Evidence map›Paper›PMID 41900291›Full record

ArticleMicroorganisms2026

Comparative Genomic Insights into MatE Transporter Diversity and Habitat Adaptation of Archaea.

Huan Leng, Leizhou Guo, Yi Chen, Liping Bai, Guihong Cha, Frank Delvigne

Abstract read
In one paragraph

Article in Microorganisms, 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
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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

6 authors.

Huan LengKey Laboratory of Development and Application of Rural Renewable Energy, Biogas Institute of Ministry of Agriculture and Rural Affairs, Chengdu 610041, China.
Leizhou GuoChengdu Institute of Food Inspection, Chengdu 611130, China.
Yi ChenKey Laboratory of Development and Application of Rural Renewable Energy, Biogas Institute of Ministry of Agriculture and Rural Affairs, Chengdu 610041, China.
Liping BaiKey Laboratory of Development and Application of Rural Renewable Energy, Biogas Institute of Ministry of Agriculture and Rural Affairs, Chengdu 610041, China.
Guihong ChaKey Laboratory of Development and Application of Rural Renewable Energy, Biogas Institute of Ministry of Agriculture and Rural Affairs, Chengdu 610041, China.
Frank DelvigneTerra Research and Teaching Centre, Microbial Processes and Interactions (MiPI), Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium.

Funding

China Scholarship Council No. 202303250063National Natural Science Foundation of China 42203080Science Foundation of the Chinese Academy of Agricultural Science 1610012023004
6 · The paper itself

Abstract

Archaea comprise deeply rooted and phylogenetically diverse lineages that inhabit a wide range of environments and play essential roles in global biogeochemical cycles. However, the diversity of MATE (Multidrug and Toxic Compound Extrusion) family transporters in archaea, which are presumably involved in habitat adaptation, remains poorly understood. Here, we systematically analyzed archaeal MatE transporters using large-scale phylogenetic and comparative genomic analyses, combined with structure-based clustering and molecular docking. Our results show that MatE transporters are significantly enriched in archaea from host-associated and hypersaline environments compared with those from other habitats. Specific MatE transporters are strongly associated with particular habitats, and their copy numbers are positively correlated with genome size. Moreover, MatE transporters in archaea exhibit structural diversity and can be classified into four structural classes, among which Class I is predominant in both abundance and phylogenetic distribution compared with Classes II, III, and IV. Overall, these findings indicate that the successful adaptation of archaea to specific habitats is related to the acquisition and maintenance of MatE transporters, which may be critical for their survival in these environments.

Indexed as

archaeahabitat adaptationMatE transportersmetabolic type

Identifiers

PMID41900291
PMCPMC13028788

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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.