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020 ▼a 9780438323797
035 ▼a (MiAaPQ)AAI10791858
035 ▼a (MiAaPQ)berkeley:17725
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 574.191
1001 ▼a Gralka, Matti.
24510 ▼a Evolutionary Dynamics in Microbial Colonies.
260 ▼a [S.l.] : ▼b University of California, Berkeley., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 269 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Adviser: Oskar Hallatschek.
5021 ▼a Thesis (Ph.D.)--University of California, Berkeley, 2018.
520 ▼a Traditionally, evolutionary biology has mostly taken a retrospective view, looking backwards in time to infer past evolutionary dynamics. Over the past 30 years, evolution experiments in the laboratory have become a valuable complementary techni
520 ▼a Microbial populations in the wild face vastly more complex conditions: they grow as spatially structured communities called microbial biofilms, often consisting of interacting mixtures of different species fulfilling different purposes, subject
520 ▼a In this dissertation, I approach this question using one of the simplest possible ecological aspects: the fact that most populations grow in spatially structured communities. Using microbial colonies as an experimental model system, I examine th
520 ▼a Overall, the results presented in this thesis suggest that spatial structure can have a momentous influence on the evolutionary dynamics of many dense cellular populations like biofilms and tumors: not only do the dynamics of adaptation change q
590 ▼a School code: 0028.
650 4 ▼a Biophysics.
650 4 ▼a Physics.
650 4 ▼a Evolution & development.
690 ▼a 0786
690 ▼a 0605
690 ▼a 0412
71020 ▼a University of California, Berkeley. ▼b Physics.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0028
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997666 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자