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SpinachDB: A Well-Characterized Genomic Database for Gene Family Classification and SNP Information of Spinach
Spinach (Spinacia oleracea L.), which originated in central and western Asia, belongs to the family Amaranthaceae. Spinach is one of most important leafy vegetables with a high nutritional value as well as being a perfect research material for plant sex chromosome models. As the completion of genome...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858205/ https://www.ncbi.nlm.nih.gov/pubmed/27148975 http://dx.doi.org/10.1371/journal.pone.0152706 |
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author | Yang, Xue-Dong Tan, Hua-Wei Zhu, Wei-Min |
author_facet | Yang, Xue-Dong Tan, Hua-Wei Zhu, Wei-Min |
author_sort | Yang, Xue-Dong |
collection | PubMed |
description | Spinach (Spinacia oleracea L.), which originated in central and western Asia, belongs to the family Amaranthaceae. Spinach is one of most important leafy vegetables with a high nutritional value as well as being a perfect research material for plant sex chromosome models. As the completion of genome assembly and gene prediction of spinach, we developed SpinachDB (http://222.73.98.124/spinachdb) to store, annotate, mine and analyze genomics and genetics datasets efficiently. In this study, all of 21702 spinach genes were annotated. A total of 15741 spinach genes were catalogued into 4351 families, including identification of a substantial number of transcription factors. To construct a high-density genetic map, a total of 131592 SSRs and 1125743 potential SNPs located in 548801 loci of spinach genome were identified in 11 cultivated and wild spinach cultivars. The expression profiles were also performed with RNA-seq data using the FPKM method, which could be used to compare the genes. Paralogs in spinach and the orthologous genes in Arabidopsis, grape, sugar beet and rice were identified for comparative genome analysis. Finally, the SpinachDB website contains seven main sections, including the homepage; the GBrowse map that integrates genome, genes, SSR and SNP marker information; the Blast alignment service; the gene family classification search tool; the orthologous and paralogous gene pairs search tool; and the download and useful contact information. SpinachDB will be continually expanded to include newly generated robust genomics and genetics data sets along with the associated data mining and analysis tools. |
format | Online Article Text |
id | pubmed-4858205 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48582052016-05-13 SpinachDB: A Well-Characterized Genomic Database for Gene Family Classification and SNP Information of Spinach Yang, Xue-Dong Tan, Hua-Wei Zhu, Wei-Min PLoS One Research Article Spinach (Spinacia oleracea L.), which originated in central and western Asia, belongs to the family Amaranthaceae. Spinach is one of most important leafy vegetables with a high nutritional value as well as being a perfect research material for plant sex chromosome models. As the completion of genome assembly and gene prediction of spinach, we developed SpinachDB (http://222.73.98.124/spinachdb) to store, annotate, mine and analyze genomics and genetics datasets efficiently. In this study, all of 21702 spinach genes were annotated. A total of 15741 spinach genes were catalogued into 4351 families, including identification of a substantial number of transcription factors. To construct a high-density genetic map, a total of 131592 SSRs and 1125743 potential SNPs located in 548801 loci of spinach genome were identified in 11 cultivated and wild spinach cultivars. The expression profiles were also performed with RNA-seq data using the FPKM method, which could be used to compare the genes. Paralogs in spinach and the orthologous genes in Arabidopsis, grape, sugar beet and rice were identified for comparative genome analysis. Finally, the SpinachDB website contains seven main sections, including the homepage; the GBrowse map that integrates genome, genes, SSR and SNP marker information; the Blast alignment service; the gene family classification search tool; the orthologous and paralogous gene pairs search tool; and the download and useful contact information. SpinachDB will be continually expanded to include newly generated robust genomics and genetics data sets along with the associated data mining and analysis tools. Public Library of Science 2016-05-05 /pmc/articles/PMC4858205/ /pubmed/27148975 http://dx.doi.org/10.1371/journal.pone.0152706 Text en © 2016 Yang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Yang, Xue-Dong Tan, Hua-Wei Zhu, Wei-Min SpinachDB: A Well-Characterized Genomic Database for Gene Family Classification and SNP Information of Spinach |
title | SpinachDB: A Well-Characterized Genomic Database for Gene Family Classification and SNP Information of Spinach |
title_full | SpinachDB: A Well-Characterized Genomic Database for Gene Family Classification and SNP Information of Spinach |
title_fullStr | SpinachDB: A Well-Characterized Genomic Database for Gene Family Classification and SNP Information of Spinach |
title_full_unstemmed | SpinachDB: A Well-Characterized Genomic Database for Gene Family Classification and SNP Information of Spinach |
title_short | SpinachDB: A Well-Characterized Genomic Database for Gene Family Classification and SNP Information of Spinach |
title_sort | spinachdb: a well-characterized genomic database for gene family classification and snp information of spinach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858205/ https://www.ncbi.nlm.nih.gov/pubmed/27148975 http://dx.doi.org/10.1371/journal.pone.0152706 |
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