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MGnify Genomes: A Resource for Biome-specific Microbial Genome Catalogues

An increasingly common output arising from the analysis of shotgun metagenomic datasets is the generation of metagenome-assembled genomes (MAGs), with tens of thousands of MAGs now described in the literature. However, the discovery and comparison of these MAG collections is hampered by the lack of...

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Autores principales: Gurbich, Tatiana A., Almeida, Alexandre, Beracochea, Martin, Burdett, Tony, Burgin, Josephine, Cochrane, Guy, Raj, Shriya, Richardson, Lorna, Rogers, Alexander B., Sakharova, Ekaterina, Salazar, Gustavo A., Finn, Robert D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318097/
https://www.ncbi.nlm.nih.gov/pubmed/36806692
http://dx.doi.org/10.1016/j.jmb.2023.168016
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author Gurbich, Tatiana A.
Almeida, Alexandre
Beracochea, Martin
Burdett, Tony
Burgin, Josephine
Cochrane, Guy
Raj, Shriya
Richardson, Lorna
Rogers, Alexander B.
Sakharova, Ekaterina
Salazar, Gustavo A.
Finn, Robert D.
author_facet Gurbich, Tatiana A.
Almeida, Alexandre
Beracochea, Martin
Burdett, Tony
Burgin, Josephine
Cochrane, Guy
Raj, Shriya
Richardson, Lorna
Rogers, Alexander B.
Sakharova, Ekaterina
Salazar, Gustavo A.
Finn, Robert D.
author_sort Gurbich, Tatiana A.
collection PubMed
description An increasingly common output arising from the analysis of shotgun metagenomic datasets is the generation of metagenome-assembled genomes (MAGs), with tens of thousands of MAGs now described in the literature. However, the discovery and comparison of these MAG collections is hampered by the lack of uniformity in their generation, annotation and storage. To address this, we have developed MGnify Genomes, a growing collection of biome-specific non-redundant microbial genome catalogues generated using MAGs and publicly available isolate genomes. Genomes within a biome-specific catalogue are organised into species clusters. For species that contain multiple conspecific genomes, the highest quality genome is selected as the representative, always prioritising an isolate genome over a MAG. The species representative sequences and annotations can be visualised on the MGnify website and the full catalogue and associated analysis outputs can be downloaded from MGnify servers. A suite of online search tools is provided allowing users to compare their own sequences, ranging from a gene to sets of genomes, against the catalogues. Seven biomes are available currently, comprising over 300,000 genomes that represent 11,048 non-redundant species, and include 36 taxonomic classes not currently represented by cultured genomes. MGnify Genomes is available at https://www.ebi.ac.uk/metagenomics/browse/genomes/.
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spelling pubmed-103180972023-07-15 MGnify Genomes: A Resource for Biome-specific Microbial Genome Catalogues Gurbich, Tatiana A. Almeida, Alexandre Beracochea, Martin Burdett, Tony Burgin, Josephine Cochrane, Guy Raj, Shriya Richardson, Lorna Rogers, Alexander B. Sakharova, Ekaterina Salazar, Gustavo A. Finn, Robert D. J Mol Biol Database An increasingly common output arising from the analysis of shotgun metagenomic datasets is the generation of metagenome-assembled genomes (MAGs), with tens of thousands of MAGs now described in the literature. However, the discovery and comparison of these MAG collections is hampered by the lack of uniformity in their generation, annotation and storage. To address this, we have developed MGnify Genomes, a growing collection of biome-specific non-redundant microbial genome catalogues generated using MAGs and publicly available isolate genomes. Genomes within a biome-specific catalogue are organised into species clusters. For species that contain multiple conspecific genomes, the highest quality genome is selected as the representative, always prioritising an isolate genome over a MAG. The species representative sequences and annotations can be visualised on the MGnify website and the full catalogue and associated analysis outputs can be downloaded from MGnify servers. A suite of online search tools is provided allowing users to compare their own sequences, ranging from a gene to sets of genomes, against the catalogues. Seven biomes are available currently, comprising over 300,000 genomes that represent 11,048 non-redundant species, and include 36 taxonomic classes not currently represented by cultured genomes. MGnify Genomes is available at https://www.ebi.ac.uk/metagenomics/browse/genomes/. Elsevier 2023-07-15 /pmc/articles/PMC10318097/ /pubmed/36806692 http://dx.doi.org/10.1016/j.jmb.2023.168016 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Database
Gurbich, Tatiana A.
Almeida, Alexandre
Beracochea, Martin
Burdett, Tony
Burgin, Josephine
Cochrane, Guy
Raj, Shriya
Richardson, Lorna
Rogers, Alexander B.
Sakharova, Ekaterina
Salazar, Gustavo A.
Finn, Robert D.
MGnify Genomes: A Resource for Biome-specific Microbial Genome Catalogues
title MGnify Genomes: A Resource for Biome-specific Microbial Genome Catalogues
title_full MGnify Genomes: A Resource for Biome-specific Microbial Genome Catalogues
title_fullStr MGnify Genomes: A Resource for Biome-specific Microbial Genome Catalogues
title_full_unstemmed MGnify Genomes: A Resource for Biome-specific Microbial Genome Catalogues
title_short MGnify Genomes: A Resource for Biome-specific Microbial Genome Catalogues
title_sort mgnify genomes: a resource for biome-specific microbial genome catalogues
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318097/
https://www.ncbi.nlm.nih.gov/pubmed/36806692
http://dx.doi.org/10.1016/j.jmb.2023.168016
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