Evolution of gene expression in humans and yeast
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 |
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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 |
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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 |
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Genre | Text |
Bibliographic information
Statement of responsibility | Ryosuke Kita. |
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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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