Evidence map›Paper›PMID 41003663›Full record

ArticleMicrobiology spectrum2025

Gut microbiome enterotypes drive divergent lactation performance in dairy goats through host-microbe metabolic cross-talk.

Dangdang Wang, Qingyan Yin, Guangfu Tang, Li Sun, Junjian Yu, Yangchun Cao, Junhu Yao

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. 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. Review
  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

7 authors.

Dangdang Wang *College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.ORCID 0000-0001-7237-7198
Qingyan Yin *College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.
Guangfu TangCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.
Li SunCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.
Junjian YuCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.
Yangchun CaoCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.ORCID 0000-0003-1033-2909
Junhu YaoCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.ORCID 0000-0001-6318-6576

Funding

National Center of Technology Innovation of Dairy 2024-KFKT-011National Natural Science Foundation of China 32402703Postdoctoral Fellowship Program of CPSF GZB20230592
6 · The paper itself

Abstract

The gut microbiome plays a pivotal role in modulating nutrient metabolism and lactation efficiency in ruminants, yet its functional stratification into enterotypes and implications for dairy goats remain unexplored. Here, we identified two distinct gut microbiome enterotypes in 134 lactating dairy goats: TR-cluster ( IMPORTANCE: Dairy goats are critical for global milk production, yet the gut microbiome-driven mechanisms that underlie individual differences in lactation performance remain largely unknown. To our knowledge, this is the largest cohort study to date that comprehensively characterizes gut microbiome enterotypes in lactating dairy goats and establishes their impact on gut fermentation, host metabolism, and milk production. We identified two distinct enterotypes with different microbial signatures, functional capacities, and ecological structures. Notably, the enterotype dominated by

Indexed as

BacteriaGastrointestinal MicrobiomeGoatsHost Microbial InteractionsLactationAnimalsFatty Acids, VolatileFemaleMilkFatty Acids, Volatileco-occurrence networkdairy goatenterotypefunctional predictiongut microbiomemilk production

Identifiers

PMID41003663
PMCPMC12584760

What OpenQuestion holds

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LicenceCC BY
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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.