Evidence map›Paper›PMID 39429883›Full record

ArticleiMeta2024

Integrating genome- and transcriptome-wide association studies to uncover the host-microbiome interactions in bovine rumen methanogenesis.

Wei Wang, Zhenyu Wei, Zhuohui Li, Jianrong Ren, Yanliang Song, Jingyi Xu, Anguo Liu, Xinmei Li, Manman Li, Huimei Fan and 9 more

Abstract read
In one paragraph

Article in iMeta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  4. Host genetic regulation of rumen 6-hydroxymelatonin reduces methane emissions in dairy cattle.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

19 authors.

Wei WangDepartment of Animal Genetics Breeding and Reproduction, College of Animal Science and Technology Northwest A&F University Yangling China.ORCID 0000-0002-7523-9249
Zhenyu WeiDepartment of Animal Genetics Breeding and Reproduction, College of Animal Science and Technology Northwest A&F University Yangling China.
Zhuohui LiDepartment of Animal Genetics Breeding and Reproduction, College of Animal Science and Technology Northwest A&F University Yangling China.
Jianrong RenDepartment of Animal Nutrition and Environmental Health College of Animal Science and Technology Northwest A&F University Yangling China.
Yanliang SongDepartment of Clinical Veterinary College of Veterinary Medicine Northwest A&F University Yangling China.
Jingyi XuDepartment of Animal Nutrition and Environmental Health College of Animal Science and Technology Northwest A&F University Yangling China.
Anguo LiuDepartment of Animal Genetics Breeding and Reproduction, College of Animal Science and Technology Northwest A&F University Yangling China.
Xinmei LiDepartment of Animal Genetics Breeding and Reproduction, College of Animal Science and Technology Northwest A&F University Yangling China.
Manman LiDepartment of Animal Genetics Breeding and Reproduction, College of Animal Science and Technology Northwest A&F University Yangling China.
Huimei FanDepartment of Animal Genetics Breeding and Reproduction, College of Animal Science and Technology Northwest A&F University Yangling China.
Liangliang JinDepartment of Animal Genetics Breeding and Reproduction, College of Animal Science and Technology Northwest A&F University Yangling China.
Zhannur NiyazbekovaDepartment of Animal Genetics Breeding and Reproduction, College of Animal Science and Technology Northwest A&F University Yangling China.
Wen WangSchool of Ecology and Environment Faculty of Life Sciences and Medicine Northwestern Polytechnical University Xi'an China.
Yuanpeng GaoDepartment of Clinical Veterinary College of Veterinary Medicine Northwest A&F University Yangling China.
Yu JiangDepartment of Animal Genetics Breeding and Reproduction, College of Animal Science and Technology Northwest A&F University Yangling China.
Junhu YaoDepartment of Animal Nutrition and Environmental Health College of Animal Science and Technology Northwest A&F University Yangling China.
Fuyong LiDepartment of Animal Science and Technology College of Animal Sciences Zhejiang University Hangzhou China.
Shengru WuDepartment of Animal Nutrition and Environmental Health College of Animal Science and Technology Northwest A&F University Yangling China.ORCID 0000-0002-1046-3477
Yu WangDepartment of Animal Genetics Breeding and Reproduction, College of Animal Science and Technology Northwest A&F University Yangling China.ORCID 0000-0001-5719-2961

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ruminal microbiota generates biogenic methane in ruminants. However, the role of host genetics in modifying ruminal microbiota-mediated methane emissions remains mysterious, which has severely hindered the emission control of this notorious greenhouse gas. Here, we uncover the host genetic basis of rumen microorganisms by genome- and transcriptome-wide association studies with matched genome, rumen transcriptome, and microbiome data from a cohort of 574 Holstein cattle. Heritability estimation revealed that approximately 70% of microbial taxa had significant heritability, but only 43 genetic variants with significant association with 22 microbial taxa were identified through a genome-wide association study (GWAS). In contrast, the transcriptome-wide association study (TWAS) of rumen microbiota detected 28,260 significant gene-microbe associations, involving 210 taxa and 4652 unique genes. On average, host genetic factors explained approximately 28% of the microbial abundance variance, while rumen gene expression explained 43%. In addition, we highlighted that TWAS exhibits a strong advantage in detecting gene expression and phenotypic trait associations in direct effector organs. For methanogenic archaea, only one significant signal was detected by GWAS, whereas the TWAS obtained 1703 significant associated host genes. By combining multiple correlation analyses based on these host TWAS genes, rumen microbiota, and volatile fatty acids, we observed that substrate hydrogen metabolism is an essential factor linking host-microbe interactions in methanogenesis. Overall, these findings provide valuable guidelines for mitigating methane emissions through genetic regulation and microbial management strategies in ruminants.

Indexed as

GWASHolstein cattlehost geneticsmethanogenesisrumen microbiotaTWAS

Identifiers

PMID39429883
PMCPMC11487568

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.