Evidence map›Paper›PMID 34928547›Full record

ArticleMolecular systems biology2021

Suboptimal resource allocation in changing environments constrains response and growth in bacteria.

Rohan Balakrishnan, Roshali T de Silva, Terence Hwa, Jonas Cremer

Abstract read
In one paragraph

Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Sodium ion stress accelerates cell lysis inApplied and environmental microbiology · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. How DoesACS synthetic biology · 2024
    Article
  19. Article
  20. Microbial life in slow and stopped lanes.Trends in microbiology · 2024
    Review
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

4 authors.

Rohan BalakrishnanDepartment of Physics, University of California at San Diego, La Jolla, CA, USA.ORCID 0000-0002-7547-8565
Roshali T de SilvaDepartment of Biology, Stanford University, Stanford, CA, USA.
Terence HwaDepartment of Physics, University of California at San Diego, La Jolla, CA, USA.ORCID 0000-0003-1837-6842
Jonas CremerDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID 0000-0003-2328-5152

Funding

Quantitative Studies of Bacterial Growth PhysiologyR01GM095903 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HWA, TERENCE · 2011 to 2023
$3.8M
Quantitative Studies of Metabolic Switches in enteric bacteriaR01GM109069 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HWA, TERENCE · 2014 to 2022
$3.0M
NIGMS NIH HHS R01 GM095903NIGMS NIH HHS R01 GM109069
6 · The paper itself

Abstract

To respond to fluctuating conditions, microbes typically need to synthesize novel proteins. As this synthesis relies on sufficient biosynthetic precursors, microbes must devise effective response strategies to manage depleting precursors. To better understand these strategies, we investigate the active response of Escherichia coli to changes in nutrient conditions, connecting transient gene expression to growth phenotypes. By synthetically modifying gene expression during changing conditions, we show how the competition by genes for the limited protein synthesis capacity constrains cellular response. Despite this constraint cells substantially express genes that are not required, trapping them in states where precursor levels are low and the genes needed to replenish the precursors are outcompeted. Contrary to common modeling assumptions, our findings highlight that cells do not optimize growth under changing environments but rather exhibit hardwired response strategies that may have evolved to promote fitness in their native environment. The constraint and the suboptimality of the cellular response uncovered provide a conceptual framework relevant for many research applications, from the prediction of evolution to the improvement of gene circuits in biotechnology.

Indexed as

BacteriaEscherichia coliPhenotypeResource Allocationcellular responsediauxieenvironmental changesgrowth optimalityresource allocation

Identifiers

PMID34928547
PMCPMC8687047

What OpenQuestion 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 OpenQuestion graph.