Microbial Metal Resistance and Metabolism Across Dynamic Landscapes: High-throughput Environmental Microbiology

Overview

Journal F1000Res

Specialties Biomedical Engineering
Science

Date 2017 Jul 20

PMID 28721211

Citations 7

Authors

Hans Carlson

Adam Deutschbauer

John Coates

Affiliations

Soon will be listed here.

Abstract

Multidimensional gradients of inorganic compounds influence microbial activity in diverse pristine and anthropogenically perturbed environments. Here, we suggest that high-throughput cultivation and genetics can be systematically applied to generate quantitative models linking gene function, microbial community activity, and geochemical parameters. Metal resistance determinants represent a uniquely universal set of parameters around which to study and evaluate microbial fitness because they represent a record of the environment in which all microbial life evolved. By cultivating microbial isolates and enrichments in laboratory gradients of inorganic ions, we can generate quantitative predictions of limits on microbial range in the environment, obtain more accurate gene annotations, and identify useful strategies for predicting and engineering the trajectory of natural ecosystems.

Citing Articles

Sulfate adenylyl transferase kinetics and mechanisms of metabolic inhibitors of microbial sulfate respiration.

Carlson H, Youngblut M, Redford S, Williamson A, Coates J ISME Commun. 2023; 1(1):67.

PMID: 37938298 PMC: 9723548. DOI: 10.1038/s43705-021-00069-1.

Integration of molecular and computational approaches paints a holistic portrait of obscure metabolisms.

Reyes-Umana V, Ewens S, Meier D, Coates J mBio. 2023; 14(6):e0043123.

PMID: 37855625 PMC: 10746228. DOI: 10.1128/mbio.00431-23.

Geochemical constraints on bacteriophage infectivity in terrestrial environments.

Carlson H, Piya D, Moore M, Magar R, Elisabeth N, Deutschbauer A ISME Commun. 2023; 3(1):78.

PMID: 37596312 PMC: 10439110. DOI: 10.1038/s43705-023-00297-7.

Targeting Persistent Biofilm Infections: Reconsidering the Topography of the Infection Site during Model Selection.

Kolodkin-Gal I, Cohen-Cymberknoh M, Zamir G, Tsesis I, Rosen E Microorganisms. 2022; 10(6).

PMID: 35744683 PMC: 9231179. DOI: 10.3390/microorganisms10061164.

Mechanism Across Scales: A Holistic Modeling Framework Integrating Laboratory and Field Studies for Microbial Ecology.

Lui L, Majumder E, Smith H, Carlson H, von Netzer F, Fields M Front Microbiol. 2021; 12:642422.

PMID: 33841364 PMC: 8024649. DOI: 10.3389/fmicb.2021.642422.

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