[Show abstract][Hide abstract] ABSTRACT: The phylogenetic status of the infra order Pecora is controversial, even though it is supported by paleontological, morphological, and molecular evidence. We analyzed two mitochondrial genes (i.e., 16S rRNA and cytochrome b) to resolve the phylogenetic position of pecoran species, i.e., the Bovidae, Cervidae, and Moschidae endemic to the Indian subcontinent. We used phylogenetic analysis based on different algorithms, including neighbor joining, maximum parsimony, Bayesian inference, maximum likelihood, minimum evolution, median joining network, along with multidimensional scaling, and DNA word analysis. Our results established the basal position of Tragulidae and the monophyly of the infra order Pecora within the Suborder Ruminantia. Our results also demonstrated that Bovidae, Cervidae, and Moschidae are allied with the placement of musk deer as more closely related to bovids than to cervids. Molecular dating based on sequence analysis shows that the radiation of Pecora occurred during the early Oligocene and that the majority of the pecoran families radiated and dispersed rapidly during the Oligocene/Miocene transition.
Molecular Phylogenetics and Evolution 04/2007; 42(3):585-97. · 4.07 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: In an effort to develop species-specific identification markers, we examined genetic variants and molecular signatures within genes encoding mitochondrial cytochrome b and 16S rRNA in eight endangered Pecoran species endemic to the Indian peninsula. Our results revealed that the cytochrome b gene exhibited higher sequence diversity than the 16S rRNA gene, both between and within species. However, the 16S rRNA gene harboured a larger number of species-specific mutation sites compared with the cytochrome b gene, suggesting that it could be useful for species identification. Indeed, we successfully used 'forensically informative nucleotide sequencing' (FINS) analysis of the 16S rRNA gene to identify two previously unknown biological specimens.