Evidence map›Paper›PMID 42004407›Full record

ArticleEcology and evolution2026

Diet-Driven Divergence in Gut Microbiota Variation Between Two Sympatric Gerbil Species.

Dongyang Chu, Nan Liu, Qingxuan Liu, Xin Li, Haizhou Yang, Na Zhu, Zhiying Liu, Rui Wang, Shuai Yuan, Heping Fu

Abstract read
In one paragraph

Article in Ecology and evolution, 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

10 authors.

Dongyang ChuCollege of Grassland Science, Inner Mongolia Agricultural University, Inner Mongolia Agricultural University Hohhot China.ORCID https://orcid.org/0009-0003-4516-7912
Nan LiuCollege of Grassland Science, Inner Mongolia Agricultural University, Inner Mongolia Agricultural University Hohhot China.
Qingxuan LiuCollege of Grassland Science, Inner Mongolia Agricultural University, Inner Mongolia Agricultural University Hohhot China.
Xin LiCollege of Grassland Science, Inner Mongolia Agricultural University, Inner Mongolia Agricultural University Hohhot China.
Haizhou YangCollege of Grassland Science, Inner Mongolia Agricultural University, Inner Mongolia Agricultural University Hohhot China.
Na ZhuCollege of Grassland Science, Inner Mongolia Agricultural University, Inner Mongolia Agricultural University Hohhot China.ORCID https://orcid.org/0009-0002-0331-055X
Zhiying LiuCollege of Grassland Science, Inner Mongolia Agricultural University, Inner Mongolia Agricultural University Hohhot China.
Rui WangCollege of Grassland Science, Inner Mongolia Agricultural University, Inner Mongolia Agricultural University Hohhot China.
Shuai YuanCollege of Grassland Science, Inner Mongolia Agricultural University, Inner Mongolia Agricultural University Hohhot China.
Heping FuCollege of Grassland Science, Inner Mongolia Agricultural University, Inner Mongolia Agricultural University Hohhot China.ORCID https://orcid.org/0000-0002-6863-1728

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gut microbiota provide various benefits to their mammalian hosts; however, knowledge regarding interspecific differences in gut microecology remains limited. This study employed 16S rRNA sequencing combined with metagenomic functional prediction (potential functions or functional potential) to conduct a comparative analysis of the gut microbial composition and functional adaptability of two sympatrically distributed gerbil species with distinct diets: the herbivorous

Indexed as

dietary habitsgerbilsgut microbiomesympatric coexistence

Identifiers

PMID42004407
PMCPMC13090099

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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.