Evidence map›Paper›PMID 41715225›Full record

ArticleMicrobiome2026

Association between the gut microbiome and plasma metabolites linked to vocalization-based temperament in Merino sheep.

Luoyang Ding, Shuai Yang, Feifan Wu, Dale Pilling, Jinying Zhang, Kelsey Pool, Mira Nishvanthi, Sarah Babington, Shane K Maloney, Lianmin Chen and 4 more

Abstract read
In one paragraph

Article in Microbiome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Luoyang Ding *College of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Shuai Yang *Changzhou Medical Centre, The Third Affiliated Hospital With Nanjing Medical University, Nanjing Medical University, Changzhou, China.
Feifan WuCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Dale PillingSchool of Human Sciences, The University of Western Australia, Crawley, Australia.
Jinying ZhangCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Kelsey PoolSchool of Agriculture and Environment, The University of Western Australia, Crawley, Australia.
Mira NishvanthiSchool of Human Sciences, The University of Western Australia, Crawley, Australia.
Sarah BabingtonSchool of Agriculture and Environment, The University of Western Australia, Crawley, Australia.
Shane K MaloneySchool of Human Sciences, The University of Western Australia, Crawley, Australia.
Lianmin ChenChangzhou Medical Centre, The Third Affiliated Hospital With Nanjing Medical University, Nanjing Medical University, Changzhou, China. lianminchen@njmu.edu.cn.
Jing ShiDepartment of Cardiology, The First Affiliated Hospital With Nanjing Medical University, Nanjing Medical University, Nanjing, China. shijing5499@jsph.org.cn.
Yifeng WangDepartment of Cardiology, The First Affiliated Hospital With Nanjing Medical University, Nanjing Medical University, Nanjing, China. yifengwang@njmu.edu.cn.
Dominique BlacheCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China. dominique.blache@uwa.edu.au.
Mengzhi WangCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China. mengzhiwang@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTemperament, as a determinant of behavioural and emotional responses, has a substantial adaptive value in different environments. This study aims to investigate the association between the gut microbiota and temperament plasticity, and clarify the potential metabolic mechanism that underpins that association by running a multi-omics study in sheep.

methodsThe TrackSheep research cohort was generated using 200 healthy juvenile Merino ewes, and the rumen microbiota, plasma metabolome, and temperament phenotype was measured.

resultsRumen metagenomic analysis identified 25 microbial species and 16 MetaCyc pathways that explained 37.5% and 11.1%, respectively, of the variation in temperament as estimated using the vocal reactivity to stress. Among these, the γ-aminobutyric acid (GABA) shunt and allantoin degradation pathways showed the strongest associations with vocal behaviour. Multi-omic integration linked these microbial pathways to plasma metabolites that are involved in neurotransmission, antioxidant defense, and energy metabolism, including acetyl-L-carnitine (ALCAR) and urocortisone, which partially mediated the effects of microbial pathways on vocalisations. Notably, functional genomic and mediation analyses indicated that the abundance of Cryptobacteroides sp902761655 was associated with the activity of GABA shunt pathway, where GABA co-occurred with succinate production, in turn correlating with reduced inhibitory effects of ALCAR on stress-susceptible temperament. Although plasma metabolite shifts observed immediately after behavioural tests reflected stress exposure, their associations with rumen microbiota highlight microbiome-metabolite interplay that could underly behavioural variation.

conclusionsOur study provides the first large-scale multi-omics evidence linking the rumen microbiome to a dimension of emotional reactivity in livestock, while underscoring the need for longitudinal and experimental validation to establish causal mechanisms. Video Abstract.

Indexed as

BacteriaGastrointestinal MicrobiomeTemperamentVocalization, AnimalAnimalsFemalegamma-Aminobutyric AcidMetabolomeMetagenomicsMultiomicsRumenSheepgamma-Aminobutyric AcidAcetyl-L-carnitineMetabolomicsMicrobiomeNeural functionTemperament

Identifiers

PMID41715225
PMCPMC12937511

What OpenQuestion holds

Textmetadata
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.