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Phylogenetic analysis of 73 060 taxa corroborates major eukaryotic groups
Author(s) -
Goloboff Pablo A.,
Catalano Santiago A.,
Marcos Mirande J.,
Szumik Claudia A.,
Salvador Arias J.,
Källersjö Mari,
Farris James S.
Publication year - 2009
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.1096-0031.2009.00255.x
Subject(s) - phylogenetic tree , taxon , congruence (geometry) , evolutionary biology , biology , phylogenetics , schema (genetic algorithms) , tree (set theory) , taxonomic rank , phylogenetic comparative methods , ecology , mathematics , computer science , combinatorics , machine learning , genetics , geometry , gene
Obtaining a well supported schema of phylogenetic relationships among the major groups of living organisms requires considering as much taxonomic diversity as possible, but the computational cost of calculating large phylogenies has so far been a major obstacle. We show here that the parsimony algorithms implemented in TNT can successfully process the largest phylogenetic data set ever analysed, consisting of molecular sequences and morphology for 73 060 eukaryotic taxa. The trees resulting from molecules alone display a high degree of congruence with the major taxonomic groups, with a small proportion of misplaced species; the combined data set retrieves these groups with even higher congruence. This shows that tree‐calculation algorithms effectively retrieve phylogenetic history for very large data sets, and at the same time provides strong corroboration for the major eukaryotic lineages long recognized by taxonomists.