Evidence map›Paper›PMID 38564256›Full record

ArticleThe ISME journal2024

Soil redox status governs within-field spatial variation in microbial arsenic methylation and rice straighthead disease.

A-Xiang Gao, Chuan Chen, Zi-Yu Gao, Zhi-Qiang Zhai, Peng Wang, Si-Yu Zhang, Fang-Jie Zhao

Open access · goldAbstract read
In one paragraph

Article in The ISME journal, 2024. 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
8.0field-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

4 citing papers in PubMed, 32 citations in OpenAlex.

  1. Microbial necromass carbon enhances arsenic methylation in paddy soils.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

7 authors at 2 institutions in 1 country.

A-Xiang GaoState Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Center of Agricultural Health, Academy for Advanced Interdisciplinary, Jiangsu Provincial Key Laboratory for Organic Solid Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, College of Resources and Environmental Sciences, Nanjing Agricultural University, NO. 1 Weigang, Xuanwu district, Nanjing 210095, China.
Chuan ChenState Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Center of Agricultural Health, Academy for Advanced Interdisciplinary, Jiangsu Provincial Key Laboratory for Organic Solid Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, College of Resources and Environmental Sciences, Nanjing Agricultural University, NO. 1 Weigang, Xuanwu district, Nanjing 210095, China.
Zi-Yu GaoSchool of Ecological and Environmental Sciences, East China Normal University, NO. 500 Dongchuan Street, Minghang, Shanghai 200241, China.
Zhi-Qiang ZhaiState Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Center of Agricultural Health, Academy for Advanced Interdisciplinary, Jiangsu Provincial Key Laboratory for Organic Solid Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, College of Resources and Environmental Sciences, Nanjing Agricultural University, NO. 1 Weigang, Xuanwu district, Nanjing 210095, China.
Peng WangState Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Center of Agricultural Health, Academy for Advanced Interdisciplinary, Jiangsu Provincial Key Laboratory for Organic Solid Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, College of Resources and Environmental Sciences, Nanjing Agricultural University, NO. 1 Weigang, Xuanwu district, Nanjing 210095, China.
Si-Yu ZhangSchool of Ecological and Environmental Sciences, East China Normal University, NO. 500 Dongchuan Street, Minghang, Shanghai 200241, China.
Fang-Jie ZhaoState Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Center of Agricultural Health, Academy for Advanced Interdisciplinary, Jiangsu Provincial Key Laboratory for Organic Solid Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, College of Resources and Environmental Sciences, Nanjing Agricultural University, NO. 1 Weigang, Xuanwu district, Nanjing 210095, China.
Nanjing Agricultural University · CNEast China Normal University · CN

Funding

Fundamental Research Funds for the Central Universities XUEKEN2023042National Natural Science Foundation of China 41930758
6 · The paper itself

Abstract

Microbial arsenic (As) methylation in paddy soil produces mainly dimethylarsenate (DMA), which can cause physiological straighthead disease in rice. The disease is often highly patchy in the field, but the reasons remain unknown. We investigated within-field spatial variations in straighthead disease severity, As species in rice husks and in soil porewater, microbial composition and abundance of arsM gene encoding arsenite S-adenosylmethionine methyltransferase in two paddy fields. The spatial pattern of disease severity matched those of soil redox potential, arsM gene abundance, porewater DMA concentration, and husk DMA concentration in both fields. Structural equation modelling identified soil redox potential as the key factor affecting arsM gene abundance, consequently impacting porewater DMA and husk DMA concentrations. Core amplicon variants that correlated positively with husk DMA concentration belonged mainly to the phyla of Chloroflexi, Bacillota, Acidobacteriota, Actinobacteriota, and Myxococcota. Meta-omics analyses of soil samples from the disease and non-disease patches identified 5129 arsM gene sequences, with 71% being transcribed. The arsM-carrying hosts were diverse and dominated by anaerobic bacteria. Between 96 and 115 arsM sequences were significantly more expressed in the soil samples from the disease than from the non-disease patch, which were distributed across 18 phyla, especially Acidobacteriota, Bacteroidota, Verrucomicrobiota, Chloroflexota, Pseudomonadota, and Actinomycetota. This study demonstrates that even a small variation in soil redox potential within the anoxic range can cause a large variation in the abundance of As-methylating microorganisms, thus resulting in within-field variation in rice straighthead disease. Raising soil redox potential could be an effective way to prevent straighthead disease.

Indexed as

ArsenicOryzaSoil PollutantsBacteriaCacodylic AcidMethylationOxidation-ReductionSoilArsenicCacodylic AcidSoilSoil Pollutantsarsenicarsenic methylationdimethylarsenatepaddy soilredox potentialricestraighthead disease

Identifiers

PMID38564256
PMCPMC11031232
OpenAlexW4393580022

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.