Evidence map›Paper›PMID 38744842›Full record

ArticleNature communications2024

Proteome partitioning constraints in long-term laboratory evolution.

Matteo Mori, Vadim Patsalo, Christian Euler, James R Williamson, Matthew Scott

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Matteo MoriDepartment of Physics, University of California at San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-6263-8021
Vadim PatsaloDepartment of Integrative Structural and Computational Biology, The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-6047-5858
Christian EulerDepartment of Chemical Engineering, University of Waterloo, Waterloo, ON, Canada.
James R WilliamsonDepartment of Integrative Structural and Computational Biology, The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-8772-468X
Matthew ScottWaterloo Centre for Microbial Research and the Department of Applied Mathematics, University of Waterloo, Waterloo, ON, Canada. mscott@uwaterloo.ca.ORCID http://orcid.org/0000-0001-9919-9029

Funding

Dynamics of the Bacterial Ribosome and Proteome (Equipment Supplement)R35GM136412 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI James R Williamson · 2020 to 2026
$4.9M
Quantitative Systemic Studies of Bacterial PhysiologyR35GM152133 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TERENCE HWA · 2024 to 2026
$1.8M
Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) 2024-04038NIGMS NIH HHS R35 GM136412NIGMS NIH HHS R35 GM152133U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35GM136412U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35GM152133
6 · The paper itself

Abstract

Adaptive laboratory evolution experiments provide a controlled context in which the dynamics of selection and adaptation can be followed in real-time at the single-nucleotide level. And yet this precision introduces hundreds of degrees-of-freedom as genetic changes accrue in parallel lineages over generations. On short timescales, physiological constraints have been leveraged to provide a coarse-grained view of bacterial gene expression characterized by a small set of phenomenological parameters. Here, we ask whether this same framework, operating at a level between genotype and fitness, informs physiological changes that occur on evolutionary timescales. Using a strain adapted to growth in glucose minimal medium, we find that the proteome is substantially remodeled over 40 000 generations. The most striking change is an apparent increase in enzyme efficiency, particularly in the enzymes of lower-glycolysis. We propose that deletion of metabolic flux-sensing regulation early in the adaptation results in increased enzyme saturation and can account for the observed proteome remodeling.

Indexed as

Escherichia coliProteomeAdaptation, PhysiologicalDirected Molecular EvolutionEscherichia coli ProteinsGene Expression Regulation, BacterialGlucoseGlycolysisEscherichia coli ProteinsGlucoseProteome

Identifiers

PMID38744842
PMCPMC11094134

What OpenQuestion holds

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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 OpenQuestion graph.