Congruence analysis and combining of molecular genetic and morphological data in zoological systematics
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- Kovaleva, V.Y., Abramov, S.A., Dupal, T.A. et al. Biol Bull Russ Acad Sci (2012) 39: 335. doi:10.1134/S1062359012030053
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A new algorithmic approach is proposed for congruence analysis of different types of data in zoological systematics. The algorithm is tested on actual data. A high degree of congruence is shown for morphometric and genetic distances in the tested set of species. Two directions of variation in both trait spaces have clearly appeared. The first direction discriminates families; the second discriminates orders. The traits responsible for these differences have been revealed. After uniting both distance matrixes, the morphological one and the molecular genetic one, into a single matrix, and displaying the summarized distances between species on a plane, the configuration of species remained principally unchanged. The principal directions of variations were preserved and marked the differences between orders, families, and genera.