Diversity and metabolic energy in bacteria

Journal Article (2023)
Author(s)

Ben Allen (Newcastle University)

Rebeca Gonzalez-Cabaleiro (TU Delft - Applied Sciences)

Irina Dana Ofiteru (Newcastle University)

Lise Øvreås (University of Bergen)

William T. Sloan (University of Glasgow)

Donna Swan (Newcastle University)

Thomas Curtis (Newcastle University)

Research Group
BT/Environmental Biotechnology
DOI related publication
https://doi.org/10.1093/femsle/fnad043 Final published version
More Info
expand_more
Publication Year
2023
Language
English
Research Group
BT/Environmental Biotechnology
Journal title
FEMS Microbiology Letters
Volume number
370
Article number
fnad043
Downloads counter
238
Collections
Institutional Repository
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Why are some groups of bacteria more diverse than others? We hypothesize that the metabolic energy available to a bacterial functional group (a biogeochemical group or ‘guild’) has a role in such a group’s taxonomic diversity. We tested this hypothesis by looking at the metacommunity diversity of functional groups in multiple biomes. We observed a positive correlation between estimates of a functional group’s diversity and their metabolic energy yield. Moreover, the slope of that relationship was similar in all biomes. These findings could imply the existence of a universal mechanism controlling the diversity of all functional groups in all biomes in the same way. We consider a variety of possible explanations from the classical (environmental variation) to the ‘non-Darwinian’ (a drift barrier effect). Unfortunately, these explanations are not mutually exclusive, and a deeper understanding of the ultimate cause(s) of bacterial diversity will require us to determine if and how the key parameters in population genetics (effective population size, mutation rate, and selective gradients) vary between functional groups and with environmental conditions: this is a difficult task.