Evidence map›Paper›PMID 39543780›Full record

ArticleMicrobiome2024

Various microbial taxa couple arsenic transformation to nitrogen and carbon cycling in paddy soils.

Xin-Di Zhao, Zi-Yu Gao, Jingjing Peng, Konstantinos T Konstantinidis, Si-Yu Zhang

Abstract read
In one paragraph

Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Spatially resolved denitrification coupled with methane and arsenite oxidation at the millimeter-scale straw-soil interface.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Review
  4. Microbial necromass carbon enhances arsenic methylation in paddy soils.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. 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

5 authors.

Xin-Di ZhaoSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai, China.
Zi-Yu GaoSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai, China.
Jingjing PengState Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, Key Laboratory of Plant-Soil Interactions, National Academy of Agriculture Green Development, China Agricultural University, Beijing, China.
Konstantinos T KonstantinidisSchool of Civil & Environmental Engineering and School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
Si-Yu ZhangSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai, China. syzhang@des.ecnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArsenic (As) metabolism pathways and their coupling to nitrogen (N) and carbon (C) cycling contribute to elemental biogeochemical cycling. However, how whole-microbial communities respond to As stress and which taxa are the predominant As-transforming bacteria or archaea in situ remains unclear. Hence, by constructing and applying ROCker profiles to precisely detect and quantify As oxidation (aioA, arxA) and reduction (arrA, arsC1, arsC2) genes in short-read metagenomic and metatranscriptomic datasets, we investigated the dominant microbial communities involved in arsenite (As(III)) oxidation and arsenate (As(V)) reduction and revealed their potential pathways for coupling As with N and C in situ in rice paddies.

resultsFive ROCker models were constructed to quantify the abundance and transcriptional activity of short-read sequences encoding As oxidation (aioA and arxA) and reduction (arrA, arsC1, arsC2) genes in paddy soils. Our results revealed that the sub-communities carrying the aioA and arsC2 genes were predominantly responsible for As(III) oxidation and As(V) reduction, respectively. Moreover, a newly identified As(III) oxidation gene, arxA, was detected in genomes assigned to various phyla and showed significantly increased transcriptional activity with increasing soil pH, indicating its important role in As(III) oxidation in alkaline soils. The significant correlation of the transcriptional activities of aioA with the narG and nirK denitrification genes, of arxA with the napA and nirS denitrification genes and of arrA/arsC2 with the pmoA and mcrA genes implied the coupling of As(III) oxidation with denitrification and As(V) reduction with methane oxidation. Various microbial taxa including Burkholderiales, Desulfatiglandales, and Hyphomicrobiales (formerly Rhizobiales) are involved in the coupling of As with N and C metabolism processes. Moreover, these correlated As and N/C genes often co-occur in the same genome and exhibit greater transcriptional activity in paddy soils with As contamination than in those without contamination.

conclusionsOur results revealed the comprehensive detection and typing of short-read sequences associated with As oxidation and reduction genes via custom-built ROCker models, and shed light on the various microbial taxa involved in the coupling of As and N and C metabolism in situ in paddy soils. The contribution of the arxA sub-communities to the coupling of As(III) oxidation with nitrate reduction and the arsC sub-communities to the coupling of As(V) reduction with methane oxidation expands our knowledge of the interrelationships among As, N, and C cycling in paddy soils. Video Abstract.

Indexed as

ArchaeaArsenicBacteriaNitrogenOryzaOxidation-ReductionSoilSoil MicrobiologyArsenatesArsenitesCarbonCarbon CycleMicrobiotaArsenatesArsenicarseniteArsenitesCarbonNitrogenSoilArsenate reduction genesArsenite oxidation genesDenitrification genesDissimilatory nitrate reduction genesMethane cycling genesPaddy soilROCker model

Identifiers

PMID39543780
PMCPMC11566909

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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.