Evidence map›Paper›PMID 38365240›Full record

ArticleThe ISME journal2024

Genomic basis of environmental adaptation in the widespread poly-extremophilic Exiguobacterium group.

Liang Shen, Yongqin Liu, Liangzhong Chen, Tingting Lei, Ping Ren, Mukan Ji, Weizhi Song, Hao Lin, Wei Su, Sheng Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in The ISME journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.9field-weighted citation impact, top 2% of its field
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

17 citing papers in PubMed, 32 citations in OpenAlex.

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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

12 authors at 6 institutions in 4 countries.

Liang ShenCollege of Life Sciences, Anhui Normal University, Wuhu 241000, China.
Yongqin LiuCenter for the Pan-Third Pole Environment, Lanzhou University, Lanzhou 730000, China.
Liangzhong ChenCollege of Life Sciences, Anhui Normal University, Wuhu 241000, China.
Tingting LeiCollege of Life Sciences, Anhui Normal University, Wuhu 241000, China.
Ping RenCollege of Life Sciences, Anhui Normal University, Wuhu 241000, China.
Mukan JiCenter for the Pan-Third Pole Environment, Lanzhou University, Lanzhou 730000, China.
Weizhi SongCentre for Marine Bio-Innovation, University of New South Wales, Sydney, NSW 2052, Australia.
Hao LinSchool of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China.
Wei SuSchool of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China.
Sheng WangShanghai Zelixir Biotech Company Ltd., Shanghai 200030, China.
Marianne RoomanComputational Biology and Bioinformatics, Université Libre de Bruxelles, Brussels 1050, Belgium.
Fabrizio PucciComputational Biology and Bioinformatics, Université Libre de Bruxelles, Brussels 1050, Belgium.
Anhui Normal University · CNLanzhou University · CNUniversité Libre de Bruxelles · BEUniversity of Electronic Science and Technology of China · CNMinistry of Education · KNUNSW Sydney · AU

Funding

Anhui Provincial Engineering Research Centre for Molecular Detection and Diagnostics 2022AH010012National Natural Science Foundation of China 92251304National Natural Science Foundation of China U21A20176Open Project Fund of Anhui Provincial Key Laboratory of Protection and Utilization of Important Biological Resources swzy202008Second Tibetan Plateau Scientific Expedition and Research 2019QZKK0503
6 · The paper itself

Abstract

Delineating cohesive ecological units and determining the genetic basis for their environmental adaptation are among the most important objectives in microbiology. In the last decade, many studies have been devoted to characterizing the genetic diversity in microbial populations to address these issues. However, the impact of extreme environmental conditions, such as temperature and salinity, on microbial ecology and evolution remains unclear so far. In order to better understand the mechanisms of adaptation, we studied the (pan)genome of Exiguobacterium, a poly-extremophile bacterium able to grow in a wide range of environments, from permafrost to hot springs. To have the genome for all known Exiguobacterium type strains, we first sequenced those that were not yet available. Using a reverse-ecology approach, we showed how the integration of phylogenomic information, genomic features, gene and pathway enrichment data, regulatory element analyses, protein amino acid composition, and protein structure analyses of the entire Exiguobacterium pangenome allows to sharply delineate ecological units consisting of mesophilic, psychrophilic, halophilic-mesophilic, and halophilic-thermophilic ecotypes. This in-depth study clarified the genetic basis of the defined ecotypes and identified some key mechanisms driving the environmental adaptation to extreme environments. Our study points the way to organizing the vast microbial diversity into meaningful ecologically units, which, in turn, provides insight into how microbial communities adapt and respond to different environmental conditions in a changing world.

Indexed as

ExiguobacteriumExtremophilesGenomicsPhylogenyProteinsProteinsecological unitsExiguobacteriumgenomicspoly-extremophileprotein structure

Identifiers

PMID38365240
PMCPMC10837837
OpenAlexW4390694523

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.