Environmental predictors of electroactive bacterioplankton in small boreal lakes
- PMID: 36529539
- DOI: 10.1111/1462-2920.16314
Environmental predictors of electroactive bacterioplankton in small boreal lakes
Abstract
Extracellular electron transfer (EET) by electroactive bacteria in anoxic soils and sediments is an intensively researched subject, but EET's function in planktonic ecology has been less considered. Following the discovery of an unexpectedly high prevalence of EET genes in a bog lake's bacterioplankton, we hypothesized that the redox capacities of dissolved organic matter (DOM) enrich for electroactive bacteria by mediating redox chemistry. We developed the bioinformatics pipeline FEET (Find EET) to identify and summarize predicted EET protein-encoding genes from metagenomics data. We then applied FEET to 36 bog and thermokarst lakes and correlated gene occurrence with environmental data to test our predictions. Our results provide indirect evidence that DOM may participate in bacterioplankton EET. We found a similarly high prevalence of genes encoding putative EET proteins in most of these lakes, where oxidative EET strongly correlated with DOM. Numerous novel clusters of multiheme cytochromes that may enable EET were identified. Taxa previously not considered EET-capable were found to carry EET genes. We propose that EET and DOM interactions are of ecologically important to bacterioplankton in small boreal lakes, and that EET, particularly by methylotrophs and anoxygenic phototrophs, should be further studied and incorporated into methane emission models of melting permafrost.
© 2022 The Authors. Environmental Microbiology published by Applied Microbiology International and John Wiley & Sons Ltd.
References
REFERENCES
-
- Aeschbacher, M., Vergari, D., Schwarzenbach, R.P. & Sander, M. (2011) Electrochemical analysis of proton and electron transfer equilibria of the reducible moieties in humic acids. Environmental Science & Technology, 45, 8385-8394. Available from: https://doi.org/10.1021/es201981g
-
- Badalamenti, J.P., Torres, C.I. & Krajmalnik-brown, R. (2014) Coupling dark metabolism to electricity generation using photosynthetic cocultures. Biotechnology and Bioengineering, 111, 223-231. Available from: https://doi.org/10.1002/bit.25011
-
- Badalamenti, J.P., Torres, I. & Krajmalnik-brown, R. (2013) Light-responsive current generation by phototrophically enriched anode biofilms dominated by green sulfur bacteria. Biotechnology and Bioengineering, 110, 1020-1027. Available from: https://doi.org/10.1002/bit.24779
-
- Bankevich, A., Nurk, S., Antipov, D., Gurevich, A.A., Dvorkin, M., Kulikov, A.S. et al. (2012) SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. Journal of Computational Biology, 19, 455-477. Available from: https://doi.org/10.1089/cmb.2012.0021
-
- Baum, L.E. & Petrie, T. (1966) Statistical inference for probabilistic functions of finite state Markov chains. Annals of Mathematical Statistics, 37, 1554-1563. Available from: https://doi.org/10.1214/aoms/1177699147
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