Literature DB >> 28577083

Genome-wide association study for agronomic and physiological traits in spring wheat evaluated in a range of heat prone environments.

Francis C Ogbonnaya1,2, Awais Rasheed3,4, Emeka C Okechukwu5,6, Abdulqader Jighly7,8,9, Farid Makdis10, Tadesse Wuletaw7, Adel Hagras7, Michael I Uguru5, Christian U Agbo5.   

Abstract

KEY MESSAGE: We identified 27 stable loci associated with agronomic traits in spring wheat using genome-wide association analysis, some of which confirmed previously reported studies. GWAS peaks identified in regions where no QTL for grain yield per se has been mapped to date, provide new opportunities for gene discovery and creation of new cultivars with desirable alleles for improving yield and yield stability in wheat. We undertook large-scale genetic analysis to determine marker-trait associations (MTAs) underlying agronomic and physiological performance in spring wheat using genome-wide association studies (GWAS). Field trials were conducted at seven sites in three countries (Sudan, Egypt, and Syria) over 2-3 years in each country. Twenty-five agronomic and physiological traits were measured on 188 wheat genotypes. After correcting for population structure and relatedness, a total of 245 MTAs distributed over 66 loci were associated with agronomic traits in individual and mean performance across environments respectively; some of which confirmed previously reported loci. Of these, 27 loci were significantly associated with days to heading, thousand kernel weight, grain yield, spike length, and leaf rolling for mean performance across environments. Despite strong QTL by environment interactions, eight of the loci on chromosomes 1A, 1D, 5A, 5D, 6B, 7A, and 7B had pleiotropic effects on days to heading and yield components (TKW, SM-2, and SNS). The winter-type alleles at the homoeologous VRN1 loci significantly increased days to heading and grain yield in optimal environments, but decreased grain yield in heat prone environments. Top 20 high-yielding genotypes, ranked by additive main effects and multiplicative interaction (AMMI), had low kinship relationship and possessed 4-5 favorable alleles for GY MTAs except two genotypes, Shadi-4 and Qafzah-11/Bashiq-1-2. This indicated different yield stability mechanisms due to potentially favorable rare alleles that are uncharacterized. Our results will enable wheat breeders to effectively introgress several desirable alleles into locally adapted germplasm in developing wheat varieties with high yield stability and enhanced heat tolerance.

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Year:  2017        PMID: 28577083     DOI: 10.1007/s00122-017-2927-z

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


  43 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Detection of two major grain yield QTL in bread wheat (Triticum aestivum L.) under heat, drought and high yield potential environments.

Authors:  Dion Bennett; Matthew Reynolds; Daniel Mullan; Ali Izanloo; Haydn Kuchel; Peter Langridge; Thorsten Schnurbusch
Journal:  Theor Appl Genet       Date:  2012-07-08       Impact factor: 5.699

3.  TASSEL: software for association mapping of complex traits in diverse samples.

Authors:  Peter J Bradbury; Zhiwu Zhang; Dallas E Kroon; Terry M Casstevens; Yogesh Ramdoss; Edward S Buckler
Journal:  Bioinformatics       Date:  2007-06-22       Impact factor: 6.937

4.  Quantitative trait loci for yield and related traits in the wheat population Ning7840 x Clark.

Authors:  F Marza; G-H Bai; B F Carver; W-C Zhou
Journal:  Theor Appl Genet       Date:  2005-12-21       Impact factor: 5.699

5.  GAPIT: genome association and prediction integrated tool.

Authors:  Alexander E Lipka; Feng Tian; Qishan Wang; Jason Peiffer; Meng Li; Peter J Bradbury; Michael A Gore; Edward S Buckler; Zhiwu Zhang
Journal:  Bioinformatics       Date:  2012-07-13       Impact factor: 6.937

6.  Genetic dissection of grain yield in bread wheat. I. QTL analysis.

Authors:  H Kuchel; K J Williams; P Langridge; H A Eagles; S P Jefferies
Journal:  Theor Appl Genet       Date:  2007-08-23       Impact factor: 5.699

7.  Genome-wide association study for grain yield and related traits in an elite spring wheat population grown in temperate irrigated environments.

Authors:  Sivakumar Sukumaran; Susanne Dreisigacker; Marta Lopes; Perla Chavez; Matthew P Reynolds
Journal:  Theor Appl Genet       Date:  2014-12-10       Impact factor: 5.699

8.  Meta-QTL analysis of the genetic control of ear emergence in elite European winter wheat germplasm.

Authors:  Simon Griffiths; James Simmonds; Michelle Leverington; Yingkun Wang; Lesley Fish; Liz Sayers; Leodie Alibert; Simon Orford; Luzie Wingen; Laurence Herry; Sebastien Faure; David Laurie; Lorelei Bilham; John Snape
Journal:  Theor Appl Genet       Date:  2009-05-09       Impact factor: 5.699

9.  An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations.

Authors:  Vincent Segura; Bjarni J Vilhjálmsson; Alexander Platt; Arthur Korte; Ümit Seren; Quan Long; Magnus Nordborg
Journal:  Nat Genet       Date:  2012-06-17       Impact factor: 38.330

10.  Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis.

Authors:  Awais Rasheed; Xianchun Xia; Francis Ogbonnaya; Tariq Mahmood; Zongwen Zhang; Abdul Mujeeb-Kazi; Zhonghu He
Journal:  BMC Plant Biol       Date:  2014-05-09       Impact factor: 4.215

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Authors:  Brian P Ward; Gina Brown-Guedira; Frederic L Kolb; David A Van Sanford; Priyanka Tyagi; Clay H Sneller; Carl A Griffey
Journal:  PLoS One       Date:  2019-02-22       Impact factor: 3.240

2.  Sewage waste water application improves the productivity of diverse wheat (Triticum aestivum L.) cultivars on a sandy loam soil.

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Journal:  Environ Sci Pollut Res Int       Date:  2019-04-17       Impact factor: 4.223

3.  Genetic networks underlying salinity tolerance in wheat uncovered with genome-wide analyses and selective sweeps.

Authors:  Danting Shan; Mohsin Ali; Mohammed Shahid; Anjuman Arif; Muhammad Qandeel Waheed; Xianchun Xia; Richard Trethowan; Mark Tester; Jesse Poland; Francis C Ogbonnaya; Awais Rasheed; Zhonghu He; Huihui Li
Journal:  Theor Appl Genet       Date:  2022-08-01       Impact factor: 5.574

4.  A GBS-based GWAS analysis of adaptability and yield traits in bread wheat (Triticum aestivum L.).

Authors:  Saba Akram; Mian Abdur Rehman Arif; Amjad Hameed
Journal:  J Appl Genet       Date:  2020-10-30       Impact factor: 3.240

5.  Identification of Genes Related to Cold Tolerance and a Functional Allele That Confers Cold Tolerance.

Authors:  Ning Xiao; Yong Gao; Huangjun Qian; Qiang Gao; Yunyu Wu; Dongping Zhang; Xiaoxiang Zhang; Ling Yu; Yuhong Li; Cunhong Pan; Guangqing Liu; Changhai Zhou; Min Jiang; Niansheng Huang; Zhengyuan Dai; Chengzhi Liang; Zhou Chen; Jianmin Chen; Aihong Li
Journal:  Plant Physiol       Date:  2018-05-15       Impact factor: 8.340

6.  Breeding for dual-purpose wheat varieties using marker-trait associations for biomass yield and quality traits.

Authors:  Pernille L Malik; Luc Janss; Linda K Nielsen; Finn Borum; Henning Jørgensen; Birger Eriksen; Jan K Schjoerring; Søren K Rasmussen
Journal:  Theor Appl Genet       Date:  2019-09-25       Impact factor: 5.699

7.  Genome-wide association study identifies QTL for thousand grain weight in winter wheat under normal- and late-sown stressed environments.

Authors:  Xiaobo Wang; Panfeng Guan; Mingming Xin; Yongfa Wang; Xiyong Chen; Aiju Zhao; Manshuang Liu; Hongxia Li; Mingyi Zhang; Lahu Lu; Jinbo Zhang; Zhongfu Ni; Yingyin Yao; Zhaorong Hu; Huiru Peng; Qixin Sun
Journal:  Theor Appl Genet       Date:  2020-10-08       Impact factor: 5.699

8.  Large-scale integration of meta-QTL and genome-wide association study discovers the genomic regions and candidate genes for yield and yield-related traits in bread wheat.

Authors:  Yang Yang; Aduragbemi Amo; Di Wei; Yongmao Chai; Jie Zheng; Pengfang Qiao; Chunge Cui; Shan Lu; Liang Chen; Yin-Gang Hu
Journal:  Theor Appl Genet       Date:  2021-06-17       Impact factor: 5.699

9.  Genome-wide association study of six quality-related traits in common wheat (Triticum aestivum L.) under two sowing conditions.

Authors:  Hongyao Lou; Runqi Zhang; Yitong Liu; Dandan Guo; Shanshan Zhai; Aiyan Chen; Yufeng Zhang; Chaojie Xie; Mingshan You; Huiru Peng; Rongqi Liang; Zhongfu Ni; Qixin Sun; Baoyun Li
Journal:  Theor Appl Genet       Date:  2020-11-05       Impact factor: 5.699

10.  Mapping QTL for agronomic traits under two levels of salt stress in a new constructed RIL wheat population.

Authors:  Qiaoling Luo; Qi Zheng; Pan Hu; Liqin Liu; Guotang Yang; Hongwei Li; Bin Li; Zhensheng Li
Journal:  Theor Appl Genet       Date:  2020-09-29       Impact factor: 5.699

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