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CottonGVD: A Comprehensive Genomic Variation Database for Cultivated Cottons
Cultivated cottons are the most important economic crop, which produce natural fiber for the textile industry. In recent years, the genetic basis of several essential traits for cultivated cottons has been gradually elucidated by decoding their genomic variations. Although an abundance of resequenci...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724205/ https://www.ncbi.nlm.nih.gov/pubmed/34992626 http://dx.doi.org/10.3389/fpls.2021.803736 |
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author | Peng, Zhen Li, Hongge Sun, Gaofei Dai, Panhong Geng, Xiaoli Wang, Xiao Zhang, Xiaomeng Wang, Zhengzhen Jia, Yinhua Pan, Zhaoe Chen, Baojun Du, Xiongming He, Shoupu |
author_facet | Peng, Zhen Li, Hongge Sun, Gaofei Dai, Panhong Geng, Xiaoli Wang, Xiao Zhang, Xiaomeng Wang, Zhengzhen Jia, Yinhua Pan, Zhaoe Chen, Baojun Du, Xiongming He, Shoupu |
author_sort | Peng, Zhen |
collection | PubMed |
description | Cultivated cottons are the most important economic crop, which produce natural fiber for the textile industry. In recent years, the genetic basis of several essential traits for cultivated cottons has been gradually elucidated by decoding their genomic variations. Although an abundance of resequencing data is available in public, there is still a lack of a comprehensive tool to exhibit the results of genomic variations and genome-wide association study (GWAS). To assist cotton researchers in utilizing these data efficiently and conveniently, we constructed the cotton genomic variation database (CottonGVD; http://120.78.174.209/ or http://db.cngb.org/cottonGVD). This database contains the published genomic information of three cultivated cotton species, the corresponding population variations (SNP and InDel markers), and the visualized results of GWAS for major traits. Various built-in genomic tools help users retrieve, browse, and query the variations conveniently. The database also provides interactive maps (e.g., Manhattan map, scatter plot, heatmap, and linkage disequilibrium block) to exhibit GWAS and expression GWAS results. Cotton researchers could easily focus on phenotype-associated loci visualization, and they are interested in and screen for candidate genes. Moreover, CottonGVD will continue to update by adding more data and functions. |
format | Online Article Text |
id | pubmed-8724205 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87242052022-01-05 CottonGVD: A Comprehensive Genomic Variation Database for Cultivated Cottons Peng, Zhen Li, Hongge Sun, Gaofei Dai, Panhong Geng, Xiaoli Wang, Xiao Zhang, Xiaomeng Wang, Zhengzhen Jia, Yinhua Pan, Zhaoe Chen, Baojun Du, Xiongming He, Shoupu Front Plant Sci Plant Science Cultivated cottons are the most important economic crop, which produce natural fiber for the textile industry. In recent years, the genetic basis of several essential traits for cultivated cottons has been gradually elucidated by decoding their genomic variations. Although an abundance of resequencing data is available in public, there is still a lack of a comprehensive tool to exhibit the results of genomic variations and genome-wide association study (GWAS). To assist cotton researchers in utilizing these data efficiently and conveniently, we constructed the cotton genomic variation database (CottonGVD; http://120.78.174.209/ or http://db.cngb.org/cottonGVD). This database contains the published genomic information of three cultivated cotton species, the corresponding population variations (SNP and InDel markers), and the visualized results of GWAS for major traits. Various built-in genomic tools help users retrieve, browse, and query the variations conveniently. The database also provides interactive maps (e.g., Manhattan map, scatter plot, heatmap, and linkage disequilibrium block) to exhibit GWAS and expression GWAS results. Cotton researchers could easily focus on phenotype-associated loci visualization, and they are interested in and screen for candidate genes. Moreover, CottonGVD will continue to update by adding more data and functions. Frontiers Media S.A. 2021-12-21 /pmc/articles/PMC8724205/ /pubmed/34992626 http://dx.doi.org/10.3389/fpls.2021.803736 Text en Copyright © 2021 Peng, Li, Sun, Dai, Geng, Wang, Zhang, Wang, Jia, Pan, Chen, Du and He. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Peng, Zhen Li, Hongge Sun, Gaofei Dai, Panhong Geng, Xiaoli Wang, Xiao Zhang, Xiaomeng Wang, Zhengzhen Jia, Yinhua Pan, Zhaoe Chen, Baojun Du, Xiongming He, Shoupu CottonGVD: A Comprehensive Genomic Variation Database for Cultivated Cottons |
title | CottonGVD: A Comprehensive Genomic Variation Database for Cultivated Cottons |
title_full | CottonGVD: A Comprehensive Genomic Variation Database for Cultivated Cottons |
title_fullStr | CottonGVD: A Comprehensive Genomic Variation Database for Cultivated Cottons |
title_full_unstemmed | CottonGVD: A Comprehensive Genomic Variation Database for Cultivated Cottons |
title_short | CottonGVD: A Comprehensive Genomic Variation Database for Cultivated Cottons |
title_sort | cottongvd: a comprehensive genomic variation database for cultivated cottons |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724205/ https://www.ncbi.nlm.nih.gov/pubmed/34992626 http://dx.doi.org/10.3389/fpls.2021.803736 |
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