Evidence map›Paper›PMID 39135684›Full record

ArticleiMeta2024

Deciphering functional groups of rumen microbiome and their underlying potentially causal relationships in shaping host traits.

Ming-Yuan Xue, Yun-Yi Xie, Xin-Wei Zang, Yi-Fan Zhong, Xiao-Jiao Ma, Hui-Zeng Sun, Jian-Xin Liu

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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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.

Ming-Yuan XueInstitute of Dairy Science, College of Animal Sciences Zhejiang University Hangzhou China.
Yun-Yi XieInstitute of Dairy Science, College of Animal Sciences Zhejiang University Hangzhou China.
Xin-Wei ZangInstitute of Dairy Science, College of Animal Sciences Zhejiang University Hangzhou China.
Yi-Fan ZhongInstitute of Dairy Science, College of Animal Sciences Zhejiang University Hangzhou China.
Xiao-Jiao MaInstitute of Dairy Science, College of Animal Sciences Zhejiang University Hangzhou China.
Hui-Zeng SunInstitute of Dairy Science, College of Animal Sciences Zhejiang University Hangzhou China.ORCID 0000-0001-5380-6030
Jian-Xin LiuInstitute of Dairy Science, College of Animal Sciences Zhejiang University Hangzhou China.ORCID 0000-0002-5812-5186

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the years, microbiome research has achieved tremendous advancements driven by culture-independent meta-omics approaches. Despite extensive research, our understanding of the functional roles and causal effects of the microbiome on phenotypes remains limited. In this study, we focused on the rumen metaproteome, combining it with metatranscriptome and metabolome data to accurately identify the active functional distributions of rumen microorganisms and specific functional groups that influence feed efficiency. By integrating host genetics data, we established the potentially causal relationships between microbes-proteins/metabolites-phenotype, and identified specific patterns in which functional groups of rumen microorganisms influence host feed efficiency. We found a causal link between

Indexed as

carbohydrate metabolismfunctional groupsholo‐omicsrumen microbiomeselenomonas bovis

Identifiers

PMID39135684
PMCPMC11316931

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.