A theory of measuring natural selection and genetic monitoring
A. I. Yuriev
TL;DR
This paper compares two methods for measuring natural selection and genetic monitoring in natural populations.
Contribution
It introduces a theoretical framework for assessing susceptibility to selection and guiding genetic monitoring strategies.
Findings
The FST-based method is useful for rapid assessment of species susceptibility to selection.
The probability-based method is better for long-term monitoring of species under intense selection.
Long-term genetic data for rare species is lacking, highlighting the need for sustained research funding.
Abstract
Two methods have been compared for determining the value of natural selection in the natural populations. The first method, based on the FST-statistics, employs the dependence of genetic diversity of a species on the value of gene flow between subpopulations of the species, derived from the assumption that all the mutations are close to selective neutrality, and subpopulations effect each other equally. Susceptibility to selection is estimated by the degree of deviation from this relationship between genetic diversity and gene flow in certain species. The second method is based on the probability theory and involves comparison between stabilities of the forms, competing in the population, which is computed using the data about fluctuations in their occurrence in several generations. As applied to the problems of genetic monitoring of rare and valuable species, the first method can be…
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Taxonomy
TopicsGenetic diversity and population structure · Agriculture and Biological Studies · Evolution and Genetic Dynamics