Evidence map›Paper›PMID 39531644›Full record

ArticleMolecular biology and evolution2024

Diversity of Transcriptional Regulatory Adaptation in E. coli.

Christopher Dalldorf, Ying Hefner, Richard Szubin, Josefin Johnsen, Elsayed Mohamed, Gaoyuan Li, Jayanth Krishnan, Adam M Feist, Bernhard O Palsson, Daniel C Zielinski

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Christopher DalldorfDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Ying HefnerDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Richard SzubinDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Josefin JohnsenNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kongens, Lyngby, Denmark.
Elsayed MohamedNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800 Kongens, Lyngby, Denmark.
Gaoyuan LiDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Jayanth KrishnanDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Adam M FeistDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.ORCID 0000-0002-8630-4800
Bernhard O PalssonDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.ORCID 0000-0003-2357-6785
Daniel C ZielinskiDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.ORCID 0000-0001-6452-483X

Funding

Center for BiosustainabilityTechnical University of Denmark NNF20CC0035580The Novo Nordisk Foundation
6 · The paper itself

Abstract

The transcriptional regulatory network (TRN) in bacteria is thought to rapidly evolve in response to selection pressures, modulating transcription factor (TF) activities and interactions. In order to probe the limits and mechanisms surrounding the short-term adaptability of the TRN, we generated, evolved, and characterized knockout (KO) strains in Escherichia coli for 11 regulators selected based on measured growth impact on glucose minimal media. All but one knockout strain (Δlrp) were able to recover growth and did so requiring few convergent mutations. We found that the TF knockout adaptations could be divided into four categories: (i) Strains (ΔargR, ΔbasR, Δlon, ΔzntR, and Δzur) that recovered growth without any regulator-specific adaptations, likely due to minimal activity of the regulator on the growth condition, (ii) Strains (ΔcytR, ΔmlrA, and ΔybaO) that recovered growth without TF-specific mutations but with differential expression of regulators with overlapping regulons to the KO'ed TF, (iii) Strains (Δcrp and Δfur) that recovered growth using convergent mutations within their regulatory networks, including regulated promoters and connected regulators, and (iv) Strains (Δlrp) that were unable to fully recover growth, seemingly due to the broad connectivity of the TF within the TRN. Analyzing growth capabilities in evolved and unevolved strains indicated that growth adaptation can restore fitness to diverse substrates often despite a lack of TF-specific mutations. This work reveals the breadth of TRN adaptive mechanisms and suggests these mechanisms can be anticipated based on the network and functional context of the perturbed TFs.

Indexed as

Escherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialGene Regulatory NetworksTranscription FactorsAdaptation, PhysiologicalGene Knockout TechniquesMutationTranscription, GeneticEscherichia coli ProteinsTranscription Factors

Identifiers

PMID39531644
PMCPMC11588850

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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.