Evidence map›Paper›PMID 33785617›Full record

ArticlemBio2021

Casting Light on the Adaptation Mechanisms and Evolutionary History of the Widespread Sumerlaeota.

Yun Fang, Yang Yuan, Jun Liu, Geng Wu, Jian Yang, Zhengshuang Hua, Jibin Han, Xiying Zhang, Wenjun Li, Hongchen Jiang

Abstract read
In one paragraph

Article in mBio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  14. Metabolic versatility ofFrontiers in microbiology · 2023
    Article
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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

10 authors.

Yun FangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China.ORCID 0000-0001-8853-336X
Yang YuanState Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
Jun LiuState Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.ORCID 0000-0001-8148-3515
Geng WuState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China wugeng@cug.edu.cn jiangh@cug.edu.cn.ORCID 0000-0002-7259-1044
Jian YangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China.
Zhengshuang HuaDepartment of Biological Sciences, Dartmouth College, Hanover, New Hampshire, USA.
Jibin HanKey Laboratory of Salt Lake Geology and Environment of Qinghai Province, Qinghai Institute of Salt Lakes, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Xining, China.
Xiying ZhangKey Laboratory of Salt Lake Geology and Environment of Qinghai Province, Qinghai Institute of Salt Lakes, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Xining, China.
Wenjun LiState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China.ORCID 0000-0002-1233-736X
Hongchen JiangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China wugeng@cug.edu.cn jiangh@cug.edu.cn.ORCID 0000-0003-1271-7028

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sumerlaeota is a mysterious, putative phylum-level lineage distributed globally but rarely reported. As such, their physiology, ecology, and evolutionary history remain unknown. The 16S rRNA gene survey reveals that Sumerlaeota is frequently detected in diverse environments globally, especially cold arid desert soils and deep-sea basin surface sediments, where it is one dominant microbial group. Here, we retrieved four Sumerlaeota metagenome-assembled genomes (MAGs) from two hot springs and one saline lake. Including another 12 publicly available MAGs, they represent six of the nine putative Sumerlaeota subgroups/orders, as indicated by 16S rRNA gene-based phylogeny. These elusive organisms likely obtain carbon mainly through utilization of refractory organics (e.g., chitin and cellulose) and proteinaceous compounds, suggesting that Sumerlaeota act as scavengers in nature. The presence of key bidirectional enzymes involved in acetate and hydrogen metabolisms in these MAGs suggests that they are acetogenic bacteria capable of both the production and consumption of hydrogen. The capabilities of dissimilatory nitrate and sulfate reduction, nitrogen fixation, phosphate solubilization, and organic phosphorus mineralization may confer these heterotrophs great advantages to thrive under diverse harsh conditions. Ancestral state reconstruction indicated that Sumerlaeota originated from chemotrophic and facultatively anaerobic ancestors, and their smaller and variably sized genomes evolved along dynamic pathways from a sizeable common ancestor (2,342 genes), leading to their physiological divergence. Notably, large gene gain and larger loss events occurred at the branch to the last common ancestor of the order subgroup 1, likely due to niche expansion and population size effects.

Indexed as

Evolution, MolecularAcetatesAdaptation, PhysiologicalBacteriaBacterial Physiological PhenomenaDesert ClimateDNA, BacterialGenome, BacterialGeologic SedimentsHydrogenPhylogenyRNA, Ribosomal, 16SSeawaterSoil MicrobiologyAcetatesDNA, BacterialHydrogenRNA, Ribosomal, 16Sadaptation mechanismsancestral state reconstructionharsh environmentsrefractory organic compoundsSumerlaeota

Identifiers

PMID33785617
PMCPMC8092238

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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.