Identification of genomic regions involved in resistance against Sclerotinia sclerotiorum from wild Brassica oleracea

2012 ◽  
Vol 126 (2) ◽  
pp. 549-556 ◽  
Author(s):  
Jiaqin Mei ◽  
Yijuan Ding ◽  
Kun Lu ◽  
Dayong Wei ◽  
Yao Liu ◽  
...  
Keyword(s):  
Brassica Oleracea ◽  
Sclerotinia Sclerotiorum ◽  
Genomic Regions

Evaluation of Brassica oleracea accessions for resistance to Plasmodiophora brassicae and identification of genomic regions associated with resistance

Genome ◽  
2020 ◽  
Vol 63 (2) ◽  
pp. 91-101 ◽  
Author(s):  
Mehdi Farid ◽  
Rong-Cai Yang ◽  
Berisso Kebede ◽  
Habibur Rahman
Keyword(s):  
Brassica Oleracea ◽  
Crop Production ◽  
Plasmodiophora Brassicae ◽  
Snp Markers ◽  
Phenotypic Variance ◽  
Clubroot Disease ◽  
Brassica Crop ◽  
A Genome ◽  
C Genome ◽  
Genomic Regions

Clubroot disease caused by Plasmodiophora brassicae is a challenge to Brassica crop production. Breakdown of resistance controlled by major genes of the Brassica A genome has been reported. Therefore, identification of resistance in the Brassica C genome is needed to broaden the genetic base of resistance in Brassica napus canola. In this study, we evaluated 135 Brassica oleracea accessions, belonging to eight variants of this species to identify resistant accessions as well as to identify the genomic regions associated with resistance to two recently evolved P. brassicae pathotypes, F3-14 (3A) and F-359-13 (5X L-G2). Resistance to these pathotypes was observed more frequently in var. acephala (kale) followed by var. capitata (cabbage); few accessions also carried resistance to both pathotypes. Association mapping using single nucleotide polymorphism (SNP) markers developed through genotyping by sequencing technique identified 10 quantitative trait loci (QTL) from six C-genome chromosomes to be associated with resistance to these pathotypes; among these, two QTL associated with resistance to 3A and one QTL associated with resistance to 5X L-G2 carried ≥3 SNP markers. The 10 QTL identified in this study individually accounted for 8%–18% of the total phenotypic variance. Thus, the results from this study can be used in molecular breeding of Brassica crops for resistance to this disease.

scholarly journals Detection of candidate gene networks involved in resistance to Sclerotinia sclerotiorum in soybean

2021 ◽  
Author(s):  
Yu Zhang ◽  
Yuexing Wang ◽  
Wanying Zhou ◽  
Shimao Zheng ◽  
Runzhou Ye
Keyword(s):  
Candidate Genes ◽  
Sclerotinia Sclerotiorum ◽  
Mapk Signaling ◽  
Chromosome 17 ◽  
Potential Candidate ◽  
Nucleotide Polymorphism ◽  
Data Set ◽  
Trait Association ◽  
Trait Analysis ◽  
Genomic Regions

AbstractQuantitative trait locus (QTL) mapping often yields associations with dissimilar loci/genes as a consequence of diverse factors. One trait for which very limited agreement between mapping studies has been observed is resistance to white mold in soybean. To explore whether different approaches applied to a single data set could lead to more consistent results, haplotype-trait association and epistasis interaction effects were explored as a complement to a more conventional marker-trait analysis. At least 10 genomic regions were significantly associated with Sclerotinia sclerotiorum resistance in soybean, which have not been previously reported. At a significance level of α = 0.05, haplotype-trait association showed that the most prominent signal originated from a haplotype with 4-SNP (single nucleotide polymorphism) on chromosome 17, and single SNP-trait analysis located a nucleotide polymorphism at position rs34387780 on chromosome 3. All of the peak-SNPs (p-value < 0.05) of each chromosome also appeared in their respective haplotypes. Samples with extreme phenotypes were singled-out for association studies, 25–30% from each end of the phenotypic spectrum appeared in the present investigation to be the most appropriate sample size. Some key genes were identified by epistasis interaction analysis. By combining information on the nearest positional genes indicated that most loci have not been previously reported. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses suggest potential candidate genes underlying callose deposition in the cell wall and mitogen-activated protein kinase (MAPK) signaling pathway-plant, as well as plant-pathogen interaction pathway, were activated. Integration of multi-method genome-wide association study (GWAS) revealed novel genomic regions and promising candidate genes in novel regions, which include Glyma.01g048500, Glyma.03g129100, Glyma.17g072200, and the Dishevelled (Dvl) family of proteins on chromosomes 1, 3, 17, and 20, respectively.

Construction of a Linkage Map and QTL analysis for Black Rot Resistance in Brassica oleracea L.

1970 ◽  
Vol 1 (1) ◽  
pp. 1-6 ◽  
Author(s):  
MAU Doullah ◽  
GM Mohsin ◽  
K Ishikawa ◽  
H Hori ◽  
K Okazaki
Keyword(s):  
Linkage Map ◽  
Brassica Oleracea ◽  
Phenotypic Variation ◽  
Xanthomonas Campestris ◽  
Resistance Breeding ◽  
Black Rot ◽  
Significant Qtls ◽  
Disease Rating ◽  
Genomic Regions ◽  
Xanthomonas Campestris Pv Campestris

For quantitative trait loci (QTL) controlling resistance to Xanthomonas campestris pv. Campestris, we constructed linkage map using cleaved amplified plymorphic sequences (CAPS) and sequence-related amplified polymorphism (SRAP) analysis with disease rating of F3 families obtained from a susceptible broccoli and resistant cabbage [Green commet P09 × Reiho P01]. We established inoculation technique. In this technique, leaves from approximately 50-day old F3 plants were inoculated by cutting 1.0 cm at mid vain near the margins. A total of 38 CAPS and 60 SRAP primer pairs were screened to assess parental polymorphism against black rot resistance. Ninety two markers were distributed in 10 linkage groups (LGs) covering 320.5 cM (centimorgan), with average 3.56 cM interval between markers. Two genomic regions on LG 2 and LG 9 were significantly associated with resistance to the disease. The analysis revealed QTLs in the map interval between CAM1 – GSA1 on LG 2 accounting for up to 10% of the phenotypic variation and one QTL in the map interval between F12-R12e – BORED on LG 9 explaining 16% phenotypic variation with LOD score of 3.09. Two additional non-significant QTLs on LG 3 in the interval between CHI – ASB1 (LOD = 2.04) and on LG 7 in the interval between IPI – FLC3 (LOD = 2.25) were also detected for resistance to the disease. The QTLs, which were mapped to LG 2 and LG 9 for the disease, could be useful for marker-assisted selection in resistance breeding. Key words: Linkage map; QTL; Black rot; Resistance; Brassica oleracea  DOI: http://dx.doi.org/10.3329/ijns.v1i1.8591 International Journal of Natural Sciences (2011), 1(1):1-6

scholarly journals Transcriptomic comparison between Brassica oleracea and rice (Oryza sativa) reveals diverse modulations on cell death in response to Sclerotinia sclerotiorum

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Jiaqin Mei ◽  
Yijuan Ding ◽  
Yuehua Li ◽  
Chaobo Tong ◽  
Hai Du ◽  
...  
Keyword(s):  
Cell Death ◽  
Brassica Oleracea ◽  
Sclerotinia Sclerotiorum ◽  
Transcriptome Sequencing ◽  
Histochemical Staining ◽  
Oxygen Species ◽  
Wrky Transcription Factors ◽  
Ros Accumulation ◽  
Before And After ◽  
Insight Into

Abstract Sclerotinia stem rot caused by Sclerotinia sclerotiorum is a devastating disease of Brassica crops, but not in rice. The leaves of a rice line, a partial resistant (R) and a susceptible (S) Brassica oleracea pool that bulked from a resistance-segregating F2 population were employed for transcriptome sequencing before and after inoculation by S. sclerotiorum for 6 and 12 h. Distinct transcriptome profiles were revealed between B. oleracea and rice in response to S. sclerotiorum. Enrichment analyses of GO and KEGG indicated an enhancement of antioxidant activity in the R B. oleracea and rice, and histochemical staining exhibited obvious lighter reactive oxygen species (ROS) accumulation and cell death in rice and the R B. oleracea as compared to that in the S B. oleracea. Significant enhancement of Ca2+ signalling, a positive regulator of ROS and cell death, were detected in S B. oleracea after inoculation, while it was significantly repressed in the R B. oleracea group. Obvious difference was detected between two B. oleracea groups for WRKY transcription factors, particularly for those regulating cell death. These findings suggest diverse modulations on cell death in host in response to S. sclerotiorum. Our study provides useful insight into the resistant mechanism to S. sclerotiorum.

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