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Genome-Wide Association Studies to Improve Wood Properties: Challenges and Prospects
Wood formation is an excellent model system for quantitative trait analysis due to the strong associations between the transcriptional and metabolic traits that contribute to this complex process. Investigating the genetic architecture and regulatory mechanisms underlying wood formation will enhance...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6309013/ https://www.ncbi.nlm.nih.gov/pubmed/30622554 http://dx.doi.org/10.3389/fpls.2018.01912 |
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author | Du, Qingzhang Lu, Wenjie Quan, Mingyang Xiao, Liang Song, Fangyuan Li, Peng Zhou, Daling Xie, Jianbo Wang, Longxin Zhang, Deqiang |
author_facet | Du, Qingzhang Lu, Wenjie Quan, Mingyang Xiao, Liang Song, Fangyuan Li, Peng Zhou, Daling Xie, Jianbo Wang, Longxin Zhang, Deqiang |
author_sort | Du, Qingzhang |
collection | PubMed |
description | Wood formation is an excellent model system for quantitative trait analysis due to the strong associations between the transcriptional and metabolic traits that contribute to this complex process. Investigating the genetic architecture and regulatory mechanisms underlying wood formation will enhance our understanding of the quantitative genetics and genomics of complex phenotypic variation. Genome-wide association studies (GWASs) represent an ideal statistical strategy for dissecting the genetic basis of complex quantitative traits. However, elucidating the molecular mechanisms underlying many favorable loci that contribute to wood formation and optimizing GWAS design remain challenging in this omics era. In this review, we summarize the recent progress in GWAS-based functional genomics of wood property traits in major timber species such as Eucalyptus, Populus, and various coniferous species. We discuss several appropriate experimental designs for extensive GWAS in a given undomesticated tree population, such as omics-wide association studies and high-throughput phenotyping technologies. We also explain why more attention should be paid to rare allelic and major structural variation. Finally, we explore the potential use of GWAS for the molecular breeding of trees. Such studies will help provide an integrated understanding of complex quantitative traits and should enable the molecular design of new cultivars. |
format | Online Article Text |
id | pubmed-6309013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63090132019-01-08 Genome-Wide Association Studies to Improve Wood Properties: Challenges and Prospects Du, Qingzhang Lu, Wenjie Quan, Mingyang Xiao, Liang Song, Fangyuan Li, Peng Zhou, Daling Xie, Jianbo Wang, Longxin Zhang, Deqiang Front Plant Sci Plant Science Wood formation is an excellent model system for quantitative trait analysis due to the strong associations between the transcriptional and metabolic traits that contribute to this complex process. Investigating the genetic architecture and regulatory mechanisms underlying wood formation will enhance our understanding of the quantitative genetics and genomics of complex phenotypic variation. Genome-wide association studies (GWASs) represent an ideal statistical strategy for dissecting the genetic basis of complex quantitative traits. However, elucidating the molecular mechanisms underlying many favorable loci that contribute to wood formation and optimizing GWAS design remain challenging in this omics era. In this review, we summarize the recent progress in GWAS-based functional genomics of wood property traits in major timber species such as Eucalyptus, Populus, and various coniferous species. We discuss several appropriate experimental designs for extensive GWAS in a given undomesticated tree population, such as omics-wide association studies and high-throughput phenotyping technologies. We also explain why more attention should be paid to rare allelic and major structural variation. Finally, we explore the potential use of GWAS for the molecular breeding of trees. Such studies will help provide an integrated understanding of complex quantitative traits and should enable the molecular design of new cultivars. Frontiers Media S.A. 2018-12-21 /pmc/articles/PMC6309013/ /pubmed/30622554 http://dx.doi.org/10.3389/fpls.2018.01912 Text en Copyright © 2018 Du, Lu, Quan, Xiao, Song, Li, Zhou, Xie, Wang and Zhang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Du, Qingzhang Lu, Wenjie Quan, Mingyang Xiao, Liang Song, Fangyuan Li, Peng Zhou, Daling Xie, Jianbo Wang, Longxin Zhang, Deqiang Genome-Wide Association Studies to Improve Wood Properties: Challenges and Prospects |
title | Genome-Wide Association Studies to Improve Wood Properties: Challenges and Prospects |
title_full | Genome-Wide Association Studies to Improve Wood Properties: Challenges and Prospects |
title_fullStr | Genome-Wide Association Studies to Improve Wood Properties: Challenges and Prospects |
title_full_unstemmed | Genome-Wide Association Studies to Improve Wood Properties: Challenges and Prospects |
title_short | Genome-Wide Association Studies to Improve Wood Properties: Challenges and Prospects |
title_sort | genome-wide association studies to improve wood properties: challenges and prospects |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6309013/ https://www.ncbi.nlm.nih.gov/pubmed/30622554 http://dx.doi.org/10.3389/fpls.2018.01912 |
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