Evidence map›Paper›PMID 39695297›Full record

ArticleScientific data2024

Recovery of metagenome-assembled genomes from the rumen and fecal microbiomes of Bos indicus beef cattle.

Liliane Costa Conteville, Juliana Virginio da Silva, Bruno Gabriel Nascimento Andrade, Luiz Lehmann Coutinho, Julio Cesar Pascale Palhares, Luciana Correia de Almeida Regitano

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

8 citing papers in PubMed.

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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

6 authors.

Liliane Costa ContevilleEmbrapa Southeast Livestock, São Carlos, Brazil. lilianeconteville@gmail.com.
Juliana Virginio da SilvaEmbrapa Southeast Livestock, São Carlos, Brazil.
Bruno Gabriel Nascimento AndradeComputer Science Department, Munster Technological University, Cork, Ireland.
Luiz Lehmann CoutinhoCenter for Functional Genomics, Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, Brazil.ORCID 0000-0002-7266-8881
Julio Cesar Pascale PalharesEmbrapa Southeast Livestock, São Carlos, Brazil.
Luciana Correia de Almeida RegitanoEmbrapa Southeast Livestock, São Carlos, Brazil. luciana.regitano@embrapa.br.ORCID 0000-0001-9242-8351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nelore is a Bos indicus beef breed that is well-adapted to tropical environments and constitutes most of the world's largest commercial cattle herd: the Brazilian bovine herd. Despite its significance, microbial genome recovery from ruminant microbiomes has largely excluded representatives from Brazilian Nelore cattle. To address this gap, this study presents a comprehensive dataset of microbial genomes recovered from the rumen and feces of 52 Brazilian Nelore bulls. A total of 1,526 non-redundant metagenome-assembled genomes (MAGs) were recovered from their gastrointestinal tract, with 497 ruminal and 486 fecal classified as high-quality. Phylogenetic analysis revealed that the bacterial MAGs fall into 12 phyla, with Firmicutes and Bacteroidota being the most predominant, while all archaeal MAGs belong to the genus Methanobrevibacter. The exploration of these microbial genomes will provide valuable insights into the metabolic potential and functional roles of individual microorganisms within host-microbiome interactions, contributing to a better understanding of the microbiome's roles in bovine performance.

Indexed as

FecesMetagenomePhylogenyRumenAnimalsArchaeaBacteriaBrazilCattleGastrointestinal MicrobiomeMaleMicrobiota

Identifiers

PMID39695297
PMCPMC11655971

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.