Thesis: Sc. D., Massachusetts Institute of Technology, Department of Biological Engineering, 2017. / This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. / Cataloged from student-submitted PDF version of thesis. / Includes bibliographical references (pages 75-83). / Reassortment is a reticulate evolutionary process that results in genome shuffling; the most prominent virus known to reassort is the influenza A virus. Methods to identify reassortant influenza viruses do not scale well beyond hundreds of isolates at a time, because they rely on phylogenetic reconstruction, a computationally expensive method. This thus hampers our ability to test systematically whether reassortment is associated with host switching events. In this thesis, I use phylogenetic heuristics to develop a new reassortment detection algorithm capable of finding reassortant viruses in tens of thousands viral isolates. Together with colleagues, we then use the algorithm to test whether reassortment events are over-represented in host switching events and whether reassortment is an alternative 'transmission strategy' for viral persistence. / by Eric J. Ma. / Sc. D.
Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/112387 |
Date | January 2017 |
Creators | Ma, Eric J. (Eric Jinglong) |
Contributors | Jonathan A. Runstadler., Massachusetts Institute of Technology. Department of Biological Engineering., Massachusetts Institute of Technology. Department of Biological Engineering. |
Publisher | Massachusetts Institute of Technology |
Source Sets | M.I.T. Theses and Dissertation |
Language | English |
Detected Language | English |
Type | Thesis |
Format | 92 pages, application/pdf |
Rights | MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission., http://dspace.mit.edu/handle/1721.1/7582 |
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