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Population genetic variation in gene...

Townsend, Jeffrey Peter.

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Population genetic variation in gene expression: Modeling, measurement, and analysis.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Population genetic variation in gene expression: Modeling, measurement, and analysis./
作者:	Townsend, Jeffrey Peter.
面頁冊數:	163 p.
附註:	Adviser: Daniel L. Hartl.
Contained By:	Dissertation Abstracts International63-04B.
標題:	Biology, Microbiology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3051306
ISBN:	0493659285

Population genetic variation in gene expression: Modeling, measurement, and analysis.
Townsend, Jeffrey Peter.

Population genetic variation in gene expression: Modeling, measurement, and analysis. - 163 p.

Adviser: Daniel L. Hartl.

Thesis (Ph.D.)--Harvard University, 2002.

Evolutionary biologists seek to understand what biological factors display variation, are heritable, and influence differential reproduction, because factors with these characteristics lead to natural selection and are responsible for organic evolution. The variation upon which selection may act consists of individual differences within a population, and the question of whether variation in gene expression levels is present in natural populations of organisms has been addressed a number of times and in a number of ways. However, such studies have been subject to the criticism that the results acquired were anecdotal and unique to particular genes in particular laboratory strains. This thesis demonstrates for the first time on a global, genomic scale that there is such variation. First, the transcriptional and translational regulation of genes is modelled kinetically, with particular attention to the autoregulatory kinetics of transposable elements. Second, DNA microarray technology for measuring comparative gene expression is refined for the purpose of comparing natural isolates of the wine yeast <italic>Saccharomyces cerevisiae</italic>. One tetrad examined segregates 2 : 2 for a tissue-like filigreed colony morphology. Wholesale changes in metabolism, especially abundant expression of genes in amino acid biosynthetic pathways, are shown to segregate 2 : 2 as well. Thirdly, a method for the Bayesian analysis of gene expression levels that allows great freedom in experimental design and allows inference of both biological and statistical significance of effect across multiple comparisons is developed and tested on several published yeast microarray data sets. Fourth, this method is applied to the progeny and to the smooth-colonied parental strain, demonstrating the biological and statistical significance of hundreds of metabolic changes. Lastly, DNA microarrays are used to compare four natural isolates of <italic> S. cerevisiae</italic> from Montalcino, Italy, including M28. Remarkable variation in amino acid metabolism, sulfur assimilation and processing, and protein degradation, largely below a factor of two between any two isolates, is demonstrated using Bayesian analysis of gene expression levels. Genetic variation in gene expression among isolates from a natural population is demonstrated on a global scale, and thus may play a considerable role in adaptation to new or changing environments.

ISBN: 0493659285Subjects--Topical Terms:

1017734
Biology, Microbiology.

Population genetic variation in gene expression: Modeling, measurement, and analysis.
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