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020 ▼a 9780438126060
035 ▼a (MiAaPQ)AAI10903000
035 ▼a (MiAaPQ)umichrackham:001264
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 576.6
1001 ▼a McCrone, John T., IV.
24510 ▼a Influenza Virus Evolution within and Between Human Hosts.
260 ▼a [S.l.] : ▼b University of Michigan., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 173 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Adam Lauring.
5021 ▼a Thesis (Ph.D.)--University of Michigan, 2018.
520 ▼a Rapid adaptive evolution significantly contributes to the size and severity of seasonal influenza epidemics. While influenza evolution has been well defined at the global scale, these dynamics ultimately derive from processes that take place wit
520 ▼a In my thesis, I have applied an empirically-validated, next-generation sequencing approach to over 300 patient-derived samples from two vaccinated cohorts to define influenza evolution within and between naturally infected individuals. I compare
520 ▼a In the second study, I used quantitative models to define influenza virus dynamics in individuals enrolled in a prospective, community-based cohort. Sequence data from 35 serially sampled individuals suggested that within-host populations are dy
520 ▼a These data suggest that contrary to the global dynamics, positive selection is inefficient at the level of the individual host. Genetic drift and other stochastic processes likely dominate the host-level evolution of influenza viruses.
590 ▼a School code: 0127.
650 4 ▼a Virology.
690 ▼a 0720
71020 ▼a University of Michigan. ▼b Microbiology & Immunology.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0127
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000508 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자