Temperature-Dependent Model of Multi-step Transcription Initiation in Escherichia coli Based on Live Single-Cell Measurements
Transcription kinetics is limited by its initiation steps, which differ between promoters and with intra- and extracellular conditions. Regulation of these steps allows tuning both the rate and stochasticity of RNA production. We used time-lapse, single-RNA microscopy measurements in live Escherichi...
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description | Transcription kinetics is limited by its initiation steps, which differ between promoters and with intra- and extracellular conditions. Regulation of these steps allows tuning both the rate and stochasticity of RNA production. We used time-lapse, single-RNA microscopy measurements in live Escherichia coli to study how the rate-limiting steps in initiation of the Plac/ara-1 promoter change with temperature and induction scheme. For this, we compared detailed stochastic models fit to the empirical data in maximum likelihood sense using statistical methods. Using this analysis, we found that temperature affects the rate limiting steps unequally, as nonlinear changes in the closed complex formation suffice to explain the differences in transcription dynamics between conditions. Meanwhile, a similar analysis of the PtetA promoter revealed that it has a different rate limiting step configuration, with temperature regulating different steps. Finally, we used the derived models to explore a possible cause for why the identified steps are preferred as the main cause for behavior modifications with temperature: we find that transcription dynamics is either insensitive or responds reciprocally to changes in the other steps. Our results suggests that different promoters employ different rate limiting step patterns that control not only their rate and variability, but also their sensitivity to environmental changes. |
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Regulation of these steps allows tuning both the rate and stochasticity of RNA production. We used time-lapse, single-RNA microscopy measurements in live Escherichia coli to study how the rate-limiting steps in initiation of the Plac/ara-1 promoter change with temperature and induction scheme. For this, we compared detailed stochastic models fit to the empirical data in maximum likelihood sense using statistical methods. Using this analysis, we found that temperature affects the rate limiting steps unequally, as nonlinear changes in the closed complex formation suffice to explain the differences in transcription dynamics between conditions. Meanwhile, a similar analysis of the PtetA promoter revealed that it has a different rate limiting step configuration, with temperature regulating different steps. Finally, we used the derived models to explore a possible cause for why the identified steps are preferred as the main cause for behavior modifications with temperature: we find that transcription dynamics is either insensitive or responds reciprocally to changes in the other steps. Our results suggests that different promoters employ different rate limiting step patterns that control not only their rate and variability, but also their sensitivity to environmental changes.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1005174</identifier><identifier>PMID: 27792724</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and life sciences ; Colleges & universities ; Computer Simulation ; E coli ; Escherichia coli ; Escherichia coli - physiology ; Escherichia coli Proteins - metabolism ; Funding ; Gene expression ; Genetic aspects ; Genetic transcription ; Laboratories ; Medicine and Health Sciences ; Models, Biological ; Models, Statistical ; Monte Carlo simulation ; Observations ; Physical Sciences ; Promoter Regions, Genetic - physiology ; Research and Analysis Methods ; Signal processing ; Standard deviation ; Temperature ; Transcription Initiation Site - physiology ; Transcription, Genetic - physiology ; Transcriptional Activation - physiology</subject><ispartof>PLoS computational biology, 2016-10, Vol.12 (10), p.e1005174-e1005174</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Based on Live Single-Cell Measurements. PLoS Comput Biol 12(10): e1005174. doi:10.1371/journal.pcbi.1005174</rights><rights>2016 Oliveira et al 2016 Oliveira et al</rights><rights>2016 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Based on Live Single-Cell Measurements. 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Regulation of these steps allows tuning both the rate and stochasticity of RNA production. We used time-lapse, single-RNA microscopy measurements in live Escherichia coli to study how the rate-limiting steps in initiation of the Plac/ara-1 promoter change with temperature and induction scheme. For this, we compared detailed stochastic models fit to the empirical data in maximum likelihood sense using statistical methods. Using this analysis, we found that temperature affects the rate limiting steps unequally, as nonlinear changes in the closed complex formation suffice to explain the differences in transcription dynamics between conditions. Meanwhile, a similar analysis of the PtetA promoter revealed that it has a different rate limiting step configuration, with temperature regulating different steps. Finally, we used the derived models to explore a possible cause for why the identified steps are preferred as the main cause for behavior modifications with temperature: we find that transcription dynamics is either insensitive or responds reciprocally to changes in the other steps. Our results suggests that different promoters employ different rate limiting step patterns that control not only their rate and variability, but also their sensitivity to environmental changes.</description><subject>Biology and life sciences</subject><subject>Colleges & universities</subject><subject>Computer Simulation</subject><subject>E coli</subject><subject>Escherichia coli</subject><subject>Escherichia coli - physiology</subject><subject>Escherichia coli Proteins - metabolism</subject><subject>Funding</subject><subject>Gene expression</subject><subject>Genetic aspects</subject><subject>Genetic transcription</subject><subject>Laboratories</subject><subject>Medicine and Health Sciences</subject><subject>Models, Biological</subject><subject>Models, Statistical</subject><subject>Monte Carlo simulation</subject><subject>Observations</subject><subject>Physical Sciences</subject><subject>Promoter Regions, Genetic - physiology</subject><subject>Research and Analysis Methods</subject><subject>Signal processing</subject><subject>Standard deviation</subject><subject>Temperature</subject><subject>Transcription Initiation Site - 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Academic</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS computational biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oliveira, Samuel M D</au><au>Häkkinen, Antti</au><au>Lloyd-Price, Jason</au><au>Tran, Huy</au><au>Kandavalli, Vinodh</au><au>Ribeiro, Andre S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Temperature-Dependent Model of Multi-step Transcription Initiation in Escherichia coli Based on Live Single-Cell Measurements</atitle><jtitle>PLoS computational biology</jtitle><addtitle>PLoS Comput Biol</addtitle><date>2016-10-01</date><risdate>2016</risdate><volume>12</volume><issue>10</issue><spage>e1005174</spage><epage>e1005174</epage><pages>e1005174-e1005174</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>Transcription kinetics is limited by its initiation steps, which differ between promoters and with intra- and extracellular conditions. Regulation of these steps allows tuning both the rate and stochasticity of RNA production. We used time-lapse, single-RNA microscopy measurements in live Escherichia coli to study how the rate-limiting steps in initiation of the Plac/ara-1 promoter change with temperature and induction scheme. For this, we compared detailed stochastic models fit to the empirical data in maximum likelihood sense using statistical methods. Using this analysis, we found that temperature affects the rate limiting steps unequally, as nonlinear changes in the closed complex formation suffice to explain the differences in transcription dynamics between conditions. Meanwhile, a similar analysis of the PtetA promoter revealed that it has a different rate limiting step configuration, with temperature regulating different steps. Finally, we used the derived models to explore a possible cause for why the identified steps are preferred as the main cause for behavior modifications with temperature: we find that transcription dynamics is either insensitive or responds reciprocally to changes in the other steps. Our results suggests that different promoters employ different rate limiting step patterns that control not only their rate and variability, but also their sensitivity to environmental changes.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27792724</pmid><doi>10.1371/journal.pcbi.1005174</doi><orcidid>https://orcid.org/0000-0001-8788-9399</orcidid><orcidid>https://orcid.org/0000-0002-6914-5529</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biology and life sciences Colleges & universities Computer Simulation E coli Escherichia coli Escherichia coli - physiology Escherichia coli Proteins - metabolism Funding Gene expression Genetic aspects Genetic transcription Laboratories Medicine and Health Sciences Models, Biological Models, Statistical Monte Carlo simulation Observations Physical Sciences Promoter Regions, Genetic - physiology Research and Analysis Methods Signal processing Standard deviation Temperature Transcription Initiation Site - physiology Transcription, Genetic - physiology Transcriptional Activation - physiology |
title | Temperature-Dependent Model of Multi-step Transcription Initiation in Escherichia coli Based on Live Single-Cell Measurements |
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