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Dryad

Climate change, sex reversal, and lability of sex determining systems

Cite this dataset

Schwanz, Lisa; Georges, Arthur; Holleley, Clare; Sarre, Stephen (2020). Climate change, sex reversal, and lability of sex determining systems [Dataset]. Dryad. https://doi.org/10.5061/dryad.cnp5hqc1t

Abstract

Sex reversal at high temperatures during embryonic development (e.g. ZZ females) provides the opportunity for new genotypic crosses (e.g. ZZ male x ZZ female). This raises the alarming possibility that climatic warming could lead to the loss of an entire chromosome – one member of the sex chromosome pair (the Y or W) – and the transition of populations to environmental sex determination (ESD). Here we examine the evolutionary dynamics of sex-determining systems exposed to climatic warming using theoretical models. We found that the loss of sex chromosomes is not an inevitable consequence of sex reversal. A large frequency of ZZ sex reversal (50% reversal from male to female) typically divides the outcome between loss of the ZW genotype and the stable persistence of ZZ males, ZW females, and ZZ females. The amount of warming associated with sex chromosome loss depended on several features of wild populations – environmental fluctuation, immigration, heritable variation in temperature sensitivity, and differential fecundity of sex-reversed individuals. Chromosome loss was partially or completely buffered when sex-reversed individuals suffered a reproductive fitness cost, when immigration occurred, or when heritable variation for temperature sensitivity existed. Thus, under certain circumstances, sex chromosomes may persist cryptically in systems where the environment is the predominant influence on sex.

Methods

These data were generated from individual-based simulations of animal populations (initial population size = 500) coded in Matlab. Each row presents relevant parameter values for a single simulation as well as relevant final model output following 300 iterations.

Usage notes

Please refer to the publication for model structure and symbol definitions.