Evidence map›Paper›PMID 39229495›Full record

ArticleISME communications2024

Purifying selection drives distinctive arsenic metabolism pathways in prokaryotic and eukaryotic microbes.

Lijuan Li, Songcan Chen, Ximei Xue, Jieyin Chen, Jian Tian, Lijuan Huo, Tuo Zhang, Xibai Zeng, Shiming Su

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ISME communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Lijuan LiInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences/Key Laboratory of Agricultural Environment, MARA, Beijing 100081, P.R. China.
Songcan ChenDivision of Microbial Ecology, Center for Microbiology and Environmental Systems Science, University of Vienna, Vienna 1030, Austria.
Ximei XueInstitute of Urban Environment, Key Laboratory of Urban Environment and Health, Chinese Academy of Sciences, Xiamen 361021, P.R. China.
Jieyin ChenInstitute of Plant Protection, State Key Laboratory for Biology of Plant Diseases and Insect Pests, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China.
Jian TianBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R. China.
Lijuan HuoSchool of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan 030024, P.R. China.
Tuo ZhangSchool of Environmental and Life Science, Nanning Normal University, Nanning 530100, P.R. China.
Xibai ZengInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences/Key Laboratory of Agricultural Environment, MARA, Beijing 100081, P.R. China.
Shiming SuInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences/Key Laboratory of Agricultural Environment, MARA, Beijing 100081, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbes play a crucial role in the arsenic biogeochemical cycle through specific metabolic pathways to adapt to arsenic toxicity. However, the different arsenic-detoxification strategies between prokaryotic and eukaryotic microbes are poorly understood. This hampers our comprehension of how microbe-arsenic interactions drive the arsenic cycle and the development of microbial methods for remediation. In this study, we utilized conserved protein domains from 16 arsenic biotransformation genes (ABGs) to search for homologous proteins in 670 microbial genomes. Prokaryotes exhibited a wider species distribution of arsenic reduction- and arsenic efflux-related genes than fungi, whereas arsenic oxidation-related genes were more prevalent in fungi than in prokaryotes. This was supported by significantly higher

Indexed as

arsenic biotransformation genes (ABGs)arsenic detoxificationeukaryotic and prokaryotic microorganismsgene distributionselection pressure

Identifiers

PMID39229495
PMCPMC11370035

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.