Evidence map›Paper›PMID 42221914›Full record

ArticleISME communications2026

Temporal stability and geographical divergence of skin microbiota in a treefrog: insights from microbial communities and volatile secretions.

Tao-Yue Chen, Ke Deng, Qiao-Ling He, Tong-Liang Wang, Ji-Chao Wang, Jian-Guo Cui

Abstract read
In one paragraph

Article in ISME communications, 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

6 authors.

Tao-Yue ChenMountain Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan Province 610213, China.ORCID https://orcid.org/0009-0006-6775-7245
Ke DengMountain Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan Province 610213, China.ORCID https://orcid.org/0000-0003-2500-6794
Qiao-Ling HeMountain Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan Province 610213, China.
Tong-Liang WangMinistry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University, Haikou, Hainan Province 571158, China.
Ji-Chao WangMinistry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University, Haikou, Hainan Province 571158, China.
Jian-Guo CuiMountain Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan Province 610213, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin microbiota, which is highly sensitive to environmental heterogeneity, together with skin secretions, plays a critical role in defense and communication in amphibians. However, the temporal and geographical patterns of skin microbiota, as well as the composition of the skin volatile secretions, remain largely unexplored in many amphibian species. In the present study, we collected skin bacterial samples from the Hainan frilled tree frog (

Indexed as

geographical variationKurixalus hainanusskin microbiotatemporal variationvolatile secretions

Identifiers

PMID42221914
PMCPMC13219742

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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.