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      A quantitative binding model for the Apl protein, the dual purpose recombination-directionality factor and lysis-lysogeny regulator of bacteriophage 186

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      Nucleic Acids Research
      Oxford University Press

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          Abstract

          The Apl protein of bacteriophage 186 functions both as an excisionase and as a transcriptional regulator; binding to the phage attachment site ( att), and also between the major early phage promoters (pR-pL). Like other recombination directionality factors (RDFs), Apl binding sites are direct repeats spaced one DNA helix turn apart. Here, we use in vitro binding studies with purified Apl and pR-pL DNA to show that Apl binds to multiple sites with high cooperativity, bends the DNA and spreads from specific binding sites into adjacent non-specific DNA; features that are shared with other RDFs. By analysing Apl's repression of pR and pL, and the effect of operator mutants in vivo with a simple mathematical model, we were able to extract estimates of binding energies for single specific and non-specific sites and for Apl cooperativity, revealing that Apl monomers bind to DNA with low sequence specificity but with strong cooperativity between immediate neighbours. This model fit was then independently validated with in vitro data. The model we employed here is a simple but powerful tool that enabled better understanding of the balance between binding affinity and cooperativity required for RDF function. A modelling approach such as this is broadly applicable to other systems.

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          Improved single and multicopy lac-based cloning vectors for protein and operon fusions.

          We describe several new vectors for the construction of operon and protein fusions to the Escherichia coli lacZ gene. In vitro constructions utilize multicopy plasmids containing suitable cloning sites located between upstream transcription terminators and downstream lac operon segments whose lacZ genes retain or lack translational start signals. Single-copy lambda prophage versions of multicopy constructs can be made genetically, without in vitro manipulation. The new vectors, both single and multicopy, are improved in that they have very low levels of background lac gene expression, which makes possible the easy detection and accurate quantitation of very weak transcriptional and translational signals. These vectors were developed for analysis of the expression of IS10's transposase gene, which is transcribed less than, once per generation, and whose transcripts are translated on average less than once each. Both single and multicopy constructs can also be used to select mutations affecting fusion expression, and mutations isolated in single-copy constructs can be crossed genetically back onto multicopy plasmids for further analysis.
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            One-step cloning and chromosomal integration of DNA.

            We describe "clonetegration", a method for integrating DNA into prokaryotic chromosomes that approaches the simplicity of cloning DNA within extrachromosomal vectors. Compared to existing techniques, clonetegration drastically decreases the time and effort needed for integration of single or multiple DNA fragments. Additionally, clonetegration facilitates cloning and expression of genetic elements that are impossible to propagate within typical multicopy plasmids.
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              Quantitative model for gene regulation by lambda phage repressor.

              A statistical thermodynamic model has been developed to account for the cooperative interactions of the bacteriophage lambda repressor with the lambda right operator. The model incorporates a general theory for quantitatively interpreting cooperative site-specific equilibrium binding data. Values for all interaction parameters of the model have been evaluated at 37 degrees C, 0.2 M KCl, from results of DNase protection experiments in vitro [A. D. Johnson, B. J. Meyer, & M. Ptashne, Proc. Natl. Acad. Sci. USA (1979) 76, 5061-5065]. With these values, the model predicts repression curves at the divergent promoters PR and PRM that control transcription of genes coding for the regulatory proteins cro and repressor, respectively. At physiological repressor concentrations, repression at PR is predicted to be nearly complete whereas PRM is predicted to remain highly active. The results demonstrate the importance of cooperative interactions between repressor dimers bound to the adjacent operator sites OR1 and OR2 in maintaining a stable lysogenic state and in allowing efficient switchover to the lytic state during induction.
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                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                18 September 2020
                13 August 2020
                13 August 2020
                : 48
                : 16
                : 8914-8926
                Affiliations
                Department of Molecular and Biomedical Science, The University of Adelaide , Adelaide 5005, Australia
                Department of Molecular and Biomedical Science, The University of Adelaide , Adelaide 5005, Australia
                Department of Molecular and Biomedical Science, The University of Adelaide , Adelaide 5005, Australia
                Department of Molecular and Biomedical Science, The University of Adelaide , Adelaide 5005, Australia
                Author notes
                To whom correspondence should be addressed. Tel: +61 8313 5361; Fax: +61 8313 4348; Email: keith.shearwin@ 123456adelaide.edu.au
                Author information
                http://orcid.org/0000-0002-7736-2742
                Article
                gkaa655
                10.1093/nar/gkaa655
                7498355
                32789491
                c877d501-a6cb-4dab-ab38-556ed778438a
                © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 28 July 2020
                : 21 July 2020
                : 17 April 2020
                Page count
                Pages: 13
                Funding
                Funded by: Australian Research Council, DOI 10.13039/501100000923;
                Award ID: DP110100824
                Award ID: DP150103009
                Funded by: University of Adelaide, DOI 10.13039/501100001786;
                Award ID: 75125608
                Categories
                AcademicSubjects/SCI00010
                Narese/16
                Narese/24
                Computational Biology

                Genetics
                Genetics

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