Affiliation:
1. Centro de Investigación Mariña Universidade de Vigo, Facultade de Bioloxía Vigo Spain
Abstract
AbstractInbreeding depression (ID), the reduction in fitness due to inbreeding, is typically measured by the regression of the phenotypic values of individuals for a particular trait on their corresponding inbreeding coefficients (F). While genealogical records can provide these coefficients, they may be unavailable or incomplete, making molecular markers a useful alternative. The power to detect ID and its accuracy depend on the variation ofFvalues of individuals, the sample sizes available, and the accuracy in the estimation of individual fitness traits andFvalues. In this study, we usedDrosophila melanogasterto evaluate the effectiveness of molecular markers in estimating ID under suboptimal conditions. We generated two sets of 100 pairs of unrelated individuals from a large panmictic population and mated them for two generations to produce non‐inbred and unrelated individuals (F = 0) and inbred individuals (full‐sib progeny;F = 0.25). Using these expected genealogicalFvalues, we calculated inbreeding depression for two fitness‐related traits, pupae productivity and competitive fitness. We then sequenced the males from 17 non‐inbred pairs and 17 inbred pairs to obtain their genomic inbreeding coefficients and estimate ID for the two traits. The scenario assumed was rather restrictive in terms of estimation of ID because: (1) the individuals belonged to the same generation of a large panmictic population, leading to low variation in individualFcoefficients; (2) the sample sizes were small; and (3) the traits measured depended on both males and females while only males were sequenced. Despite the challenging conditions of our study, we found that molecular markers provided estimates of ID that were comparable to those obtained from simple pedigree estimations with larger sample sizes. The results therefore suggest that genomic measures of inbreeding are useful to provide estimates of inbreeding depression even under very challenging scenarios.
Funder
Agencia Estatal de Investigación
Centro Singular de Investigación de Galicia
European Regional Development Fund
Ministerio de Educación, Cultura y Deporte
Xunta de Galicia
Subject
General Agricultural and Biological Sciences,Genetics,Ecology, Evolution, Behavior and Systematics