Distribution and Environmental Preference of Potential Mercury Methylators in Paddy Soils across China

IF 11.3 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Yun-Yun Hao, Eric Capo, Ziming Yang, Shuhai Wen, Zhi-Cheng Hu, Jiao Feng, Qiaoyun Huang, Baohua Gu, Yu-Rong Liu
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Abstract

The neurotoxin methylmercury (MeHg) is produced mainly from the transformation of inorganic Hg by microorganisms carrying the hgcAB gene pair. Paddy soils are known to harbor diverse microbial communities exhibiting varying abilities in methylating inorganic Hg, but their distribution and environmental drivers remain unknown at a large spatial scale. Using hgcA gene amplicon sequencing, this study examined Hg-methylating communities from major rice-producing paddy soils across a transect of ∼3600 km and an altitude of ∼1300 m in China. Results showed that hgcA+ OTU richness was higher in tropical and subtropical paddy soils compared to temperate zones. Geobacteraceae, Smithellaceae, and Methanoregulaceae were identified as the dominant hgcA+ families associated with MeHg production, collectively accounting for up to 77% of total hgcA+ sequences. Hierarchical partitioning analyses revealed that pH was the main driver of hgcA genes from Geobacteraceae (14.8%) and Methanoregulaceae (16.3%), while altitude accounted for 21.4% of hgcA genes from Smithellaceae. Based on these environmental preferences, a machine-learning algorithm was used to predict the spatial distribution of these dominant hgcA+ families, thereby providing novel insights into important microbial determinants for improved prediction of MeHg production in paddy soils across China.

Abstract Image

中国水稻土中潜在汞甲基化物的分布及环境偏好
神经毒素甲基汞(MeHg)主要是由携带hgcAB基因对的微生物转化无机汞产生的。众所周知,水稻土中存在多种微生物群落,表现出不同的甲基化无机汞的能力,但它们在大空间尺度上的分布和环境驱动因素尚不清楚。利用hgcA基因扩增子测序,本研究在中国海拔约1300米的约3600公里的样带上检测了主要水稻生产土壤中的汞甲基化群落。结果表明,热带和亚热带水稻土的hgcA+ OTU丰富度高于温带。Geobacteraceae、Smithellaceae和Methanoregulaceae被确定为与MeHg产生相关的优势hgcA+家族,占总hgcA+序列的77%。层次划分分析显示,pH是Geobacteraceae(14.8%)和Methanoregulaceae (16.3%) hgcA基因的主要驱动因子,而海拔对Smithellaceae (21.4%) hgcA基因的驱动因子。基于这些环境偏好,使用机器学习算法预测这些优势hgcA+家族的空间分布,从而为改善中国水稻土MeHg产量预测提供重要微生物决定因素的新见解。
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来源期刊
环境科学与技术
环境科学与技术 环境科学-工程:环境
CiteScore
17.50
自引率
9.60%
发文量
12359
审稿时长
2.8 months
期刊介绍: Environmental Science & Technology (ES&T) is a co-sponsored academic and technical magazine by the Hubei Provincial Environmental Protection Bureau and the Hubei Provincial Academy of Environmental Sciences. Environmental Science & Technology (ES&T) holds the status of Chinese core journals, scientific papers source journals of China, Chinese Science Citation Database source journals, and Chinese Academic Journal Comprehensive Evaluation Database source journals. This publication focuses on the academic field of environmental protection, featuring articles related to environmental protection and technical advancements.
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