Transgenerational transmission of an environmental modification in quails: changes in phenotypic variance components across three generations
Rousse, S.; Leroux, S.; Gourichon, D.; Calandreau, L.; David, I.; Rau, A.; lagarrigue, S.; Zerjal, T.; Pitel, F.; Eynard, S. E.
Show abstract
While epigenetic variations can contribute to shaping phenotypic diversity, it can be challenging to isolate and quantify the portion of trait variability under epigenetic influence. In this study we compared the phenotypic responses for different traits of two epilines of Japanese quails (Coturnix japonica) across three generations, using a large sample size. These epilines were built in parallel following (epi +), or not (epi -), an initial genistein ingestion in the ancestors diet and were maintained to harbour a similar genetic structure. Linear models were fitted to extract the fraction of variance allocated to multiple factors such as family, sex and epiline. The latter was found to be significantly associated with body weight. The proportion of phenotypic variance explained by the epiline progressively increased from the first generation (G0) to the last (G2), leading - for example in body weight at slaughter - to an average difference for adult males and females in G2 of 9 grams and 14 grams respectively, between epi + offspring and controls (epi-). Although these findings suggest genetic drift, they could also reveal a possible transgenerational effect of the initial diet disruption. The analysis of variance (ANOVA) of other phenotypes did not display a significant effect of the epiline. This innovative experimental design offered a unique opportunity to better understand the evolution of phenotypic variance and the parameters constituting it across three generations following or not an environmental change.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- On-farm hatching and contact with adult hen post hatch induce sex-dependent effects on performance and welfare in broiler chickens 94%
- Screening for links between behaviour and acute hyperthermia and hypoxia resistance in rainbow trout using isogenic lines 92%
- Effects of feeding treatment on growth rate and performance of primiparous Holstein dairy heifers 92%
Similar papers in this journal
- Effects of pen enrichment on leg health of fast and slower-growing broiler chickens 94%
- Generation of a white-albino phenotype from cobalt blue and yellow-albino trouts: inheritance pattern and chromatophores analysis 93%
- Social status and previous experience in the group as predictors of long-term welfare of sows housed in large semi-static groups 93%
Similar papers in this journal
- Deciphering cattle temperament measures derived from a four-platform standing scale using genetic factor analytic modeling 92%
- Validation of the linear regression method to evaluate population accuracy and bias of predictions for non-linear models 91%
- Gut transcriptome reveals differential gene expression and enriched pathways linked to immune activation in response to weaning in pigs. 91%
Similar papers in this journal
- Reintroducing genetic diversity in populations from cryopreserved material: The case of Abondance, a French local dairy cattle breed 92%
- Genetic architecture of acute hyperthermia resistance in juvenile rainbow trout (Oncorhynchus mykiss) and genetic correlations with production traits 92%
- Management programs as a key factor for genetic conservation of small populations : The case of French local chicken breeds 91%
Similar papers in this journal
- Is maternal thyroid hormone deposition subject to a trade-off between self and egg because of iodine? An experimental study in rock pigeon 94%
- Prenatal thyroid hormones accelerate postnatal growth and telomere shortening in wild great tits 94%
- Testing different forms of regulation of yolk thyroid hormone transfer in pied flycatchers 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.