Analyses of multiple marker systems allowed us to compare genetic diversity and structure with different spatio-temporal resolution, because different markers have distinct rates of evolution, levels of variability, and modes of inheritance (Avise 2004).
Special emphasis is placed on studies integrating proximate (i.e. mechanisms, development) and ultimate (i.e. function, evolution) levels in the analysis of behaviour.
The journal places special emphasis on studies integrating proximate (mechanisms, development) and ultimate (function, evolution) levels in the analysis of behavior.
The major systemic determinants of protein evolution - level of expression [29] and structural constraints [9], [41], [42], [43]- are fairly well understood.
This was necessitated by the finding in the context of the original stated preference survey, that presenting individuals with illness episode scenarios involving an evolution of level of activity restriction was overly burdensome for respondents.
Due to both its high agricultural importance and rapid evolution, the level of interest in genomic research on wheat is high.
We explored the impacts of herbicide cycling on the rate of resistance evolution, the level of resistance selected, the cost of resistance and the degree of generality (cross-resistance) observed.
For the statement on human evolution, the acceptance level of high evolution students was significantly greater (X2 = 98; 2 df; P < 0.001) than low evolution students and also clearly greater than level 1 accepters.
Even with these higher rates of mtDNA evolution, the levels of divergence among populations suggest that these populations have been evolving fairly independently of one another for long periods of time.
Comparisons among genera reveal shared and unique aspects of CenH3 evolution, variable levels of diversifying selection in different CenH3 domains, and that alternative splicing contributes significantly to CenH3 diversity.
To explore more fully the relationship between signatures of convergence and adaptive evolution, we predicted the level of convergent evolution expected (ΔSSLS) after prolonged diversifying selection (ω = 2) using the fitted regression models for each locus.
