Evidence map›Paper›PMID 42093940›Full record

ArticleEcology and evolution2026

Comprehensive Sampling Across Seasons and Habitats Revealed the Composition and Functional Attributes of Gut Microbiota Enterotypes in Subterranean Rodents.

Shien Ren, Jingge Wang, Dongni Guo, Jin Li, Yifan Zhao, Chongxuan Han, Xiaoning Nan

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

7 authors.

Shien RenKey Laboratory of National Forestry and Grassland Administration on Management of Western Forest Bio-Disaster, College of Forestry Northwest A&F University Yangling Shaanxi China.ORCID https://orcid.org/0000-0002-3963-3353
Jingge WangCollege of Animal Science and Technology Ningxia University Yinchuan Ningxia China.
Dongni GuoKey Laboratory of National Forestry and Grassland Administration on Management of Western Forest Bio-Disaster, College of Forestry Northwest A&F University Yangling Shaanxi China.
Jin LiKey Laboratory of National Forestry and Grassland Administration on Management of Western Forest Bio-Disaster, College of Forestry Northwest A&F University Yangling Shaanxi China.
Yifan ZhaoKey Laboratory of National Forestry and Grassland Administration on Management of Western Forest Bio-Disaster, College of Forestry Northwest A&F University Yangling Shaanxi China.
Chongxuan HanKey Laboratory of National Forestry and Grassland Administration on Management of Western Forest Bio-Disaster, College of Forestry Northwest A&F University Yangling Shaanxi China.
Xiaoning NanKey Laboratory of National Forestry and Grassland Administration on Management of Western Forest Bio-Disaster, College of Forestry Northwest A&F University Yangling Shaanxi China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several rodent species are considered global pests owing to their broad dietary habits, with stable gut microbiota enterotypes playing a vital role in host digestion. This study examined the Gansu zokor, a subterranean pest rodent endemic to the Loess Plateau. By extensive sampling across seasons and habitats, we characterized the gut microbiota enterotypes and clarified the mechanisms underlying their adaptation to diverse dietary resources. The gut microbiota of the Gansu zokor was categorized into two distinct enterotypes (E1 and E2), whose distribution varied markedly by season and habitat. The

Indexed as

enterotypesGansu zokorgut microbiotapest controlsubterranean rodent

Identifiers

PMID42093940
PMCPMC13139636

What OpenQuestion holds

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LicenceCC BY
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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.