首页 > 过刊浏览>2022年第41卷第5期 >33-40. DOI:10.13300/j.cnki.hnlkxb.2022.05.005
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全基因组关联分析在茶叶研究中的应用进展
CSTR:
[cstr]
作者:
作者单位:

南京农业大学园艺学院，南京 210095

作者简介:

房婉萍，E-mail：fangwp@njau.edu.cn

通讯作者:

马媛春，E-mail：myc@njau.edu.cn

中图分类号:

S571.103

基金项目:

国家自然科学基金项目（31972460）；国家现代茶叶产业技术体系专项（CARS-19）；江苏省一带一路创新合作项目（BZ2019012）；贵州省科技计划项目（ZK［2021］154）


Application of genome-wide association analysis in studying tea
Author:
Affiliation:

College of Horticulture，Nanjing Agricultural University，Nanjing 210095，China

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    摘要:

    全基因组关联分析（genome-wide association analysis，GWAS）是以高通量测序技术为基础，结合生物信息学和统计学方法，在全基因组水平上鉴定调控复杂性状的基因变异，是研究复杂农艺性状和遗传变异最有力和最有效的研究方法，其核心是研究遗传变异和目标性状之间的关联。GWAS研究检测到的关联位点一般很少，而且关联的位点仅能解释很少一部分性状变异。本文介绍了影响GWAS的主要因素，总结了GWAS在茶叶饮料消费、茶树重要农艺性状、茶叶品质和茶树群体结构研究中取得的一系列进展，提出了茶树GWAS研究中遇到的问题和未来的发展方向。

    Abstract:

    Genome-wide association analysis（GWAS） is based on high-throughput sequencing technology，combined with bioinformatics and statistical methods，to identify genetic variants that regulate complex traits at the genome-wide level.It is the most powerful and effective method to study the genetic variation of complex agronomic traits and diseases，and its core is to study the association between genetic variation and target traits.This review briefly introduces the basic principles，processes and influencing factors of GWAS analysis.A series of progress made by GWAS in studying the tea beverage consumption，important agronomic traits of tea trees，tea quality and the population structure of tea plant were summarized.Finally，the problems encountered and the direction of development in the GWAS research of tea plant were discussed.It will provide a basis for using GWAS in further researches on the selection of tea consumers，the genetics and breeding of tea plant.

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房婉萍,雷小刚,杨彬,王亚,马媛春.全基因组关联分析在茶叶研究中的应用进展[J].华中农业大学学报,2022,41(5):33-40

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  • 收稿日期:2022-01-05
  • 在线发布日期: 2022-10-11
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