Всероссийский научно-исследовательский институт физиологии, биохимии и питания животных – филиал Федерального государственного бюджетного научного учреждения «Федеральный научный центр животноводства – ВИЖ имени академика Л.К. Эрнста»

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Journal

Wright’s F-statistics: estimation and interpretation

Kuznetsov V.M.

Zonal North-East Agricultural Research Institute, Kirov, Russian Federation

Номер: 4
Год: 2014
Страницы: 80-104

Журнал: Problemy biologii productivnykh zhivotnykh - Problems of Productive Animal Biology

Ключевые слова:

genetic variation, heterozygosity, inbreeding, subdivided population, Wright's fixation indices

Аннотация:

ABSTRACT. Wright’s F-statistics, or fixation indexes, characterize individual (), subpopulational () and populational () levels of genetic structure of populations: , and , where − an observed heterozygosity in subpopulations, − an expected heterozygosity calculated under panmixia (random mating), − an expected heterozygosity in whole population under panmixia. is inbreeding coefficient of species in subpopulations; it indicates reduction of heterozygosity because of non-random mating. If >0, there is a deficit of heterozygous individuals (relatives mating); at there is a random mating. − inbreeding coefficient of subpopulations relative to whole population, it indicates a reduction of heterozygosity trough a limited gene flux (migration) and genetic drift between subpopulations. varies from 0 (panmixia, equal allele frequencies in subpopulations; none divergence) up to 1 (complete isolation, maximal differentiation, subpopulations are fixed by different alleles, the pure lines): <5% − a weak differentiation of the population; >25% − significant differentiation. may be used to estimate level of migration. For two populations, is a measure of genetic distance. − coefficient of individual inbreeding in whole population. If >0, there is a deficit of heterozygotes in population; at <0, there is an excess of heterozygotes. F-statistics are calculated by frequencies of locus alleles and averaged over all locuses. To minimize sample error, the size of each subsample has to be >50, expected number of species of one genotype >5, number of polymorphic locuses >6 (number of microsatellites 20-30 and a more). There are presented several examples of the calculation of F-statistics with bio-zootechnical interpretation of the results.

Литература:

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