Literature DB >> 33442955

Status and prospects of genome-wide association studies in plants.

Laura Tibbs Cortes1, Zhiwu Zhang2, Jianming Yu1.   

Abstract

Genome-wide association studies (GWAS) have developed into a powerful and ubiquitous tool for the investigation of complex traits. In large part, this was fueled by advances in genomic technology, enabling us to examine genome-wide genetic variants across diverse genetic materials. The development of the mixed model framework for GWAS dramatically reduced the number of false positives compared with naïve methods. Building on this foundation, many methods have since been developed to increase computational speed or improve statistical power in GWAS. These methods have allowed the detection of genomic variants associated with either traditional agronomic phenotypes or biochemical and molecular phenotypes. In turn, these associations enable applications in gene cloning and in accelerated crop breeding through marker assisted selection or genetic engineering. Current topics of investigation include rare-variant analysis, synthetic associations, optimizing the choice of GWAS model, and utilizing GWAS results to advance knowledge of biological processes. Ongoing research in these areas will facilitate further advances in GWAS methods and their applications.
© 2020 The Authors. The Plant Genome published by Wiley Periodicals LLC on behalf of Crop Science Society of America.

Year:  2021        PMID: 33442955     DOI: 10.1002/tpg2.20077

Source DB:  PubMed          Journal:  Plant Genome        ISSN: 1940-3372            Impact factor:   4.089


  28 in total

1.  GWAS for main effects and epistatic interactions for grain morphology traits in wheat.

Authors:  Parveen Malik; Jitendra Kumar; Shiveta Sharma; Prabina Kumar Meher; Harindra Singh Balyan; Pushpendra Kumar Gupta; Shailendra Sharma
Journal:  Physiol Mol Biol Plants       Date:  2022-03-26

Review 2.  Genome-Wide Association Study Statistical Models: A Review.

Authors:  Mohsen Yoosefzadeh-Najafabadi; Milad Eskandari; François Belzile; Davoud Torkamaneh
Journal:  Methods Mol Biol       Date:  2022

Review 3.  Genetic insights in pearl millet breeding in the genomic era: challenges and prospects.

Authors:  Mandeep Singh; Usha Nara
Journal:  Plant Biotechnol Rep       Date:  2022-06-06       Impact factor: 2.496

Review 4.  Omics Path to Increasing Productivity in Less-Studied Crops Under Changing Climate-Lentil a Case Study.

Authors:  Manish Tiwari; Baljinder Singh; Doohong Min; S V Krishna Jagadish
Journal:  Front Plant Sci       Date:  2022-05-09       Impact factor: 6.627

5.  Genetic architecture and genomic predictive ability of apple quantitative traits across environments.

Authors:  Michaela Jung; Beat Keller; Morgane Roth; Maria José Aranzana; Annemarie Auwerkerken; Walter Guerra; Mehdi Al-Rifaï; Mariusz Lewandowski; Nadia Sanin; Marijn Rymenants; Frédérique Didelot; Christian Dujak; Carolina Fonti Forcada; Andrea Knauf; François Laurens; Bruno Studer; Hélène Muranty; Andrea Patocch
Journal:  Hortic Res       Date:  2022-02-19       Impact factor: 7.291

6.  Genetic mapping and prediction of flowering time and plant height in a maize Stiff Stalk MAGIC population.

Authors:  Kathryn J Michel; Dayane C Lima; Hope Hundley; Vasanth Singan; Yuko Yoshinaga; Chris Daum; Kerrie Barry; Karl W Broman; C Robin Buell; Natalia de Leon; Shawn M Kaeppler
Journal:  Genetics       Date:  2022-05-31       Impact factor: 4.402

7.  Using breeding and quantitative genetics to understand the C4 pathway.

Authors:  Conor J C Simpson; Gregory Reeves; Anoop Tripathi; Pallavi Singh; Julian M Hibberd
Journal:  J Exp Bot       Date:  2022-05-23       Impact factor: 7.298

8.  Identification of Candidate Forage Yield Genes in Sorghum (Sorghum bicolor L.) Using Integrated Genome-Wide Association Studies and RNA-Seq.

Authors:  Lihua Wang; Yanlong Liu; Li Gao; Xiaocui Yang; Xu Zhang; Shaoping Xie; Meng Chen; Yi-Hong Wang; Jieqin Li; Yixin Shen
Journal:  Front Plant Sci       Date:  2022-01-11       Impact factor: 5.753

9.  Genome-Wide Association Studies of Seed Performance Traits in Response to Heat Stress in Medicago truncatula Uncover MIEL1 as a Regulator of Seed Germination Plasticity.

Authors:  Zhijuan Chen; Joseph Ly Vu; Benoit Ly Vu; Julia Buitink; Olivier Leprince; Jerome Verdier
Journal:  Front Plant Sci       Date:  2021-06-04       Impact factor: 5.753

10.  Integrating Genome-Wide Association Analysis With Transcriptome Sequencing to Identify Candidate Genes Related to Blooming Time in Prunus mume.

Authors:  Man Zhang; Qingqing Yang; Xi Yuan; Xiaolan Yan; Jia Wang; Tangren Cheng; Qixiang Zhang
Journal:  Front Plant Sci       Date:  2021-07-15       Impact factor: 5.753

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