Literature DB >> 23096003

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

Jiaqin Mei1, Yijuan Ding, Kun Lu, Dayong Wei, Yao Liu, Joseph Onwusemu Disi, Jiana Li, Liezhao Liu, Shengyi Liu, John McKay, Wei Qian.   

Abstract

The lack of resistant source has greatly restrained resistance breeding of rapeseed (Brassica napus, AACC) against Sclerotinia sclerotiorum which causes severe yield losses in rapeseed production all over the world. Recently, several wild Brassica oleracea accessions (CC) with high level of resistance have been identified (Mei et al. in Euphytica 177:393-400, 2011), bringing a new hope to improve Sclerotinia resistance of rapeseed. To map quantitative trait loci (QTL) for Sclerotinia resistance from wild B. oleracea, an F2 population consisting of 149 genotypes, with several clones of each genotypes, was developed from one F1 individual derived from the cross between a resistant accession of wild B. oleracea (B. incana) and a susceptible accession of cultivated B. oleracea var. alboglabra. The F2 population was evaluated for Sclerotinia reaction in 2009 and 2010 under controlled condition. Significant differences among genotypes and high heritability for leaf and stem reaction indicated that genetic components accounted for a large portion of the phenotypic variance. A total of 12 QTL for leaf resistance and six QTL for stem resistance were identified in 2 years, each explaining 2.2-28.4 % of the phenotypic variation. The combined effect of alleles from wild B. oleracea reduced the relative susceptibility by 22.5 % in leaves and 15 % in stems on average over 2 years. A 12.8-cM genetic region on chromosome C09 of B. oleracea consisting of two major QTL intervals for both leaf and stem resistance was assigned into a 2.7-Mb genomic region on chromosome A09 of B. rapa, harboring about 30 putative resistance-related genes. Significant negative corrections were found between flowering time and relative susceptibility of leaf and stem. The association of flowering time with Sclerotinia resistance is discussed.

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Year:  2012        PMID: 23096003     DOI: 10.1007/s00122-012-2000-x

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  14 in total

1.  Genetic analysis of loci associated with partial resistance to Sclerotinia sclerotiorum in rapeseed (Brassica napus L.).

Authors:  Jianwei Zhao; Jinling Meng
Journal:  Theor Appl Genet       Date:  2002-12-12       Impact factor: 5.699

2.  QTLNetwork: mapping and visualizing genetic architecture of complex traits in experimental populations.

Authors:  Jian Yang; Chengcheng Hu; Han Hu; Rongdong Yu; Zhen Xia; Xiuzi Ye; Jun Zhu
Journal:  Bioinformatics       Date:  2008-01-17       Impact factor: 6.937

3.  Mapping resistance quantitative trait Loci for three foliar diseases in a maize recombinant inbred line population-evidence for multiple disease resistance?

Authors:  John C Zwonitzer; Nathan D Coles; Matthew D Krakowsky; Consuelo Arellano; James B Holland; Michael D McMullen; Richard C Pratt; Peter J Balint-Kurti
Journal:  Phytopathology       Date:  2010-01       Impact factor: 4.025

4.  Quantitative trait loci for resistance to Sclerotinia sclerotiorum and its association with a homeologous non-reciprocal transposition in Brassica napus L.

Authors:  Jianwei Zhao; Joshua A Udall; Pablo A Quijada; Craig R Grau; Jinling Meng; Thomas C Osborn
Journal:  Theor Appl Genet       Date:  2005-12-07       Impact factor: 5.699

5.  Multiple roles of WIN3 in regulating disease resistance, cell death, and flowering time in Arabidopsis.

Authors:  Guan-Feng Wang; Savanna Seabolt; Safae Hamdoun; Gina Ng; Jin Park; Hua Lu
Journal:  Plant Physiol       Date:  2011-05-04       Impact factor: 8.340

6.  Expression, mapping, and genetic variability of Brassica napus disease resistance gene analogues.

Authors:  M Fourmann; F Chariot; N Froger; R Delourme; D Brunel
Journal:  Genome       Date:  2001-12       Impact factor: 2.166

7.  Development of public immortal mapping populations, molecular markers and linkage maps for rapid cycling Brassica rapa and B. oleracea.

Authors:  Federico Luis Iniguez-Luy; Lewis Lukens; Mark W Farnham; Richard M Amasino; Thomas C Osborn
Journal:  Theor Appl Genet       Date:  2009-09-26       Impact factor: 5.699

8.  Development and genetic mapping of 127 new microsatellite markers in barley.

Authors:  J Z Li; T G Sjakste; M S Röder; M W Ganal
Journal:  Theor Appl Genet       Date:  2003-07-16       Impact factor: 5.699

9.  Production and genetic analysis of partial hybrids in intertribal crosses between Brassica species (B. rapa, B. napus) and Capsella bursa-pastoris.

Authors:  Hai-Feng Chen; Hua Wang; Zai-Yun Li
Journal:  Plant Cell Rep       Date:  2007-06-14       Impact factor: 4.570

10.  A crop loss-related forecasting model for sclerotinia stem rot in winter oilseed rape.

Authors:  S Koch; S Dunker; B Kleinhenz; M Röhrig; A von Tiedemann
Journal:  Phytopathology       Date:  2007-09       Impact factor: 4.025

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  28 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

2.  Transfer of sclerotinia resistance from wild relative of Brassica oleracea into Brassica napus using a hexaploidy step.

Authors:  Jiaqin Mei; Yao Liu; Dayong Wei; Benjamin Wittkop; Yijuan Ding; Qinfei Li; Jiana Li; Huafang Wan; Zaiyun Li; Xianhong Ge; Martin Frauen; Rod J Snowdon; Wei Qian; Wolfgang Friedt
Journal:  Theor Appl Genet       Date:  2015-01-28       Impact factor: 5.699

3.  Attack modes and defence reactions in pathosystems involving Sclerotinia sclerotiorum, Brassica carinata, B. juncea and B. napus.

Authors:  Margaret B Uloth; Peta L Clode; Ming Pei You; Martin J Barbetti
Journal:  Ann Bot       Date:  2015-09-29       Impact factor: 4.357

4.  A large-scale introgression of genomic components of Brassica rapa into B. napus by the bridge of hexaploid derived from hybridization between B. napus and B. oleracea.

Authors:  Qinfei Li; Jiaqin Mei; Yongjing Zhang; Jiana Li; Xianhong Ge; Zaiyun Li; Wei Qian
Journal:  Theor Appl Genet       Date:  2013-05-23       Impact factor: 5.699

5.  Systemic Resistance to Powdery Mildew in Brassica napus (AACC) and Raphanus alboglabra (RRCC) by Trichoderma harzianum TH12.

Authors:  Jawadayn Talib Alkooranee; Yongtai Yin; Tamarah Raad Aledan; Yingfen Jiang; Guangyuan Lu; Jiangsheng Wu; Maoteng Li
Journal:  PLoS One       Date:  2015-11-05       Impact factor: 3.240

6.  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

Review 7.  Using wild relatives and related species to build climate resilience in Brassica crops.

Authors:  Daniela Quezada-Martinez; Charles P Addo Nyarko; Sarah V Schiessl; Annaliese S Mason
Journal:  Theor Appl Genet       Date:  2021-03-17       Impact factor: 5.699

8.  QTL Analysis of Head Splitting Resistance in Cabbage (Brassica oleracea L. var. capitata) Using SSR and InDel Makers Based on Whole-Genome Re-Sequencing.

Authors:  Yanbin Su; Yumei Liu; Zhansheng Li; Zhiyuan Fang; Limei Yang; Mu Zhuang; Yangyong Zhang
Journal:  PLoS One       Date:  2015-09-25       Impact factor: 3.240

9.  Mapping of genetic locus for leaf trichome in Brassica oleracea.

Authors:  Jiaqin Mei; Jinhua Wang; Yuehua Li; Shuai Tian; Dayong Wei; Chaoguo Shao; Jun Si; Qing Xiong; Jiana Li; Wei Qian
Journal:  Theor Appl Genet       Date:  2017-06-20       Impact factor: 5.699

10.  Identification of QTLs for resistance to sclerotinia stem rot and BnaC.IGMT5.a as a candidate gene of the major resistant QTL SRC6 in Brassica napus.

Authors:  Jian Wu; Guangqin Cai; Jiangying Tu; Lixia Li; Sheng Liu; Xinping Luo; Lipeng Zhou; Chuchuan Fan; Yongming Zhou
Journal:  PLoS One       Date:  2013-07-02       Impact factor: 3.240

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