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GinkgoDB: an ecological genome database for the living fossil, Ginkgo biloba
Although an increasing number of species-specific databases have been constructed to facilitate the global research community, comprehensive databases remain rare with multidimensional research resources rather than genomic data solely, in particular for non-model species. Here we introduced GinkgoD...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235008/ https://www.ncbi.nlm.nih.gov/pubmed/35758513 http://dx.doi.org/10.1093/database/baac046 |
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author | Gu, Kai-Jie Lin, Chen-Feng Wu, Jun-Jie Zhao, Yun-Peng |
author_facet | Gu, Kai-Jie Lin, Chen-Feng Wu, Jun-Jie Zhao, Yun-Peng |
author_sort | Gu, Kai-Jie |
collection | PubMed |
description | Although an increasing number of species-specific databases have been constructed to facilitate the global research community, comprehensive databases remain rare with multidimensional research resources rather than genomic data solely, in particular for non-model species. Here we introduced GinkgoDB, the ecological genome database for the world-renowned living fossil, Ginkgo biloba L., a tree species with extreme longevity, exceptional resistance, global landscape application and dioecy. The present version of GinkgoDB consists of four modules of genome, occurrence, quadrat and gallery. The genome module includes two versions of chromosome-level assembled genomes with high-quality annotation, expression profiles of each sex for different tissues and variants from 545 ginkgo genomes. A suite of tools were also deployed online for search, blast and further analyses. The occurrence module contains distribution information of over one million records across the world with an emphasis on 8926 individual-level tagged trees with phenotypic trait data in eastern Asia. The quadrat module provides monitoring data of both species and habitats from 27 plots of natural ginkgo forests and periodic data of functional traits measured for the entire plant communities. The gallery module collects field morphological photos and scanned phenotypic images of various ginkgo materials. GinkgoDB showcases a comprehensive and persistently growing database for a single non-model species. Database URL: https://ginkgo.zju.edu.cn/ |
format | Online Article Text |
id | pubmed-9235008 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92350082022-06-28 GinkgoDB: an ecological genome database for the living fossil, Ginkgo biloba Gu, Kai-Jie Lin, Chen-Feng Wu, Jun-Jie Zhao, Yun-Peng Database (Oxford) Original Article Although an increasing number of species-specific databases have been constructed to facilitate the global research community, comprehensive databases remain rare with multidimensional research resources rather than genomic data solely, in particular for non-model species. Here we introduced GinkgoDB, the ecological genome database for the world-renowned living fossil, Ginkgo biloba L., a tree species with extreme longevity, exceptional resistance, global landscape application and dioecy. The present version of GinkgoDB consists of four modules of genome, occurrence, quadrat and gallery. The genome module includes two versions of chromosome-level assembled genomes with high-quality annotation, expression profiles of each sex for different tissues and variants from 545 ginkgo genomes. A suite of tools were also deployed online for search, blast and further analyses. The occurrence module contains distribution information of over one million records across the world with an emphasis on 8926 individual-level tagged trees with phenotypic trait data in eastern Asia. The quadrat module provides monitoring data of both species and habitats from 27 plots of natural ginkgo forests and periodic data of functional traits measured for the entire plant communities. The gallery module collects field morphological photos and scanned phenotypic images of various ginkgo materials. GinkgoDB showcases a comprehensive and persistently growing database for a single non-model species. Database URL: https://ginkgo.zju.edu.cn/ Oxford University Press 2022-06-27 /pmc/articles/PMC9235008/ /pubmed/35758513 http://dx.doi.org/10.1093/database/baac046 Text en © The Author(s) 2022. Published by Oxford University Press. 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 | Original Article Gu, Kai-Jie Lin, Chen-Feng Wu, Jun-Jie Zhao, Yun-Peng GinkgoDB: an ecological genome database for the living fossil, Ginkgo biloba |
title | GinkgoDB: an ecological genome database for the living fossil, Ginkgo biloba |
title_full | GinkgoDB: an ecological genome database for the living fossil, Ginkgo biloba |
title_fullStr | GinkgoDB: an ecological genome database for the living fossil, Ginkgo biloba |
title_full_unstemmed | GinkgoDB: an ecological genome database for the living fossil, Ginkgo biloba |
title_short | GinkgoDB: an ecological genome database for the living fossil, Ginkgo biloba |
title_sort | ginkgodb: an ecological genome database for the living fossil, ginkgo biloba |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235008/ https://www.ncbi.nlm.nih.gov/pubmed/35758513 http://dx.doi.org/10.1093/database/baac046 |
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