brassicae Woronin) in Brassica rapa L. PLoS ONE 2013, 8, e54745. [Google Scholar] [CrossRef]
  24. Diederichsen, E.; Sacristan, M.D. Disease response of resynthesized Brassica napus L. lines carrying different combinations of resistance to Plasmodiophora brassicae. World. Plant Breed. 1996, 115, 5–10. [Google Scholar] [CrossRef]
  25. Feng, J.; Hwang, S.F.; Strelkov, S.E. Assessment of gene expression profiles in primary and secondary zoospores of Plasmodiophora brassicae by dot blot and real-time PCR. Microbiol. Res. 2013, 168, 518–524. [Google Scholar] [CrossRef]
  26. Zhang, H.; Feng, J.; Zhang, S.; Zhang, S.; Li, F.; Strelkov, S.E.; Sun, R.; Hwang, S.-F. Resistance to Plasmodiophora brassicae in Brassica rapa and Brassica juncea genotypes From China. Plant Dis. 2015, 99, 776–779. [Google Scholar] [CrossRef] [Green Version]
  27. Zhang, H.; Feng, J.; Hwang, S.F.; Strelkov, E.S.; Falak, I.; Huang, X.; Sun, R. Mapping of clubroot (Plasmodiophora brassicae) resistance in canola (Brassica napus). Plant Pathol. 2016, 65, 435–440. [Google Scholar] [CrossRef] [Green Version]
  28. Doyle, J. Isolation of plant DNA from fresh tissue. Focus 1990, 12, 13–15. [Google Scholar]
  29. Li, H.; Durbin, R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 2009, 25, 1754–1760. [Google Scholar] [CrossRef] [Green Version]
  30. Li, H.; Handsaker, B.; Wysoker, A.; Fennell, T.; Ruan, J.; Homer, N.; Marth, G.; Abecasis, G.; Durbin, R. The Sequence Alignment/Map format and SAMtools. Bioinformatics 2009, 25, 2078–2079. [Google Scholar] [CrossRef] [Green Version]
  31. McKenna, A.; Hanna, M.; Banks, E.; Sivachenko, A.; Cibulskis, K.; Kernytsky, A.; Garimella, K.; Altshuler, D.; Gabriel, S.; Daly, M.; et al. The Genome Analysis Toolkit: A Map Reduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010, 20, 1297–1303. [Google Scholar] [CrossRef] [Green Version]
  32. Wang, K.; Li, M.; Hakonarson, H. ANNOVAR: Functional annotation of genetic variants from high-throughput sequencing data. Nucleic. Acids. Res. 2010, 38, e164. [Google Scholar] [CrossRef]
  33. Takagi, H.; Abe, A.; Yoshida, K.; Kosugi, S.; Natsume, S.; Mitsuoka, C.; Uemura, A.; Utsushi, H.; Tamiru, M.; Takuno, S.; et al. QTL-seq: Rapid mapping of quantitative trait loci in rice by whole genome resequencing of DNA from two bulked populations. Plant J. 2013, 74, 174–183. [Google Scholar] [CrossRef]
  34. Van Ooijen, J.W.; van’t Verlaat, J.W.; van Tol, J.; Dalen, J.; Buren, J.; van der Meer, J. JoinMap 4.0; Software for the Calculation of Genetic Linkage Maps in Experimental Population; Kyazma BV: Wageningen, The Netherlands, 2006. [Google Scholar]
  35. Buczacki, S.; Toxopeus, H.; Mattusch, P.; Johnston, T.; Dixon, G.; Hobolth, L. Study of physiologic specialization in Plasmodiophora brassicae: Proposals for attempted rationalization through an international approach. Trans. Br. Mycol. Soc. 1975, 65, 295–303. [Google Scholar] [CrossRef]
  36. Peng, G.; Falk, K.C.; Gugel, R.K.; Franke, C.; Yu, F.; James, B.; Strelkov, S.E.; Hwang, S.-F.; McGregor, L. Sources of resistance to Plasmodiophora brassicae (clubroot) pathotypes virulent on canola. Can. J. Plant Pathol. 2014, 36, 89–99. [Google Scholar] [CrossRef]
  37. Hasan, J.; Megha, S.; Rahman, H. Clubroot in Brassica: Recent advances in genomics, breeding, and disease management. Genome 2021, 64, 735–760. [Google Scholar] [CrossRef]
  38. Matsumoto, E.; Ueno, H.; Aruga, D.; Sakamoto, K.; Hayashida, N. Accumulation of three clubroot resistance genes through marker-assisted selection in Chinese cabbage (Brassica rapa ssp. pekinensis). J. Jpn. Soc. Hortic. Sci. 2012, 81, 184–190. [Google Scholar] [CrossRef] [Green Version]
  39. Piao, Z.; Deng, Y.; Choi, S.; Park, Y.; Lim, Y. SCAR and CAPS mapping of CRb, a gene conferring resistance to Plasmodiophora brassicae in Chinese cabbage (Brassica rapa ssp. pekinensis). Theor. Appl. Genet. 2004, 108, 1458–1465. [Google Scholar] [CrossRef]
  40. Hatakeyama, K.; Niwa, T.; Kato, T.; Ohara, T.; Kakizaki, T.; Matsumoto, S. The tandem repeated organization of NB-LRR genes in the clubroot-resistant CRb locus in Brassica rapa L. Mol. Genet. Genom. 2017, 292, 397–405. [Google Scholar] [CrossRef]
Figure 1. Disease rating scale ranges of clubroot symptoms on plant roots in F2 population. Scale is from 0 to 9, where 0 = no infection (no symptoms) and 9 = heavily infected (severe galling).
Figure 1. Disease rating scale ranges of clubroot symptoms on plant roots in F2 population. Scale is from 0 to 9, where 0 = no infection (no symptoms) and 9 = heavily infected (severe galling).
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Figure 2. Distribution of F2:3 families’ disease levels (disease index) after testing with Pbh of P. brassicae.
Figure 2. Distribution of F2:3 families’ disease levels (disease index) after testing with Pbh of P. brassicae.
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Figure 3. Distribution density map of SNPs on each chromosome within a sliding window of 100 kb. Note: Ordinates represent chromosomes 1 to 10, the abscissa represents the physical location of the chromosome and different colors show the density of SNPs within a sliding window of 100 kb.
Figure 3. Distribution density map of SNPs on each chromosome within a sliding window of 100 kb. Note: Ordinates represent chromosomes 1 to 10, the abscissa represents the physical location of the chromosome and different colors show the density of SNPs within a sliding window of 100 kb.
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Figure 4. Genome−wide ΔSNP index Manhattan plots graph of two extreme pools. Two regions on chromosome A03 and A08 (black box) were identified.
Figure 4. Genome−wide ΔSNP index Manhattan plots graph of two extreme pools. Two regions on chromosome A03 and A08 (black box) were identified.
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Figure 5. Identification and validation of CR QTL Bcr1 on chromosome A03.
Figure 5. Identification and validation of CR QTL Bcr1 on chromosome A03.
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Figure 6. Identification and validation of CR QTL Bcr2 on chromosome A08.
Figure 6. Identification and validation of CR QTL Bcr2 on chromosome A08.
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Table 1. Distribution of F2 disease levels (disease index) after testing with Pbh of P. brassicae.
Table 1. Distribution of F2 disease levels (disease index) after testing with Pbh of P. brassicae.
Scale for Rating Clubroot Symptoms
0123456789
Numbers of F2 Individuals702271055712556
Table 2. Depth and coverage of re-sequencing data.
Table 2. Depth and coverage of re-sequencing data.
SampleMapped ReadsTotal ReadsMapping Rate (%)Average Depth(×)Coverage at Least 1× (%)Coverage at Least 4× (%)
PS32,638,84340,655,48480.2812.1791.8375.90
PR38,402,70442,580,73890.1918.6488.6683.76
S-bulk71,462,576102,510,53469.7128.6795.5092.63
R-bulk82,274,31699,471,59482.7130.0894.8988.61
Table 3. Candidate R genes in candidate regions.
Table 3. Candidate R genes in candidate regions.
Gene IDChromosome PositionStart Position of the GeneEnd Position of the GeneOrthologous GenesGene Annotations
Bra006630A034,355,6754,357,301AT5G22670FBD; leucine-rich repeat 2; FBD-like; cyclin-like F-box; phosphoglycerate/bisphosphoglycerate mutase, active site
Bra006631A034,365,9254,367,585AT5G22670FBD; leucine-rich repeat 2; FBD-like; cyclin-like F-box
Bra006632A034,370,7284,372,332AT5G22730FBD; leucine-rich repeat 2; cyclin-like F-box
Bra030815A0857,17062,428AT1G56130Serine-threonine/tyrosine-protein kinase, catalytic domain; leucine-rich repeat; malectin domain
Bra030846A08219,222222,719AT1G55610Protein kinase domain; leucine-rich repeat; leucine-rich repeat-containing N-terminal, plant-type
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Zhang, H.; Ma, X.; Liu, X.; Zhang, S.; Li, F.; Li, G.; Sun, R.; Zhang, S. Identification and Fine-Mapping of Clubroot (Plasmodiophora brassicae) Resistant QTL in Brassica rapa. Horticulturae 2022, 8, 66. https://doi.org/10.3390/horticulturae8010066

AMA Style

Zhang H, Ma X, Liu X, Zhang S, Li F, Li G, Sun R, Zhang S. Identification and Fine-Mapping of Clubroot (Plasmodiophora brassicae) Resistant QTL in Brassica rapa. Horticulturae. 2022; 8(1):66. https://doi.org/10.3390/horticulturae8010066

Chicago/Turabian Style

Zhang, Hui, Xiaochao Ma, Xitong Liu, Shifan Zhang, Fei Li, Guoliang Li, Rifei Sun, and Shujiang Zhang. 2022. "Identification and Fine-Mapping of Clubroot (Plasmodiophora brassicae) Resistant QTL in Brassica rapa" Horticulturae 8, no. 1: 66. https://doi.org/10.3390/horticulturae8010066

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