Lipidomics and Comparative Metabolite Excretion Analysis of Methanogenic Archaea Reveal Organism-Specific Adaptations to Varying Temperatures and Substrate Concentrations

Author(s)
Ruth-Sophie Taubner, Lydia M F Baumann, Michael Steiner, Kevin Pfeifer, Barbara Reischl, Kordian Korynt, Thorsten Bauersachs, Barbara Mähnert, Elisabeth L Clifford, Jörn Peckmann, Bernhard Schuster, Daniel Birgel, Simon K-M R Rittmann
Abstract

Methanogenic archaea possess diverse metabolic characteristics and are an ecologically and biotechnologically important group of anaerobic microorganisms. Although the scientific and biotechnological value of methanogens is evident with regard to their methane-producing physiology, little is known about their amino acid excretion, and virtually nothing is known about the lipidome at different substrate concentrations and temperatures on a quantitative comparative basis. Here, we present the lipidome and a comprehensive quantitative analysis of proteinogenic amino acid excretion as well as methane, water, and biomass production of the three autotrophic, hydrogenotrophic methanogens Methanothermobacter marburgensis, Methanothermococcus okinawensis, and Methanocaldococcus villosus under varying temperatures and nutrient supplies. The patterns and rates of production of excreted amino acids and the lipidome are unique for each tested methanogen and can be modulated by varying the incubation temperature and substrate concentration, respectively. Furthermore, the temperature had a significant influence on the lipidomes of the different archaea. The water production rate was much higher, as anticipated from the rate of methane production for all studied methanogens. Our results demonstrate the need for quantitative comparative physiological studies connecting intracellular and extracellular constraints of organisms to holistically investigate microbial responses to environmental conditions.

Organisation(s)
Functional and Evolutionary Ecology, Department of Geology, Research Group Theory and Applications of Algorithms
External organisation(s)
University of Natural Resources and Life Sciences, Johannes Kepler Universität Linz, Österreichische Akademie der Wissenschaften (ÖAW), Universität Hamburg, Arkeon GmbH, Tulln a.d. Donau, Austria., Christian-Albrechts-Universität zu Kiel
Journal
mSystems
Volume
8
ISSN
2379-5077
DOI
https://doi.org/10.1128/msystems.01159-22
Publication date
03-2023
Peer reviewed
Yes
Austrian Fields of Science 2012
209006 Industrial biotechnology
Keywords
ASJC Scopus subject areas
Genetics, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Physiology, Biochemistry, Computer Science Applications, Microbiology, Modelling and Simulation
Portal url
https://ucrisportal.univie.ac.at/en/publications/4f232622-70fc-4087-bfa7-40fe63861840