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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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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. |
format | Online Article Text |
id | pubmed-10639064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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