Evidence map›Paper›PMID 34551823›Full record

ArticleAnimal microbiome2021

Characterisation of the rumen resistome in Spanish dairy cattle.

Adrián López-Catalina, Raquel Atxaerandio, Aser García-Rodríguez, Idoia Goiri, Mónica Gutierrez-Rivas, José Antonio Jiménez-Montero, Oscar González-Recio

Open access · goldAbstract read
In one paragraph

Article in Animal microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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  6. Metagenomic approach to infer rumen microbiome derived traits of cattle.World journal of microbiology & biotechnology · 2023
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  8. Review
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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

7 authors at 2 institutions in 1 country.

Adrián López-CatalinaDepartamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC), Crta. de la Coruña km 7.5, 28040, Madrid, Spain.
Raquel AtxaerandioDepartment of Animal Production, Neiker-Basque Institute for Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), Campus Agroalimentario de Arkaute, 01192, Arkaute, Spain.
Aser García-RodríguezDepartment of Animal Production, Neiker-Basque Institute for Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), Campus Agroalimentario de Arkaute, 01192, Arkaute, Spain.
Idoia GoiriDepartment of Animal Production, Neiker-Basque Institute for Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), Campus Agroalimentario de Arkaute, 01192, Arkaute, Spain.
Mónica Gutierrez-RivasDepartamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC), Crta. de la Coruña km 7.5, 28040, Madrid, Spain.
José Antonio Jiménez-MonteroConfederación de Asociaciones de Frisona Española, 28340, Valdemoro, Madrid, Spain.
Oscar González-RecioDepartamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC), Crta. de la Coruña km 7.5, 28040, Madrid, Spain. gonzalez.oscar@inia.es.ORCID http://orcid.org/0000-0002-9106-4063
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria · ESNEIKER, the Basque Institute for Agricultural Research and Development · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRumen microorganisms carry antimicrobial resistance genes which pose a threaten to animals and humans in a One Health context. In order to tackle the emergence of antimicrobial resistance it is vital to understand how they appear, their relationship with the host, how they behave as a whole in the ruminal ecosystem or how they spread to the environment or humans. We sequenced ruminal samples from 416 Holstein dairy cows in 14 Spanish farms using nanopore technology, to uncover the presence of resistance genes and their potential effect on human, animal and environmental health.

resultsWe found 998 antimicrobial resistance genes (ARGs) in the cow rumen and studied the 25 most prevalent genes in the 14 dairy cattle farms. The most abundant ARGs were related to the use of antibiotics to treat mastitis, metritis and lameness, the most common diseases in dairy cattle. The relative abundance (RA) of bacteriophages was positively correlated to the ARGs RA. The heritability of the RA of the more abundant ARGs ranged between 0.10 (mupA) and 0.49 (tetW), similar to the heritability of the RA of microbes that carried those ARGs. Even though these genes are carried by the microorganisms, the host is partially controlling their RA by having a more suitable rumen pH, folds, or other physiological traits that promote the growth of those microorganisms.

conclusionsWe were able to determine the most prevalent ARGs (macB, msbA, parY, rpoB2, tetQ and TaeA) in the ruminal bacteria ecosystem. The rumen is a reservoir of ARGs, and strategies to reduce the ARG load from livestock must be pursued.

Indexed as

Antibiotic resistanceAntimicrobial resistance genesDairy cattleLong-readsMetagenomicsMinIONNanoporeRuminal microbiotaRuminal resistome

Identifiers

PMID34551823
PMCPMC8456196
OpenAlexW3199418625

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.