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Biology subjects

Deraje, P.

Publications and source records attributed to Deraje, P..

3 recordsLinked to original sources

How do mate-finding Allee effects affect evolutionary rescue?

Harsh environmental change can put populations at risk of extinction, requiring rapid adaptation for persistence. In sexually reproducing populations, the challenge of finding mates at low densities can impose a strong demographic Allee effect. When such a population falls below the Allee threshold, either through a reduction of the population size or an increase in the threshold, successful adaptation relies on overcoming the Allee effect, which gets increasingly difficult as the population declines. Despite mate-finding Allee effects being common, most models of evolutionary rescue assume that mating is assured even at low densities. Here, we set up a population genetic model for evolutionary rescue of a population below its Allee threshold. For the analysis, we combine stochastic computer simulations with mathematical arguments. As expected, mate limitation can severely impede rescue but the extent differs across sexual systems. We further show that mate limitation shifts the optimal sex ratio for dioecious populations, alters optimal evolutionary routes when there are trade-offs between increasing mate-finding efficiency and fecundity, and enhances the importance of standing genetic variation relative to de novo mutants. Overall, our results highlight the importance of accounting for positive density dependence in the assessment of a populations scope for evolutionary rescue.

evolutionary biology↗

Quasi epigenetic equilibrium: the implications of plasticity and variability on evolution and extinction

The phenotypic effects of epigenetic modifications, and thus their evolutionary consequences, depend on how the modifications interact with the underlying genetics and the surrounding environment. These interactions lead to a complex model that has so far prevented general analytical progress, and thus limited our understanding. Here, we show that the timescale difference between epigenetic and genetic changes create a quasi-epigenetic equilibrium (QEE). The QEE allows us to tackle the complexity of population epigenetic models by reducing them to their underlying population genetic models with effective parameters. Using this technique, we show how epigenetics modifies key evolutionary parameters, such as the strength of selection and dominance, which can have drastic evolutionary consequences on mutation-selection balance. Further, we show how the QEE allows us to analytically investigate the effect of epigenetics on the probability of a population escaping extinction in a harsh environment via adaptation - evolutionary rescue - by altering the number of potential rescue lineages and their probability of establishing. These calculations show that whether epigenetics helps or hurts population persistence depends non-trivially on the frequency and stability of epigenetic modifications.

evolutionary biology↗

Inferring the geographic history of recombinant lineages using the full ancestral recombination graph

Spatial patterns of genetic relatedness among samples reflect the past movements of their ancestors. Our ability to untangle this history has the potential to improve dramatically given that we can now infer the ultimate description of genetic relatedness, the ancestral recombination graph (ARG). By extending spatial theory previously applied to trees, we generalize the common model of Brownian motion to full ARGs, thereby accounting for correlations in trees along a chromosome while efficiently computing likelihood-based estimates of dispersal rate and genetic ancestor locations, with associated uncertainties. We evaluate this models ability to reconstruct spatial histories using individual-based simulations and unfortunately find a clear bias in the estimates of dispersal rate and ancestor locations. We investigate the causes of this bias, pinpointing a discrepancy between the model and the true spatial process at recombination events. This highlights a key hurdle in extending the ubiquitous and analytically-tractable model of Brownian motion from trees to ARGs, which otherwise has the potential to provide an efficient method for spatial inference, with uncertainties, using all the information available in the full ARG.

evolutionary biology↗