Trait‐based approach to bacterial growth efficiency

Abstract

Bacterial growth efficiency (BGE) is the proportion of assimilated carbon that is converted into biomass and reflects the balance between growth and energetic demands. Often measured as an aggregate property of the community, BGE is highly variable within and across ecosystems. To understand this variation, we first identified how species identity and resource type affect BGE using 20 bacterial isolates belonging to the phylum Proteobacteria that were enriched from north temperate lakes. Using a trait‐based approach that incorporated genomic and phenotypic information, we characterized the metabolism of each isolate and tested for predicted trade‐offs between growth rate and efficiency. A substantial amount of variation in BGE could be explained at broad (i.e., order, 20%) and fine (i.e., strain, 58%) taxonomic levels. While resource type was a relatively weak predictor across species, it explained >60% of the variation in BGE within a given species. A metabolic trade‐off (between maximum growth rate and efficiency) and genomic features revealed that BGE may be a species‐specific metabolic property. Our study suggests that genomic and phylogenetic information may help predict aggregate microbial community functions like BGE and the fate of carbon in ecosystems.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 28, 2020
Source ID
10.1111/1462-2920.15120

Entities

People

  • Jay T. Lennon
  • Mario E Muscarella
  • Xia Meng Howey

Organizations

  • Army Research Office
  • Indiana University
  • National Aeronautics and Space Administration
  • National Science Foundation
  • Université du Québec à Montréal

Tags

Fields of Study

  • Biology
  • Environmental science

Readers

  • Infectious Disease/Epidemiology
  • Marine Ecotoxicology
  • Molecular and genetic basis of cancer.

Technology Areas

  • Biotechnology