Evidence map›Paper›PMID 41925224›Full record

ArticleThe ISME journal2026

Unique microbial communities and phylosymbiosis signals in herpetofauna.

Jiaying Li, Yuze Gao, Xuelin Zhao, Jiahao Zhu, Si Zheng, Qihan Guo, Longhui Zhao, Guocheng Shu, Yuzhou Gong, Wujie Xu and 1 more

Abstract read
In one paragraph

Article in The ISME journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

11 authors.

Jiaying LiDepartment of Automation, Tsinghua University, Beijing 100084, China.
Yuze GaoDepartment of Computer Science and Technology, Tsinghua University, Beijing 100084, China.
Xuelin ZhaoSchool of Marine Sciences, Ningbo University, Ningbo 315211, China.
Jiahao ZhuDepartment of Computer Science and Technology, Tsinghua University, Beijing 100084, China.
Si ZhengDepartment of Computer Science and Technology, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-9834-9774
Qihan GuoDepartment of Computer Science and Technology, Tsinghua University, Beijing 100084, China.
Longhui ZhaoMinistry 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 571158, China.
Guocheng ShuFaculty of Agriculture, Forest and Food Engineering, Yibin University, Yibin 644000, China.
Yuzhou GongCollege of Fisheries, Hunan Agricultural University, Changsha 410128, China.
Wujie XuSouth China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China.ORCID 0000-0002-9448-0513
Ting ChenDepartment of Computer Science and Technology, Tsinghua University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial symbionts are closely related to the internal and external factors of their host. However, the prevalence of phylosymbiosis (the presence of host phylogenetic signal in microbial community composition) remains controversial, especially in animals collectively referred to as herpetofauna. To expand our understanding of host-microbiota interactions, we analysed 11 697 symbiotic microbiota samples from of 337 herpetofaunal species, covering skin, oral cavity, gut, cloaca, feces, and other body sites. The composition of the microbial communities gradually changes along the digestive tract, and is host-specific in each region. Overall, herpetofauna's dominant microbial taxa (Firmicutes, Proteobacteria, Bacteroidota) are more similar to mammals than fish (which are dominated by Proteobacteria, Firmicutes, and Fusobacteriota). However, phylosymbiosis in herpetofauna is weaker than in mammals and tends to occur at higher host taxonomic levels. The strength of the phylosymbiosis signal is influenced by body site, host genetic distance, and analytical method. It indicates that phylosymbiosis exists but is not universal. The intensity and significance of this signal are influenced by host taxonomic scale, the location of the microbial communities, and the assessment methods. These results advance our knowledge of host-microbe interactions across the Tree of Life.

Indexed as

BacteriaHost Microbial InteractionsMicrobiotaSymbiosisAnimalsPhylogenyherpetofaunahost phylogenyphylosymbiosissymbiotic microbiota

Identifiers

PMID41925224
PMCPMC13147448

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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.