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Capítulo de Libro

The sensitiveness of expected heterozygosity and allelic richness estimates for analyzing population genetic diversity

Título del libro: Genetic variation

Barrandeguy, Maria EugeniaIcon ; García, María VictoriaIcon
Otros responsables: Maia, Rafael; de Araujo Campos, Magnolia
Fecha de publicación: 2021
Editorial: Intech Open
ISBN: 978-1-83881-097-9
Idioma: Inglés
Clasificación temática:
Genética y Herencia

Resumen

Genetic diversity comprises the total of genetic variability contained in a population and it represents the fundamental component of changes since it determines the microevolutionary potential of populations. There are several measures for quantifying the genetic diversity, most notably measures based on heterozygosity and measures based on allelic richness, i.e. the expected number of alleles in populations of same size. These measures differ in their theoretical background and, in consequence, they differ in their ecological and evolutionary interpretations. Therefore, in the present chapter these measures of genetic diversity were jointly analyzed, highlighting the changes expected as consequence of gene flow and genetic drift. To develop this analysis, computational simulations of extreme scenarios combining changes in the levels of gene flow and population size were performed.
Palabras clave: ALLELIC RICHNESS , MOLECULAR MARKERS , COMPUTATIONAL SIMULATIONS , GENE DIVERSITY , POPULATION GENETICS
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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/196466
DOI: http://dx.doi.org/10.5772/intechopen.95585
URL: https://www.intechopen.com/chapters/74804
URL: https://www.intechopen.com/books/9743
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Capítulos de libros de INSTITUTO DE BIOLOGIA SUBTROPICAL
Citación
Barrandeguy, Maria Eugenia; García, María Victoria; The sensitiveness of expected heterozygosity and allelic richness estimates for analyzing population genetic diversity; Intech Open; 2021; 1-13
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