Universidad Complutense de Madrid
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Predictive model and software for inbreeding-purging analysis of pedigreed populations

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García-Dorado, Aurora and Wuang, Jingliang and López-Cortegano, Eugenio (2016) Predictive model and software for inbreeding-purging analysis of pedigreed populations. G3 : genes, genomes, genetics, 6 (11). pp. 3593-3601. ISSN ESSN: 2160-1836

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Official URL: http://www.g3journal.org/content/6/11/3593



Abstract

The inbreeding depression of fitness traits can be a major threat to the survival of populations experiencing inbreeding. However, its accurate prediction requires taking into account the genetic purging induced by inbreeding, which can be achieved using a “purged inbreeding coefficient”. We have developed a method to compute purged inbreeding at the individual level in pedigreed populations with overlapping generations. Furthermore, we derive the inbreeding depression slope for individual logarithmic fitness, which is larger than that for the logarithm of the population fitness average. In addition, we provide a new software, PURGd, based on these theoretical results that allows analyzing pedigree data to detect purging, and to estimate the purging coefficient, which is the parameter necessary to predict the joint consequences of inbreeding and purging. The software also calculates the purged inbreeding coefficient for each individual, as well as standard and ancestral inbreeding. Analysis of simulation data show that this software produces reasonably accurate estimates for the inbreeding depression rate and for the purging coefficient that are useful for predictive purposes.


Item Type:Article
Uncontrolled Keywords:Inbreeding depression; Purging coefficient; Rate of inbreeding depression; Inbreeding load; Logarithmic fitness
Subjects:Medical sciences > Biology > Genetics
ID Code:43072
Deposited On:01 Jun 2017 12:01
Last Modified:10 Dec 2018 15:30

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