Two hundred and fifty-four metagenome-assembled bacterial genomes from the bank vole gut microbiota
Lavrinienko, A., Tukalenko, E., Mousseau, T. A., Thompson, L. R., Knight, R., Mappes, T., & Watts, P. C. (2020). Two hundred and fifty-four metagenome-assembled bacterial genomes from the bank vole gut microbiota. Scientific Data, 7, Article 312. https://doi.org/10.1038/s41597-020-00656-2
Published inScientific Data
© The Author(s) 2020
Vertebrate gut microbiota provide many essential services to their host. To better understand the diversity of such services provided by gut microbiota in wild rodents, we assembled metagenome shotgun sequence data from a small mammal, the bank vole Myodes glareolus (Rodentia, Cricetidae). We were able to identify 254 metagenome assembled genomes (MAGs) that were at least 50% (n = 133 MAGs), 80% (n = 77 MAGs) or 95% (n = 44 MAGs) complete. As typical for a rodent gut microbiota, these MAGs are dominated by taxa assigned to the phyla Bacteroidetes (n = 132 MAGs) and Firmicutes (n = 80), with some Spirochaetes (n = 15) and Proteobacteria (n = 11). Based on coverage over contigs, Bacteroidetes were estimated to be most abundant group, followed by Firmicutes, Spirochaetes and Proteobacteria. These draft bacterial genomes can be used freely to determine the likely functions of gut microbiota community composition in wild rodents.
PublisherNature Publishing Group
ISSN Search the Publication Forum2052-4463
Publication in research information system
MetadataShow full item record
Related funder(s)Academy of Finland
Funding program(s)Academy Project, AoF
Additional information about fundingThis work was made possible by funding from the Academy of Finland (nos 287153, 324602 to PCW) and through a collaboration with the EMP500 (http://www.earthmicrobiome.org/emp500/). We thank the CSC Finland for access to national computing facilities and BGI for provision of sequencing services. In addition to providing free access to scripts for phylogenomics analysis of MAGs, we are grateful to Elaina Graham who kindly provided advice and access to scripts to more efficiently process contigs into MAGs using BINSANITY. ...
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