Literature DB >> 26503608

Genome-wide association study of 29 morphological traits in Aegilops tauschii.

Yaxi Liu1, Lang Wang1, Shuangshuang Mao1, Kun Liu1, Yanli Lu2, Jirui Wang1, Yuming Wei1, Youliang Zheng1.   

Abstract

Aegilops tauschii is the D-genome progenitor of hexaploid wheat (Triticum aestivum). It is considered to be an important source of genetic variation for wheat breeding, and its genome is an invaluable reference for wheat genomics. We conducted a genome-wide association study using 7,185 single nucleotide polymorphism (SNP) markers across 322 diverse accessions of Ae. tauschii that were systematically phenotyped for 29 morphological traits in order to identify marker-trait associations and candidate genes, assess genetic diversity, and classify the accessions based on phenotypic data and genotypic comparison. Using the general linear model and mixed linear model, we identified a total of 18 SNPs significantly associated with 10 morphological traits. Systematic search of the flanking sequences of trait-associated SNPs in public databases identified several genes that may be linked to variations in phenotypes. Cluster analysis using phenotypic data grouped accessions into four clusters, while accessions in the same cluster were not from the same Ae. tauschii subspecies or from the same area of origin. This work establishes a fundamental research platform for association studies in Ae. tauschii and also provides useful information for understanding the genetic mechanism of agronomic traits in wheat.

Entities:  

Mesh:

Year:  2015        PMID: 26503608      PMCID: PMC4622089          DOI: 10.1038/srep15562

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  26 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.  An update of the Courtot x Chinese Spring intervarietal molecular marker linkage map for the QTL detection of agronomic traits in wheat.

Authors:  P Sourdille; T Cadalen; H Guyomarc'h; J W Snape; M R Perretant; G Charmet; C Boeuf; S Bernard; M Bernard
Journal:  Theor Appl Genet       Date:  2002-09-19       Impact factor: 5.699

Review 3.  Structure of linkage disequilibrium in plants.

Authors:  Sherry A Flint-Garcia; Jeffry M Thornsberry; Edward S Buckler
Journal:  Annu Rev Plant Biol       Date:  2003       Impact factor: 26.379

4.  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 5.  Genetic architecture of complex traits in plants.

Authors:  James B Holland
Journal:  Curr Opin Plant Biol       Date:  2007-02-08       Impact factor: 7.834

Review 6.  Genetic dissection of complex traits.

Authors:  E S Lander; N J Schork
Journal:  Science       Date:  1994-09-30       Impact factor: 47.728

7.  Association and linkage analysis of aluminum tolerance genes in maize.

Authors:  Allison M Krill; Matias Kirst; Leon V Kochian; Edward S Buckler; Owen A Hoekenga
Journal:  PLoS One       Date:  2010-04-01       Impact factor: 3.240

8.  Aegilops tauschii single nucleotide polymorphisms shed light on the origins of wheat D-genome genetic diversity and pinpoint the geographic origin of hexaploid wheat.

Authors:  Jirui Wang; Ming-Cheng Luo; Zhongxu Chen; Frank M You; Yuming Wei; Youliang Zheng; Jan Dvorak
Journal:  New Phytol       Date:  2013-02-04       Impact factor: 10.151

9.  Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines.

Authors:  Susanna Atwell; Yu S Huang; Bjarni J Vilhjálmsson; Glenda Willems; Matthew Horton; Yan Li; Dazhe Meng; Alexander Platt; Aaron M Tarone; Tina T Hu; Rong Jiang; N Wayan Muliyati; Xu Zhang; Muhammad Ali Amer; Ivan Baxter; Benjamin Brachi; Joanne Chory; Caroline Dean; Marilyne Debieu; Juliette de Meaux; Joseph R Ecker; Nathalie Faure; Joel M Kniskern; Jonathan D G Jones; Todd Michael; Adnane Nemri; Fabrice Roux; David E Salt; Chunlao Tang; Marco Todesco; M Brian Traw; Detlef Weigel; Paul Marjoram; Justin O Borevitz; Joy Bergelson; Magnus Nordborg
Journal:  Nature       Date:  2010-03-24       Impact factor: 49.962

10.  Genome-wide association studies for agronomical traits in a world wide spring barley collection.

Authors:  Raj K Pasam; Rajiv Sharma; Marcos Malosetti; Fred A van Eeuwijk; Grit Haseneyer; Benjamin Kilian; Andreas Graner
Journal:  BMC Plant Biol       Date:  2012-01-27       Impact factor: 4.215

View more
  17 in total

1.  easyGWAS: A Cloud-Based Platform for Comparing the Results of Genome-Wide Association Studies.

Authors:  Dominik G Grimm; Damian Roqueiro; Patrice A Salomé; Stefan Kleeberger; Bastian Greshake; Wangsheng Zhu; Chang Liu; Christoph Lippert; Oliver Stegle; Bernhard Schölkopf; Detlef Weigel; Karsten M Borgwardt
Journal:  Plant Cell       Date:  2016-12-16       Impact factor: 11.277

2.  SSR-based association mapping of fiber quality in upland cotton using an eight-way MAGIC population.

Authors:  Cong Huang; Chao Shen; Tianwang Wen; Bin Gao; Xiaofang Li; Muhammad Mahmood Ahmed; Dingguo Li; Zhongxu Lin
Journal:  Mol Genet Genomics       Date:  2018-02-01       Impact factor: 3.291

3.  A large-scale chromosome-specific SNP discovery guideline.

Authors:  Bala Ani Akpinar; Stuart Lucas; Hikmet Budak
Journal:  Funct Integr Genomics       Date:  2016-11-29       Impact factor: 3.410

4.  Genome-wide association study reveals distinct genetic associations related to leaf hair density in two lineages of wheat-wild relative Aegilops tauschii.

Authors:  Mazin Mahjoob Mohamed Mahjoob; Nasrein Mohamed Kamal; Yasir Serag Alnor Gorafi; Hisashi Tsujimoto
Journal:  Sci Rep       Date:  2022-10-19       Impact factor: 4.996

Review 5.  Wheat genetic resources in the post-genomics era: promise and challenges.

Authors:  Awais Rasheed; Abdul Mujeeb-Kazi; Francis Chuks Ogbonnaya; Zhonghu He; Sanjaya Rajaram
Journal:  Ann Bot       Date:  2018-03-14       Impact factor: 4.357

6.  Transcriptomic analysis of Aegilops tauschii during long-term salinity stress.

Authors:  Mehdi Mansouri; Mohammad Reza Naghavi; Hoshang Alizadeh; Ghasem Mohammadi-Nejad; Seyed Ahmad Mousavi; Ghasem Hosseini Salekdeh; Yuichi Tada
Journal:  Funct Integr Genomics       Date:  2018-06-21       Impact factor: 3.410

7.  Genome-wide association study identified genetic variations and candidate genes for plant architecture component traits in Chinese upland cotton.

Authors:  Junji Su; Libei Li; Chi Zhang; Caixiang Wang; Lijiao Gu; Hantao Wang; Hengling Wei; Qibao Liu; Long Huang; Shuxun Yu
Journal:  Theor Appl Genet       Date:  2018-03-01       Impact factor: 5.699

8.  Genome-Wide Association Study on Root Traits Under Different Growing Environments in Wheat ( Triticum aestivum L.).

Authors:  Fengdan Xu; Shulin Chen; Xiwen Yang; Sumei Zhou; Junsen Wang; Ziliang Zhang; Yuan Huang; Miao Song; Jun Zhang; Kehui Zhan; Dexian He
Journal:  Front Genet       Date:  2021-06-10       Impact factor: 4.599

9.  Genome Wide Single Locus Single Trait, Multi-Locus and Multi-Trait Association Mapping for Some Important Agronomic Traits in Common Wheat (T. aestivum L.).

Authors:  Vandana Jaiswal; Vijay Gahlaut; Prabina Kumar Meher; Reyazul Rouf Mir; Jai Prakash Jaiswal; Atmakuri Ramakrishna Rao; Harindra Singh Balyan; Pushpendra Kumar Gupta
Journal:  PLoS One       Date:  2016-07-21       Impact factor: 3.240

Review 10.  Harnessing Diversity in Wheat to Enhance Grain Yield, Climate Resilience, Disease and Insect Pest Resistance and Nutrition Through Conventional and Modern Breeding Approaches.

Authors:  Suchismita Mondal; Jessica E Rutkoski; Govindan Velu; Pawan K Singh; Leonardo A Crespo-Herrera; Carlos Guzmán; Sridhar Bhavani; Caixia Lan; Xinyao He; Ravi P Singh
Journal:  Front Plant Sci       Date:  2016-07-06       Impact factor: 5.753

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.