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- W750692191 abstract "EVALUATING DNA METABARCODING FOR BETA DIVERSITY ANALYSIS: A STUDY OF COSTA RICAN DRY FOREST ARTHROPODS AND THEIR ASSOCIATED BACTERIA Lisa Ledger Advisor: University of Guelph, 2015 Professor M. Hajibabaei This thesis is an evaluation of DNA metabarcoding as a method for measuring beta diversity in both terrestrial arthropods and their associated bacterial groups. Malaise-trapped terrestrial arthropods were collected from three plots of tropical dry forest in the Area de Conservacion Guanacaste, Costa Rica with differing land use histories. Following a bulk DNA extraction, multiple primer sets for cytochrome C oxidase I (COI) and the 16S ribosomal subunit (16S) were used to amplify barcoding markers. The DNA was sequenced on the Illumina MiSeq platform and both taxonomically classified and clustered into operational taxonomic units (OTUs). Significant beta diversity can be observed with both taxonomic data and OTUs, for both arthropods and bacteria, with OTUs exceeding taxonomic identification at both capturing the available sequence data and capturing observed beta diversity. This work demonstrates the potential of DNA metabarcoding for biodiversity assessment of species rich groups such as tropical arthropods." @default.
- W750692191 created "2016-06-24" @default.
- W750692191 creator A5018015581 @default.
- W750692191 date "2015-06-12" @default.
- W750692191 modified "2023-09-26" @default.
- W750692191 title "Evaluating DNA metabarcoding for beta diversity analysis: a study of Costa Rican dry forest arthropods and their associated bacteria" @default.
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