PubMed Health⌕ Search

PubMed · 15315897

The relationship between genotype, developmental stability and mating performance: disentangling the epigenetic causes.

Abstract

Developmental stability (DS) may confer an advantage in competition for mates. The present study tests this hypothesis using Drosophila immigrans, and proposes a novel approach to help broadly define the epigenetic factors causing such an effect. We first estimated the magnitude of isofemale heritability in sternopleural bristle fluctuating asymmetry (FA), using replicate genetic lines extracted from nature. Positional FA (PFA) exhibited significant among-line variation, and the heritability estimate of 0.10 (0.046 s.e.m.) was statistically significant. Among individual males, there was a significant positive relationship between PFA and copulation latency (time elapsed between introduction of females and copulation) and duration, but not copulation frequency. Moreover, high-DS lines exhibited significantly shorter copulation latency and duration compared with low-DS lines. When these components of sexual performance were again contrasted between lines with among-individual differences in bristle asymmetry controlled statistically, significant line effects on copulation latency and duration disappeared. The results suggest that deficits in the developmental apparatus underlying one particular trait can compromise individual sexual performance, and weaken the hypothesis that FA is a cue of overall 'genetic quality'.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Michal Polak, Elizabeth M Stillabower. 2004-09-07. The relationship between genotype, developmental stability and mating performance: disentangling the epigenetic causes.. https://doi.org/10.1098/rspb.2004.2786

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Molecular heterochrony and the evolution of sociality in bumblebees (Bombus terrestris).

Sibling care is a hallmark of social insects, but its evolution remains challenging to explain at the molecular level. The hypothesis that sibling care evolved from ancestral maternal care in primitively eusocial insects has been elaborated to involve heterochronic changes in gene expression. This elaboration leads to the prediction that workers in these species will show patterns of gene expression more similar to foundress queens, who express maternal care behaviour, than to established queens engaged solely in reproductive behaviour. We tested this idea in bumblebees (Bombus terrestris) using a microarray platform with approximately 4500 genes. Unlike the wasp Polistes metricus, in which support for the above prediction has been obtained, we found that patterns of brain gene expression in foundress and queen bumblebees were more similar to each other than to workers. Comparisons of differentially expressed genes derived from this study and gene lists from microarray studies in Polistes and the honeybee Apis mellifera yielded a shared set of genes involved in the regulation of related social behaviours across independent eusocial lineages. Together, these results suggest that multiple independent evolutions of eusociality in the insects might have involved different evolutionary routes, but nevertheless involved some similarities at the molecular level.

Analysis of Variance↗

Confidence intervals for the standardized effect arising in the comparison of two normal populations.

Confidence intervals for a standardized effect are derived after stabilizing the variance of the Welch t-statistic. Simulation studies demonstrate the viability of the resulting intervals for a wide range of parameter values and sample sizes as small as five. The methodology is extended to the combination of results from several studies, so as to obtain a confidence interval for a representative standardized effect for all the studies. The methods are illustrated on a recent meta-analytic study of systolic blood pressure reduction during a weight reducing regime, as well as the classical Mumford data on psychological intervention and hospital length of stay.

Analysis of Variance↗