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Sequencing of these clusters would be necessary to distinguish between expression and sequence divergence.
We sought to study the relation between expression and sequence evolution.
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To calculate the correlation between miRNA expression and sequence evolution, we used two measures: sequence conservation among vertebrates and sequence variation within humans.
In this study, the authors note that they did not find a correlation between protein expression and sequence characteristics including codon usage, protein size, hydrophobicity, and number of transmembrane helixes.
We further validated the results of our expression analysis by testing for a potential correlation between pairwise expression and sequence divergence among the three pure species and found no significant correlation (Spearman rank correlation test, P > 0.05) suggesting that our methods were appropriately conservative (see Methods).
We next examined the relationships between expression divergence and sequence evolution, and found the expression divergence was largely independent from the sequence evolution (r = 0.00017, P = 0.9).
The link between expression level and sequence evolution rate appears to be by far the strongest and most consistent across a range of diverse organisms, a finding that led to the striking hypothesis that expression level or, more precisely, the rate of translational events is indeed the dominant determinant of the sequence evolution rate [ 15, 24, 25].
To our knowledge, the relationships that we report between expression noise and sequence lengths have not been studied previously.
A number of copies contain large deletions however no obvious relationship between expression levels and sequence conservation could be identified.
We further examined the correlation between expression divergence and sequence divergence.
However, the authors noted no significant correlation between expression levels and sequence divergence for the many of the sampled developmental stages.
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