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http://hdl.handle.net/11375/18763
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DC Field | Value | Language |
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dc.contributor.advisor | Xu, Jianping | - |
dc.contributor.author | Vogan, Aaron A. | - |
dc.date.accessioned | 2016-01-26T14:55:50Z | - |
dc.date.available | 2016-01-26T14:55:50Z | - |
dc.date.issued | 2016 | - |
dc.identifier.uri | http://hdl.handle.net/11375/18763 | - |
dc.description.abstract | Cryptococcus neoformans is a deadly human fungal pathogen that primarily affects immunocompromised individuals. Matings with the closely related species Crypto- coccus deneoformans produce viable, yet atypical offspring. Previous research has demonstrated that the hybrids are aneuploid or diploid, and have low germination rates and suppressed recombination. In addition, numerous large-scale genomic re- arrangements have been identified between C. deneoformans and C. neoformans. We conducted a cross between CDC15, a clinical drug-resistant isolate of C. neoformans and JEC20, a laboratory derived strain of C. deneoformans. We collected 230 hy- brid progeny and determined their genotypes using codominant PCR-RFLP markers. Three separate analyses were conducted in order to better understand the genet- ics of these hybrids. These revealed that there is mitotic recombination during the production of the hybrids, that there are genetic incompatibilities between C. neofor- mans and C. deneoformans, and that differences between the two species in virulence- related traits are controlled by multiple quantitative genetic loci. The results not only improve our understanding of the hybrid progeny themselves, but also of Cryptococcus in general. | en_US |
dc.language.iso | en | en_US |
dc.title | Genetic Analysis of a Hybrid Cross between Cryptococcus neoformans and Cryptococcus deneoformans | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Biology | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Doctor of Philosophy (PhD) | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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aaron_thesis.pdf | Thesis of Aaron Vogan | 4.31 MB | Adobe PDF | View/Open |
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