Evaluation of a suite of metaheuristic evolutionary algorithms applied to complex well-path optimization provides insight to their relative performance and how they might best be tuned to optimize their performance.
Through processes of recombination suppression and a suite of associated evolutionary forces (e.g., sheltering genetic load, reduced effective population size, and the accumulation of repetitive DNA), a pair of sex or mating-type chromosomes becomes differentiated from the autosomes and from each other (Bergero and Charlesworth 2009).
Consequently, an entire suite of evolutionary mechanisms that operate within the MHC genome may exist, which could shape observed levels of both substitution rates and allelic polymorphism.
Variation in reassortment rates suggests varied cost-benefit equations for sex, having implications for local evolutionary dynamics and a suite of virus characteristics including rates of coinfection, virulence and host range shifts.
To obtain such estimates under stochastic process-driven models, we recently proposed a suite of Bayesian inference approaches for the joint reconstruction of evolutionary and geographic history (Bloomquist et al., 2010; Lemey et al., 2009, 2010).
Using a suite of bioinformatics methods, we searched for genetic and evolutionary features that distinguish ecotypes and propose specific hypotheses concerning mechanisms of host adaptation in the R. solanacearum species complex.
The effectiveness of the evolutionary approach is demonstrated on a suite of test problems.
As part of an ongoing research effort to investigate more efficient approaches to evolutionary modelling and to develop a suite of educational tools, a new PIB model has been developed.
Remediation of adaptive genetic variation presents a suite of difficult, and rarely well-informed, decisions regarding complex evolutionary interactions (Stockwell et al. 2003; Tallmon et al. 2004; Kinnison et al. 2007).
Using data from fragile site expression, G-banding analysis, and cross-species chromosome painting, we have described a suite of afrotherian common fragile sites that are correlated with evolutionary breakpoints when compared to the human genome.
