4.2 Article

Combining geometric morphometrics and pattern recognition to identify interspecific patterns of skull variation:: case study in sympatric Argentinian species of the genus Calomys (Rodentia: Cricetidae: Sigmodontinae)

Journal

BIOLOGICAL JOURNAL OF THE LINNEAN SOCIETY
Volume 94, Issue 2, Pages 365-378

Publisher

OXFORD UNIV PRESS
DOI: 10.1111/j.1095-8312.2008.00982.x

Keywords

biodiversity assessments; Junin virus; phenotypic clusters; size; systematics

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Sympatric species of vesper mice Calomys laucha and Calomys musculinus are difficult to discriminate, especially in natural history collections where they are identified by external body measurements and cranial characteristics. Accurate identification of these two species can be important because only one of them, C. musculinus, is a Junin virus reservoir, the aetiological agent of the Argentine Hemorragic Fever. Research has focused into the development of molecular techniques to unambiguously identify these species. We apply statistical procedures from the field of pattern recognition to three-dimensional geometric morphometric data based on skull landmarks to identify sympatric species C. laucha, C. musculinus and Calomys venustus. Pattern recognition techniques correctly identified the three species without any prior information on specimen identity. By contrast to expectations, C. venustus differed from the other two species mainly on the basis of shape and not by its centroid size. The main sources of difference between C. laucha and C. musculinus were of shape, specifically localized at the landmarks defined by: (1) the sutures between the premaxillaries, the nasals and the frontals; (2) the sutures between the parietals, the frontals and the squamosals; and (3) the suture between the parietals and the interparietal. Nevertheless, allometries dominate the patterns of interspecific variation between these latter species and may partly explain past identification difficulties. Morphological evolution is discussed. The need for objective methods to define phenotypic clusters is highlighted with respect to the need for fast and precise biodiversity assessments. (C) 2008 The Linnean Society of London, Biological Journal of the Linnean Society, 2008, 94, 365-378.

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