Evidence map›Paper›PMID 32379825›Full record

ArticlePloS one2020

Theoretical investigation of a genetic switch for metabolic adaptation.

Kathrin S Laxhuber, Muir J Morrison, Griffin Chure, Nathan M Belliveau, Charlotte Strandkvist, Kyle L Naughton, Rob Phillips

Abstract read
In one paragraph

Article in PloS one, 2020. 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

7 authors.

Kathrin S LaxhuberDepartment of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-8104-3525
Muir J MorrisonDepartment of Physics, California Institute of Technology, Pasadena, CA, United States of America.ORCID 0000-0002-0768-7234
Griffin ChureDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States of America.
Nathan M BelliveauHoward Hughes Medical Institute, University of Washington, Seattle, WA, United States of America.
Charlotte StrandkvistDepartment of Systems Biology, Harvard Medical School, Boston, MA, United States of America.
Kyle L NaughtonDepartment of Physics and Astronomy, University of Southern California, Los Angeles, CA, United States of America.
Rob PhillipsDepartment of Physics, California Institute of Technology, Pasadena, CA, United States of America.

Funding

The Principles of Regulatory, Conformational and Evolutionary AdaptationR35GM118043 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROB PHILLIPS · 2016 to 2026
$7.9M
NIGMS NIH HHS R35 GM118043
6 · The paper itself

Abstract

Membrane transporters carry key metabolites across the cell membrane and, from a resource standpoint, are hypothesized to be produced when necessary. The expression of membrane transporters in metabolic pathways is often upregulated by the transporter substrate. In E. coli, such systems include for example the lacY, araFGH, and xylFGH genes, which encode for lactose, arabinose, and xylose transporters, respectively. As a case study of a minimal system, we build a generalizable physical model of the xapABR genetic circuit, which features a regulatory feedback loop via membrane transport (positive feedback) and enzymatic degradation (negative feedback) of an inducer. Dynamical systems analysis and stochastic simulations show that the membrane transport makes the model system bistable in certain parameter regimes. Thus, it serves as a genetic "on-off" switch, enabling the cell to only produce a set of metabolic enzymes when the corresponding metabolite is present in large amounts. We find that the negative feedback from the degradation enzyme does not significantly disturb the positive feedback from the membrane transporter. We investigate hysteresis in the switching and discuss the role of cooperativity and multiple binding sites in the model circuit. Fundamentally, this work explores how a stable genetic switch for a set of enzymes is obtained from transcriptional auto-activation of a membrane transporter through its substrate.

Indexed as

Gene Regulatory NetworksGenes, SwitchModels, BiologicalAdaptation, PhysiologicalBinding SitesBiological TransportEscherichia coliEscherichia coli ProteinsFeedback, PhysiologicalGene Expression Regulation, BacterialMembrane Transport ProteinsPentosyltransferasesPromoter Regions, GeneticRibonucleosidesRNA, MessengerStochastic ProcessesEscherichia coli ProteinsMembrane Transport ProteinsPentosyltransferasesRibonucleosidesRNA, MessengerTrans-ActivatorsXanthinesxanthosinexanthosine phophorylase, E coliXapB protein, E coliXapR protein, E coli

Identifiers

PMID32379825
PMCPMC7205307

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Registered trials

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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.