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Michael G. Sadovsky

Publications and source records attributed to Michael G. Sadovsky.

10 recordsLinked to original sources
arXiv2016

Chloroplast Genome Yields Unusual Seven-Cluster Structure C

We studied the structuredness in a chloroplast genome of Siberian larch. The clusters in 63-dimensional space were identified with elastic map technique, where the objects to be clusterized are the different fragments of the genome. A seven-cluster structure in the distribution of those fragments reported previously has been found. Unlike the previous results, we have found the drastically other composition of the clusters comprising the fragments extracted from coding and non-coding regions of the genome.

q-bio.GN↗
arXiv2016

Intriguing symmetry in statistical structures of Siberian larch transcriptome

The paper presents a novel approach to infer a structuredness in a set of symbol sequences such as transcriptome nucleotide sequences. A distribution pattern of triplet frequencies in the Siberian larch (\textit{Larix sibirica}~Ledeb.) transcriptome sequences was investigated in the presented study. It was found that the larch transcriptome demonstrates a number of unexpected symmetries in the statistical and combinatorial properties.

q-bio.OT↗
arXiv2014

Evidence for strong co-evolution of mitochondrial and somatic genomes

We studied a relations between the triplet frequency composition of mitochondria genomes, and the phylogeny of their bearers. First, the clusters in 63dimensional space were developed due to $K$-means. Second, the clade composition of those clusters has been studied. It was found that genomes are distributed among the clusters very regularly, with strong correlation to taxonomy. Strong co-evolution manifests through this correlation: the proximity in frequency space was determined over the mitochondrion genomes, while the proximity in taxonomy was determined morphologically.

q-bio.GN↗
arXiv2014

Reflexive spatial behaviour does not guarantee evolution advantage in prey--predator communities

We consider the model of spatially distributed population consisting of two species with "\textsl{predator\,--\,prey}" interaction; each of the species occupies two stations. Transfer of individuals between the stations (migration) is not random and yields the maximization of a net reproduction of each species. Besides, each species implements reflexive behavior strategy to determine the optimal migration flow.

q-bio.PE↗
arXiv2008

Dynamic origin of species

A simple model of species origin resulted from dynamic features of a population, solely, is developed. The model is based on the evolution optimality in space distribution, and the selection is gone over the mobility. Some biological issues are discussed.

q-bio.PE↗
arXiv2007

Towards the Typology of Elections at Russia

A distinction in reasons and motives for choosing a particular political leader establishes the key difference between older and young democracy. The former is based on electoral history, while the latter is based on feelings and personal attitude. Besides, a comparatively abundant number of political figures (persons or parties and associations) is specific for young democracies. The problem of a reference votes' distribution is analyzed. Lefevbre's theory of a reflexive control is supposed to make the basis for indifferent choice of political figures. This theory yields a golden section split of votes (or the series of Fibonacci numbers, for the case of multiple choice). A typology of political campaigns based on this theory is proposed. A proximity of ratings of competing persons means the highest electoral tension, a leadership of a person means a high level of mobilization; a neutral situation corresponds to Fibonacci numbers distribution of votes.

physics.soc-ph↗
arXiv2007

Simple Model of Complex Reflection Behaviour in Two-Species Community

The model of smart migration for two-species community is developed, where the individuals implement reflexive strategy of spatial redistribution. Simulations have been used to figure out the situations where reflexy gives an advantage over a non-reflexive spatial behaviour, and vice versa.

q-bio.PE↗
arXiv2007

Codon Usage Bias Measured Through Entropy Approach

Codon usage bias measure is defined through the mutual entropy calculation of real codon frequency distribution against the quasi-equilibrium one. This latter is defined in three manners: (1) the frequency of synonymous codons is supposed to be equal (i.e., the arithmetic mean of their frequencies); (2) it coincides to the frequency distribution of triplets; and, finally, (3) the quasi-equilibrium frequency distribution is defined as the expected frequency of codons derived from the dinucleotide frequency distribution. The measure of bias in codon usage is calculated for 125 bacterial genomes.

q-bio.GN↗
arXiv2005

Information Capacity of Biological Macromoleculae Reloaded

Information capacity of a symbol sequence is a measure of the unexpectedness of a continuation of given string of symbols. Continuation of a string is determined through the maximum entropy of the reconstructed frequency dictionary; the capacity, in turn, is determined through the calculation of mutual entropy of a real frequency dictionary of a sequence with respect to the reconstructed one. The capacity does not depend on the length of strings in a dictionary. The capacity calculated for various genomes exhibits a multi-minima pattern reflecting an order observed within a sequence.

q-bio.GN↗