We present a new method using nucleic acid secondary structure to assess phylogenetic relationships among species. In this method, which we term "molecular morphometrics," the measurable structural parameters of the molecules (geometrical features, bond energies, base composition, etc.) are used as specific characters to construct a phylogenetic tree. This method relies both on traditional morphological comparison and on molecular sequence comparison. Applied to the phylogenetic analysis of Cirripedia, molecular morphometrics supports the most recent morphological analyses arguing for the monophyly of Cirripedia sensu stricto (Thoracica + Rhizocephala + Acrothoracica). As a proof, a classical multiple alignment was also performed, either using or not using the structural information to realign the sequence segments considered in the molecular morphometrics analysis. These methods yielded the same tree topology as the direct use of structural characters as a phylogenetic signal. By taking into account the secondary structure of nucleic acids, the new method allows investigators to use the regions in which multiple alignments are barely reliable because of a large number of insertions and deletions. It thus appears to be complementary to classical primary sequence analysis in phylogenetic studies.

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Among protein serine/threonine kinases, the CDC2 proteins are both well characterized as protein serine/threonine kinases and are functionally involved in the control of cell division. Protein serine/threonine kinase sequences were analysed using Fourier transform of the coded sequences. Characteristic code/frequency pairs were extracted from a set of well defined protein serine/threonine kinases. The characteristic frequencies 0.179, 0.250 and 0.408 distinguished protein serine/threonine kinases from proteins which did not have the biological activity. Pertinent patterns in the sequence, responsible for the code/frequency pairs detection were searched and found to be correlated with the putative catalytic domain of the proteins. Protein serine/threonine kinases involved in cell division control, CDC2 protein kinases, were compared to the other protein serine/threonine kinases. Specific code/frequency pairs were extracted from the sequences and could be related to the function or regulation of the kinases in cell division. Two CDC2 related proteins CDC2(Mm) from mice and CDC2(Gg) from chicken were shown to fit well with the CDC2 proteins, whereas KIN28, PHO85 and PSKJ3, which share sequence homology but not functional activity with the CDC2 proteins, were clearly excluded from the CDC2 proteins by the characteristic code/frequency pairs. Pertinent patterns in the CDC2 proteins were analysed and mapped on the CDC2 related protein sequences. Four patterns were correlated with the code/frequency detection and therefore, could be associated to the regulation of the CDC2-related proteins.