東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Genome-Scale Insights Into the Under...

Hale, Joseph,

FindBook

Google Book

Amazon

博客來

Genome-Scale Insights Into the Underlying Genetics of Background Effects /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Genome-Scale Insights Into the Underlying Genetics of Background Effects // Joseph Hale.
作者:	Hale, Joseph,
面頁冊數:	1 electronic resource (202 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-09, Section: B.
Contained By:	Dissertations Abstracts International85-09B.
標題:	Molecular biology. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31139564
ISBN:	9798381967333

Genome-Scale Insights Into the Underlying Genetics of Background Effects /
Hale, Joseph,

Genome-Scale Insights Into the Underlying Genetics of Background Effects /Joseph Hale. - 1 electronic resource (202 pages)

Source: Dissertations Abstracts International, Volume: 85-09, Section: B.

A major goal of modern genetics is to fully understand how genetic variation influences phenotypic variation. A great deal of our knowledge on the genetic basis of phenotype comes from large-scale studies of many individuals. However, this does not always tell the entire story. The effects of genetic variants can be highly contextual, with some individuals exhibiting dramatically different responses to the same genetic variant. This phenomenon, known as a genetic background effect, means that simply understanding the average effect of a variant across an entire population may not translate to predictive power for individuals. Recent advances in DNA barcoding, sequencing, and CRISPR interference have made it possible to study these effects on an unprecedented scale, potentially enabling general, genome-scale insights into how genetic background effects play a role in determining phenotype. The aim of this dissertation is to utilize these new methods to provide a broad view into the background effects that occur in Saccharomyces cerevisiae. In this model system, I investigate how background effects alter the impact of spontaneous mutations, standing genetic variants segregating in a cross, and new genetic perturbations introduced through CRISPR interference. In chapter two, I investigate a specific mutation with a very high degree of variable expressivity, revealing that over 15 separate loci collectively influence the mutation's phenotypic impact. In chapter three, I use a similar panel of diploid yeast strains to investigate the relationship between additivity, dominance, and epistasis in the context of standing genetic variation, mapping the loci that underlie these effects across seven environments. In chapter four, I measure the effects of perturbing ~1,700 yeast genes across a panel of ~170 haploid yeast genotypes, identifying over 450 genetic perturbations with background-specific effects and mapping their underlying loci. These studies provide several genome-scale observations into the mechanisms of background effects as a whole and their underlying genetic bases.

English

ISBN: 9798381967333Subjects--Topical Terms:

517296
Molecular biology.
Subjects--Index Terms:

Background effects

Genome-Scale Insights Into the Underlying Genetics of Background Effects /
LDR:03620nmm a22004573i 4500 001 2428848
005 20250420214335.5
006 m o d
007 cr|nu||||||||
008 261011s2024 miu||||||m |||||||eng d
020 $a 9798381967333
035 $a (MiAaPQD)AAI31139564
035 $a AAI31139564
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Hale, Joseph, $e author. $3 3816322
245 1 0 $a Genome-Scale Insights Into the Underlying Genetics of Background Effects / $c Joseph Hale.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (202 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 85-09, Section: B.
500 $a Advisors: Ehrenreich, Ian Committee members: Aparicio, Oscar; Dean, Matthew; Mooney, Jazlyn.
502 $b Ph.D. $c University of Southern California $d 2024.
520 $a A major goal of modern genetics is to fully understand how genetic variation influences phenotypic variation. A great deal of our knowledge on the genetic basis of phenotype comes from large-scale studies of many individuals. However, this does not always tell the entire story. The effects of genetic variants can be highly contextual, with some individuals exhibiting dramatically different responses to the same genetic variant. This phenomenon, known as a genetic background effect, means that simply understanding the average effect of a variant across an entire population may not translate to predictive power for individuals. Recent advances in DNA barcoding, sequencing, and CRISPR interference have made it possible to study these effects on an unprecedented scale, potentially enabling general, genome-scale insights into how genetic background effects play a role in determining phenotype. The aim of this dissertation is to utilize these new methods to provide a broad view into the background effects that occur in Saccharomyces cerevisiae. In this model system, I investigate how background effects alter the impact of spontaneous mutations, standing genetic variants segregating in a cross, and new genetic perturbations introduced through CRISPR interference. In chapter two, I investigate a specific mutation with a very high degree of variable expressivity, revealing that over 15 separate loci collectively influence the mutation's phenotypic impact. In chapter three, I use a similar panel of diploid yeast strains to investigate the relationship between additivity, dominance, and epistasis in the context of standing genetic variation, mapping the loci that underlie these effects across seven environments. In chapter four, I measure the effects of perturbing ~1,700 yeast genes across a panel of ~170 haploid yeast genotypes, identifying over 450 genetic perturbations with background-specific effects and mapping their underlying loci. These studies provide several genome-scale observations into the mechanisms of background effects as a whole and their underlying genetic bases.
546 $a English
590 $a School code: 0208
650 4 $a Molecular biology. $3 517296
650 4 $a Biology. $3 522710
650 4 $a Bioengineering. $3 657580
650 4 $a Genetics. $3 530508
653 $a Background effects
653 $a Complex traits
653 $a DNA barcoding
653 $a Saccharomyces cerevisiae
653 $a CRISPR interference
653 $a Genetic perturbations
690 $a 0307
690 $a 0202
690 $a 0306
690 $a 0369
710 2 $a University of Southern California. $b Molecular Biology. $e degree granting institution. $3 3816323
720 1 $a Ehrenreich, Ian $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 85-09B.
790 $a 0208
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31139564