The study of evolution at the molecular level has focused primarily on changes in gene (protein) sequences overtime [1]. Of course, phenotype is influenced not only by the sequence of genes but also by their expression patterns, i.e., the amplitude, timing, and spatial distribution of transcription. Thus, changes in gene expression are quite likely to be equally as important as sequence changes in evolution; indeed, the significance of gene expression divergence to the evolutionary process has been recognized for some time [2-4]. However, gene expression data have only recently accumulated to the levels needed for systematic evolutionary studies. This has been due to the application of new high-throughput techniques that measure gene expression levels for thousands of genes simultaneously [5-7], as well as the development of database resources needed to handle such data [8-10]. The availability of these expression data, together with the long standing interest in the evolutionary significance of gene expression, has stimulated numerous recent studies on gene expression divergence.
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Jordan, I.K., Mariñno-Ramírez, L. (2007). Evolutionary Genomics of Gene Expression. In: Bastolla, U., Porto, M., Roman, H.E., Vendruscolo, M. (eds) Structural Approaches to Sequence Evolution. Biological and Medical Physics, Biomedical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-35306-5_11
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