Literature DB >> 26563848

Genome-wide association analysis and differential expression analysis of resistance to Sclerotinia stem rot in Brassica napus.

Lijuan Wei1, Hongju Jian1, Kun Lu1, Fiona Filardo2, Nengwen Yin1, Liezhao Liu1, Cunmin Qu1, Wei Li1, Hai Du1, Jiana Li1.   

Abstract

Brassica napus is one of the most important oil crops in the world, and stem rot caused by the fungus Sclerotinia sclerotiorum results in major losses in yield and quality. To elucidate resistance genes and pathogenesis-related genes, genome-wide association analysis of 347 accessions was performed using the Illumina 60K Brassica SNP (single nucleotide polymorphism) array. In addition, the detached stem inoculation assay was used to select five highly resistant (R) and susceptible (S) B. napus lines, 48 h postinoculation with S. sclerotiorum for transcriptome sequencing. We identified 17 significant associations for stem resistance on chromosomes A8 and C6, five of which were on A8 and 12 on C6. The SNPs identified on A8 were located in a 409-kb haplotype block, and those on C6 were consistent with previous QTL mapping efforts. Transcriptome analysis suggested that S. sclerotiorum infection activates the immune system, sulphur metabolism, especially glutathione (GSH) and glucosinolates in both R and S genotypes. Genes found to be specific to the R genotype related to the jasmonic acid pathway, lignin biosynthesis, defence response, signal transduction and encoding transcription factors. Twenty-four genes were identified in both the SNP-trait association and transcriptome sequencing analyses, including a tau class glutathione S-transferase (GSTU) gene cluster. This study provides useful insight into the molecular mechanisms underlying the plant's response to S. sclerotiorum.
© 2015 Society for Experimental Biology, Association of Applied Biologists and John Wiley & Sons Ltd.

Entities:  

Keywords:  Brassica napus; Sclerotinia sclerotiorum; association mapping; differential expression

Mesh:

Year:  2015        PMID: 26563848     DOI: 10.1111/pbi.12501

Source DB:  PubMed          Journal:  Plant Biotechnol J        ISSN: 1467-7644            Impact factor:   9.803


  64 in total

Review 1.  An update on the arsenal: mining resistance genes for disease management of Brassica crops in the genomic era.

Authors:  Honghao Lv; Zhiyuan Fang; Limei Yang; Yangyong Zhang; Yong Wang
Journal:  Hortic Res       Date:  2020-03-15       Impact factor: 6.793

Review 2.  A user guide to the Brassica 60K Illumina Infinium™ SNP genotyping array.

Authors:  Annaliese S Mason; Erin E Higgins; Rod J Snowdon; Jacqueline Batley; Anna Stein; Christian Werner; Isobel A P Parkin
Journal:  Theor Appl Genet       Date:  2017-02-20       Impact factor: 5.699

3.  Genetic mapping and genomic prediction of sclerotinia stem rot resistance to rapeseed/canola (Brassica napus L.) at seedling stage.

Authors:  Jayanta Roy; Luis E Del Río Mendoza; Nonoy Bandillo; Phillip E McClean; Mukhlesur Rahman
Journal:  Theor Appl Genet       Date:  2022-05-06       Impact factor: 5.699

Review 4.  Biologia Futura: progress and future perspectives of long non-coding RNAs in forest trees.

Authors:  Maheswari Patturaj; Aiswarya Munusamy; Nithishkumar Kannan; Yasodha Ramasamy
Journal:  Biol Futur       Date:  2021-11-29

5.  Further insight into decreases in seed glucosinolate content based on QTL mapping and RNA-seq in Brassica napus L.

Authors:  Hongbo Chao; Huaixin Li; Shuxiang Yan; Weiguo Zhao; Kang Chen; Hao Wang; Nadia Raboanatahiry; Jinyong Huang; Maoteng Li
Journal:  Theor Appl Genet       Date:  2022-07-16       Impact factor: 5.574

6.  Complete resistance to powdery mildew and partial resistance to downy mildew in a Cucumis hystrix introgression line of cucumber were controlled by a co-localized locus.

Authors:  Kaijing Zhang; Xing Wang; Wenwei Zhu; Xiaodong Qin; Jian Xu; Chunyan Cheng; Qunfeng Lou; Ji Li; Jinfeng Chen
Journal:  Theor Appl Genet       Date:  2018-08-04       Impact factor: 5.699

7.  Pyramiding of nine transgenes in maize generates high-level resistance against necrotrophic maize pathogens.

Authors:  Xiang Zhu; Jinfeng Zhao; Hafiz Muhammad Khalid Abbas; Yunjun Liu; Menglan Cheng; Jue Huang; Wenjuan Cheng; Beibei Wang; Cuiying Bai; Guoying Wang; Wubei Dong
Journal:  Theor Appl Genet       Date:  2018-07-13       Impact factor: 5.699

8.  Dissection of the genetic variation and candidate genes of lint percentage by a genome-wide association study in upland cotton.

Authors:  Chengxiang Song; Wei Li; Xiaoyu Pei; Yangai Liu; Zhongying Ren; Kunlun He; Fei Zhang; Kuan Sun; Xiaojian Zhou; Xiongfeng Ma; Daigang Yang
Journal:  Theor Appl Genet       Date:  2019-04-13       Impact factor: 5.699

9.  Introgression and pyramiding of genetic loci from wild Brassica oleracea into B. napus for improving Sclerotinia resistance of rapeseed.

Authors:  Jiaqin Mei; Chaoguo Shao; Ruhan Yang; Yuxia Feng; Yang Gao; Yijuan Ding; Jiana Li; Wei Qian
Journal:  Theor Appl Genet       Date:  2020-02-01       Impact factor: 5.699

10.  Genetic and transcriptomic analyses of lignin- and lodging-related traits in Brassica napus.

Authors:  Lijuan Wei; Hongju Jian; Kun Lu; Nengwen Yin; Jia Wang; Xiujian Duan; Wei Li; Liezhao Liu; Xinfu Xu; Rui Wang; Andrew H Paterson; Jiana Li
Journal:  Theor Appl Genet       Date:  2017-06-20       Impact factor: 5.699

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