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Parsimony Analysis of Total Evidence from Extinct and Extant Taxa and the Cetacean‐Artiodactyl Question (Mammalia, Ungulata)
Author(s) -
O'Leary Maureen A.
Publication year - 1999
Publication title -
cladistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.323
H-Index - 92
eISSN - 1096-0031
pISSN - 0748-3007
DOI - 10.1111/j.1096-0031.1999.tb00269.x
Subject(s) - extant taxon , taxon , biology , zoology , evolutionary biology , paleontology
Many molecule‐based phylogenetic analyses find that the mammalian order Artiodactyla (even‐toed ungulates) is paraphyletic unless cetaceans (whales, dolphins, and porpoises) are nested within it, a hypothesis that runs contrary to traditional morphology‐based ideas. Here I present a total evidence analysis of this question based on 10 extant and 27 extinct taxa, using two character data partitions: (i) skeletal data and (ii) neontological data (soft morphology, retroposons, and DNA sequences [γ‐fibrinogen, β‐casein, and κ‐casein and mt cytochrome b ]). A sensitivity analysis varying gap cost and transversion/transition ratio over nine parameters was implemented in the sequence alignment and in the parsimony analysis. The two data partitions are significantly incongruent, and the neontological data partition includes over six times as many characters as the osteological data partition. The osteological data partition, however, samples almost three times more taxa, taxa that cannot be sampled for neontological data because they are extinct. Osteological data resulted in artiodactyl monophyly, and neontological data resulted in artiodactyl paraphyly over all nine parameters. In the total evidence analysis the parameter most congruent with the overall character data is unresolved as to the sister taxon of Cetacea; however, the Adams consensus tree favors the neontological result. Extinction of almost 90% of the clade and particularly poor knowledge of stem taxa at the base of Artiodactyla make resolution of conflicting molecule‐ and morphology‐based phylogenetic signals particularly difficult.