Yun-Yun Hao, Eric Capo, Ziming Yang, Shuhai Wen, Zhi-Cheng Hu, Jiao Feng, Qiaoyun Huang, Baohua Gu, Yu-Rong Liu
{"title":"Distribution and Environmental Preference of Potential Mercury Methylators in Paddy Soils across China","authors":"Yun-Yun Hao, Eric Capo, Ziming Yang, Shuhai Wen, Zhi-Cheng Hu, Jiao Feng, Qiaoyun Huang, Baohua Gu, Yu-Rong Liu","doi":"10.1021/acs.est.4c05242","DOIUrl":null,"url":null,"abstract":"The neurotoxin methylmercury (MeHg) is produced mainly from the transformation of inorganic Hg by microorganisms carrying the <i>hgcAB</i> 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 <i>hgcA</i> 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 <i>hgcA</i><sup>+</sup> OTU richness was higher in tropical and subtropical paddy soils compared to temperate zones. <i>Geobacteraceae</i>, <i>Smithellaceae</i>, and <i>Methanoregulaceae</i> were identified as the dominant <i>hgcA</i><sup>+</sup> families associated with MeHg production, collectively accounting for up to 77% of total <i>hgcA</i><sup>+</sup> sequences. Hierarchical partitioning analyses revealed that pH was the main driver of <i>hgcA</i> genes from <i>Geobacteraceae</i> (14.8%) and <i>Methanoregulaceae</i> (16.3%), while altitude accounted for 21.4% of <i>hgcA</i> genes from <i>Smithellaceae</i><i>.</i> Based on these environmental preferences, a machine-learning algorithm was used to predict the spatial distribution of these dominant <i>hgcA</i><sup>+</sup> families, thereby providing novel insights into important microbial determinants for improved prediction of MeHg production in paddy soils across China.","PeriodicalId":36,"journal":{"name":"环境科学与技术","volume":"37 1","pages":""},"PeriodicalIF":11.3000,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学与技术","FirstCategoryId":"1","ListUrlMain":"https://doi.org/10.1021/acs.est.4c05242","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
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.
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.