Assessing the Phylogenetic Utility of DNA Barcoding Using the New Zealand Cicada Genus Kikihia

DNA Barcoding (Hebert et al. 2003) has the potential to revolutionize the process of identifying and cataloguing biodiversity; however, significant controversy surrounds some of the proposed applications. In the seven years since DNA barcoding was introduced, the Web of Science records more than 600 studies that have weighed the pros and cons of this procedure. Unfortunately, the scientific community has been unable to come to any consensus on what threshold to use to differentiate species or even whether the barcoding region provides enough information to serve as an accurate species identification tool. The purpose of my thesis is to analyze mitochondrial DNA (mtDNA) barcoding’s potential to identify known species and provide a well-resolved phylogeny for the New Zealand cicada genus Kikihia. In order to do this, I created a phylogenetic tree for species in the genus Kikihia based solely on the barcoding region and compared it to a phylogeny previously created by Marshall et al. (2008) that benefits from information from other mtDNA and nuclear genes as well as species-specific song data. I determined how well the barcoding region delimits species that have been recognized based on morphology and song. In addition, I looked at the effect of sampling on the success of barcoding studies. I analyzed subsets of a larger, more densely sampled dataset for the Kikihia Muta Group to determine which aspects of my sampling strategy led to the most accurate identifications. Since DNA barcoding would by definition have problems in diagnosing hybrid individuals, I studied two species (K. “murihikua” and K. angusta) that are known to hybridize. Individuals that were not obvious hybrids (determined by morphology) were selected for the case study. Phylogenetic analysis of the barcoding region revealed insights into the reasons these two species could not be successfully differentiated using barcoding alone.

Citation Searching: Search Smarter & Find More

At the University of Connecticut, we have been enticing graduate students to join graduate student trainers to learn how to answer the following questions and improve the breadth of their research: Do you need to find articles published outside your primary discipline? What are some seminal articles in your field? Have you ever wanted to know who cited an article you wrote? We are participating in Elsevier's Student Ambassador Program (SAmP) in which graduate students train their peers on "citation searching" research using Scopus and Web of Science, two tremendous citation databases. We are in the fourth semester of these training programs, and they are wildly successful: We have offered more than 30 classes and taught more than 350 students from March 2007 through March 2008.