Evidence map›Paper›PMID 35699736›Full record

ArticleApplied microbiology and biotechnology2022

Unique pool of carbohydrate-degrading enzymes in novel bacteria assembled from cow and buffalo rumen metagenomes.

Varsha Bohra, Hitesh Tikariha, Hemant J Purohit, Nishant A Dafale

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Article in Applied microbiology and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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  5. Decarboxylase activity of the non-starter lactic acid bacteriumApplied and environmental microbiology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Varsha BohraHong Kong Baptist University, Kowloon Tong, Kowloon, Hong Kong, SAR.
Hitesh TikarihaNUS Environmental Research Institute, National University of Singapore, Singapore, 117411, Singapore.
Hemant J PurohitCSIR-National Environmental Engineering Research Institute (NEERI), Nagpur, 440020, India.
Nishant A DafaleCSIR-National Environmental Engineering Research Institute (NEERI), Nagpur, 440020, India. na_dafale@neeri.res.in.ORCID http://orcid.org/0000-0002-3814-5534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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: • Genome binning plays a crucial role in revealing the metabolic potential of uncultivable microbes. • Assembled 12 novel genomes from cow and buffalo rumen metagenome datasets. • High frequency of plant biomass deconstructing genes identified in Bacteroidetes MAGs.

Indexed as

MetagenomeRumenAnimalsBacteriaBacteroidetesBuffaloesCarbohydratesCattleFemaleProspective StudiesCarbohydratesBacteroidetesBinningCAZymeFirmicutesGenomeMetagenome-assembled genomes (MAGs)

Identifiers

PMID35699736

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.