ArticleNucleic acids research2020
A quantitative binding model for the Apl protein, the dual purpose recombination-directionality factor and lysis-lysogeny regulator of bacteriophage 186.
Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 6 citations in OpenAlex.
- Elucidating the role of mycobacteriophage D29-encoded Gp36 in DNA binding and phage gene expression regulation.Nucleic acids research · 2025Article
- Structural basis for control of integrative and conjugative element excision and transfer by the oligomeric winged helix-turn-helix protein RdfS.Nucleic acids research · 2025Article
- Autoregulation ensures vertical transmission of the linear prophage GIL01.Communications biology · 2024Article
- Phage-induced efflux down-regulation boosts antibiotic efficacy.PLoS pathogens · 2024Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
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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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