Unraveling Microbial Communities Associated with Methylmercury Production in Paddy Soils

Yu Rong Liu, Alexander Johs, Li Bi, Xia Lu, Hang Wei Hu, Dan Sun, Ji Zheng He, Baohua Gu

Research output: Contribution to journalArticlepeer-review

112 Scopus citations

Abstract

Rice consumption is now recognized as an important pathway of human exposure to the neurotoxin methylmercury (MeHg), particularly in countries where rice is a staple food. Although the discovery of a two-gene cluster hgcAB has linked Hg methylation to several phylogenetically diverse groups of anaerobic microorganisms converting inorganic mercury (Hg) to MeHg, the prevalence and diversity of Hg methylators in microbial communities of rice paddy soils remain unclear. We characterized the abundance and distribution of hgcAB genes using third-generation PacBio long-read sequencing and Illumina short-read metagenomic sequencing, in combination with quantitative PCR analyses in several mine-impacted paddy soils from southwest China. Both Illumina and PacBio sequencing analyses revealed that Hg methylating communities were dominated by iron-reducing bacteria (i.e., Geobacter) and methanogens, with a relatively low abundance of hgcA+ sulfate-reducing bacteria in the soil. A positive correlation was observed between the MeHg content in soil and the relative abundance of Geobacter carrying the hgcA gene. Phylogenetic analysis also uncovered some hgcAB sequences closely related to three novel Hg methylators, Geobacter anodireducens, Desulfuromonas sp. DDH964, and Desulfovibrio sp. J2, among which G. anodireducens was validated for its ability to methylate Hg. These findings shed new light on microbial community composition and major clades likely driving Hg methylation in rice paddy soils.

Original languageEnglish
Pages (from-to)13110-13118
Number of pages9
JournalEnvironmental Science and Technology
Volume52
Issue number22
DOIs
StatePublished - Nov 20 2018

Funding

We thank Xinquan Zhou and Wenli Tang for their assistance in mercury analysis and Pengpeng Xu for technical support in bioinformatics analysis. This research was supported in part by the National Natural Science Foundation of China (41877120, 41571453) and the U.S. Department of Energy (DOE) Office of Science, Office of Biological and Environmental Research (BER), Oak Ridge National Laboratory (ORNL) is managed by UT-Battelle, LLC under contract No. DE-AC05-00OR22725 with DOE.

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