Evidence map›Paper›PMID 36284711›Full record

ArticleComputational and structural biotechnology journal2022

Global genomic analysis of microbial biotransformation of arsenic highlights the importance of arsenic methylation in environmental and human microbiomes.

Ray Keren, Raphaël Méheust, Joanne M Santini, Alex Thomas, Jacob West-Roberts, Jillian F Banfield, Lisa Alvarez-Cohen

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

7 authors at 3 institutions in 2 countries.

Ray KerenDepartment of Civil and Environmental Engineering, University of California Berkeley, Berkeley, CA, USA.
Raphaël MéheustDepartment of Earth and Planetary Sciences, University of California Berkeley, Berkeley, CA, USA.
Joanne M SantiniResearch Department of Structural and Molecular Biology, University College London, London, UK.
Alex ThomasDepartment of Earth and Planetary Sciences, University of California Berkeley, Berkeley, CA, USA.
Jacob West-RobertsDepartment of Earth and Planetary Sciences, University of California Berkeley, Berkeley, CA, USA.
Jillian F BanfieldDepartment of Earth and Planetary Sciences, University of California Berkeley, Berkeley, CA, USA.
Lisa Alvarez-CohenDepartment of Civil and Environmental Engineering, University of California Berkeley, Berkeley, CA, USA.
Planetary Science Institute · USUniversity of California, Berkeley · USInstitute of Structural and Molecular Biology · GB

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MCHALE, CLIONA · 1987 to 2025
$74.6M
NIEHS NIH HHS P42 ES004705
6 · The paper itself

Abstract

Arsenic is a ubiquitous toxic element, the global cycle of which is highly affected by microbial redox reactions and assimilation into organoarsenic compounds through sequential methylation reactions. While microbial biotransformation of arsenic has been studied for decades, the past years have seen the discovery of multiple new genes related to arsenic metabolism. Still, most studies focus on a small set of key genes or a small set of cultured microorganisms. Here, we leveraged the recently greatly expanded availability of microbial genomes of diverse organisms from lineages lacking cultivated representatives, including those reconstructed from metagenomes, to investigate genetic repertoires of taxonomic and environmental controls on arsenic metabolic capacities. Based on the collection of arsenic-related genes, we identified thirteen distinct metabolic guilds, four of which combine the

Indexed as

ArsenicHuman microbiomeMachine LearningMicrobial genomics

Identifiers

PMID36284711
PMCPMC9582695
OpenAlexW4205452620

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.