TY - JOUR
T1 - Dispersing away from bad genotypes
T2 - The evolution of Fitness-Associated Dispersal (FAD) in homogeneous environments
AU - Gueijman, Ariel
AU - Ayali, Amir
AU - Ram, Yoav
AU - Hadany, Lilach
N1 - Funding Information: We wish to thank Tuvik Beker, Eli Geffen, Uri Obolski, Sarah P. Otto, and the anonymous reviewers for many helpful comments on the manuscript. This study was supported in part by grant 840/08 from the Israel Science Foundation (to LH), Marie Curie grant 2007–224866 (to LH), and NSF grant 0639990 (to LH).
PY - 2013
Y1 - 2013
N2 - Background: Dispersal is a major factor in ecological and evolutionary dynamics. Although empirical evidence shows that the tendency to disperse varies among individuals in many organisms, the evolution of dispersal patterns is not fully understood. Previous theoretical studies have shown that condition-dependent dispersal may evolve as a means to move to a different environment when environments are heterogeneous in space or in time. However, dispersal is also a means to genetically diversify offspring, a genetic advantage that might be particularly important when the individual fitness is low. We suggest that plasticity in dispersal, in which fit individuals are less likely to disperse (Fitness-Associated Dispersal, or FAD), can evolve due to its evolutionary advantages even when the environment is homogeneous and stable, kin competition is weak, and the cost of dispersal is high. Results: Using stochastic simulations we show that throughout the parameter range, selection favors FAD over uniform dispersal (in which all individuals disperse with equal probability). FAD also has significant long-term effects on the mean fitness and genotypic variance of the population. Conclusions: We show that FAD evolves under a very wide parameter range, regardless of its effects on the population mean fitness. We predict that individuals of low quality will have an increased tendency for dispersal, even when the environment is homogeneous, there is no direct competition with neighbors, and dispersal carries significant costs.
AB - Background: Dispersal is a major factor in ecological and evolutionary dynamics. Although empirical evidence shows that the tendency to disperse varies among individuals in many organisms, the evolution of dispersal patterns is not fully understood. Previous theoretical studies have shown that condition-dependent dispersal may evolve as a means to move to a different environment when environments are heterogeneous in space or in time. However, dispersal is also a means to genetically diversify offspring, a genetic advantage that might be particularly important when the individual fitness is low. We suggest that plasticity in dispersal, in which fit individuals are less likely to disperse (Fitness-Associated Dispersal, or FAD), can evolve due to its evolutionary advantages even when the environment is homogeneous and stable, kin competition is weak, and the cost of dispersal is high. Results: Using stochastic simulations we show that throughout the parameter range, selection favors FAD over uniform dispersal (in which all individuals disperse with equal probability). FAD also has significant long-term effects on the mean fitness and genotypic variance of the population. Conclusions: We show that FAD evolves under a very wide parameter range, regardless of its effects on the population mean fitness. We predict that individuals of low quality will have an increased tendency for dispersal, even when the environment is homogeneous, there is no direct competition with neighbors, and dispersal carries significant costs.
KW - Condition-dependent dispersal
KW - Fitness-dependent dispersal
KW - Genetic mixing
KW - Outcrossing
KW - Partial migration
KW - Phenotypic plasticity
KW - Stochastic simulations
KW - Stress-induced variation
UR - http://www.scopus.com/inward/record.url?scp=84879044723&partnerID=8YFLogxK
U2 - https://doi.org/10.1186/1471-2148-13-125
DO - https://doi.org/10.1186/1471-2148-13-125
M3 - مقالة
SN - 1471-2148
VL - 13
JO - BMC Evolutionary Biology
JF - BMC Evolutionary Biology
IS - 1
M1 - 125
ER -