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Using high throughput yeast strain c...

Dean, Erik Jedediah.

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Using high throughput yeast strain construction and precision analysis tools to explore evolutionary processes.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Using high throughput yeast strain construction and precision analysis tools to explore evolutionary processes./
Author:	Dean, Erik Jedediah.
Description:	127 p.
Notes:	Adviser: Ronald W. Davis.
Contained By:	Dissertation Abstracts International68-12B.
Subject:	Biology, Genetics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3292342
ISBN:	9780549354086

Using high throughput yeast strain construction and precision analysis tools to explore evolutionary processes.
Dean, Erik Jedediah.

Using high throughput yeast strain construction and precision analysis tools to explore evolutionary processes. - 127 p.

Adviser: Ronald W. Davis.

Thesis (Ph.D.)--Stanford University, 2008.

Computational analyses of large scale sequence and functional data sets are rapidly generating models of genome evolution. These theories await empirical testing before they gain widespread acceptance. Saccharomyces cerevisiae is well positioned to facilitate the bulk of the testing of this expanding class of theories for several reasons: the extensive literature on yeast, recent technological advances that allow rapid high-throughput construction of large sets of strains, and large-scale precision measurements of various phenotypes. In this thesis, we take advantage of these features to begin probing the theories.

ISBN: 9780549354086Subjects--Topical Terms:

1017730
Biology, Genetics.

Using high throughput yeast strain construction and precision analysis tools to explore evolutionary processes.
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020 $a 9780549354086
035 $a (UMI)AAI3292342
035 $a AAI3292342
040 $a UMI $c UMI
100 1 $a Dean, Erik Jedediah. $3 1269383
245 1 0 $a Using high throughput yeast strain construction and precision analysis tools to explore evolutionary processes.
300 $a 127 p.
500 $a Adviser: Ronald W. Davis.
500 $a Source: Dissertation Abstracts International, Volume: 68-12, Section: B, page: 7778.
502 $a Thesis (Ph.D.)--Stanford University, 2008.
520 $a Computational analyses of large scale sequence and functional data sets are rapidly generating models of genome evolution. These theories await empirical testing before they gain widespread acceptance. Saccharomyces cerevisiae is well positioned to facilitate the bulk of the testing of this expanding class of theories for several reasons: the extensive literature on yeast, recent technological advances that allow rapid high-throughput construction of large sets of strains, and large-scale precision measurements of various phenotypes. In this thesis, we take advantage of these features to begin probing the theories.
520 $a In chapter 2 we address central issues regarding the evolution of duplicate genes. To test a large set of duplicate gene pairs for functional redundancy, we made strain carrying single gene and double gene deletions of the genes in each pair. Using fitness measurements for these strains we show that a substantial proportion duplicate gene pairs retain a significant degree of redundancy, in many cases after &sim;100 million years of divergence. We then used the data to show these genes contribute little new functionality in rich medium.
520 $a Chapter 3 describes the application of a technique useful for discovering allele specific contributions to growth. Reciprocal Hemizygosity Scanning (RHS) involves building hybrid strains that are identical except for the allele present for the gene under test. By looking for a difference in fitness between these two strains, allele specific differences in growth can be discovered. We tested a portion of the yeast genome for allele specific contributions to growth at high temperature, showing the allele of MKT1 derived from the strain YJM145 is more important to growth than the allele derived from the strain S1001.
520 $a For the project described in chapter 4 we created a genetic perturbation in a strain by moving an essential gene under the control of the GAL system. We genetically mapped a nonsense mutation in GAL80 that contributes to the regulatory reprogramming necessary for the cells to survive given this artificial genetic perturbation. In several parallel experimental populations we observed similar genetic changes, however this mutation is neither sufficient nor necessary for the regulatory reprogramming.
590 $a School code: 0212.
650 4 $a Biology, Genetics. $3 1017730
690 $a 0369
710 2 $a Stanford University. $3 754827
773 0 $t Dissertation Abstracts International $g 68-12B.
790 $a 0212
790 1 0 $a Davis, Ronald W., $e advisor
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3292342