Evidence map›Paper›PMID 42193767›Full record

ArticleAnimals : an open access journal from MDPI2026

Comparative Analysis of Gastrointestinal Microbiota Along the Digestive Tract in Sika Deer and Reindeer and Prediction of Their Potential Function.

Xinyu Peng, Huansheng Han, Ruihong Hu, Fanzhi Kong, Yuhan Lu

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 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

5 authors.

Xinyu PengCollege of Animal Science and Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China.ORCID 0009-0008-2327-2726
Huansheng HanCollege of Animal Science and Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China.ORCID 0000-0002-4106-9245
Ruihong HuCollege of Veterinary Medicine, Heilongjiang Agricultural Engineering Vocational College, Harbin 150088, China.ORCID 0009-0001-8975-3767
Fanzhi KongCollege of Animal Science and Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China.ORCID 0000-0003-2872-0088
Yuhan LuCollege of Animal Science and Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China.ORCID 0009-0003-7515-6384

Funding

Heilongjiang Bayi Agricultural University Undergraduate Innovation and Entrepreneurship Program Training Project S202510223044S,202510223179S,202410223151SInner Mongolia SenGong Group Science and Technology Project GSKJ-2023001
6 · The paper itself

Abstract

Gastrointestinal microbiota are essential for fiber degradation, energy metabolism, nutrient utilization, and environmental adaptation in ruminants. Although sika deer and reindeer both belong to the family Cervidae, they differ in ecology, feeding habits, and digestive physiology, which may be reflected in their gastrointestinal microbiota. Here, we used 16S rRNA amplicon sequencing to characterize the gastrointestinal microbial communities of healthy 5-year-old male sika deer and reindeer, with particular attention to taxonomic composition, diversity patterns, and predicted functional profiles across anatomical segments. Both species were dominated by a limited number of highly abundant taxa, but clear interspecific differences were observed. At the phylum level, Bacillota and Bacteroidota predominated in both species, whereas Methanobacteriota was more abundant in reindeer and Bacillota was relatively more abundant in sika deer. At the genus level, methanogen-associated taxa were more prominent in reindeer, whereas

Indexed as

16S rRNAdiversity analysisfunctional predictiongastrointestinal microbiotareindeersika deer

Identifiers

PMID42193767
PMCPMC13203257

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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.