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Published May 2024 | Published
Journal Article Open

Genetically dissecting the electron transport chain of a soil bacterium reveals a generalizable mechanism for biological phenazine-1-carboxylic acid oxidation

  • 1. ROR icon California Institute of Technology

Abstract

The capacity for bacterial extracellular electron transfer via secreted metabolites is widespread in natural, clinical, and industrial environments. Recently, we discovered the biological oxidation of phenazine-1-carboxylic acid (PCA), the first example of biological regeneration of a naturally produced extracellular electron shuttle. However, it remained unclear how PCA oxidation was catalyzed. Here, we report the mechanism, which we uncovered by genetically perturbing the branched electron transport chain (ETC) of the soil isolate Citrobacter portucalensis MBL. Biological PCA oxidation is coupled to anaerobic respiration with nitrate, fumarate, dimethyl sulfoxide, or trimethylamine-N-oxide as terminal electron acceptors. Genetically inactivating the catalytic subunits for all redundant complexes for a given terminal electron acceptor abolishes PCA oxidation. In the absence of quinones, PCA can still donate electrons to certain terminal reductases, albeit much less efficiently. In Cportucalensis MBL, PCA oxidation is largely driven by flux through the ETC, which suggests a generalizable mechanism that may be employed by any anaerobically respiring bacterium with an accessible cytoplasmic membrane. This model is supported by analogous genetic experiments during nitrate respiration by Pseudomonas aeruginosa.

Acknowledgement

We thank Steven Wilbert, John Ciemniecki, Chelsey VanDrisse, Georgia Squyres, Avi Flamholz, and Julian Wagner for helpful technical feedback and general support throughout this work. We thank Maxim Tsypin for pointing us to Efron and Tibshirani’s implementation of the bootstrapped hypothesis test.

Copyright and License

Copyright: © 2024 Tsypin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability

The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper, its Supporting Information files
and, as described in the Materials and Methods section, the entire dataset is available on the CaltechDATA repository, at the DOI https://doi.org/10.22002/tdng7-twd27. All data and code for analysis are available on GitHub (https://github.com/ltsypin/Cportucalensis_genetic_mech.

Funding

This work was supported by the NSF Graduate Research Fellowship to LMZT; by the NIH (1R01AI127850-01A1 to DKN) and by the Doren Family Foundation to DKN. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Conflict of Interest

The authors have declared that no competing interests exist.

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Additional details

Created:
August 12, 2024
Modified:
December 19, 2024