Sentence examples for inferring evolution from inspiring English sources
Because evolution involves change in gene frequencies, an evolutionary response requires genetic variability, and inferring evolution in response to fishing pressure in the absence of this information is far from straightforward.
Like any metric based on phenotypic data, probabilistic maturation reaction norms (PMRNs) have their strengths and weaknesses when it comes to inferring evolution of the underlying genotype (Dieckmann and Heino 2007; Marshall and Browman 2007).
Here, we have applied this software to predict DNA methylation with CpGo/e ratios in a total of 634 species and to use the results in combination with publicly available experimental data to infer evolution of DNA methylation over the eukaryotic tree of life.
But how inaccurate, really, were those aspects of form used to infer evolution?
Amino acid usage rates have also been used to infer evolution of amino acids and the genetic code, using either asymmetries in substitution matrices among closely related organisms [17], [18] or ancestral sequence reconstructions of ancient protein lineages [19], [20].
This global view of evolution, based on large and relatively infrequent events provides an alternative means to infer evolution [ 1- 5].
This analysis will serve as a basis to infer evolution of new virulent strains and overcoming existing host resistance.
The distribution of multigene family expansions on the phylogeny depends strongly on the method used to infer evolution, and has the potential to complement gene expression analyses that suggest parallel evolution of amino acid transporter recruitment to the symbiotic interface.
IE infers evolution based only on observed (extant and/or fossil) variation and phylogenetic relatedness (no a priori model parameters), and therefore has less stringent data assumptions and a decreased reliance on a prior model assumptions [ 113].
In recent work, we sought to address this gap by developing phylogenetic algorithms specifically to infer evolution by cancer-like CIN mechanisms of copy number variation (Chowdhury et al., 2013, 2014).
Tumor heterogeneity presents a challenge for inferring clonal evolution and driver gene identification.
