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OGDA: a comprehensive organelle genome database for algae

Algae are the oldest taxa on Earth, with an evolutionary relationship that spans prokaryotes (Cyanobacteria) and eukaryotes. A long evolutionary history has led to high algal diversity. Their organelle DNAs are characterized by uniparental inheritance and a compact genome structure compared with nuc...

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Autores principales: Liu, Tao, Cui, Yutong, Jia, Xuli, Zhang, Jing, Li, Ruoran, Yu, Yahui, Jia, Shangang, Qu, Jiangyong, Wang, Xumin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698662/
https://www.ncbi.nlm.nih.gov/pubmed/33247934
http://dx.doi.org/10.1093/database/baaa097
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author Liu, Tao
Cui, Yutong
Jia, Xuli
Zhang, Jing
Li, Ruoran
Yu, Yahui
Jia, Shangang
Qu, Jiangyong
Wang, Xumin
author_facet Liu, Tao
Cui, Yutong
Jia, Xuli
Zhang, Jing
Li, Ruoran
Yu, Yahui
Jia, Shangang
Qu, Jiangyong
Wang, Xumin
author_sort Liu, Tao
collection PubMed
description Algae are the oldest taxa on Earth, with an evolutionary relationship that spans prokaryotes (Cyanobacteria) and eukaryotes. A long evolutionary history has led to high algal diversity. Their organelle DNAs are characterized by uniparental inheritance and a compact genome structure compared with nuclear genomes; thus, they are efficient molecular tools for the analysis of gene structure, genome structure, organelle function and evolution. However, an integrated organelle genome database for algae, which could enable users to both examine and use relevant data, has not previously been developed. Therefore, to provide an organelle genome platform for algae, we have developed a user-friendly database named Organelle Genome Database for Algae (OGDA, http://ogda.ytu.edu.cn/). OGDA contains organelle genome data either retrieved from several public databases or sequenced in our laboratory (Laboratory of Genetics and Breeding of Marine Organism [MOGBL]), which are continuously updated. The first release of OGDA contains 1055 plastid genomes and 755 mitochondrial genomes. Additionally, a variety of applications have been integrated into this platform to analyze the structural characteristics, collinearity and phylogeny of organellar genomes for algae. This database represents a useful tool for users, enabling the rapid retrieval and analysis of information related to organellar genomes for biological discovery.
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spelling pubmed-76986622020-12-02 OGDA: a comprehensive organelle genome database for algae Liu, Tao Cui, Yutong Jia, Xuli Zhang, Jing Li, Ruoran Yu, Yahui Jia, Shangang Qu, Jiangyong Wang, Xumin Database (Oxford) Original Article Algae are the oldest taxa on Earth, with an evolutionary relationship that spans prokaryotes (Cyanobacteria) and eukaryotes. A long evolutionary history has led to high algal diversity. Their organelle DNAs are characterized by uniparental inheritance and a compact genome structure compared with nuclear genomes; thus, they are efficient molecular tools for the analysis of gene structure, genome structure, organelle function and evolution. However, an integrated organelle genome database for algae, which could enable users to both examine and use relevant data, has not previously been developed. Therefore, to provide an organelle genome platform for algae, we have developed a user-friendly database named Organelle Genome Database for Algae (OGDA, http://ogda.ytu.edu.cn/). OGDA contains organelle genome data either retrieved from several public databases or sequenced in our laboratory (Laboratory of Genetics and Breeding of Marine Organism [MOGBL]), which are continuously updated. The first release of OGDA contains 1055 plastid genomes and 755 mitochondrial genomes. Additionally, a variety of applications have been integrated into this platform to analyze the structural characteristics, collinearity and phylogeny of organellar genomes for algae. This database represents a useful tool for users, enabling the rapid retrieval and analysis of information related to organellar genomes for biological discovery. Oxford University Press 2020-11-28 /pmc/articles/PMC7698662/ /pubmed/33247934 http://dx.doi.org/10.1093/database/baaa097 Text en © The Author(s) 2020. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Liu, Tao
Cui, Yutong
Jia, Xuli
Zhang, Jing
Li, Ruoran
Yu, Yahui
Jia, Shangang
Qu, Jiangyong
Wang, Xumin
OGDA: a comprehensive organelle genome database for algae
title OGDA: a comprehensive organelle genome database for algae
title_full OGDA: a comprehensive organelle genome database for algae
title_fullStr OGDA: a comprehensive organelle genome database for algae
title_full_unstemmed OGDA: a comprehensive organelle genome database for algae
title_short OGDA: a comprehensive organelle genome database for algae
title_sort ogda: a comprehensive organelle genome database for algae
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698662/
https://www.ncbi.nlm.nih.gov/pubmed/33247934
http://dx.doi.org/10.1093/database/baaa097
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