Literature DB >> 26358652

Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection.

Weibo Xie1, Gongwei Wang1, Meng Yuan1, Wen Yao1, Kai Lyu1, Hu Zhao1, Meng Yang1, Pingbo Li1, Xing Zhang1, Jing Yuan1, Quanxiu Wang1, Fang Liu1, Huaxia Dong1, Lejing Zhang1, Xinglei Li1, Xiangzhou Meng1, Wan Zhang1, Lizhong Xiong1, Yuqing He1, Shiping Wang1, Sibin Yu1, Caiguo Xu1, Jie Luo1, Xianghua Li1, Jinghua Xiao1, Xingming Lian2, Qifa Zhang2.   

Abstract

Intensive rice breeding over the past 50 y has dramatically increased productivity especially in the indica subspecies, but our knowledge of the genomic changes associated with such improvement has been limited. In this study, we analyzed low-coverage sequencing data of 1,479 rice accessions from 73 countries, including landraces and modern cultivars. We identified two major subpopulations, indica I (IndI) and indica II (IndII), in the indica subspecies, which corresponded to the two putative heterotic groups resulting from independent breeding efforts. We detected 200 regions spanning 7.8% of the rice genome that had been differentially selected between IndI and IndII, and thus referred to as breeding signatures. These regions included large numbers of known functional genes and loci associated with important agronomic traits revealed by genome-wide association studies. Grain yield was positively correlated with the number of breeding signatures in a variety, suggesting that the number of breeding signatures in a line may be useful for predicting agronomic potential and the selected loci may provide targets for rice improvement.

Entities:  

Keywords:  GWAS; breeding signature; resequencing; rice improvement

Mesh:

Substances:

Year:  2015        PMID: 26358652      PMCID: PMC4593105          DOI: 10.1073/pnas.1515919112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  41 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-25       Impact factor: 11.205

2.  Comparative population genomics of maize domestication and improvement.

Authors:  Matthew B Hufford; Xun Xu; Joost van Heerwaarden; Tanja Pyhäjärvi; Jer-Ming Chia; Reed A Cartwright; Robert J Elshire; Jeffrey C Glaubitz; Kate E Guill; Shawn M Kaeppler; Jinsheng Lai; Peter L Morrell; Laura M Shannon; Chi Song; Nathan M Springer; Ruth A Swanson-Wagner; Peter Tiffin; Jun Wang; Gengyun Zhang; John Doebley; Michael D McMullen; Doreen Ware; Edward S Buckler; Shuang Yang; Jeffrey Ross-Ibarra
Journal:  Nat Genet       Date:  2012-06-03       Impact factor: 38.330

3.  Genome-wide association studies of 14 agronomic traits in rice landraces.

Authors:  Xuehui Huang; Xinghua Wei; Tao Sang; Qiang Zhao; Qi Feng; Yan Zhao; Canyang Li; Chuanrang Zhu; Tingting Lu; Zhiwu Zhang; Meng Li; Danlin Fan; Yunli Guo; Ahong Wang; Lu Wang; Liuwei Deng; Wenjun Li; Yiqi Lu; Qijun Weng; Kunyan Liu; Tao Huang; Taoying Zhou; Yufeng Jing; Wei Li; Zhang Lin; Edward S Buckler; Qian Qian; Qi-Fa Zhang; Jiayang Li; Bin Han
Journal:  Nat Genet       Date:  2010-10-24       Impact factor: 38.330

4.  Cytokinin oxidase regulates rice grain production.

Authors:  Motoyuki Ashikari; Hitoshi Sakakibara; Shaoyang Lin; Toshio Yamamoto; Tomonori Takashi; Asuka Nishimura; Enrique R Angeles; Qian Qian; Hidemi Kitano; Makoto Matsuoka
Journal:  Science       Date:  2005-06-23       Impact factor: 47.728

5.  Genetic composition of yield heterosis in an elite rice hybrid.

Authors:  Gang Zhou; Ying Chen; Wen Yao; Chengjun Zhang; Weibo Xie; Jinping Hua; Yongzhong Xing; Jinghua Xiao; Qifa Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-10       Impact factor: 11.205

6.  Predicting hybrid performance in rice using genomic best linear unbiased prediction.

Authors:  Shizhong Xu; Dan Zhu; Qifa Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2014-08-11       Impact factor: 11.205

7.  Mutations in the F-box gene LARGER PANICLE improve the panicle architecture and enhance the grain yield in rice.

Authors:  Ming Li; Ding Tang; Kejian Wang; Xinru Wu; Lili Lu; Hengxiu Yu; Minghong Gu; Changjie Yan; Zhukuan Cheng
Journal:  Plant Biotechnol J       Date:  2011-03-29       Impact factor: 9.803

8.  Genomewide SNP variation reveals relationships among landraces and modern varieties of rice.

Authors:  Kenneth L McNally; Kevin L Childs; Regina Bohnert; Rebecca M Davidson; Keyan Zhao; Victor J Ulat; Georg Zeller; Richard M Clark; Douglas R Hoen; Thomas E Bureau; Renee Stokowski; Dennis G Ballinger; Kelly A Frazer; David R Cox; Badri Padhukasahasram; Carlos D Bustamante; Detlef Weigel; David J Mackill; Richard M Bruskiewich; Gunnar Rätsch; C Robin Buell; Hei Leung; Jan E Leach
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-13       Impact factor: 11.205

9.  A whole-genome SNP array (RICE6K) for genomic breeding in rice.

Authors:  Huihui Yu; Weibo Xie; Jing Li; Fasong Zhou; Qifa Zhang
Journal:  Plant Biotechnol J       Date:  2013-09-13       Impact factor: 9.803

10.  A map of rice genome variation reveals the origin of cultivated rice.

Authors:  Xuehui Huang; Nori Kurata; Xinghua Wei; Zi-Xuan Wang; Ahong Wang; Qiang Zhao; Yan Zhao; Kunyan Liu; Hengyun Lu; Wenjun Li; Yunli Guo; Yiqi Lu; Congcong Zhou; Danlin Fan; Qijun Weng; Chuanrang Zhu; Tao Huang; Lei Zhang; Yongchun Wang; Lei Feng; Hiroyasu Furuumi; Takahiko Kubo; Toshie Miyabayashi; Xiaoping Yuan; Qun Xu; Guojun Dong; Qilin Zhan; Canyang Li; Asao Fujiyama; Atsushi Toyoda; Tingting Lu; Qi Feng; Qian Qian; Jiayang Li; Bin Han
Journal:  Nature       Date:  2012-10-03       Impact factor: 49.962

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  54 in total

1.  A quantitative genomics map of rice provides genetic insights and guides breeding.

Authors:  Xin Wei; Jie Qiu; Kaicheng Yong; Jiongjiong Fan; Qi Zhang; Hua Hua; Jie Liu; Qin Wang; Kenneth M Olsen; Bin Han; Xuehui Huang
Journal:  Nat Genet       Date:  2021-02-01       Impact factor: 38.330

2.  Genetic diversity, linkage disequilibrium, and population structure in a panel of Brazilian rice accessions.

Authors:  Eduardo Venske; Cássia Fernanda Stafen; Victoria Freitas de Oliveira; Luciano Carlos da Maia; Ariano Martins de Magalhães Junior; Kenneth L McNally; Antonio Costa de Oliveira; Camila Pegoraro
Journal:  J Appl Genet       Date:  2018-10-23       Impact factor: 3.240

3.  Genomic variation associated with local adaptation of weedy rice during de-domestication.

Authors:  Jie Qiu; Yongjun Zhou; Lingfeng Mao; Chuyu Ye; Weidi Wang; Jianping Zhang; Yongyi Yu; Fei Fu; Yunfei Wang; Feijian Qian; Ting Qi; Sanling Wu; Most Humaira Sultana; Ya-Nan Cao; Yu Wang; Michael P Timko; Song Ge; Longjiang Fan; Yongliang Lu
Journal:  Nat Commun       Date:  2017-05-24       Impact factor: 14.919

4.  Divergent selection and genetic introgression shape the genome landscape of heterosis in hybrid rice.

Authors:  Zechuan Lin; Peng Qin; Xuanwen Zhang; Chenjian Fu; Hanchao Deng; Xingxue Fu; Zhen Huang; Shuqin Jiang; Chen Li; Xiaoyan Tang; Xiangfeng Wang; Guangming He; Yuanzhu Yang; Hang He; Xing Wang Deng
Journal:  Proc Natl Acad Sci U S A       Date:  2020-02-18       Impact factor: 11.205

5.  Extensive sequence divergence between the reference genomes of two elite indica rice varieties Zhenshan 97 and Minghui 63.

Authors:  Jianwei Zhang; Ling-Ling Chen; Feng Xing; David A Kudrna; Wen Yao; Dario Copetti; Ting Mu; Weiming Li; Jia-Ming Song; Weibo Xie; Seunghee Lee; Jayson Talag; Lin Shao; Yue An; Chun-Liu Zhang; Yidan Ouyang; Shuai Sun; Wen-Biao Jiao; Fang Lv; Bogu Du; Meizhong Luo; Carlos Ernesto Maldonado; Jose Luis Goicoechea; Lizhong Xiong; Changyin Wu; Yongzhong Xing; Dao-Xiu Zhou; Sibin Yu; Yu Zhao; Gongwei Wang; Yeisoo Yu; Yijie Luo; Zhi-Wei Zhou; Beatriz Elena Padilla Hurtado; Ann Danowitz; Rod A Wing; Qifa Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-17       Impact factor: 11.205

6.  The E3 Ubiquitin Ligase HAF1 Modulates Circadian Accumulation of EARLY FLOWERING3 to Control Heading Date in Rice under Long-Day Conditions.

Authors:  Chunmei Zhu; Qiang Peng; Debao Fu; Dongxia Zhuang; Yiming Yu; Min Duan; Weibo Xie; Yaohui Cai; Yidang Ouyang; Xingming Lian; Changyin Wu
Journal:  Plant Cell       Date:  2018-09-21       Impact factor: 11.277

7.  Genome-Wide Association Studies Reveal the Genetic Basis of Ionomic Variation in Rice.

Authors:  Meng Yang; Kai Lu; Fang-Jie Zhao; Weibo Xie; Priya Ramakrishna; Guangyuan Wang; Qingqing Du; Limin Liang; Cuiju Sun; Hu Zhao; Zhanyi Zhang; Zonghao Liu; Jingjing Tian; Xin-Yuan Huang; Wensheng Wang; Huaxia Dong; Jintao Hu; Luchang Ming; Yongzhong Xing; Gongwei Wang; Jinhua Xiao; David E Salt; Xingming Lian
Journal:  Plant Cell       Date:  2018-10-29       Impact factor: 11.277

Review 8.  From markers to genome-based breeding in wheat.

Authors:  Awais Rasheed; Xianchun Xia
Journal:  Theor Appl Genet       Date:  2019-01-23       Impact factor: 5.699

9.  Identifying a large number of high-yield genes in rice by pedigree analysis, whole-genome sequencing, and CRISPR-Cas9 gene knockout.

Authors:  Ju Huang; Jing Li; Jun Zhou; Long Wang; Sihai Yang; Laurence D Hurst; Wen-Hsiung Li; Dacheng Tian
Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-23       Impact factor: 11.205

10.  Overexpression of a pH-sensitive nitrate transporter in rice increases crop yields.

Authors:  Xiaorong Fan; Zhong Tang; Yawen Tan; Yong Zhang; Bingbing Luo; Meng Yang; Xingming Lian; Qirong Shen; Anthony John Miller; Guohua Xu
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-06       Impact factor: 11.205

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