Patterns of Evolution in Gobies (Teleostei: Gobiidae): a Multi-Scale Phylogenetic Investigation
PATTERNS OF EVOLUTION IN GOBIES (TELEOSTEI: GOBIIDAE): A MULTI-SCALE PHYLOGENETIC INVESTIGATION A Dissertation by LUKE MICHAEL TORNABENE BS, Hofstra University, 2007 MS, Texas A&M University-Corpus Christi, 2010 Submitted in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY in MARINE BIOLOGY Texas A&M University-Corpus Christi Corpus Christi, Texas December 2014 © Luke Michael Tornabene All Rights Reserved December 2014 PATTERNS OF EVOLUTION IN GOBIES (TELEOSTEI: GOBIIDAE): A MULTI-SCALE PHYLOGENETIC INVESTIGATION A Dissertation by LUKE MICHAEL TORNABENE This dissertation meets the standards for scope and quality of Texas A&M University-Corpus Christi and is hereby approved. Frank L. Pezold, PhD Chris Bird, PhD Chair Committee Member Kevin W. Conway, PhD James D. Hogan, PhD Committee Member Committee Member Lea-Der Chen, PhD Graduate Faculty Representative December 2014 ABSTRACT The family of fishes commonly known as gobies (Teleostei: Gobiidae) is one of the most diverse lineages of vertebrates in the world. With more than 1700 species of gobies spread among more than 200 genera, gobies are the most species-rich family of marine fishes. Gobies can be found in nearly every aquatic habitat on earth, and are often the most diverse and numerically abundant fishes in tropical and subtropical habitats, especially coral reefs. Their remarkable taxonomic, morphological and ecological diversity make them an ideal model group for studying the processes driving taxonomic and phenotypic diversification in aquatic vertebrates. Unfortunately the phylogenetic relationships of many groups of gobies are poorly resolved, obscuring our understanding of the evolution of their ecological diversity. This dissertation is a multi-scale phylogenetic study that aims to clarify phylogenetic relationships across the Gobiidae and demonstrate the utility of this family for studies of macroevolution and speciation at multiple evolutionary timescales.
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