Unique pool of carbohydrate-degrading enzymes in novel bacteria assembled from cow and buffalo rumen metagenomes
Reconstruction of genomes from environmental metagenomes offers an excellent prospect for studying the metabolic potential of organisms resilient to isolation in laboratory conditions. Here, we assembled 12 high-quality metagenome-assembled genomes (MAGs) with an estimated completion of ≥ 90% from c...
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Published in | Applied microbiology and biotechnology Vol. 106; no. 12; pp. 4643 - 4654 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.06.2022
Springer Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | Reconstruction of genomes from environmental metagenomes offers an excellent prospect for studying the metabolic potential of organisms resilient to isolation in laboratory conditions. Here, we assembled 12 high-quality metagenome-assembled genomes (MAGs) with an estimated completion of ≥ 90% from cow and buffalo rumen metagenomes. Average nucleotide identity (ANI) score-based screening with an existing database suggests the novelty of these genomes. Gene prediction led to the identification of 30,359 protein-encoding genes (PEGs) across 12 genomes, of which only 44.8% were annotated against a specific functional attribute. Further analysis revealed the presence of 985 carbohydrate-active enzymes (CAZymes) from more than 50 glycoside hydrolase families, of which 90% do not have a proper match in the CAZy database. Genome mining revealed the presence of a high frequency of plant biomass deconstructing genes in
Bacteroidetes
MAGs compared to
Firmicutes
. The results strongly indicate that the rumen chamber harbors high numbers of deeply branched and as-yet uncultured microbes that encode novel CAZymes, candidates for prospective usage in plant biomass-hydrolyzing and biofuels industries.
Key points
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Genome binning plays a crucial role in revealing the metabolic potential of uncultivable microbes
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Assembled 12 novel genomes from cow and buffalo rumen metagenome datasets
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High frequency of plant biomass deconstructing genes identified in Bacteroidetes MAGs
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0175-7598 1432-0614 |
DOI: | 10.1007/s00253-022-12020-y |