Login / Signup

An alternative resource allocation strategy in the chemolithoautotrophic archaeon Methanococcus maripaludis.

Albert L MüllerWenyi GuVadim PatsaloJoerg S DeutzmannJames R WilliamsonAlfred M Spormann
Published in: Proceedings of the National Academy of Sciences of the United States of America (2021)
Most microorganisms in nature spend the majority of time in a state of slow or zero growth and slow metabolism under limited energy or nutrient flux rather than growing at maximum rates. Yet, most of our knowledge has been derived from studies on fast-growing bacteria. Here, we systematically characterized the physiology of the methanogenic archaeon Methanococcus maripaludis during slow growth. M. maripaludis was grown in continuous culture under energy (formate)-limiting conditions at different dilution rates ranging from 0.09 to 0.002 h-1, the latter corresponding to 1% of its maximum growth rate under laboratory conditions (0.23 h-1). While the specific rate of methanogenesis correlated with growth rate as expected, the fraction of cellular energy used for maintenance increased and the maintenance energy per biomass decreased at slower growth. Notably, proteome allocation between catabolic and anabolic pathways was invariant with growth rate. Unexpectedly, cells maintained their maximum methanogenesis capacity over a wide range of growth rates, except for the lowest rates tested. Cell size, cellular DNA, RNA, and protein content as well as ribosome numbers also were largely invariant with growth rate. A reduced protein synthesis rate during slow growth was achieved by a reduction in ribosome activity rather than via the number of cellular ribosomes. Our data revealed a resource allocation strategy of a methanogenic archaeon during energy limitation that is fundamentally different from commonly studied versatile chemoheterotrophic bacteria such as E. coli.
Keyphrases
  • healthcare
  • stem cells
  • escherichia coli
  • small molecule
  • cell proliferation
  • mesenchymal stem cells
  • mass spectrometry
  • bone marrow
  • big data
  • circulating tumor cells
  • cell free