Series: Bulletin of the American Museum of Natural History (AMNH Bulletins) Volume: 355
Efforts to reconstruct the phylogenetic history of ants (Hymenoptera: Formicidae) have been boosted in the last few years by accumulation of comprehensive molecular data sets exploring multiple loci on a wide range of taxa within the family. In contrast, the wealth of morphological information for the group remains scattered across the literature comprising more than a century's worth of taxonomic and anatomical research with little standardization. The present study addresses this problem by providing a synthesis of the external skeletal morphology of ants with special emphasis on the poneromorph subfamilies (Amblyoponinae, Ectatomminae, Heteroponerinae, Paraponerinae, Ponerinae, and Proceratiinae). Particular attention was devoted to documenting and standardizing morphological characters for phylogenetic inference.
The morphological analysis was undertaken by constructing a digital atlas of 28 standard views containing 5250 scanning electron micrographs documenting worker ant morphology from which detailed anatomical comparison could be accurately performed. The final matrix describes 139 characters (60% of which are completely new or coded cladistically here for the first time) for 105 terminals representing 90% of extant poneromorph genera plus all other extant formicid subfamilies, with the exception of the rare Martilinae, and nonformicid outgroups. This matrix was analyzed with parsimony under both equal weights and implied weights (i.e., where characters are downweighted as a function of their homoplasy). The poneromorph subfamilies form a paraphyletic assemblage with the dorylomorphs, leptanillomorphs, and myrmicomorphs nested inside. All the above subfamilies are in turn reconstructed as nested within a paraphyletic group comprising the formicomophs + myrmeciomorphs. These results are in concordance with traditional precladistic views of the subfamily relationships but are markedly different from current estimates based on molecular data.
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