Metabolic response of a chemolithoautotrophic archaeon to carbon limitation

Autor(en)

Logan H Hodgskiss, Melina Kerou, Zhen-Hao Luo, Barbara Bayer, Andreas Maier, Wolfram Weckwerth, Thomas Nägele, Christa Schleper

Abstrakt

The ubiquitously distributed ammonia-oxidizing archaea generate energy

from ammonia and build cell mass from inorganic carbon sources, thereby

contributing to both the global nitrogen and carbon cycles. However,

little is known about the regulation of their predicted core carbon

metabolism. A thermodynamic model for Nitrososphaera viennensis

was developed to estimate the consumption of inorganic carbon in

relation to ammonia consumed for energy and was tested experimentally by

growing cells in carbon-limited and excess conditions. A combined

proteomic and metabolomic approach to the experimental conditions

revealed distinct metabolic adaptation depending on the amount of carbon

supplied, either in a catalase or pyruvate background as a reactive

oxygen species scavenger. Integration of protein and metabolite dynamics

revealed a cellular strategy under carbon limitation to maintain a pool

of amino acids and an upregulation of proteins necessary for

translation initiation to stay primed for protein synthesis. The

combination of modeling and functional genomics fills gaps in the

understanding of the central metabolism and its regulation in a

chemolithoautotrophic, ammonia-oxidizing archaeon, even in the absence

of available genetic tools.

Organisation(en)

Department für Funktionelle und Evolutionäre Ökologie, Department für Mikrobiologie und Ökosystemforschung, Institut für Geographie und Regionalforschung

Externe Organisation(en)

Ludwig-Maximilians-Universität München

Journal

mSystems

Band

Seiten

1-20

Anzahl der Seiten

ISSN

2379-5077

DOI

https://doi.org/10.1128/msystems.00732-25

Publikationsdatum

10-2025

Peer-reviewed

ÖFOS 2012

106022 Mikrobiologie

Schlagwörter

ASJC Scopus Sachgebiete

Microbiology, Ecology, Evolution, Behavior and Systematics, Physiology, Biochemistry, Modelling and Simulation, Molecular Biology, Genetics, Computer Science Applications

Link zum Portal

https://ucrisportal.univie.ac.at/de/publications/ffdca77d-a702-47cb-9b2b-631011b6eb19