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Computational Biology Institute

Polymerase Chain Reaction

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Phage Cluster Relationships Identified Through Single Gene Analysis., Kyle C Smith, Eduardo Castro-Nallar, Joshua Nb Fisher, Donald P Breakwell, Julianne H Grose, Sandra H Burnett Jun 2013

Phage Cluster Relationships Identified Through Single Gene Analysis., Kyle C Smith, Eduardo Castro-Nallar, Joshua Nb Fisher, Donald P Breakwell, Julianne H Grose, Sandra H Burnett

Computational Biology Institute

BACKGROUND: Phylogenetic comparison of bacteriophages requires whole genome approaches such as dotplot analysis, genome pairwise maps, and gene content analysis. Currently mycobacteriophages, a highly studied phage group, are categorized into related clusters based on the comparative analysis of whole genome sequences. With the recent explosion of phage isolation, a simple method for phage cluster prediction would facilitate analysis of crude or complex samples without whole genome isolation and sequencing. The hypothesis of this study was that mycobacteriophage-cluster prediction is possible using comparison of a single, ubiquitous, semi-conserved gene. Tape Measure Protein (TMP) was selected to test the hypothesis because it …


Testing Phylogenetic Hypotheses Of The Subgenera Of The Freshwater Crayfish Genus Cambarus (Decapoda: Cambaridae)., Jesse W Breinholt, Megan L Porter, Keith A Crandall Jan 2012

Testing Phylogenetic Hypotheses Of The Subgenera Of The Freshwater Crayfish Genus Cambarus (Decapoda: Cambaridae)., Jesse W Breinholt, Megan L Porter, Keith A Crandall

Computational Biology Institute

BACKGROUND: The genus Cambarus is one of three most species rich crayfish genera in the Northern Hemisphere. The genus has its center of diversity in the Southern Appalachians of the United States and has been divided into 12 subgenera. Using Cambarus we test the correspondence of subgeneric designations based on morphology used in traditional crayfish taxonomy to the underlying evolutionary history for these crayfish. We further test for significant correlation and explanatory power of geographic distance, taxonomic model, and a habitat model to estimated phylogenetic distance with multiple variable regression.

METHODOLOGY/PRINCIPAL FINDINGS: We use three mitochondrial and one nuclear gene …