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Novel sequences, structural variations and gene presence variations of Asian cultivated rice
Genomic diversity within a species genome is the genetic basis of its phenotypic diversity essential for its adaptation to environments. The big picture of the total genetic diversity within Asian cultivated rice has been uncovered since the sequencing of 3,000 rice genomes, including the SNP data p...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931083/ https://www.ncbi.nlm.nih.gov/pubmed/29718005 http://dx.doi.org/10.1038/sdata.2018.79 |
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author | Hu, Zhiqiang Wang, Wensheng Wu, Zhichao Sun, Chen Li, Min Lu, Jinyuan Fu, Binying Shi, Jianxin Xu, Jianlong Ruan, Jue Wei, Chaochun Li, Zhikang |
author_facet | Hu, Zhiqiang Wang, Wensheng Wu, Zhichao Sun, Chen Li, Min Lu, Jinyuan Fu, Binying Shi, Jianxin Xu, Jianlong Ruan, Jue Wei, Chaochun Li, Zhikang |
author_sort | Hu, Zhiqiang |
collection | PubMed |
description | Genomic diversity within a species genome is the genetic basis of its phenotypic diversity essential for its adaptation to environments. The big picture of the total genetic diversity within Asian cultivated rice has been uncovered since the sequencing of 3,000 rice genomes, including the SNP data publicly available in the SNP-Seek database. Here we report other aspects of the genetic diversity, including rice sequences assembled from over 3,000 accessions but absent in the Nipponbare reference genome, structural variations (SVs) and gene presence/absence variations (PAVs) in 453 accessions with sequencing depth over 20x. Using either SVs or gene PAVs, we were able to reconstruct the population structure of O. sativa, which was consistent with previous result based on SNPs. Moreover, we demonstrated the usefulness of the new data sets by successfully detecting the strong association of the “Green Revolution gene”, sd1, with plant height. Our data provide a more comprehensive view of the genetic diversity within rice, as well as additional genomic resources for research in rice breeding and plant biology. |
format | Online Article Text |
id | pubmed-5931083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-59310832018-05-10 Novel sequences, structural variations and gene presence variations of Asian cultivated rice Hu, Zhiqiang Wang, Wensheng Wu, Zhichao Sun, Chen Li, Min Lu, Jinyuan Fu, Binying Shi, Jianxin Xu, Jianlong Ruan, Jue Wei, Chaochun Li, Zhikang Sci Data Data Descriptor Genomic diversity within a species genome is the genetic basis of its phenotypic diversity essential for its adaptation to environments. The big picture of the total genetic diversity within Asian cultivated rice has been uncovered since the sequencing of 3,000 rice genomes, including the SNP data publicly available in the SNP-Seek database. Here we report other aspects of the genetic diversity, including rice sequences assembled from over 3,000 accessions but absent in the Nipponbare reference genome, structural variations (SVs) and gene presence/absence variations (PAVs) in 453 accessions with sequencing depth over 20x. Using either SVs or gene PAVs, we were able to reconstruct the population structure of O. sativa, which was consistent with previous result based on SNPs. Moreover, we demonstrated the usefulness of the new data sets by successfully detecting the strong association of the “Green Revolution gene”, sd1, with plant height. Our data provide a more comprehensive view of the genetic diversity within rice, as well as additional genomic resources for research in rice breeding and plant biology. Nature Publishing Group 2018-05-02 /pmc/articles/PMC5931083/ /pubmed/29718005 http://dx.doi.org/10.1038/sdata.2018.79 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Hu, Zhiqiang Wang, Wensheng Wu, Zhichao Sun, Chen Li, Min Lu, Jinyuan Fu, Binying Shi, Jianxin Xu, Jianlong Ruan, Jue Wei, Chaochun Li, Zhikang Novel sequences, structural variations and gene presence variations of Asian cultivated rice |
title | Novel sequences, structural variations and gene presence variations of Asian cultivated rice |
title_full | Novel sequences, structural variations and gene presence variations of Asian cultivated rice |
title_fullStr | Novel sequences, structural variations and gene presence variations of Asian cultivated rice |
title_full_unstemmed | Novel sequences, structural variations and gene presence variations of Asian cultivated rice |
title_short | Novel sequences, structural variations and gene presence variations of Asian cultivated rice |
title_sort | novel sequences, structural variations and gene presence variations of asian cultivated rice |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931083/ https://www.ncbi.nlm.nih.gov/pubmed/29718005 http://dx.doi.org/10.1038/sdata.2018.79 |
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