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      Inferring the Phylogeny of Bovidae Using Mitochondrial DNA Sequences: Resolving Power of Individual Genes Relative to Complete Genomes

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          Abstract

          Molecular techniques that assess biodiversity through the analysis of a small segment of mitochondrial genome have been getting wide attention for inferring the mammalian diversity. Due to their highly conserved nature, specific mitochondrial genes offer a promising tool for phylogenetic analysis. However, there is no established criteria for selecting the typical mitochondrial DNA (mtDNA) segments to achieve a greater resolving power. We therefore chose the family Bovidae as a model and compared the tree-topologies resulting from the commonly used and phylogenetically-informative genes including 16S rRNA, 12S rRNA, COI, Cyt b and D-loop with respect to complete mitochondrial genome. The tree topologies from the whole mitochondrial genome of 12 species were not identical albeit similar with those resulting from the five individual genes mentioned above. High bootstrap values were observed for mtDNA compared with that of any single gene. The average pair-wise sequence divergence using different genetic modes was found to be: D-loop (0.229) > Cyt b (0.159) > COI or complete mtDNA (0.143) > 12S rRNA (0.094) > 16S rRNA (0.091). The tree resulting from complete mtDNA clearly separated the 12 taxa of Bovidae into 3 major clusters, one cluster each for subfamily Cervinae and Bovinae and the third cluster comprised the distinctive clades of Caprinae and Antilopinae. However, jumping clades of Antilopinae were observed while using the individual genes. This study showed that Bison bison and Bos Taurus have very close phylogenetic relationship compared to Bubalus bubalis (Bovinae), irrespective of the method used. Our findings suggest that complete mtDNA genome provides most reliable understanding of complex phylogenetic relationships while the reliability of individual gene trees should be verified with high bootstrap support.

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          Biological identifications through DNA barcodes.

          Although much biological research depends upon species diagnoses, taxonomic expertise is collapsing. We are convinced that the sole prospect for a sustainable identification capability lies in the construction of systems that employ DNA sequences as taxon 'barcodes'. We establish that the mitochondrial gene cytochrome c oxidase I (COI) can serve as the core of a global bioidentification system for animals. First, we demonstrate that COI profiles, derived from the low-density sampling of higher taxonomic categories, ordinarily assign newly analysed taxa to the appropriate phylum or order. Second, we demonstrate that species-level assignments can be obtained by creating comprehensive COI profiles. A model COI profile, based upon the analysis of a single individual from each of 200 closely allied species of lepidopterans, was 100% successful in correctly identifying subsequent specimens. When fully developed, a COI identification system will provide a reliable, cost-effective and accessible solution to the current problem of species identification. Its assembly will also generate important new insights into the diversification of life and the rules of molecular evolution.
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            The principles o f classification and a classification of Mammals. By George Gaylord Simpson. Bull. Am. Mus. Nat. Hist., New York, vo1. 85, xvi + 350 pp., 1945

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              Single mitochondrial gene barcodes reliably identify sister-species in diverse clades of birds

              Background DNA barcoding of life using a standardized COI sequence was proposed as a species identification system, and as a method for detecting putative new species. Previous tests in birds showed that individuals can be correctly assigned to species in ~94% of the cases and suggested a threshold of 10× mean intraspecific difference to detect potential new species. However, these tests were criticized because they were based on a single maternally inherited gene rather than multiple nuclear genes, did not compare phylogenetically identified sister species, and thus likely overestimated the efficacy of DNA barcodes in identifying species. Results To test the efficacy of DNA barcodes we compared ~650 bp of COI in 60 sister-species pairs identified in multigene phylogenies from 10 orders of birds. In all pairs, individuals of each species were monophyletic in a neighbor-joining (NJ) tree, and each species possessed fixed mutational differences distinguishing them from their sister species. Consequently, individuals were correctly assigned to species using a statistical coalescent framework. A coalescent test of taxonomic distinctiveness based on chance occurrence of reciprocal monophyly in two lineages was verified in known sister species, and used to identify recently separated lineages that represent putative species. This approach avoids the use of a universal distance cutoff which is invalidated by variation in times to common ancestry of sister species and in rates of evolution. Conclusion Closely related sister species of birds can be identified reliably by barcodes of fixed diagnostic substitutions in COI sequences, verifying coalescent-based statistical tests of reciprocal monophyly for taxonomic distinctiveness. Contrary to recent criticisms, a single DNA barcode is a rapid way to discover monophyletic lineages within a metapopulation that might represent undiscovered cryptic species, as envisaged in the unified species concept. This identifies a smaller set of lineages that can also be tested independently for species status with multiple nuclear gene approaches and other phenotypic characters.
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                Author and article information

                Journal
                Evol Bioinform Online
                101256319
                Evolutionary Bioinformatics Online
                Libertas Academica
                1176-9343
                2012
                20 February 2012
                : 8
                : 139-150
                Affiliations
                [1 ]Molecular Fingerprinting and Biodiversity Unit, Prince Sultan Research Chair for Environment and Wildlife, Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia
                [2 ]Department of Biochemistry, College of Science, King Saud University, Riyadh, Saudi Arabia
                Author notes
                Corresponding author email: khan_haseeb@ 123456yahoo.com
                Article
                ebo-8-2012-139
                10.4137/EBO.S8897
                3290115
                22399841
                c6285d32-bc73-4a52-be2f-8f1840289e58
                © the author(s), publisher and licensee Libertas Academica Ltd.

                This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited.

                History
                Categories
                Original Research

                Bioinformatics & Computational biology
                16s rrna,cytochrome b,bovidae,mitochondrial genome,12s rrna,cytochrome oxidase 1,phylogenetic analysis,d-loop

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