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SUPERSEDED - Hi-C genomes from "Assembly of hundreds of microbial genomes from the cow rumen reveals novel microbial species encoding enzymes with roles in carbohydrate metabolism"

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dc.contributor BBSRC - Biotechnology and Biological Sciences Research Council
dc.contributor Watson, Mick
dc.creator Watson, Mick
dc.date 2017-09-29T10:58:36Z
dc.date 2017-09-29T10:58:36Z
dc.date.accessioned 2023-02-17T20:54:09Z
dc.date.available 2023-02-17T20:54:09Z
dc.identifier Watson, Mick. (2017). Hi-C genomes from "Assembly of hundreds of microbial genomes from the cow rumen reveals novel microbial species encoding enzymes with roles in carbohydrate metabolism", [dataset]. The Roslin Institute. https://doi.org/10.7488/ds/2222.
dc.identifier https://hdl.handle.net/10283/2911
dc.identifier https://doi.org/10.7488/ds/2222
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/244190
dc.description ## This item has been replaced by the one which can be found at https://doi.org/10.7488/ds/2296. ## The cow rumen is a specialised organ adapted for the efficient breakdown of plant material into energy and nutrients, and it is largely the rumen microbiome that encodes the enzymes responsible. Many of these enzymes are of significant industrial interest. Despite this, rumen microbes are under-represented in public databases. Here we present 283 draft bacterial and archaeal genomes assembled directly from over 800 gigabases of rumen metagenomic sequence data and 43 samples, using both metagenomic binning and Hi-C-based Proximity-Guided Assembly. Comparative analysis with current publicly available genomes reveals that the majority of these represent previously unsequenced strains and species of bacteria and archaea. The genomes contain over 16,000 proteins predicted to be involved in carbohydrate metabolism, over 90% of which do not have a good match in public databases. Inclusion of the 283 genomes presented here improves metagenomic read classification by 2-3-fold, both in our data and in other publicly available rumen datasets. This release improves the coverage of rumen microbes in the public databases, and represents a highly valuable resource for biomass-degrading enzyme discovery and studies of the rumen microbiome.
dc.format application/zip
dc.format application/zip
dc.language eng
dc.publisher The Roslin Institute
dc.relation https://www.biorxiv.org/content/early/2017/07/13/162578
dc.relation https://doi.org/10.7488/ds/2099
dc.relation https://doi.org/10.7488/ds/2296
dc.rights Creative Commons Attribution 4.0 International Public License
dc.subject rumen
dc.subject metagenomics
dc.subject microbes
dc.subject bacteria
dc.subject archaea
dc.subject Veterinary Sciences Agriculture and related subjects
dc.title SUPERSEDED - Hi-C genomes from "Assembly of hundreds of microbial genomes from the cow rumen reveals novel microbial species encoding enzymes with roles in carbohydrate metabolism"
dc.type dataset
dc.coverage UK
dc.coverage UNITED KINGDOM


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