Literature DB >> 29909527

Comparative genome-wide mapping versus extreme pool-genotyping and development of diagnostic SNP markers linked to QTL for adult plant resistance to stripe rust in common wheat.

Jianhui Wu1, Shuo Huang1,2, Qingdong Zeng1, Shengjie Liu1,2, Qilin Wang1, Jingmei Mu1,2, Shizhou Yu1,2, Dejun Han3,4, Zhensheng Kang5,6.   

Abstract

KEY MESSAGE: A major stripe rust resistance QTL on chromosome 4BL was localized to a 4.5-Mb interval using comparative QTL mapping methods and validated in 276 wheat genotypes by haplotype analysis. CYMMIT-derived wheat line P10103 was previously identified to have adult plant resistance (APR) to stripe rust in the greenhouse and field. The conventional approach for QTL mapping in common wheat is laborious. Here, we performed QTL detection of APR using a combination of genome-wide scanning and extreme pool-genotyping. SNP-based genetic maps were constructed using the Wheat55 K SNP array to genotype a recombinant inbred line (RIL) population derived from the cross Mingxian 169 × P10103. Five stable QTL were detected across multiple environments. A fter comparing SNP profiles from contrasting, extreme DNA pools of RILs six putative QTL were located to approximate chromosome positions. A major QTL on chromosome 4B was identified in F2:4 contrasting pools from cross Zhengmai 9023 × P10103. A consensus QTL (LOD = 26-40, PVE = 42-55%), named QYr.nwafu-4BL, was defined and localized to a 4.5-Mb interval flanked by SNP markers AX-110963704 and AX-110519862 in chromosome arm 4BL. Based on stripe rust response, marker genotypes, pedigree analysis and mapping data, QYr.nwafu-4BL is likely to be a new APR QTL. The applicability of the SNP-based markers flanking QYr.nwafu-4BL was validated on a diversity panel of 276 wheat lines. The additional minor QTL on chromosomes 4A, 5A, 5B and 6A enhanced the level of resistance conferred by QYr.nwafu-4BL. Marker-assisted pyramiding of QYr.nwafu-4BL and other favorable minor QTL in new wheat cultivars should improve the level of APR to stripe rust.

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Year:  2018        PMID: 29909527     DOI: 10.1007/s00122-018-3113-7

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


  48 in total

1.  Identification of markers linked to disease-resistance genes by bulked segregant analysis: a rapid method to detect markers in specific genomic regions by using segregating populations.

Authors:  R W Michelmore; I Paran; R V Kesseli
Journal:  Proc Natl Acad Sci U S A       Date:  1991-11-01       Impact factor: 11.205

2.  Draft genome of the wheat A-genome progenitor Triticum urartu.

Authors:  Hong-Qing Ling; Shancen Zhao; Dongcheng Liu; Junyi Wang; Hua Sun; Chi Zhang; Huajie Fan; Dong Li; Lingli Dong; Yong Tao; Chuan Gao; Huilan Wu; Yiwen Li; Yan Cui; Xiaosen Guo; Shusong Zheng; Biao Wang; Kang Yu; Qinsi Liang; Wenlong Yang; Xueyuan Lou; Jie Chen; Mingji Feng; Jianbo Jian; Xiaofei Zhang; Guangbin Luo; Ying Jiang; Junjie Liu; Zhaobao Wang; Yuhui Sha; Bairu Zhang; Huajun Wu; Dingzhong Tang; Qianhua Shen; Pengya Xue; Shenhao Zou; Xiujie Wang; Xin Liu; Famin Wang; Yanping Yang; Xueli An; Zhenying Dong; Kunpu Zhang; Xiangqi Zhang; Ming-Cheng Luo; Jan Dvorak; Yiping Tong; Jian Wang; Huanming Yang; Zhensheng Li; Daowen Wang; Aimin Zhang; Jun Wang
Journal:  Nature       Date:  2013-03-24       Impact factor: 49.962

3.  QTL mapping for adult-plant resistance to stripe rust in Italian common wheat cultivars Libellula and Strampelli.

Authors:  Yaming Lu; Caixia Lan; Shanshan Liang; Xiangchun Zhou; Di Liu; Gang Zhou; Qinglin Lu; Jinxue Jing; Meinan Wang; Xianchun Xia; Zhonghu He
Journal:  Theor Appl Genet       Date:  2009-09-16       Impact factor: 5.699

4.  QTL identification and microphenotype characterisation of the developmentally regulated yellow rust resistance in the UK wheat cultivar Guardian.

Authors:  J P E Melichar; S Berry; C Newell; R MacCormack; L A Boyd
Journal:  Theor Appl Genet       Date:  2008-05-15       Impact factor: 5.699

5.  Microsatellite markers for genes lr34/yr18 and other quantitative trait Loci for leaf rust and stripe rust resistance in bread wheat.

Authors:  K Suenaga; R P Singh; J Huerta-Espino; H M William
Journal:  Phytopathology       Date:  2003-07       Impact factor: 4.025

6.  Transcript-specific, single-nucleotide polymorphism discovery and linkage analysis in hexaploid bread wheat (Triticum aestivum L.).

Authors:  Alexandra M Allen; Gary L A Barker; Simon T Berry; Jane A Coghill; Rhian Gwilliam; Susan Kirby; Phil Robinson; Rachel C Brenchley; Rosalinda D'Amore; Neil McKenzie; Darren Waite; Anthony Hall; Michael Bevan; Neil Hall; Keith J Edwards
Journal:  Plant Biotechnol J       Date:  2011-06-01       Impact factor: 9.803

7.  Mapping a Large Number of QTL for Durable Resistance to Stripe Rust in Winter Wheat Druchamp Using SSR and SNP Markers.

Authors:  Lu Hou; Xianming Chen; Meinan Wang; Deven R See; Shiaoman Chao; Peter Bulli; Jinxue Jing
Journal:  PLoS One       Date:  2015-05-13       Impact factor: 3.240

Review 8.  Quantitative trait loci of stripe rust resistance in wheat.

Authors:  G M Rosewarne; S A Herrera-Foessel; R P Singh; J Huerta-Espino; C X Lan; Z H He
Journal:  Theor Appl Genet       Date:  2013-08-17       Impact factor: 5.699

9.  PolyMarker: A fast polyploid primer design pipeline.

Authors:  Ricardo H Ramirez-Gonzalez; Cristobal Uauy; Mario Caccamo
Journal:  Bioinformatics       Date:  2015-02-02       Impact factor: 6.937

Review 10.  Sequencing pools of individuals - mining genome-wide polymorphism data without big funding.

Authors:  Christian Schlötterer; Raymond Tobler; Robert Kofler; Viola Nolte
Journal:  Nat Rev Genet       Date:  2014-09-23       Impact factor: 53.242

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  6 in total

1.  Enhanced stripe rust resistance obtained by combining Yr30 with a widely dispersed, consistent QTL on chromosome arm 4BL.

Authors:  Shengjie Liu; Xiaoting Wang; Yayun Zhang; Yangang Jin; Zhonghua Xia; Mingjie Xiang; Shuo Huang; Linyi Qiao; Weijun Zheng; Qingdong Zeng; Qilin Wang; Rui Yu; Ravi P Singh; Sridhar Bhavani; Zhensheng Kang; Dejun Han; Changfa Wang; Jianhui Wu
Journal:  Theor Appl Genet       Date:  2021-10-19       Impact factor: 5.699

2.  Refined mapping of stripe rust resistance gene YrP10090 within a desirable haplotype for wheat improvement on chromosome 6A.

Authors:  Shengjie Liu; Shuo Huang; Qingdong Zeng; Xiaoting Wang; Rui Yu; Qilin Wang; Ravi P Singh; Sridhar Bhavani; Zhensheng Kang; Jianhui Wu; Dejun Han
Journal:  Theor Appl Genet       Date:  2021-03-08       Impact factor: 5.574

3.  RNAi-mediated stable silencing of TaCSN5 confers broad-spectrum resistance to Puccinia striiformis f. sp. tritici.

Authors:  Xingxuan Bai; Xueling Huang; Shuxin Tian; Huan Peng; Gangming Zhan; Farhan Goher; Jia Guo; Zhensheng Kang; Jun Guo
Journal:  Mol Plant Pathol       Date:  2021-01-24       Impact factor: 5.663

4.  Genome-wide association mapping reveals potential novel loci controlling stripe rust resistance in a Chinese wheat landrace diversity panel from the southern autumn-sown spring wheat zone.

Authors:  Yuqi Wang; Can Yu; Yukun Cheng; Fangjie Yao; Li Long; Yu Wu; Jing Li; Hao Li; Jirui Wang; Qiantao Jiang; Wei Li; Zhien Pu; Pengfei Qi; Jian Ma; Mei Deng; Yuming Wei; Xianming Chen; Guoyue Chen; Houyang Kang; Yunfeng Jiang; Youliang Zheng
Journal:  BMC Genomics       Date:  2021-01-07       Impact factor: 3.969

5.  A major QTL co-localized on chromosome 6BL and its epistatic interaction for enhanced wheat stripe rust resistance.

Authors:  Qingdong Zeng; Jianhui Wu; Shengjie Liu; Shuo Huang; Qilin Wang; Jingmei Mu; Shizhou Yu; Dejun Han; Zhensheng Kang
Journal:  Theor Appl Genet       Date:  2019-02-01       Impact factor: 5.699

6.  A large-scale genomic association analysis identifies the candidate causal genes conferring stripe rust resistance under multiple field environments.

Authors:  Jianhui Wu; Rui Yu; Haiying Wang; Cai'e Zhou; Shuo Huang; Hanxuan Jiao; Shizhou Yu; Xiaojun Nie; Qilin Wang; Shengjie Liu; Song Weining; Ravi Prakash Singh; Sridhar Bhavani; Zhensheng Kang; Dejun Han; Qingdong Zeng
Journal:  Plant Biotechnol J       Date:  2020-09-03       Impact factor: 9.803

  6 in total

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