Genome-level diversification of eight ancient tea populations in the Guizhou and Yunnan regions identifies candidate genes for core agronomic traits
The ancient tea plant, as a precious natural resource and source of tea plant genetic diversity, is of great value for studying the evolutionary mechanism, diversification, and domestication of plants. The overall genetic diversity among ancient tea plants and the genetic changes that occurred durin...
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creator | Lu, Litang Chen, Hufang Wang, Xiaojing Zhao, Yichen Yao, Xinzhuan Xiong, Biao Deng, Yanli Zhao, Degang |
description | The ancient tea plant, as a precious natural resource and source of tea plant genetic diversity, is of great value for studying the evolutionary mechanism, diversification, and domestication of plants. The overall genetic diversity among ancient tea plants and the genetic changes that occurred during natural selection remain poorly understood. Here, we report the genome resequencing of eight different groups consisting of 120 ancient tea plants: six groups from Guizhou Province and two groups from Yunnan Province. Based on the 8,082,370 identified high-quality SNPs, we constructed phylogenetic relationships, assessed population structure, and performed genome-wide association studies (GWAS). Our phylogenetic analysis showed that the 120 ancient tea plants were mainly clustered into three groups and five single branches, which is consistent with the results of principal component analysis (PCA). Ancient tea plants were further divided into seven subpopulations based on genetic structure analysis. Moreover, it was found that the variation in ancient tea plants was not reduced by pressure from the external natural environment or artificial breeding (nonsynonymous/synonymous = 1.05). By integrating GWAS, selection signals, and gene function prediction, four candidate genes were significantly associated with three leaf traits, and two candidate genes were significantly associated with plant type. These candidate genes can be used for further functional characterization and genetic improvement of tea plants. |
doi_str_mv | 10.1038/s41438-021-00617-9 |
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The overall genetic diversity among ancient tea plants and the genetic changes that occurred during natural selection remain poorly understood. Here, we report the genome resequencing of eight different groups consisting of 120 ancient tea plants: six groups from Guizhou Province and two groups from Yunnan Province. Based on the 8,082,370 identified high-quality SNPs, we constructed phylogenetic relationships, assessed population structure, and performed genome-wide association studies (GWAS). Our phylogenetic analysis showed that the 120 ancient tea plants were mainly clustered into three groups and five single branches, which is consistent with the results of principal component analysis (PCA). Ancient tea plants were further divided into seven subpopulations based on genetic structure analysis. Moreover, it was found that the variation in ancient tea plants was not reduced by pressure from the external natural environment or artificial breeding (nonsynonymous/synonymous = 1.05). By integrating GWAS, selection signals, and gene function prediction, four candidate genes were significantly associated with three leaf traits, and two candidate genes were significantly associated with plant type. These candidate genes can be used for further functional characterization and genetic improvement of tea plants.</description><identifier>ISSN: 2662-6810</identifier><identifier>EISSN: 2052-7276</identifier><identifier>DOI: 10.1038/s41438-021-00617-9</identifier><identifier>PMID: 34376642</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/208/726 ; 631/449/2491 ; Agriculture ; Biomedical and Life Sciences ; Domestication ; Ecology ; Evolution ; External pressure ; Genes ; Genetic analysis ; Genetic diversity ; Genetic improvement ; Genetic structure ; Genome-wide association studies ; Genomes ; Life Sciences ; Natural environment ; Natural resources ; Natural selection ; Phylogenetics ; Phylogeny ; Plant Breeding/Biotechnology ; Plant diversity ; Plant Genetics and Genomics ; Plant Sciences ; Population structure ; Principal components analysis ; Single-nucleotide polymorphism ; Structural analysis ; Subpopulations ; Tea</subject><ispartof>Horticulture research, 2021-08, Vol.8 (1), Article 190</ispartof><rights>The Author(s) 2021</rights><rights>The Author(s) 2021. 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By integrating GWAS, selection signals, and gene function prediction, four candidate genes were significantly associated with three leaf traits, and two candidate genes were significantly associated with plant type. These candidate genes can be used for further functional characterization and genetic improvement of tea plants.</description><subject>631/208/726</subject><subject>631/449/2491</subject><subject>Agriculture</subject><subject>Biomedical and Life Sciences</subject><subject>Domestication</subject><subject>Ecology</subject><subject>Evolution</subject><subject>External pressure</subject><subject>Genes</subject><subject>Genetic analysis</subject><subject>Genetic diversity</subject><subject>Genetic improvement</subject><subject>Genetic structure</subject><subject>Genome-wide association studies</subject><subject>Genomes</subject><subject>Life Sciences</subject><subject>Natural environment</subject><subject>Natural resources</subject><subject>Natural selection</subject><subject>Phylogenetics</subject><subject>Phylogeny</subject><subject>Plant Breeding/Biotechnology</subject><subject>Plant diversity</subject><subject>Plant Genetics and Genomics</subject><subject>Plant Sciences</subject><subject>Population structure</subject><subject>Principal components analysis</subject><subject>Single-nucleotide polymorphism</subject><subject>Structural analysis</subject><subject>Subpopulations</subject><subject>Tea</subject><issn>2662-6810</issn><issn>2052-7276</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kc2KFDEUhQtRnGGcF3AVcB3NT-WnNoIM2goDbnThKqRSN9UZqpM2STXoc8wDm54aFDezSsL5zrk3nK57TclbSrh-V3rac40Jo5gQSRUennWXjAiGFVPyebtLybDUlFx016XcEUKo6BkX6mV3wXuupOzZZXe_g5gOgBc4wYKmcIJcgg_O1pAiSh5BmPcV2egCxIoqWHRMx3V50AsKEdU9oN0afu_T2rAJ_VhjtBFlmDdiar6WCAW5JofJVkAzxPb2KSOXMiA759S2CA7VbEMtr7oX3i4Frh_Pq-77p4_fbj7j26-7LzcfbrHrNa94mIbBQfun8qMC1wsySpjkpAV4rqX1TAmlhNCSKd5rT92oRiGACs6IdRO_6t5vucd1PMDk2qbZLuaYw8HmXybZYP5XYtibOZ2M5kKwYWgBbx4Dcvq5QqnmLq05tp0NE6IBmokzxTbK5VRKBv93AiXmXKbZyjStTPNQpjmb-GYqDY4z5H_RT7j-AM8cpLA</recordid><startdate>20210810</startdate><enddate>20210810</enddate><creator>Lu, Litang</creator><creator>Chen, Hufang</creator><creator>Wang, Xiaojing</creator><creator>Zhao, Yichen</creator><creator>Yao, Xinzhuan</creator><creator>Xiong, Biao</creator><creator>Deng, Yanli</creator><creator>Zhao, Degang</creator><general>Nature Publishing Group UK</general><general>Oxford University Press</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>5PM</scope></search><sort><creationdate>20210810</creationdate><title>Genome-level diversification of eight ancient tea populations in the Guizhou and Yunnan regions identifies candidate genes for core agronomic traits</title><author>Lu, Litang ; 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The overall genetic diversity among ancient tea plants and the genetic changes that occurred during natural selection remain poorly understood. Here, we report the genome resequencing of eight different groups consisting of 120 ancient tea plants: six groups from Guizhou Province and two groups from Yunnan Province. Based on the 8,082,370 identified high-quality SNPs, we constructed phylogenetic relationships, assessed population structure, and performed genome-wide association studies (GWAS). Our phylogenetic analysis showed that the 120 ancient tea plants were mainly clustered into three groups and five single branches, which is consistent with the results of principal component analysis (PCA). Ancient tea plants were further divided into seven subpopulations based on genetic structure analysis. Moreover, it was found that the variation in ancient tea plants was not reduced by pressure from the external natural environment or artificial breeding (nonsynonymous/synonymous = 1.05). By integrating GWAS, selection signals, and gene function prediction, four candidate genes were significantly associated with three leaf traits, and two candidate genes were significantly associated with plant type. These candidate genes can be used for further functional characterization and genetic improvement of tea plants.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>34376642</pmid><doi>10.1038/s41438-021-00617-9</doi><oa>free_for_read</oa></addata></record> |
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subjects | 631/208/726 631/449/2491 Agriculture Biomedical and Life Sciences Domestication Ecology Evolution External pressure Genes Genetic analysis Genetic diversity Genetic improvement Genetic structure Genome-wide association studies Genomes Life Sciences Natural environment Natural resources Natural selection Phylogenetics Phylogeny Plant Breeding/Biotechnology Plant diversity Plant Genetics and Genomics Plant Sciences Population structure Principal components analysis Single-nucleotide polymorphism Structural analysis Subpopulations Tea |
title | Genome-level diversification of eight ancient tea populations in the Guizhou and Yunnan regions identifies candidate genes for core agronomic traits |
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