For phylogenetic purposes, the mitochondrial sequences of single or multiple genes or regions are commonly analysed by traditional molecular evolutionary methods.
It is notable that analysis of a relatively large and unbiased sample of viral sequences from multiple seasons with straightforward molecular evolutionary methods yields this unexpectedly complex picture of virus evolution.
In this respect, current molecular evolutionary methods such as the identification of coevolutionary sites [ 20] and relaxed molecular clock inference models [ 21, 22] offer a unique opportunity to dissect the rbcL gene fine-tuning.
We utilized various state-of-art molecular evolutionary assessment methods to determine the influence of natural selection on the evolution of genes encoding Shiva superfamily toxins (see Methods section for full details of the selection analyses).
Together, our phylogenetic methods, molecular evolutionary analyses, and geographic visualization provide a framework for analysis of globally distributed genomic data that can be used to monitor the evolution of drug resistance.
We combined molecular evolutionary analysis and multiple methods of phenotype profiling in order to reveal the genetic relationship of T. reesei to H. jecorina.
Studies of such genes my provide great insights into the speciation process, but their analysis requires different molecular evolutionary tools, such as methods for measuring and testing the strength of positive Darwinian selection (Yang et al. 2000; Swanson and Vacquier 2002a).
To estimate divergence times and molecular evolutionary rates, a Bayesian method implemented in MCMCTREE (in PAML [19]) was applied either with the CR model [12], [13] or with the IR model [15] (using the GTR model with a discrete gamma distribution with five rate categories (Γ5) for nucleotide substitutions), and multiple calibrations were incorporated through the time prior.
In the present study, we exploited the high-throughput molecular marker system, gene cloning, proteomic methods and molecular evolutionary genetic analysis to reveal the composition, variation, expression and evolution of LMW-GS genes in a T. urartu population from the Fertile Crescent region.
Finally, using molecular evolutionary analyses and direct experimental methods, we evaluate the hypothesis of Albert et al., 2010 [ 6], which postulates that Reactive Oxygen Species (ROS) derived from specialized action of cytochrome c oxidase account for increased substitution rates and genome-size dynamism following DNA repair.
Conversely, Bechsgaard et al. (2006) estimated the time of the evolution of self-compatibility using a molecular evolutionary approach, and developed a method based on the dN : dS ratio (also called the ' Ka : Ks ratio', the ratio of the rate of non-synonymous substitutions per site to the rate of synonymous substitutions per site).
