A Procedure for Modeling Genetic Diversity Distortions in Populations of Organisms with Mixed Reproductive Strategies

Anastasiya Poroshina () and Dmitry Sherbakov
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Anastasiya Poroshina: Laboratory of Molecular Systematics, Limnological Institute, Siberian Branch of Russian Academy of Sciences, 664033 Irkutsk, Russia
Dmitry Sherbakov: Laboratory of Molecular Systematics, Limnological Institute, Siberian Branch of Russian Academy of Sciences, 664033 Irkutsk, Russia

Mathematics, 2023, vol. 11, issue 13, 1-7

Abstract: We propose an approach for modeling the pattern of the genetic diversity of microsatellite markers in a population with a mixed breeding strategy. Part of the population is reproduced sexually, and part is produced asexually. The method of the proposed simulation is different from others in that it produces a set of microsatellite markers as the outcome of a computer simulation of processes in a fixed-size population. These markers can be utilized with the assistance of available software to calculate various metrics of genetic diversity. Our approach is implemented in Python 3.10 and is accompanied by additional scripts that ensure result compatibility with programs that calculate different population characteristics.

Keywords: individual-oriented modeling; reproductive mode; genetic diversity; population genetics (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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