Evidence map›Paper›PMID 39477942›Full record

ArticleNature communications2024

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

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. A cold-responsiveApplied and environmental microbiology · 2026
    Article
  2. Article
  3. The cycle of infectious fever - how it affects bacterial infections.Frontiers in cellular and infection microbiology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Homeostatic regulation of intrinsic lipid curvature in eukaryotic cells.bioRxiv : the preprint server for biology · 2025
    Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Loles Hoogerland *Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands.ORCID 0009-0000-7338-252X
Stefan Pieter Hendrik van den Berg *Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands.ORCID 0009-0004-2181-094X
Yixing Suo *Department of Chemistry and Biochemistry, University of California, San Diego, CA, USA.ORCID 0000-0003-4356-0684
Yuta W Moriuchi *Department of Chemistry and Biochemistry, University of California, San Diego, CA, USA.ORCID 0000-0002-8797-8014
Adja Zoumaro-DjayoonDepartment of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands.ORCID 0000-0002-5735-3611
Esther GeurkenDepartment of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands.
Flora YangDepartment of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands.
Frank BruggemanSystems Biology Lab, AIMMS/ALIFE, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-0255-4766
Michael D BurkartDepartment of Chemistry and Biochemistry, University of California, San Diego, CA, USA.ORCID 0000-0002-4472-2254
Gregory BokinskyDepartment of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands. g.e.bokinsky@tudelft.nl.ORCID 0000-0002-7256-4492

Funding

Protein-Protein Interactions in Natural Product BiosynthesisR01GM095970 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BURKART, MICHAEL D. · 2012 to 2025
$5.9M
Human mitochondrial ACP interactionsR21AG073807 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BURKART, MICHAEL D. · 2021 to 2022
$435k
NIA NIH HHS R21 AG073807NIGMS NIH HHS R01 GM095970
6 · The paper itself

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.

Indexed as

Escherichia coliEscherichia coli ProteinsMembrane FluidityTemperatureAdaptation, PhysiologicalCell MembraneFatty AcidsFeedback, PhysiologicalGene Expression Regulation, BacterialPhospholipidsTranscription, GeneticEscherichia coli ProteinsFatty AcidsPhospholipids

Identifiers

PMID39477942
PMCPMC11525553

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.