Literature DB >> 17490688

Effect of DNA looping on the induction kinetics of the lac operon.

Atul Narang1.   

Abstract

The induction of the lac operon follows cooperative kinetics. The first mechanistic model of these kinetics is the de facto standard in the modeling literature [Yagil, G., Yagil, E., 1971. On the relation between effector concentration and the rate of induced enzyme synthesis. Biophys. J. 11, 11-17]. Yet, subsequent studies have shown that the model is based on incorrect assumptions. Specifically, the repressor is a tetramer with four (not two) inducer-binding sites, and the operon contains two auxiliary operators (in addition to the main operator). Furthermore, these structural features are crucial for the formation of DNA loops, the key determinants of lac repression and induction. Indeed, the repression is determined almost entirely (>95%) by the looped complexes [Oehler, S., Eismann, E.R., Krämer, H., Müller-Hill, B., 1990. The three operators of the lac operon cooperate in repression. EMBO J. 9(4), 973-979], and the pronounced cooperativity of the induction curve hinges upon the existence of the looped complexes [Oehler, S., Alberti, S., Müller-Hill, B., 2006. Induction of the lac promoter in the absence of DNA loops and the stoichiometry of induction. Nucleic Acids Res. 34(2), 606-612]. Here, we formulate a model of lac induction taking due account of the tetrameric structure of the repressor and the existence of looped complexes. We show that: (1) The kinetics are significantly more cooperative than those predicted by the Yagil and Yagil model. The cooperativity is higher because the formation of looped complexes is easily abolished by repressor-inducer binding. (2) The model provides good fits to the repression data for cells containing wild-type tetrameric or mutant dimeric repressor, as well as the induction curves for 6 different strains of Escherichia coli. It also implies that the ratios of certain looped and non-looped complexes are independent of inducer and repressor levels, a conclusion that can be rigorously tested by gel electrophoresis. (3) Repressor overexpression dramatically increases the cooperativity of the induction curve. This suggests that repressor overexpression can induce bistability in systems, such as growth of E. coli on lactose, that are otherwise monostable.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17490688     DOI: 10.1016/j.jtbi.2007.03.030

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  13 in total

1.  Bistable behavior in a model of the lac operon in Escherichia coli with variable growth rate.

Authors:  M Santillán
Journal:  Biophys J       Date:  2007-12-07       Impact factor: 4.033

2.  Comparison of deterministic and stochastic models of the lac operon genetic network.

Authors:  Michail Stamatakis; Nikos V Mantzaris
Journal:  Biophys J       Date:  2009-02       Impact factor: 4.033

Review 3.  Systems biophysics of gene expression.

Authors:  Jose M G Vilar; Leonor Saiz
Journal:  Biophys J       Date:  2013-06-18       Impact factor: 4.033

Review 4.  Quantitative approaches to the study of bistability in the lac operon of Escherichia coli.

Authors:  Moisés Santillán; Michael C Mackey
Journal:  J R Soc Interface       Date:  2008-08-06       Impact factor: 4.118

5.  Bistability and Nonmonotonic Induction of the lac Operon in the Natural Lactose Uptake System.

Authors:  Dominique Zander; Daniel Samaga; Ronny Straube; Katja Bettenbrock
Journal:  Biophys J       Date:  2017-05-09       Impact factor: 4.033

6.  Robust dynamical pattern formation from a multifunctional minimal genetic circuit.

Authors:  Guillermo Rodrigo; Javier Carrera; Santiago F Elena; Alfonso Jaramillo
Journal:  BMC Syst Biol       Date:  2010-04-22

7.  Bistable behavior of the lac operon in E. coli when induced with a mixture of lactose and TMG.

Authors:  Orlando Díaz-Hernández; Moisés Santillán
Journal:  Front Physiol       Date:  2010-07-19       Impact factor: 4.566

8.  Noise contributions in an inducible genetic switch: a whole-cell simulation study.

Authors:  Elijah Roberts; Andrew Magis; Julio O Ortiz; Wolfgang Baumeister; Zaida Luthey-Schulten
Journal:  PLoS Comput Biol       Date:  2011-03-10       Impact factor: 4.475

9.  Deterministic and stochastic population-level simulations of an artificial lac operon genetic network.

Authors:  Michail Stamatakis; Kyriacos Zygourakis
Journal:  BMC Bioinformatics       Date:  2011-07-26       Impact factor: 3.169

10.  Direct measurements of IPTG enable analysis of the induction behavior of E. coli in high cell density cultures.

Authors:  Alfred Fernández-Castané; Glòria Caminal; Josep López-Santín
Journal:  Microb Cell Fact       Date:  2012-05-09       Impact factor: 5.328

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.