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Association Analysis in Rice: From Application to Utilization

Association analysis based on linkage disequilibrium (LD) is an efficient way to dissect complex traits and to identify gene functions in rice. Although association analysis is an effective way to construct fine maps for quantitative traits, there are a few issues which need to be addressed. In this...

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Autores principales: Zhang, Peng, Zhong, Kaizhen, Shahid, Muhammad Qasim, Tong, Hanhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987372/
https://www.ncbi.nlm.nih.gov/pubmed/27582745
http://dx.doi.org/10.3389/fpls.2016.01202
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author Zhang, Peng
Zhong, Kaizhen
Shahid, Muhammad Qasim
Tong, Hanhua
author_facet Zhang, Peng
Zhong, Kaizhen
Shahid, Muhammad Qasim
Tong, Hanhua
author_sort Zhang, Peng
collection PubMed
description Association analysis based on linkage disequilibrium (LD) is an efficient way to dissect complex traits and to identify gene functions in rice. Although association analysis is an effective way to construct fine maps for quantitative traits, there are a few issues which need to be addressed. In this review, we will first summarize type, structure, and LD level of populations used for association analysis of rice, and then discuss the genotyping methods and statistical approaches used for association analysis in rice. Moreover, we will review current shortcomings and benefits of association analysis as well as specific types of future research to overcome these shortcomings. Furthermore, we will analyze the reasons for the underutilization of the results within association analysis in rice breeding.
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spelling pubmed-49873722016-08-31 Association Analysis in Rice: From Application to Utilization Zhang, Peng Zhong, Kaizhen Shahid, Muhammad Qasim Tong, Hanhua Front Plant Sci Plant Science Association analysis based on linkage disequilibrium (LD) is an efficient way to dissect complex traits and to identify gene functions in rice. Although association analysis is an effective way to construct fine maps for quantitative traits, there are a few issues which need to be addressed. In this review, we will first summarize type, structure, and LD level of populations used for association analysis of rice, and then discuss the genotyping methods and statistical approaches used for association analysis in rice. Moreover, we will review current shortcomings and benefits of association analysis as well as specific types of future research to overcome these shortcomings. Furthermore, we will analyze the reasons for the underutilization of the results within association analysis in rice breeding. Frontiers Media S.A. 2016-08-17 /pmc/articles/PMC4987372/ /pubmed/27582745 http://dx.doi.org/10.3389/fpls.2016.01202 Text en Copyright © 2016 Zhang, Zhong, Shahid and Tong. 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) or licensor 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
Zhang, Peng
Zhong, Kaizhen
Shahid, Muhammad Qasim
Tong, Hanhua
Association Analysis in Rice: From Application to Utilization
title Association Analysis in Rice: From Application to Utilization
title_full Association Analysis in Rice: From Application to Utilization
title_fullStr Association Analysis in Rice: From Application to Utilization
title_full_unstemmed Association Analysis in Rice: From Application to Utilization
title_short Association Analysis in Rice: From Application to Utilization
title_sort association analysis in rice: from application to utilization
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987372/
https://www.ncbi.nlm.nih.gov/pubmed/27582745
http://dx.doi.org/10.3389/fpls.2016.01202
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