Literature DB >> 35152391

Genome-Wide Association Analyses to Identify SNPs Related to Drought Tolerance.

Shengxue Liu1, Feng Qin2.   

Abstract

Drought stress is a serious agronomic problem resulting in significant yield losses globally. Breeding cultivars with drought tolerance is an important strategy that can be used to address this problem. Drought tolerance, however, is a complex multigenic trait, making advancements with conventional breeding approaches very challenging. This emphasizes the importance of dissecting the genetics of this trait and the identification and cloning of genes responsible for drought tolerance. With the rapid development of sequencing technologies and analytic methodologies, genome-wide association study (GWAS) has become an important tool for detecting natural variations underlying complex traits in crops. Identified loci can serve as targets for genomic selection or precise editing that enables the molecular design of new cultivars. This chapter describes the pipeline of statistical methods used in GWAS analysis, and covers field design, quality control, population structure control, association tests, and visualization of data. GWAS methodology used to dissect the genetic basis of drought tolerance is presented, and perspectives for optimizing the design and analysis of GWAS are discussed. The provided information serves as a valuable resource for researchers interested in GWAS technology.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Crops; Drought tolerance; GWAS; Genotyping; Mixed model; Natural variation

Mesh:

Year:  2022        PMID: 35152391     DOI: 10.1007/978-1-0716-2156-1_16

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  39 in total

1.  Maize HapMap2 identifies extant variation from a genome in flux.

Authors:  Jer-Ming Chia; Chi Song; Peter J Bradbury; Denise Costich; Natalia de Leon; John Doebley; Robert J Elshire; Brandon Gaut; Laura Geller; Jeffrey C Glaubitz; Michael Gore; Kate E Guill; Jim Holland; Matthew B Hufford; Jinsheng Lai; Meng Li; Xin Liu; Yanli Lu; Richard McCombie; Rebecca Nelson; Jesse Poland; Boddupalli M Prasanna; Tanja Pyhäjärvi; Tingzhao Rong; Rajandeep S Sekhon; Qi Sun; Maud I Tenaillon; Feng Tian; Jun Wang; Xun Xu; Zhiwu Zhang; Shawn M Kaeppler; Jeffrey Ross-Ibarra; Michael D McMullen; Edward S Buckler; Gengyun Zhang; Yunbi Xu; Doreen Ware
Journal:  Nat Genet       Date:  2012-06-03       Impact factor: 38.330

2.  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

Review 3.  Genetic association mapping and genome organization of maize.

Authors:  Jianming Yu; Edward S Buckler
Journal:  Curr Opin Biotechnol       Date:  2006-02-28       Impact factor: 9.740

Review 4.  Natural variations and genome-wide association studies in crop plants.

Authors:  Xuehui Huang; Bin Han
Journal:  Annu Rev Plant Biol       Date:  2013-11-20       Impact factor: 26.379

Review 5.  The physiology of plant responses to drought.

Authors:  Aditi Gupta; Andrés Rico-Medina; Ana I Caño-Delgado
Journal:  Science       Date:  2020-04-17       Impact factor: 47.728

6.  Genetic variation in ZmVPP1 contributes to drought tolerance in maize seedlings.

Authors:  Xianglan Wang; Hongwei Wang; Shengxue Liu; Ali Ferjani; Jiansheng Li; Jianbing Yan; Xiaohong Yang; Feng Qin
Journal:  Nat Genet       Date:  2016-08-15       Impact factor: 38.330

Review 7.  ABA-dependent and ABA-independent signaling in response to osmotic stress in plants.

Authors:  Takuya Yoshida; Junro Mogami; Kazuko Yamaguchi-Shinozaki
Journal:  Curr Opin Plant Biol       Date:  2014-08-09       Impact factor: 7.834

8.  Genetic control of the root system in rice under normal and drought stress conditions by genome-wide association study.

Authors:  Xiaokai Li; Zilong Guo; Yan Lv; Xiang Cen; Xipeng Ding; Hua Wu; Xianghua Li; Jianping Huang; Lizhong Xiong
Journal:  PLoS Genet       Date:  2017-07-07       Impact factor: 5.917

9.  Genome-wide analysis of ZmDREB genes and their association with natural variation in drought tolerance at seedling stage of Zea mays L.

Authors:  Shengxue Liu; Xianglan Wang; Hongwei Wang; Haibo Xin; Xiaohong Yang; Jianbing Yan; Jiansheng Li; Lam-Son Phan Tran; Kazuo Shinozaki; Kazuko Yamaguchi-Shinozaki; Feng Qin
Journal:  PLoS Genet       Date:  2013-09-26       Impact factor: 5.917

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