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Genome-wide association studies: assessing trait characteristics in model and crop plants
GWAS involves testing genetic variants across the genomes of many individuals of a population to identify genotype–phenotype association. It was initially developed and has proven highly successful in human disease genetics. In plants genome-wide association studies (GWAS) initially focused on singl...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316211/ https://www.ncbi.nlm.nih.gov/pubmed/34196733 http://dx.doi.org/10.1007/s00018-021-03868-w |
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author | Alseekh, Saleh Kostova, Dimitrina Bulut, Mustafa Fernie, Alisdair R. |
author_facet | Alseekh, Saleh Kostova, Dimitrina Bulut, Mustafa Fernie, Alisdair R. |
author_sort | Alseekh, Saleh |
collection | PubMed |
description | GWAS involves testing genetic variants across the genomes of many individuals of a population to identify genotype–phenotype association. It was initially developed and has proven highly successful in human disease genetics. In plants genome-wide association studies (GWAS) initially focused on single feature polymorphism and recombination and linkage disequilibrium but has now been embraced by a plethora of different disciplines with several thousand studies being published in model and crop species within the last decade or so. Here we will provide a comprehensive review of these studies providing cases studies on biotic resistance, abiotic tolerance, yield associated traits, and metabolic composition. We also detail current strategies of candidate gene validation as well as the functional study of haplotypes. Furthermore, we provide a critical evaluation of the GWAS strategy and its alternatives as well as future perspectives that are emerging with the emergence of pan-genomic datasets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00018-021-03868-w. |
format | Online Article Text |
id | pubmed-8316211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-83162112021-08-13 Genome-wide association studies: assessing trait characteristics in model and crop plants Alseekh, Saleh Kostova, Dimitrina Bulut, Mustafa Fernie, Alisdair R. Cell Mol Life Sci Review GWAS involves testing genetic variants across the genomes of many individuals of a population to identify genotype–phenotype association. It was initially developed and has proven highly successful in human disease genetics. In plants genome-wide association studies (GWAS) initially focused on single feature polymorphism and recombination and linkage disequilibrium but has now been embraced by a plethora of different disciplines with several thousand studies being published in model and crop species within the last decade or so. Here we will provide a comprehensive review of these studies providing cases studies on biotic resistance, abiotic tolerance, yield associated traits, and metabolic composition. We also detail current strategies of candidate gene validation as well as the functional study of haplotypes. Furthermore, we provide a critical evaluation of the GWAS strategy and its alternatives as well as future perspectives that are emerging with the emergence of pan-genomic datasets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00018-021-03868-w. Springer International Publishing 2021-07-01 2021 /pmc/articles/PMC8316211/ /pubmed/34196733 http://dx.doi.org/10.1007/s00018-021-03868-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Alseekh, Saleh Kostova, Dimitrina Bulut, Mustafa Fernie, Alisdair R. Genome-wide association studies: assessing trait characteristics in model and crop plants |
title | Genome-wide association studies: assessing trait characteristics in model and crop plants |
title_full | Genome-wide association studies: assessing trait characteristics in model and crop plants |
title_fullStr | Genome-wide association studies: assessing trait characteristics in model and crop plants |
title_full_unstemmed | Genome-wide association studies: assessing trait characteristics in model and crop plants |
title_short | Genome-wide association studies: assessing trait characteristics in model and crop plants |
title_sort | genome-wide association studies: assessing trait characteristics in model and crop plants |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316211/ https://www.ncbi.nlm.nih.gov/pubmed/34196733 http://dx.doi.org/10.1007/s00018-021-03868-w |
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