Evidence map›Paper›PMID 38680874›Full record

ArticleComputational and structural biotechnology journal2024

Shifts in the microbial community and metabolome in rumen ecological niches during antler growth.

Songze Li, Ruina Mu, Yuhang Zhu, Fei Zhao, Qiang Qiu, Huazhe Si, André-Denis G Wright, Zhipeng Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Microbiology spectrum · 2025
    Article
  4. Review
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

8 authors.

Songze LiJoint International Research Laboratory of Modern Agricultural Technology, Ministry of Education, Jilin Agricultural University, Changchun 130118, China.
Ruina MuCollege of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China.
Yuhang ZhuCollege of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China.
Fei ZhaoCollege of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China.
Qiang QiuSchool of Ecology and Environment, Northwestern Polytechnical University, Xi'an 710100, China.
Huazhe SiCollege of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China.
André-Denis G WrightSchool of Biological Sciences, University of Oklahoma, Norman, OK 73019, USA.
Zhipeng LiJoint International Research Laboratory of Modern Agricultural Technology, Ministry of Education, Jilin Agricultural University, Changchun 130118, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antlers are hallmark organ of deer, exhibiting a relatively high growth rate among mammals, and requiring large amounts of nutrients to meet its development. The rumen microbiota plays key roles in nutrient metabolism. However, changes in the microbiota and metabolome in the rumen during antler growth are largely unknown. We investigated rumen microbiota (liquid, solid, ventral epithelium, and dorsal epithelium) and metabolic profiles of sika deer at the early (EG), metaphase (MG) and fast growth (FG) stages. Our data showed greater concentrations of acetate and propionate in the rumens of sika deer from the MG and FG groups than in those of the EG group. However, microbial diversity decreased during antler growth, and was negatively correlated with short-chain fatty acid (SCFA) levels.

Indexed as

Antler growthButyrateRumen ecological niches microbiotaγ-aminobutyrate

Identifiers

PMID38680874
PMCPMC11047195

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.