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Superstatistical model of bacterial DNA architecture
#MMPMID28225058
Bogachev MI
; Markelov OA
; Kayumov AR
; Bunde A
Sci Rep
2017[Feb]; 7
(?): 43034
PMID28225058
show ga
Understanding the physical principles that govern the complex DNA structural
organization as well as its mechanical and thermodynamical properties is
essential for the advancement in both life sciences and genetic engineering.
Recently we have discovered that the complex DNA organization is explicitly
reflected in the arrangement of nucleotides depicted by the universal power law
tailed internucleotide interval distribution that is valid for complete genomes
of various prokaryotic and eukaryotic organisms. Here we suggest a
superstatistical model that represents a long DNA molecule by a series of
consecutive ~150?bp DNA segments with the alternation of the local nucleotide
composition between segments exhibiting long-range correlations. We show that the
superstatistical model and the corresponding DNA generation algorithm explicitly
reproduce the laws governing the empirical nucleotide arrangement properties of
the DNA sequences for various global GC contents and optimal living temperatures.
Finally, we discuss the relevance of our model in terms of the DNA mechanical
properties. As an outlook, we focus on finding the DNA sequences that encode a
given protein while simultaneously reproducing the nucleotide arrangement laws
observed from empirical genomes, that may be of interest in the optimization of
genetic engineering of long DNA molecules.
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