Literature DB >> 33046652

Filtering input fluctuations in intensity and in time underlies stochastic transcriptional pulses without feedback.

Alberto Stefano Sassi1, Mayra Garcia-Alcala2,3,4, Mark J Kim2, Philippe Cluzel2, Yuhai Tu5.   

Abstract

Stochastic pulsatile dynamics have been observed in an increasing number of biological circuits with known mechanism involving feedback control and bistability. Surprisingly, recent single-cell experiments in Escherichia coli flagellar synthesis showed that flagellar genes are activated in stochastic pulses without the means of feedback. However, the mechanism for pulse generation in these feedbackless circuits has remained unclear. Here, by developing a system-level stochastic model constrained by a large set of single-cell E. coli flagellar synthesis data from different strains and mutants, we identify the general underlying design principles for generating stochastic transcriptional pulses without feedback. Our study shows that an inhibitor (YdiV) of the transcription factor (FlhDC) creates a monotonic ultrasensitive switch that serves as a digital filter to eliminate small-amplitude FlhDC fluctuations. Furthermore, we find that the high-frequency (fast) fluctuations of FlhDC are filtered out by integration over a timescale longer than the timescale of the input fluctuations. Together, our results reveal a filter-and-integrate design for generating stochastic pulses without feedback. This filter-and-integrate mechanism enables a general strategy for cells to avoid premature activation of the expensive downstream gene expression by filtering input fluctuations in both intensity and time so that the system only responds to input signals that are both strong and persistent.

Entities:  

Keywords:  filtering; gene regulation; stochastic modeling; transcriptional pulses; ultrasensitivity

Mesh:

Substances:

Year:  2020        PMID: 33046652      PMCID: PMC7604450          DOI: 10.1073/pnas.2010849117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  42 in total

1.  Robust growth of Escherichia coli.

Authors:  Ping Wang; Lydia Robert; James Pelletier; Wei Lien Dang; Francois Taddei; Andrew Wright; Suckjoon Jun
Journal:  Curr Biol       Date:  2010-05-27       Impact factor: 10.834

2.  Differential regulation of multiple overlapping promoters in flagellar class II operons in Escherichia coli.

Authors:  X Liu; P Matsumura
Journal:  Mol Microbiol       Date:  1996-08       Impact factor: 3.501

3.  Self-Amplifying Pulsatile Protein Dynamics without Positive Feedback.

Authors:  Rosa Martinez-Corral; Elba Raimundez; Yihan Lin; Michael B Elowitz; Jordi Garcia-Ojalvo
Journal:  Cell Syst       Date:  2018-10-10       Impact factor: 10.304

4.  FliT selectively enhances proteolysis of FlhC subunit in FlhD4C2 complex by an ATP-dependent protease, ClpXP.

Authors:  Yoshiharu Sato; Akiko Takaya; Chakib Mouslim; Kelly T Hughes; Tomoko Yamamoto
Journal:  J Biol Chem       Date:  2014-10-02       Impact factor: 5.157

Review 5.  Coupling of flagellar gene expression to flagellar assembly in Salmonella enterica serovar typhimurium and Escherichia coli.

Authors:  G S Chilcott; K T Hughes
Journal:  Microbiol Mol Biol Rev       Date:  2000-12       Impact factor: 11.056

6.  Systematic Nomenclature for GGDEF and EAL Domain-Containing Cyclic Di-GMP Turnover Proteins of Escherichia coli.

Authors:  Regine Hengge; Michael Y Galperin; Jean-Marc Ghigo; Mark Gomelsky; Jeffrey Green; Kelly T Hughes; Urs Jenal; Paolo Landini
Journal:  J Bacteriol       Date:  2015-07-06       Impact factor: 3.490

7.  Stochastic pulse regulation in bacterial stress response.

Authors:  James C W Locke; Jonathan W Young; Michelle Fontes; María Jesús Hernández Jiménez; Michael B Elowitz
Journal:  Science       Date:  2011-10-06       Impact factor: 47.728

Review 8.  Transcriptional selectors, masters, and combinatorial codes: regulatory principles of neural subtype specification.

Authors:  Douglas W Allan; Stefan Thor
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2015-04-08       Impact factor: 5.814

9.  Driving the expression of the Salmonella enterica sv Typhimurium flagellum using flhDC from Escherichia coli results in key regulatory and cellular differences.

Authors:  Ayman Albanna; Martin Sim; Paul A Hoskisson; Colin Gillespie; Christopher V Rao; Phillip D Aldridge
Journal:  Sci Rep       Date:  2018-11-12       Impact factor: 4.379

10.  Regulation of Flagellum Biosynthesis in Response to Cell Envelope Stress in Salmonella enterica Serovar Typhimurium.

Authors:  Imke Spöring; Sebastian Felgner; Matthias Preuße; Denitsa Eckweiler; Manfred Rohde; Susanne Häussler; Siegfried Weiss; Marc Erhardt
Journal:  MBio       Date:  2018-05-01       Impact factor: 7.867

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  1 in total

1.  Protein concentration fluctuations in the high expression regime: Taylor's law and its mechanistic origin.

Authors:  Alberto Stefano Sassi; Mayra Garcia-Alcala; Maximino Aldana; Yuhai Tu
Journal:  Phys Rev X       Date:  2022-03-17       Impact factor: 14.417

  1 in total

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