Evolution of gene expression in humans and yeast

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Abstract/Contents

Abstract
Examples of evolution are both the inspiration and the validation for the theories of evolutionary biology. To identify examples of evolution, genetic data are often used because evolution acts on genetic variation. But despite the utility of genetic data, we are limited in depth of our understanding of evolution because of the challenge in connecting genetic variation with phenotypes. One key strategy to overcome this challenge is to investigate gene expression. In this dissertation, I present two frameworks for identifying genetic variants that associate with gene expression and how we used these frameworks to identify new examples of evolution. Chapter 2 presents a framework for studying gene-by-environment interactions using gene expression. This approach was applied to sun-exposure-dependent gene expression data in humans and ultimately identified a genetic variant under local adaptation. Chapter 3 investigates high-resolution mapping of regulatory variants in yeast. This approach was used to identify gene expression evolution in clinical and non-clinical isolates of yeast. Together, these chapters present frameworks for studying the connection between DNA variation, gene expression, and their evolutionary consequences.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2018; ©2018
Publication date 2018; 2018
Issuance monographic
Language English

Creators/Contributors

Author Kita, Ryosuke
Degree supervisor Fraser, Hunter B
Thesis advisor Fraser, Hunter B
Thesis advisor Feldman, Marcus W
Thesis advisor Montgomery, Stephen, 1979-
Thesis advisor Sherlock, Gavin
Degree committee member Feldman, Marcus W
Degree committee member Montgomery, Stephen, 1979-
Degree committee member Sherlock, Gavin
Associated with Stanford University, Department of Biology.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Ryosuke Kita.
Note Submitted to the Department of Biology.
Thesis Thesis Ph.D. Stanford University 2018.
Location electronic resource

Access conditions

Copyright
© 2018 by Ryosuke Kita
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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