Evidence map›Paper›PMID 34378947›Full record

ArticleApplied and environmental microbiology2021

High Arsenic Levels Increase Activity Rather than Diversity or Abundance of Arsenic Metabolism Genes in Paddy Soils.

Si-Yu Zhang, Xiao Xiao, Song-Can Chen, Yong-Guan Zhu, Guo-Xin Sun, Konstantinos T Konstantinidis

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 30 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

6 authors at 4 institutions in 3 countries.

Si-Yu ZhangSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai, China.ORCID 0000-0001-6701-5790
Xiao XiaoKey Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle, Nanchang Hangkong University, Nanchang, Jiangxi, China.
Song-Can ChenDivision of Microbial Ecology, Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria.
Yong-Guan ZhuState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciencesgrid.9227.e, Beijing, China.
Guo-Xin SunState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciencesgrid.9227.e, Beijing, China.
Konstantinos T KonstantinidisSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai, China.ORCID 0000-0002-0954-4755
Chinese Academy of Sciences · CNGeorgia Institute of Technology · USNanchang Hangkong University · CNUniversity of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arsenic (As) metabolism genes are generally present in soils, but their diversity, relative abundance, and transcriptional activity in response to different As concentrations remain unclear, limiting our understanding of the microbial activities that control the fate of an important environmental pollutant. To address this issue, we applied metagenomics and metatranscriptomics to paddy soils showing a gradient of As concentrations to investigate As resistance genes (

Indexed as

Genes, ArchaealGenes, BacterialSoil MicrobiologyArchaeaArsenicBacteriaBiodegradation, EnvironmentalMetals, HeavyOryzaRNA, Ribosomal, 16SSoil PollutantsArsenicMetals, HeavyRNA, Ribosomal, 16SSoil Pollutantsarsenic contaminationarsenic metabolism genesmicrobial abundance and diversitypaddy soiltranscriptional activity

Identifiers

PMID34378947
PMCPMC8478449
OpenAlexW3189553404

What OpenQuestion holds

Textmetadata
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.