Understanding Ferruginous Versus Euxinic Conditions by Simulating Microbial Conditions in Meromictic Lakes
Open Access
- 1 September 2025
- journal article
- Published by Wiley in Geobiology
- Vol. 23 (5) , e70037
Abstract
Ferruginous (iron‐rich) conditions have been prominent in oceans throughout the Earth's geologic history but now are reliably found only in a handful of permanently stratified lakes. Microbially mediated iron reduction in such anoxic environments competes with sulfate reduction, which promotes euxinic (sulfide‐rich) conditions. Besides the shared demand for organic compounds, the competition is fostered by the produced hydrogen sulfide, which may reduce iron oxides abiotically or co‐precipitate with dissolved iron as iron sulfides. Understanding why some environments develop ferruginous rather than euxinic conditions (or vice versa), as well as the attendant effects on methanogenic fermentation, is key to understanding both modern and ancient anoxic ecosystems. Here, we reproduce biogeochemical distributions in multiple anoxic, low‐sulfate, meromictic lakes around the world using a biomass‐explicit reaction‐transport model with a fixed set of metabolism‐specific microbial parameters. The results suggest that sulfate reduction and methanogenesis are ubiquitous even in iron‐rich systems, and are reflected in microbial surveys. Ferruginous conditions typically develop for surface sulfate concentrations below ≃100 μM. Interestingly, there seems to be a dearth of stably stratified water bodies where sulfate concentrations can persist in the medium‐sulfate range of several hundred μM. Rather, when sulfur burial into the sediments becomes iron limited, sulfate tends to accumulate in the water column to much higher (mM) concentrations. A similar mechanism could be suggested to have operated in the variably sulfidic and ferruginous water columns of early oceans. Model simulations also reveal the previously underappreciated role of physical transport in shaping biogeochemical distributions, as minor variations in mixing rates can lead to large variations in microbial abundances. Model applicability across multiple lakes points to an encouraging possibility that geochemical patterns in complex biogeochemical systems may be described from a small number of thermodynamic and kinetic principles using a minimum of fitting parameters.Keywords
Funding Information
- National Science Foundation (1754061, 1660873)
- University of Minnesota Duluth
This publication has 66 references indexed in Scilit:
- Microbial catabolic activities are naturally selected by metabolic energy harvest rateThe ISME Journal, 2015
- CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomesGenome Research, 2015
- MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graphBioinformatics, 2015
- Sulfate was a trace constituent of Archean seawaterScience, 2014
- Binning metagenomic contigs by coverage and compositionNature Methods, 2014
- Development of a Dual-Index Sequencing Strategy and Curation Pipeline for Analyzing Amplicon Sequence Data on the MiSeq Illumina Sequencing PlatformApplied and Environmental Microbiology, 2013
- The SILVA ribosomal RNA gene database project: improved data processing and web-based toolsNucleic Acids Research, 2012
- Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial CommunitiesApplied and Environmental Microbiology, 2009
- Photoferrotrophs thrive in an Archean Ocean analogueProceedings of the National Academy of Sciences, 2008
- Effect of sulfate and nitrate on acetate conversion by anaerobic microorganisms in a freshwater sedimentFEMS Microbiology Ecology, 2002