Evidence map›Paper›PMID 31146755›Full record

ArticleBMC biology2019

A global survey of arsenic-related genes in soil microbiomes.

Taylor K Dunivin, Susanna Y Yeh, Ashley Shade

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
7.4field-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

48 citing papers in PubMed, 110 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Metagenomic Thermometer.DNA research : an international journal for rapid publication of reports on genes and genomes · 2023
    Article
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Taylor K DunivinDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI, 48824, USA.
Susanna Y YehInstitute for Cyber-Enabled Research, Michigan State University, East Lansing, MI, 48824, USA.
Ashley ShadeDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI, 48824, USA. shadeash@msu.edu.ORCID 0000-0002-7189-3067
Michigan State University · US

Funding

A Short Course in Computation, Statistical Analyses, and Interpretation of Microbial Metagenome DataR25GM115335 · NIGMS · MICHIGAN STATE UNIVERSITY · PI SHADE, ASHLEY · 2015 to 2017
$189k
NIGMS NIH HHS R25 GM115335
6 · The paper itself

Abstract

backgroundEnvironmental resistomes include transferable microbial genes. One important resistome component is resistance to arsenic, a ubiquitous and toxic metalloid that can have negative and chronic consequences for human and animal health. The distribution of arsenic resistance and metabolism genes in the environment is not well understood. However, microbial communities and their resistomes mediate key transformations of arsenic that are expected to impact both biogeochemistry and local toxicity.

resultsWe examined the phylogenetic diversity, genomic location (chromosome or plasmid), and biogeography of arsenic resistance and metabolism genes in 922 soil genomes and 38 metagenomes. To do so, we developed a bioinformatic toolkit that includes BLAST databases, hidden Markov models and resources for gene-targeted assembly of nine arsenic resistance and metabolism genes: acr3, aioA, arsB, arsC (grx), arsC (trx), arsD, arsM, arrA, and arxA. Though arsenic-related genes were common, they were not universally detected, contradicting the common conjecture that all organisms have them. From major clades of arsenic-related genes, we inferred their potential for horizontal and vertical transfer. Different types and proportions of genes were detected across soils, suggesting microbial community composition will, in part, determine local arsenic toxicity and biogeochemistry. While arsenic-related genes were globally distributed, particular sequence variants were highly endemic (e.g., acr3), suggesting dispersal limitation. The gene encoding arsenic methylase arsM was unexpectedly abundant in soil metagenomes (median 48%), suggesting that it plays a prominent role in global arsenic biogeochemistry.

conclusionsOur analysis advances understanding of arsenic resistance, metabolism, and biogeochemistry, and our approach provides a roadmap for the ecological investigation of environmental resistomes.

Indexed as

Soil MicrobiologyAccess to InformationArsenicBacteriaDrug Resistance, BacterialMicrobiotaSoil PollutantsArsenicSoil PollutantsArsenicBiogeographyBioinformaticsFunctional geneHorizontal gene transferPhylogenetic diversityPhylogenyPlasmidResistomeTargeted gene assembly

Identifiers

PMID31146755
PMCPMC6543643
OpenAlexW2947702113

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.