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Systematic Biology 2005 54(6):865-894; doi:10.1080/10635150500232769
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© 2005 Society of Systematic Biologists

Mosaics of Convergences and Noise in Morphological Phylogenies: What's in a Viverrid-Like Carnivoran?

Philippe Gaubert1,3, W. Chris Wozencraft2, Pedro Cordeiro-Estrela1 and Géraldine Veron1

1 Unité Origine, Structure et Evolution de la Biodiversité (CNRS UMR 5202), Département Systématique et Evolution, Muséum National d'Histoire Naturelle, Zoologie: Mammifères et Oiseaux CP 51, 57 rue Cuvier, 75231 Paris Cedex 05, France
2 Division of Natural Sciences, Bethel College 1001 W. McKinley Avenue, Mishawaka, Indiana 46545, USA
3 Current address: Departamento de Biología Aplicada, Estación Biológica de Doñana (CSIC), Avda. María Luisa s/n Pabellón del Perú, 41013 Sevilla, Spain; E-mail: gaubert{at}ebd.csic.es

Edited by Olaf Bininda-Emonds


   Abstract

Adaptive convergence in morphological characters has not been thoroughly investigated, and the processes by which phylogenetic relationships may be misled by morphological convergence remains unclear. We undertook a case study on the morphological evolution of viverrid-like feliformians (Nandinia, Cryptoprocta, Fossa, Eupleres, Prionodon) and built the largest morphological matrix concerning the suborder Feliformia to date. A total of 349 characters grouped into four anatomical partitions were used for all species of Viverridae and viverrid-like taxa plus representatives of the Felidae, Hyaenidae, Herpestidae, and one Malagasy mongoose. Recent molecular phylogenetic analyses suggest that viverrid-like morphotypes appeared independently at least three times during feliformian evolution. We thus used a synthetic molecular tree to assess morphological evolutionary patterns characterizing the viverrid-like taxa. We examined phylogenetic signal, convergence and noise in morphological characters using (a) tree-length distribution (g1), (b) partitioned Bremer support, (c) RI values and their distribution, (d) respective contributions of diagnostic synapomorphies at the nodes for each partition, (e) patterns of shared convergences among viverrid-like taxa and other feliformian lineages, (f) tree-length differences among alternative hypotheses, and (g) the successive removal of convergent character states from the original matrix. In addition, the lability of complex morphological structures was assessed by mapping them onto the synthetic molecular tree. The unconstrained morphological analysis yielded phylogenetic groupings that closely reflected traditional classification. The use of a synthetic molecular tree (constraint) combined with our thorough morphological investigations revealed the mosaics of convergences likely to have contributed to part of the historical uncertainty over viverrid classification. It also showed that complex morphological structures could be subjected to reversible evolutionary trends. The morphological matrix proved useful in characterizing several feliformian clades with diagnostic synapomorphies. These results support the removal from the traditionally held Viverridae of several viverrid-like taxa into three distinct families: Nandiniidae (Nandinia), Prionodontidae (Prionodon), and the newly defined Eupleridae (including Cryptoprocta, Fossa, Eupleres plus all "mongoose-like" Malagasy taxa). No clearly "phylogenetically misleading" data subsets could be identified, and the great majority of morphological convergences appeared to be nonadaptive. The multiple approaches used in this study revealed that the most disruptive element with regards to morphological phylogenetic reconstruction was noise, which blured the expression of phylogenetic signal. This study demonstrates the crucial need to consider independent (molecular) phylogenies in order to produce reliable evolutionary hypotheses and should promote a new approach to the definition of morphological characters in mammals.

Keywords: Constrained analysis; convergence; evolutionary scenario; Feliformia; morphology; noise; phylogenetic signal; phylogeny; Viverridae

Received July 3, 2004; Revised October 27, 2004; Accepted March 31, 2005
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