Sentence examples for between sequence evolution and from inspiring English sources

We interpret this as reflecting a correlation between sequence evolution and phenotypic modification in different host, environments or correlation between sequence evolution and evolution of gene expression.

A trend that we seem to observe is that the correlation between sequence evolution and expression context evolution reflects the predictive span of the expression data.

The relatively direct influence of motif divergence on CTCF binding forms a potential link between sequence evolution and large-scale genome evolution.

Many microarray studies have focused on relationships between sequence evolution and expression evolution leading to controversial conclusions in different species (reviewed in [ 7, 8]).

We have also compiled the data and annotations derived from this study into a database to serve as a resource in exploring the relationship between sequence evolution and function of regulatory elements (Additional file 1: Figure S1).

Regardless of how the relationship between sequence evolution and chromosomal location change is ultimately resolved, it is important to consider the possibility of an association between SDs and chromosomal rearrangements in relation to speciation.

This finding points to a tie between adaptive sequence evolution and evolution of the transcriptome.

To further pursue the link between noncoding sequence evolution and gene expression, we investigated noncoding elements associated with human genes for the effects of substitutions on predicted TFBS.

Consequently, studying the link between protein sequence evolution and duplication requires the use of flexible substitution models that can accommodate multiple shifts in selection across a phylogeny.

In Drosophila [ 25– 27], in fire ants [ 28], between human and chimpanzee [ 29], between human and mouse [ 30, 31], and in Arabidopsis, rice and maize [ 32], correlations between gene sequence evolution and gene expression evolution were observed.

Moreover, the negative correlation between protein sequence evolution and the number of regulatory miRNAs confirmed that genes regulated by more miRNAs are likely to undergo stronger functional constraints, and therefore exhibit slower gene evolutionary rates.