砷
砷硼烷
地下水砷污染
遗传算法
砷毒性
作物
农业生态系统
生物
生物地球化学
水田
基因组
根际
土壤水分
环境化学
农学
环境科学
水稻
生态学
类金属
粮食安全
主食
土壤微生物学
营养水平
食品安全
稻属
生物技术
污染
甲基汞
生态系统
农业
作者
Jun Dai,Chuan Chen,Zhiqiang Zhai,Axiang Gao,David R. Johnson,Peter M. Kopittke,Fang‐Jie Zhao,Peng Wang
标识
DOI:10.1073/pnas.2508311122
摘要
Arsenic contamination in rice poses a global challenge to food safety and agricultural productivity, as toxic methylated arsenic species-dimethylarsinic acid (DMA) and its highly toxic derivative, methylated monothioarsenate (DMMTA)-accumulate in rice grains. These arsenic species endanger human health and trigger rice straighthead disease, a crop disorder that drastically reduces yields. However, the microbial ecological processes driving arsenic speciation in paddy soils, and their link to striking geographic disparities in rice arsenic speciation profiles and disease prevalence, remain poorly understood. Here, we integrate soil chronosequences spanning 1 to 2,000 y of rice cultivation, a global metagenomic survey of 801 paddy soils, controlled incubations, and field surveys to demonstrate that the balance between arsenic-methylating and arsenic-demethylating microbes is the key determinant of rice grain arsenic speciation and straighthead disease susceptibility. We show that young and moderate-age paddy soils (<700 y), common in regions such as the Americas and Europe, are enriched in arsenic-methylating bacteria, leading to elevated DMA and DMMTA in soils and rice grains. In contrast, ancient paddies in Southeast Asia harbor robust populations of DMA-demethylating methanogenic archaea that effectively mitigate the buildup of these toxic arsenic species. We identify core microbial taxa whose abundances serve as predictive biomarkers and construct a global risk map linking a high methylator-to-demethylator ratio in soils with increased straighthead disease incidence. These findings advance our understanding of arsenic biogeochemistry in agroecosystems and establish a predictive framework for identifying regions at elevated risk of arsenic-induced crop disorders and food contamination.
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