What can deep sequencing reveal about bacterial evolution? Diversity and dynamics in a biofilm

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Abstract/Contents

Abstract
This thesis explores the genetic variability of Synechococcus cyanobacteria found in a Yellowstone National Park hot spring with the aim of better understanding the evolutionary and ecological processes that give rise to bacterial diversity. The primary data used was deep, amplicon sequencing reads, and as these contain numerous sources of errors, the first chapter introduces an error model and a novel error correction algorithm. Using this algorithm, the second chapter describes statistical features of the diversity that suggest that this population is quasi-sexual — having a high rate of homologous recombination. The final chapter examines the diversity in greater detail, finding many puzzles and contradictory results, and ultimately concluding that this population reveals dynamics too rich -- a mixture of recombination, hitchhiking, deleterious mutations, epistasis, and dispersal in a meta-population -- to be adequately modeled by current population genetic theory.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2016
Issuance monographic
Language English

Creators/Contributors

Associated with Rosen, Michael Jeremy
Associated with Stanford University, Department of Applied Physics.
Primary advisor Fisher, Daniel
Thesis advisor Fisher, Daniel
Thesis advisor Doniach, S
Thesis advisor Holmes, Susan
Advisor Doniach, S
Advisor Holmes, Susan

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Michael Jeremy Rosen.
Note Submitted to the Department of Applied Physics.
Thesis Thesis (Ph.D.)--Stanford University, 2016.
Location electronic resource

Access conditions

Copyright
© 2016 by Michael Jeremy Rosen
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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