In anoxic environments, anaerobic microorganisms carrying the hgcAB gene cluster
can mediate the transformation of mercury (Hg) to methylmercury (MMHg). The
kinetics of Hg transformation to MMHg in periphyton from East Fork Poplar Creek
(EFPC) in Oak Ridge, TN have previously been modeled using a transient availability
model (TAM). The TAM for Hg methylation combines kinetic expressions for processes
that reduce Hg and MMHg availability for methylation and demethylation (multisite
sorption of Hg and MMHg, Hg(II) reduction/Hg(0) oxidation) with
methylation/demethylation kinetics. In this study, the TAM is used for the first time to
describe MMHg production in sediment. We assessed MMHg production in sediment
microcosms using two different sediment types from EFPC: a carbon-rich sediment
with lower, more anoxic redox potential and a sandy, carbon-poor sediment with a
higher redox potential. Based on 16s rRNA sequencing, the overall microbial
community structure in the two sediments was retained during the incubations.
However, the hgcA containing methanogenic Euryarchaeota communities differed
between sediment types and their growth followed different trajectories over the course
of incubations, potentially contributing to the distinct patterns of MMHg production
observed. The general TAM paradigm performed well in describing MMHg production
in the sediments. However, the MMHg production and ancillary data suggested the
need to revise the model structure to incorporate terms for variable microbial activity.
We modified the TAM to include Monod-type kinetics for methylation and
demethylation and observed an improved fit for the carbon-rich, microbially active
sediment. Overall our work shows that the TAM can be applied to describe Hgmethylation
in sediments and including expressions that account for variable microbial
activity can improve the accuracy of the model description of the data in some cases.
Published: October 26, 2022
Citation
Schwartz G., K.A. Muller, S.S. Rathore, R. Wilpiszeski, A.A. Carrell, M. Cregger, and D.A. Elias, et al. 2022.Incorporating Concentration-Dependent Sediment Microbial Activity into Methylmercury Production Kinetics Modeling.Environmental Science: Processes & Impacts 24, no. 9:1392-1405.PNNL-SA-164700.doi:10.1039/D1EM00287B