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A rice variation map derived from 10 548 rice accessions reveals the importance of rare variants

Detailed knowledge of the genetic variations in diverse crop populations forms the basis for genetic crop improvement and gene functional studies. In the present study, we analyzed a large rice population with a total of 10 548 accessions to construct a rice super-population variation map (RSPVM), c...

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Autores principales: Wang, Tianyi, He, Wenchuang, Li, Xiaoxia, Zhang, Chao, He, Huiying, Yuan, Qiaoling, Zhang, Bin, Zhang, Hong, Leng, Yue, Wei, Hua, Xu, Qiang, Shi, Chuanlin, Liu, Xiangpei, Guo, Mingliang, Wang, Xianmeng, Chen, Wu, Zhang, Zhipeng, Yang, Longbo, Lv, Yang, Qian, Hongge, Zhang, Bintao, Yu, Xiaoman, Liu, Congcong, Cao, Xinglan, Cui, Yan, Zhang, Qianqian, Dai, Xiaofan, Guo, Longbiao, Wang, Yuexing, Zhou, Yongfeng, Ruan, Jue, Qian, Qian, Shang, Lianguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10639064/
https://www.ncbi.nlm.nih.gov/pubmed/37843097
http://dx.doi.org/10.1093/nar/gkad840
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author Wang, Tianyi
He, Wenchuang
Li, Xiaoxia
Zhang, Chao
He, Huiying
Yuan, Qiaoling
Zhang, Bin
Zhang, Hong
Leng, Yue
Wei, Hua
Xu, Qiang
Shi, Chuanlin
Liu, Xiangpei
Guo, Mingliang
Wang, Xianmeng
Chen, Wu
Zhang, Zhipeng
Yang, Longbo
Lv, Yang
Qian, Hongge
Zhang, Bintao
Yu, Xiaoman
Liu, Congcong
Cao, Xinglan
Cui, Yan
Zhang, Qianqian
Dai, Xiaofan
Guo, Longbiao
Wang, Yuexing
Zhou, Yongfeng
Ruan, Jue
Qian, Qian
Shang, Lianguang
author_facet Wang, Tianyi
He, Wenchuang
Li, Xiaoxia
Zhang, Chao
He, Huiying
Yuan, Qiaoling
Zhang, Bin
Zhang, Hong
Leng, Yue
Wei, Hua
Xu, Qiang
Shi, Chuanlin
Liu, Xiangpei
Guo, Mingliang
Wang, Xianmeng
Chen, Wu
Zhang, Zhipeng
Yang, Longbo
Lv, Yang
Qian, Hongge
Zhang, Bintao
Yu, Xiaoman
Liu, Congcong
Cao, Xinglan
Cui, Yan
Zhang, Qianqian
Dai, Xiaofan
Guo, Longbiao
Wang, Yuexing
Zhou, Yongfeng
Ruan, Jue
Qian, Qian
Shang, Lianguang
author_sort Wang, Tianyi
collection PubMed
description Detailed knowledge of the genetic variations in diverse crop populations forms the basis for genetic crop improvement and gene functional studies. In the present study, we analyzed a large rice population with a total of 10 548 accessions to construct a rice super-population variation map (RSPVM), consisting of 54 378 986 single nucleotide polymorphisms, 11 119 947 insertion/deletion mutations and 184 736 presence/absence variations. Assessment of variation detection efficiency for different population sizes revealed a sharp increase of all types of variation as the population size increased and a gradual saturation of that after the population size reached 10 000. Variant frequency analysis indicated that ∼90% of the obtained variants were rare, and would therefore likely be difficult to detect in a relatively small population. Among the rare variants, only 2.7% were predicted to be deleterious. Population structure, genetic diversity and gene functional polymorphism of this large population were evaluated based on different subsets of RSPVM, demonstrating the great potential of RSPVM for use in downstream applications. Our study provides both a rich genetic basis for understanding natural rice variations and a powerful tool for exploiting great potential of rare variants in future rice research, including population genetics and functional genomics.
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spelling pubmed-106390642023-11-15 A rice variation map derived from 10 548 rice accessions reveals the importance of rare variants Wang, Tianyi He, Wenchuang Li, Xiaoxia Zhang, Chao He, Huiying Yuan, Qiaoling Zhang, Bin Zhang, Hong Leng, Yue Wei, Hua Xu, Qiang Shi, Chuanlin Liu, Xiangpei Guo, Mingliang Wang, Xianmeng Chen, Wu Zhang, Zhipeng Yang, Longbo Lv, Yang Qian, Hongge Zhang, Bintao Yu, Xiaoman Liu, Congcong Cao, Xinglan Cui, Yan Zhang, Qianqian Dai, Xiaofan Guo, Longbiao Wang, Yuexing Zhou, Yongfeng Ruan, Jue Qian, Qian Shang, Lianguang Nucleic Acids Res Data Resources and Analyses Detailed knowledge of the genetic variations in diverse crop populations forms the basis for genetic crop improvement and gene functional studies. In the present study, we analyzed a large rice population with a total of 10 548 accessions to construct a rice super-population variation map (RSPVM), consisting of 54 378 986 single nucleotide polymorphisms, 11 119 947 insertion/deletion mutations and 184 736 presence/absence variations. Assessment of variation detection efficiency for different population sizes revealed a sharp increase of all types of variation as the population size increased and a gradual saturation of that after the population size reached 10 000. Variant frequency analysis indicated that ∼90% of the obtained variants were rare, and would therefore likely be difficult to detect in a relatively small population. Among the rare variants, only 2.7% were predicted to be deleterious. Population structure, genetic diversity and gene functional polymorphism of this large population were evaluated based on different subsets of RSPVM, demonstrating the great potential of RSPVM for use in downstream applications. Our study provides both a rich genetic basis for understanding natural rice variations and a powerful tool for exploiting great potential of rare variants in future rice research, including population genetics and functional genomics. Oxford University Press 2023-10-16 /pmc/articles/PMC10639064/ /pubmed/37843097 http://dx.doi.org/10.1093/nar/gkad840 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Data Resources and Analyses
Wang, Tianyi
He, Wenchuang
Li, Xiaoxia
Zhang, Chao
He, Huiying
Yuan, Qiaoling
Zhang, Bin
Zhang, Hong
Leng, Yue
Wei, Hua
Xu, Qiang
Shi, Chuanlin
Liu, Xiangpei
Guo, Mingliang
Wang, Xianmeng
Chen, Wu
Zhang, Zhipeng
Yang, Longbo
Lv, Yang
Qian, Hongge
Zhang, Bintao
Yu, Xiaoman
Liu, Congcong
Cao, Xinglan
Cui, Yan
Zhang, Qianqian
Dai, Xiaofan
Guo, Longbiao
Wang, Yuexing
Zhou, Yongfeng
Ruan, Jue
Qian, Qian
Shang, Lianguang
A rice variation map derived from 10 548 rice accessions reveals the importance of rare variants
title A rice variation map derived from 10 548 rice accessions reveals the importance of rare variants
title_full A rice variation map derived from 10 548 rice accessions reveals the importance of rare variants
title_fullStr A rice variation map derived from 10 548 rice accessions reveals the importance of rare variants
title_full_unstemmed A rice variation map derived from 10 548 rice accessions reveals the importance of rare variants
title_short A rice variation map derived from 10 548 rice accessions reveals the importance of rare variants
title_sort rice variation map derived from 10 548 rice accessions reveals the importance of rare variants
topic Data Resources and Analyses
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10639064/
https://www.ncbi.nlm.nih.gov/pubmed/37843097
http://dx.doi.org/10.1093/nar/gkad840
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