Evidence map›Paper›PMID 40391120›Full record

ArticleEcology and evolution2025

Microbiota as Potential Functional Traits Facilitating Springtail Activity in Winter.

Cao Hao, Bing Zhang, Pingting Guan, Zhijing Xie, Guoliang Xu, Donghui Wu, Ting-Wen Chen

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. 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.

Cao HaoSchool of Geography and Remote Sensing Guangzhou University Guangzhou China.ORCID https://orcid.org/0000-0002-8670-2374
Bing ZhangChina Grassland Research Center, School of Grassland Science Beijing Forestry University Beijing China.
Pingting GuanState Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, School of Environment Northeast Normal University Changchun China.ORCID https://orcid.org/0000-0002-8708-4993
Zhijing XieState Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, School of Environment Northeast Normal University Changchun China.
Guoliang XuSchool of Geography and Remote Sensing Guangzhou University Guangzhou China.ORCID https://orcid.org/0000-0002-5362-7638
Donghui WuState Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, School of Environment Northeast Normal University Changchun China.
Ting-Wen ChenJ.F. Blumenbach Institute of Zoology and Anthropology University of Göttingen Göttingen Germany.ORCID https://orcid.org/0000-0001-9449-3034

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the role of microbiota in supporting animal survival and activity under extreme environmental conditions provides valuable insights into adaptation and resilience mechanisms in ecosystems. While vertebrate microbiota have received considerable attention, those associated with arthropods, particularly species capable of surviving sub-zero temperatures, remain poorly understood. Springtails (Collembola), key contributors to litter decomposition and soil ecosystem functioning, require specialized adaptations to endure harsh winter conditions. Using the α- and β-niche trait concept and phylogenetic comparative approaches, we investigated the microbiota of 10 coexisting springtail species with different overwintering strategies. Our results revealed that certain bacterial genera, including

Indexed as

comparative methodfunctional traitgut microbiomesoil microarthropodwinter biodiversity

Identifiers

PMID40391120
PMCPMC12086981

What OpenQuestion holds

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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.