Quantitative genetics of sexual plasticity: The environmental threshold model and genotype-by-environment interaction for phallus development in the snail Bulinus truncatus

Citation
Mf. Ostrowski et al., Quantitative genetics of sexual plasticity: The environmental threshold model and genotype-by-environment interaction for phallus development in the snail Bulinus truncatus, EVOLUTION, 54(5), 2000, pp. 1614-1625
Citations number
48
Categorie Soggetti
Biology,"Experimental Biology
Journal title
EVOLUTION
ISSN journal
00143820 → ACNP
Volume
54
Issue
5
Year of publication
2000
Pages
1614 - 1625
Database
ISI
SICI code
0014-3820(200010)54:5<1614:QGOSPT>2.0.ZU;2-9
Abstract
Sexual polymorphisms are model systems for analyzing the evolution of repro ductive strategies. However, their plasticity and other binary traits have rarely been studied, with respect to environmental variables. A possible re ason is that, although threshold models offer an adequate quantitative gene tics framework for binary traits in a single environment, analyzing their p lasticity requires more refined empirical and theoretical approaches. The s tatistical framework proposed here, based on the environmental threshold mo del (ETM), should partially fill this gap. This methodology is applied to a n empirical dataset on a plastic sexual polymorphism, aphally, in the snail Bulinus truncatus. Aphally is characterized by the co-occurrence of regula r hermaphrodites (euphallics) together with hermaphrodites deprived of the male copulatory organ (aphallics). Reaction norms were determined for 40 in bred lines, distributed at three temperatures, in a first experiment. A sec ond experiment allowed us to rule out maternal effects. We confirmed the ex istence of high broad-sense heritabilities as well as a positive effect of high temperatures on aphally. However a significant genotype-by-environment interaction was detected for the first time, suggesting that sexual plasti city itself can respond to selection. A nested series of four ETM-like mode ls was developed for estimating genetical effects on both mean aphally rate and plasticity. These models were tested using a maximum-likelihood proced ure and fitted to aphally data. Although no perfect fit of models to data w as observed, the refined versions of ETM models conveniently reduce the ana lysis of complex reaction norms of binary traits into standard quantitative genetics parameters, such as genetic values and environmental variances.