Literature DB >> 36205736

Nested association mapping-based GWAS for grain yield and related traits in wheat grown under diverse Australian environments.

Charity Chidzanga1,2, Daniel Mullan2,3, Stuart Roy1,2, Ute Baumann4,5, Melissa Garcia1,2,6.   

Abstract

KEY MESSAGE: Utilising a nested association mapping (NAM) population-based GWAS, 98 stable marker-trait associations with 127 alleles unique to the exotic parents were detected for grain yield and related traits in wheat. Grain yield, thousand-grain weight, screenings and hectolitre weight are important wheat yield traits. An understanding of their genetic basis is crucial for improving grain yield in breeding programmes. Nested association mapping (NAM) populations are useful resources for the dissection of the genetic basis of complex traits such as grain yield and related traits in wheat. Coupled with phenotypic data collected from multiple environments, NAM populations have the power to detect quantitative trait loci and their multiple alleles, providing germplasm that can be incorporated into breeding programmes. In this study, we evaluated a large-scale wheat NAM population with two recurrent parents in unbalanced trials in nine diverse Australian field environments over three years. By applying a single-stage factor analytical linear mixed model (FALMM) to the NAM multi-environment trials (MET) data and conducting a genome-wide association study (GWAS), we detected 98 stable marker-trait associations (MTAs) with their multiple alleles. 74 MTAs had 127 alleles that were derived from the exotic parents and were absent in either of the two recurrent parents. The exotic alleles had favourable effects on 46 MTAs of the 74 MTAs, for grain yield, thousand-grain weight, screenings and hectolitre weight. Two NAM RILs with consistently high yield in multiple environments were also identified, highlighting the potential of the NAM population in supporting plant breeding through provision of germplasm that can be readily incorporated into breeding programmes. The identified beneficial exotic alleles introgressed into the NAM population provide potential target alleles for the genetic improvement of wheat and further studies aimed at pinpointing the underlying genes.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 36205736     DOI: 10.1007/s00122-022-04230-9

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.574


  33 in total

1.  Analysis of yield and oil from a series of canola breeding trials. Part I. Fitting factor analytic mixed models with pedigree information.

Authors:  C P Beeck; W A Cowling; A B Smith; B R Cullis
Journal:  Genome       Date:  2010-11       Impact factor: 2.166

2.  GrainGenes: centralized small grain resources and digital platform for geneticists and breeders.

Authors:  Victoria C Blake; Margaret R Woodhouse; Gerard R Lazo; Sarah G Odell; Charlene P Wight; Nicholas A Tinker; Yi Wang; Yong Q Gu; Clay L Birkett; Jean-Luc Jannink; Dave E Matthews; David L Hane; Steve L Michel; Eric Yao; Taner Z Sen
Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

3.  An innovative procedure of genome-wide association analysis fits studies on germplasm population and plant breeding.

Authors:  Jianbo He; Shan Meng; Tuanjie Zhao; Guangnan Xing; Shouping Yang; Yan Li; Rongzhan Guan; Jiangjie Lu; Yufeng Wang; Qiuju Xia; Bing Yang; Junyi Gai
Journal:  Theor Appl Genet       Date:  2017-08-21       Impact factor: 5.699

4.  Development of an Australian Bread Wheat Nested Association Mapping Population, a New Genetic Diversity Resource for Breeding under Dry and Hot Climates.

Authors:  Charity Chidzanga; Delphine Fleury; Ute Baumann; Dan Mullan; Sayuri Watanabe; Priyanka Kalambettu; Robert Pontre; James Edwards; Kerrie Forrest; Debbie Wong; Peter Langridge; Ken Chalmers; Melissa Garcia
Journal:  Int J Mol Sci       Date:  2021-04-21       Impact factor: 5.923

5.  Dissection of Genetic Basis Underpinning Kernel Weight-Related Traits in Common Wheat.

Authors:  Shunda Li; Liang Wang; Yaning Meng; Yuanfeng Hao; Hongxin Xu; Min Hao; Suque Lan; Yingjun Zhang; Liangjie Lv; Kai Zhang; Xiaohui Peng; Caixia Lan; Xingpu Li; Yelun Zhang
Journal:  Plants (Basel)       Date:  2021-04-07

6.  Genetic Architecture of a Rice Nested Association Mapping Population.

Authors:  Christopher A Fragoso; Maria Moreno; Zuoheng Wang; Christopher Heffelfinger; Lady J Arbelaez; John A Aguirre; Natalia Franco; Luz E Romero; Karine Labadie; Hongyu Zhao; Stephen L Dellaporta; Mathias Lorieux
Journal:  G3 (Bethesda)       Date:  2017-06-07       Impact factor: 3.154

7.  Genome-wide association mapping of grain yield in a diverse collection of spring wheat (Triticum aestivum L.) evaluated in southern Australia.

Authors:  Melissa Garcia; Paul Eckermann; Stephan Haefele; Sanjiv Satija; Beata Sznajder; Andy Timmins; Ute Baumann; Petra Wolters; Diane E Mather; Delphine Fleury
Journal:  PLoS One       Date:  2019-02-04       Impact factor: 3.240

8.  A large nested association mapping population for breeding and quantitative trait locus mapping in Ethiopian durum wheat.

Authors:  Yosef G Kidane; Cherinet A Gesesse; Bogale N Hailemariam; Ermias A Desta; Dejene K Mengistu; Carlo Fadda; Mario Enrico Pè; Matteo Dell'Acqua
Journal:  Plant Biotechnol J       Date:  2019-02-09       Impact factor: 9.803

Review 9.  The advantages and limitations of trait analysis with GWAS: a review.

Authors:  Arthur Korte; Ashley Farlow
Journal:  Plant Methods       Date:  2013-07-22       Impact factor: 4.993

10.  Multi-parent multi-environment QTL analysis: an illustration with the EU-NAM Flint population.

Authors:  Vincent Garin; Marcos Malosetti; Fred van Eeuwijk
Journal:  Theor Appl Genet       Date:  2020-06-09       Impact factor: 5.699

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.