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A new bioinformatics pipeline to reveal the correlates of molecular evolutionary rates in ray-finned fishes

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dc.contributor.advisor Adamowicz, Sarah
dc.contributor.advisor Feng, Zeny
dc.contributor.author May, Jacqueline
dc.date.accessioned 2017-10-12T13:50:05Z
dc.date.available 2017-10-12T13:50:05Z
dc.date.copyright 2017-10
dc.date.created 2017-10-02
dc.date.issued 2017-10-12
dc.identifier.uri http://hdl.handle.net/10214/11918
dc.description.abstract This thesis entails a multivariable investigation of molecular rate correlates in ray-finned fishes through development of a bioinformatics pipeline. The pipeline first matches data for 32 ecological traits with evolutionary rate measurements of the mitochondrial cytochrome c oxidase subunit I (COI) barcode region for over 6000 fish species. Linear regression analyses are then performed to identify those traits that contribute most to molecular rate variation, accounting for phylogenetic non-independence. The utility of the pipeline for other researchers and the potential for further molecular rate applications are then discussed. The results indicate that biological traits such as age at maturity, longevity, and body size are more general predictors of fish COI evolution rates than environmental factors such as temperature. This thesis showcases the use of bioinformatics tools to analyze different types of biological data and emphasizes the usage of multi-parameter studies to identify the most important sources of molecular rate variation. en_US
dc.description.sponsorship This research was funded by NSERC Discovery Grants to Dr. Sarah J. Adamowicz and Dr. Zeny Feng. en_US
dc.language.iso en en_US
dc.rights Attribution-ShareAlike 2.5 Canada *
dc.rights.uri http://creativecommons.org/licenses/by-sa/2.5/ca/ *
dc.subject Research Subject Categories en_US
dc.subject Bioinformatics en_US
dc.subject Molecular evolution en_US
dc.subject Molecular evolutionary rates en_US
dc.subject R programming language en_US
dc.subject Biodiversity en_US
dc.subject Fishes en_US
dc.subject DNA barcoding en_US
dc.title A new bioinformatics pipeline to reveal the correlates of molecular evolutionary rates in ray-finned fishes en_US
dc.type Thesis en_US
dc.degree.programme Bioinformatics en_US
dc.degree.name Master of Science en_US
dc.degree.department Department of Integrative Biology en_US
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