Evidence map›Paper›PMID 38844487›Full record

ArticleScientific reports2024

Exploration of mobile genetic elements in the ruminal microbiome of Nellore cattle.

Camila A Faleiros, Alanne T Nunes, Osiel S Gonçalves, Pâmela A Alexandre, Mirele D Poleti, Elisângela C Mattos, Flavio Perna-Junior, Paulo H Mazza Rodrigues, Heidge Fukumasu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Camila A FaleirosDepartment of Veterinary Medicine, School of Animal Science and Food Engineering (FZEA), University of São Paulo, Pirassununga, SP, 13635-900, Brazil.
Alanne T NunesDepartment of Veterinary Medicine, School of Animal Science and Food Engineering (FZEA), University of São Paulo, Pirassununga, SP, 13635-900, Brazil.
Osiel S GonçalvesDepartment of Microbiology, Institute of Biotechnology Applied to Agriculture (BIOAGRO), Federal University of Viçosa, Viçosa, MG, 36570-000, Brazil.
Pâmela A AlexandreCommonwealth Scientific and Industrial Research Organization (CSIRO), Agriculture and Food, Brisbane, QLD, Australia.
Mirele D PoletiDepartment of Veterinary Medicine, School of Animal Science and Food Engineering (FZEA), University of São Paulo, Pirassununga, SP, 13635-900, Brazil.
Elisângela C MattosDepartment of Veterinary Medicine, School of Animal Science and Food Engineering (FZEA), University of São Paulo, Pirassununga, SP, 13635-900, Brazil.
Flavio Perna-JuniorDepartment of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of São Paulo (FMVZ-USP), Pirassununga, São Paulo, 13635-900, Brazil.
Paulo H Mazza RodriguesDepartment of Animal Nutrition and Production, School of Veterinary Medicine and Animal Science, University of São Paulo (FMVZ-USP), Pirassununga, São Paulo, 13635-900, Brazil.
Heidge FukumasuDepartment of Veterinary Medicine, School of Animal Science and Food Engineering (FZEA), University of São Paulo, Pirassununga, SP, 13635-900, Brazil. fukumasu@usp.br.

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Code 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/05541-9
6 · The paper itself

Abstract

Metagenomics has made it feasible to elucidate the intricacies of the ruminal microbiome and its role in the differentiation of animal production phenotypes of significance. The search for mobile genetic elements (MGEs) has taken on great importance, as they play a critical role in the transfer of genetic material between organisms. Furthermore, these elements serve a dual purpose by controlling populations through lytic bacteriophages, thereby maintaining ecological equilibrium and driving the evolutionary progress of host microorganisms. In this study, we aimed to identify the association between ruminal bacteria and their MGEs in Nellore cattle using physical chromosomal links through the Hi-C method. Shotgun metagenomic sequencing and the proximity ligation method ProxiMeta were used to analyze DNA, getting 1,713,111,307 bp, which gave rise to 107 metagenome-assembled genomes from rumen samples of four Nellore cows maintained on pasture. Taxonomic analysis revealed that most of the bacterial genomes belonged to the families Lachnospiraceae, Bacteroidaceae, Ruminococcaceae, Saccharofermentanaceae, and Treponemataceae and mostly encoded pathways for central carbon and other carbohydrate metabolisms. A total of 31 associations between host bacteria and MGE were identified, including 17 links to viruses and 14 links to plasmids. Additionally, we found 12 antibiotic resistance genes. To our knowledge, this is the first study in Brazilian cattle that connect MGEs with their microbial hosts. It identifies MGEs present in the rumen of pasture-raised Nellore cattle, offering insights that could advance biotechnology for food digestion and improve ruminant performance in production systems.

Indexed as

Interspersed Repetitive SequencesRumenAnimalsBacteriaCattleGastrointestinal MicrobiomeGenome, BacterialMetagenomeMetagenomicsMicrobiotaPhylogeny

Identifiers

PMID38844487
PMCPMC11156634

What OpenQuestion holds

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Registered trials

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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.