Evidence map›Paper›PMID 24204322›Full record

ArticlePLoS genetics2013

Evolutionary tuning of protein expression levels of a positively autoregulated two-component system.

Rong Gao, Ann M Stock

Abstract read
In one paragraph

Article in PLoS genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Analysis of stress-induced small proteins inbioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Principles of Computation by Competitive Protein Dimerization Networks.bioRxiv : the preprint server for biology · 2024
    Article
  5. Chemical Reaction Models in Synthetic Promoter Design in Bacteria.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Frontiers in genetics · 2021
    Article
  12. Article
  13. Control of theEcoSal Plus · 2019
    Review
  14. Article
  15. Article
  16. CaJournal of bacteriology · 2018
    Article
  17. Article
  18. Learning from Adversity?Journal of bacteriology · 2017
    Article
  19. Article
  20. 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

2 authors.

Rong GaoCenter for Advanced Biotechnology and Medicine, Department of Biochemistry and Molecular Biology, Rutgers University - Robert Wood Johnson Medical School, Piscataway, New Jersey, United States of America.
Ann M Stock

Funding

Structure and Function of Response Regulator ProteinsR37GM047958 · NIGMS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI STOCK, ANN M. · 2003 to 2013
$3.4M
STRUCTURE/FUNCTION OF RESPONSE REGULATOR PROTEINSR01GM047958 · NIGMS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI STOCK, ANN M. · 1992 to 2017
$2.3M
NIGMS NIH HHS R01 GM047958NIGMS NIH HHS R37 GM047958NIGMS NIH HHS R37GM047958
6 · The paper itself

Abstract

Cellular adaptation relies on the development of proper regulatory schemes for accurate control of gene expression levels in response to environmental cues. Over- or under-expression can lead to diminished cell fitness due to increased costs or insufficient benefits. Positive autoregulation is a common regulatory scheme that controls protein expression levels and gives rise to essential features in diverse signaling systems, yet its roles in cell fitness are less understood. It remains largely unknown how much protein expression is 'appropriate' for optimal cell fitness under specific extracellular conditions and how the dynamic environment shapes the regulatory scheme to reach appropriate expression levels. Here, we investigate the correlation of cell fitness and output response with protein expression levels of the E. coli PhoB/PhoR two-component system (TCS). In response to phosphate (Pi)-depletion, the PhoB/PhoR system activates genes involved in phosphorus assimilation as well as genes encoding themselves, similarly to many other positively autoregulated TCSs. We developed a bacteria competition assay in continuous cultures and discovered that different Pi conditions have conflicting requirements of protein expression levels for optimal cell fitness. Pi-replete conditions favored cells with low levels of PhoB/PhoR while Pi-deplete conditions selected for cells with high levels of PhoB/PhoR. These two levels matched PhoB/PhoR concentrations achieved via positive autoregulation in wild-type cells under Pi-replete and -deplete conditions, respectively. The fitness optimum correlates with the wild-type expression level, above which the phosphorylation output saturates, thus further increase in expression presumably provides no additional benefits. Laboratory evolution experiments further indicate that cells with non-ideal protein levels can evolve toward the optimal levels with diverse mutational strategies. Our results suggest that the natural protein expression levels and feedback regulatory schemes of TCSs are evolved to match the phosphorylation output of the system, which is determined by intrinsic activities of TCS proteins.

Indexed as

Genetic FitnessBacterial ProteinsDirected Molecular EvolutionEscherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialHomeostasisMetabolic Networks and PathwaysPhosphatesProteomicsTranscription FactorsBacterial ProteinsEscherichia coli ProteinsPhoB protein, E coliPhoR protein, BacteriaPhosphatesTranscription Factors

Identifiers

PMID24204322
PMCPMC3812086

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.