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A temperature-sensitive metabolic valve and a transcriptional feedback loop drive rapid homeoviscous adaptation in Escherichia coli

  • Loles Hoogerland
  • , Stefan Pieter Hendrik van den Berg
  • , Yixing Suo
  • , Yuta W. Moriuchi
  • , Adja Zoumaro-Djayoon
  • , Esther Geurken
  • , Flora Yang
  • , Frank Bruggeman
  • , Michael D. Burkart
  • , Gregory Bokinsky

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

All free-living microorganisms homeostatically maintain the fluidity of their membranes by adapting lipid composition to environmental temperatures. Here, we quantify enzymes and metabolic intermediates of the Escherichia coli fatty acid and phospholipid synthesis pathways, to describe how this organism measures temperature and restores optimal membrane fluidity within a single generation after a temperature shock. A first element of this regulatory system is a temperature-sensitive metabolic valve that allocates flux between the saturated and unsaturated fatty acid synthesis pathways via the branchpoint enzymes FabI and FabB. A second element is a transcription-based negative feedback loop that counteracts the temperature-sensitive valve. The combination of these elements accelerates membrane adaptation by causing a transient overshoot in the synthesis of saturated or unsaturated fatty acids following temperature shocks. This strategy is comparable to increasing the temperature of a water bath by adding water that is excessively hot rather than adding water at the desired temperature. These properties are captured in a mathematical model, which we use to show how hard-wired parameters calibrate the system to generate membrane compositions that maintain constant fluidity across temperatures. We hypothesize that core features of the E. coli system will prove to be ubiquitous features of homeoviscous adaptation systems.

Original languageEnglish
Article number9386
Pages (from-to)1-13
Number of pages13
JournalNature Communications
Volume15
Early online date30 Oct 2024
DOIs
Publication statusPublished - 2024

Bibliographical note

Publisher Copyright:
© 2024. The Author(s).

Funding

We thank Leander Lutze, Professor Sarah L. Keller, and the Systems Biology Department at VU Amsterdam for insightful discussions. YS, YWM, and MB supported by NIH R01 GM095970 and R21 AG073807. Project supported by start-up funds to GB from the TU Delft Bionanoscience Department.

FundersFunder number
TU Delft Bionanoscience Department
National Institutes of HealthR01 GM095970, R21 AG073807
National Institutes of Health

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