Evidence map›Paper›PMID 36894894›Full record

ArticleGenetics, selection, evolution : GSE2023

Effect of environmental variance-based resilience selection on the gut metabolome of rabbits.

Cristina Casto-Rebollo, María José Argente, María Luz García, Agustín Blasco, Noelia Ibáñez-Escriche

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Cristina Casto-RebolloInstitute for Animal Science and Technology, Universitat Politècnica de València, 46022, València, Spain.
María José ArgenteCentro de Investigación e Innovación Agroalimentaria y Agroambiental (CIAGRO_UMH), Miguel Hernández University, 03312, Orihuela, Spain.
María Luz GarcíaCentro de Investigación e Innovación Agroalimentaria y Agroambiental (CIAGRO_UMH), Miguel Hernández University, 03312, Orihuela, Spain.
Agustín BlascoInstitute for Animal Science and Technology, Universitat Politècnica de València, 46022, València, Spain.
Noelia Ibáñez-EscricheInstitute for Animal Science and Technology, Universitat Politècnica de València, 46022, València, Spain. noeibes@dca.upv.es.ORCID http://orcid.org/0000-0002-6221-3576
Universitat Politècnica de València · ESUniversitat de Miguel Hernández d'Elx · ES

Funding

Spanish Ministerio de Ciencia e Innovación (MCI)-Agencia Estatal de Investigación (AEI) and the European Regional Development Funds (FEDER) AGL2014-5592Spanish Ministerio de Ciencia e Innovación (MCI)-Agencia Estatal de Investigación (AEI) and the European Regional Development Funds (FEDER) AGL2017-86083Spanish Ministerio de Ciencia e Innovación (MCI)-Agencia Estatal de Investigación (AEI) and the European Regional Development Funds (FEDER) C2-1-PSpanish Ministerio de Ciencia e Innovación (MCI)-Agencia Estatal de Investigación (AEI) and the European Regional Development Funds (FEDER) C2-2-PSpanish Ministerio de Ciencia e Innovación (MCI)-Agencia Estatal de Investigación (AEI) and the European Regional Development Funds (FEDER) PID2020-115558GB-C21Spanish Ministry of Science, Innovation and Universities FPU17/01196
6 · The paper itself

Abstract

backgroundGut metabolites are key actors in host-microbiota crosstalk with effect on health. The study of the gut metabolome is an emerging topic in livestock, which can help understand its effect on key traits such as animal resilience and welfare. Animal resilience has now become a major trait of interest because of the high demand for more sustainable production. Composition of the gut microbiome can reveal mechanisms that underlie animal resilience because of its influence on host immunity. Environmental variance (V

resultsWe identified 15 metabolites that discriminate rabbits from the divergent populations with a prediction performance of 99.2% and 90.4% for the resilient and non-resilient populations, respectively. These metabolites were suggested to be biomarkers of animal resilience as they were the most reliable. Among these, five that derived from the microbiota metabolism (3-(4-hydroxyphenyl)lactate, 5-aminovalerate, and equol, N6-acetyllysine, and serine), were suggested to be indicators of dissimilarities in the microbiome composition between the rabbit populations. The abundances of acylcarnitines and metabolites derived from the phenylalanine, tyrosine, and tryptophan metabolism were low in the resilient population and these pathways can, therefore impact the inflammatory response and health status of animals.

conclusionsThis is the first study to identify gut metabolites that could act as potential resilience biomarkers. The results support differences in resilience between the two studied rabbit populations that were generated by selection for V

Indexed as

Gastrointestinal MicrobiomeMicrobiotaAnimalsBayes TheoremBiomarkersMetabolomeRabbitsBiomarkers

Identifiers

PMID36894894
PMCPMC9996918
OpenAlexW4323656880

What Socratic 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 Socratic graph.