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SR4R: An Integrative SNP Resource for Genomic Breeding and Population Research in Rice
The information commons for rice (IC4R) database is a collection of 18 million single nucleotide polymorphisms (SNPs) identified by resequencing of 5152 rice accessions. Although IC4R offers ultra-high density rice variation map, these raw SNPs are not readily usable for the public. To satisfy diffe...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7646087/ https://www.ncbi.nlm.nih.gov/pubmed/32619768 http://dx.doi.org/10.1016/j.gpb.2020.03.002 |
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author | Yan, Jun Zou, Dong Li, Chen Zhang, Zhang Song, Shuhui Wang, Xiangfeng |
author_facet | Yan, Jun Zou, Dong Li, Chen Zhang, Zhang Song, Shuhui Wang, Xiangfeng |
author_sort | Yan, Jun |
collection | PubMed |
description | The information commons for rice (IC4R) database is a collection of 18 million single nucleotide polymorphisms (SNPs) identified by resequencing of 5152 rice accessions. Although IC4R offers ultra-high density rice variation map, these raw SNPs are not readily usable for the public. To satisfy different research utilizations of SNPs for population genetics, evolutionary analysis, association studies, and genomic breeding in rice, raw genotypic data of these 18 million SNPs were processed by unified bioinformatics pipelines. The outcomes were used to develop a daughter database of IC4R – SnpReady for Rice (SR4R). SR4R presents four reference SNP panels, including 2,097,405 hapmapSNPs after data filtration and genotype imputation, 156,502 tagSNPs selected from linkage disequilibrium-based redundancy removal, 1180 fixedSNPs selected from genes exhibiting selective sweep signatures, and 38 barcodeSNPs selected from DNA fingerprinting simulation. SR4R thus offers a highly efficient rice variation map that combines reduced SNP redundancy with extensive data describing the genetic diversity of rice populations. In addition, SR4R provides rice researchers with a web interface that enables them to browse all four SNP panels, use online toolkits, as well as retrieve the original data and scripts for a variety of population genetics analyses on local computers. SR4R is freely available to academic users at http://sr4r.ic4r.org/. |
format | Online Article Text |
id | pubmed-7646087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-76460872020-11-13 SR4R: An Integrative SNP Resource for Genomic Breeding and Population Research in Rice Yan, Jun Zou, Dong Li, Chen Zhang, Zhang Song, Shuhui Wang, Xiangfeng Genomics Proteomics Bioinformatics Database The information commons for rice (IC4R) database is a collection of 18 million single nucleotide polymorphisms (SNPs) identified by resequencing of 5152 rice accessions. Although IC4R offers ultra-high density rice variation map, these raw SNPs are not readily usable for the public. To satisfy different research utilizations of SNPs for population genetics, evolutionary analysis, association studies, and genomic breeding in rice, raw genotypic data of these 18 million SNPs were processed by unified bioinformatics pipelines. The outcomes were used to develop a daughter database of IC4R – SnpReady for Rice (SR4R). SR4R presents four reference SNP panels, including 2,097,405 hapmapSNPs after data filtration and genotype imputation, 156,502 tagSNPs selected from linkage disequilibrium-based redundancy removal, 1180 fixedSNPs selected from genes exhibiting selective sweep signatures, and 38 barcodeSNPs selected from DNA fingerprinting simulation. SR4R thus offers a highly efficient rice variation map that combines reduced SNP redundancy with extensive data describing the genetic diversity of rice populations. In addition, SR4R provides rice researchers with a web interface that enables them to browse all four SNP panels, use online toolkits, as well as retrieve the original data and scripts for a variety of population genetics analyses on local computers. SR4R is freely available to academic users at http://sr4r.ic4r.org/. Elsevier 2020-04 2020-06-30 /pmc/articles/PMC7646087/ /pubmed/32619768 http://dx.doi.org/10.1016/j.gpb.2020.03.002 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Database Yan, Jun Zou, Dong Li, Chen Zhang, Zhang Song, Shuhui Wang, Xiangfeng SR4R: An Integrative SNP Resource for Genomic Breeding and Population Research in Rice |
title | SR4R: An Integrative SNP Resource for Genomic Breeding and Population Research in Rice |
title_full | SR4R: An Integrative SNP Resource for Genomic Breeding and Population Research in Rice |
title_fullStr | SR4R: An Integrative SNP Resource for Genomic Breeding and Population Research in Rice |
title_full_unstemmed | SR4R: An Integrative SNP Resource for Genomic Breeding and Population Research in Rice |
title_short | SR4R: An Integrative SNP Resource for Genomic Breeding and Population Research in Rice |
title_sort | sr4r: an integrative snp resource for genomic breeding and population research in rice |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7646087/ https://www.ncbi.nlm.nih.gov/pubmed/32619768 http://dx.doi.org/10.1016/j.gpb.2020.03.002 |
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