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MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca

Mollusca represents the second largest animal phylum but remains poorly explored from a genomic perspective. While the recent increase in genomic resources holds great promise for a deep understanding of molluscan biology and evolution, access and utilization of these resources still pose a challeng...

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Detalles Bibliográficos
Autores principales: Liu, Fuyun, Li, Yuli, Yu, Hongwei, Zhang, Lingling, Hu, Jingjie, Bao, Zhenmin, Wang, Shi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779068/
https://www.ncbi.nlm.nih.gov/pubmed/33219670
http://dx.doi.org/10.1093/nar/gkaa918
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author Liu, Fuyun
Li, Yuli
Yu, Hongwei
Zhang, Lingling
Hu, Jingjie
Bao, Zhenmin
Wang, Shi
author_facet Liu, Fuyun
Li, Yuli
Yu, Hongwei
Zhang, Lingling
Hu, Jingjie
Bao, Zhenmin
Wang, Shi
author_sort Liu, Fuyun
collection PubMed
description Mollusca represents the second largest animal phylum but remains poorly explored from a genomic perspective. While the recent increase in genomic resources holds great promise for a deep understanding of molluscan biology and evolution, access and utilization of these resources still pose a challenge. Here, we present the first comprehensive molluscan genomics database, MolluscDB (http://mgbase.qnlm.ac), which compiles and integrates current molluscan genomic/transcriptomic resources and provides convenient tools for multi-level integrative and comparative genomic analyses. MolluscDB enables a systematic view of genomic information from various aspects, such as genome assembly statistics, genome phylogenies, fossil records, gene information, expression profiles, gene families, transcription factors, transposable elements and mitogenome organization information. Moreover, MolluscDB offers valuable customized datasets or resources, such as gene coexpression networks across various developmental stages and adult tissues/organs, core gene repertoires inferred for major molluscan lineages, and macrosynteny analysis for chromosomal evolution. MolluscDB presents an integrative and comprehensive genomics platform that will allow the molluscan community to cope with ever-growing genomic resources and will expedite new scientific discoveries for understanding molluscan biology and evolution.
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spelling pubmed-77790682021-01-07 MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca Liu, Fuyun Li, Yuli Yu, Hongwei Zhang, Lingling Hu, Jingjie Bao, Zhenmin Wang, Shi Nucleic Acids Res Database Issue Mollusca represents the second largest animal phylum but remains poorly explored from a genomic perspective. While the recent increase in genomic resources holds great promise for a deep understanding of molluscan biology and evolution, access and utilization of these resources still pose a challenge. Here, we present the first comprehensive molluscan genomics database, MolluscDB (http://mgbase.qnlm.ac), which compiles and integrates current molluscan genomic/transcriptomic resources and provides convenient tools for multi-level integrative and comparative genomic analyses. MolluscDB enables a systematic view of genomic information from various aspects, such as genome assembly statistics, genome phylogenies, fossil records, gene information, expression profiles, gene families, transcription factors, transposable elements and mitogenome organization information. Moreover, MolluscDB offers valuable customized datasets or resources, such as gene coexpression networks across various developmental stages and adult tissues/organs, core gene repertoires inferred for major molluscan lineages, and macrosynteny analysis for chromosomal evolution. MolluscDB presents an integrative and comprehensive genomics platform that will allow the molluscan community to cope with ever-growing genomic resources and will expedite new scientific discoveries for understanding molluscan biology and evolution. Oxford University Press 2020-10-22 /pmc/articles/PMC7779068/ /pubmed/33219670 http://dx.doi.org/10.1093/nar/gkaa918 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://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 Database Issue
Liu, Fuyun
Li, Yuli
Yu, Hongwei
Zhang, Lingling
Hu, Jingjie
Bao, Zhenmin
Wang, Shi
MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca
title MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca
title_full MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca
title_fullStr MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca
title_full_unstemmed MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca
title_short MolluscDB: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum Mollusca
title_sort molluscdb: an integrated functional and evolutionary genomics database for the hyper-diverse animal phylum mollusca
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779068/
https://www.ncbi.nlm.nih.gov/pubmed/33219670
http://dx.doi.org/10.1093/nar/gkaa918
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