Evidence map›Paper›PMID 34376642›Full record

ArticleHorticulture research2021

Genome-level diversification of eight ancient tea populations in the Guizhou and Yunnan regions identifies candidate genes for core agronomic traits.

Litang Lu, Hufang Chen, Xiaojing Wang, Yichen Zhao, Xinzhuan Yao, Biao Xiong, Yanli Deng, Degang Zhao

Abstract read
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Article in Horticulture research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

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28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

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  12. Horticulture research · 2024
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  14. Overexpression ofPlant direct · 2024
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Litang Lu *College of Tea Science, Guizhou University, Guiyang, 550025, People's Republic of China.
Hufang Chen *College of Tea Science, Guizhou University, Guiyang, 550025, People's Republic of China.
Xiaojing Wang *College of Tea Science, Guizhou University, Guiyang, 550025, People's Republic of China.
Yichen ZhaoCollege of Tea Science, Guizhou University, Guiyang, 550025, People's Republic of China.
Xinzhuan YaoCollege of Tea Science, Guizhou University, Guiyang, 550025, People's Republic of China.
Biao XiongCollege of Tea Science, Guizhou University, Guiyang, 550025, People's Republic of China.
Yanli DengCollege of Tea Science, Guizhou University, Guiyang, 550025, People's Republic of China.
Degang ZhaoCollege of Life Sciences and The Key Laboratory of Plant Resources Conservation and Germplasm Innovation in the Mountainous Region (Ministry of Education), Institute of Agro-Bioengineering, Guizhou University, Guiyang, 550025, People's Republic of China. dgzhao@gzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID34376642
PMCPMC8355299

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.