Mechanisms of Interaction between DNA and Chemical Analogues of Microbial Anabiosis Autoinducers

Author: Davydova O.   Deryabin D.   Nikiyan A.   El'-Registan G.  

Publisher: MAIK Nauka/Interperiodica

ISSN: 0026-2617

Source: Microbiology, Vol.74, Iss.5, 2005-09, pp. : 533-541

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Abstract

The alkylhydroxybenzene (AHB) autoregulatory factors d 1 (fd 1) of microorganisms have been found to directly interact with highly polymeric DNA. This circumstance results in changes, related to alterations in the topology of this macromolecule, in DNA physicochemical properties. The physicochemical properties of DNA in the presence of chemical analogues of microbial AHBs (methylresorcinol; hexylresorcinol; and 2-(4-hydroxyphenyl)ethane-1-ol, also known as tyrosol) were investigated using adsorption spectrophotometry, fluorometry, heat denaturation, viscosimetry, and electrophoresis in agarose gel. A number of concordant effects pointing to DNA-AHB interactions were revealed that manifest themselves in the hypochromic properties of the resulting complexes, an increase in their melting temperature and viscosity, a decrease in their electrophoretic mobility, and a change in the fluorescent properties of AHBs upon complexation with DNA. Such alterations were particularly significant in the presence of hexylresorcinol, which possessed the maximum alkyl radical length among the fd 1 analogues tested. Using atomic force microscopy, we visualized the micellelike DNA structures forming in the presence of AHBs. The results obtained provided the basis for developing a hypothetical model of the interaction between the biopolymer macromolecule and low-molecular-weight AHBs that takes into account the differences in the hydrophobicity of individual AHB homologues functioning as ligands. In terms of our model, we discuss AHB involvement in the stabilization of DNA and alteration of its topology, i.e., in the process related to intragenomic rearrangements, which account for the intrapopulational variability of bacteria, including dissociation processes.

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