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On Pleiotropy and Evolutionary Dynamics in the Budding Yeast Saccharomyces cerevisiae- [electronic resource]
On Pleiotropy and Evolutionary Dynamics in the Budding Yeast Saccharomyces cerevisiae- [electronic resource]
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214100444
- ISBN
- 9798379613013
- DDC
- 574
- 서명/저자
- On Pleiotropy and Evolutionary Dynamics in the Budding Yeast Saccharomyces cerevisiae - [electronic resource]
- 발행사항
- [S.l.]: : Harvard University., 2023
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2023
- 형태사항
- 1 online resource(181 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
- 주기사항
- Advisor: Desai, Michael.
- 학위논문주기
- Thesis (Ph.D.)--Harvard University, 2023.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약Evolving populations optimize over complex fitness landscapes in a way that allows for biological innovations to arise. Understanding of this process requires data on the specific statistical and dynamical aspects that are relevant in natural biological systems, as it is not clear that they can be inferred from first principles. In particular, one property that is crucial to the way populations evolve in a complex environment is the distribution of pleiotropic effects of novel mutations, that is, how it is that mutations affect different phenotypes or fitness in different environments. In this dissertation, I present three different research projects where we use data to directly investigate aspects of the evolutionary dynamics and statistics of the pleiotropic genetic basis of phenotypes in the budding yeast Saccharomyces cerevisiae. Chapter 2 makes use of genetic engineering and robotics to substantially increase statistical power in yeast quantitative trait loci studies, which we use to uncover highly polygenic, pleiotropic, and epistatic genetic architectures of complex traits. Chapter 3 employs temporal metagenomic sequencing of fermenting yeast sourced from bioethanol refineries to explore the evolutionary dynamics in very large and genetically diverse microbial populations, revealing a complex picture that calls for eco-evolutionary explanations. Chapter 4 adopts a recently-developed high-resolution lineage tracking technique to investigate the adaptation of two asexual budding yeast populations subjected to fluctuating environments, with evolutionary outcomes largely depending on the pleiotropic effects of novel mutations and the environmental regime.
- 일반주제명
- Biology.
- 일반주제명
- Evolution & development.
- 일반주제명
- Genetics.
- 키워드
- Budding yeast
- 키워드
- Pleiotropy
- 기타저자
- Harvard University Biology Organismic and Evolutionary
- 기본자료저록
- Dissertations Abstracts International. 84-12B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520240214100444
■006m o d
■007cr#unu||||||||
■020 ▼a9798379613013
■035 ▼a(MiAaPQ)AAI30491622
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a574
■1001 ▼aRego-Costa, Artur.▼0(orcid)0000-0001-9604-4208
■24510▼aOn Pleiotropy and Evolutionary Dynamics in the Budding Yeast Saccharomyces cerevisiae▼h[electronic resource]
■260 ▼a[S.l.]:▼bHarvard University. ▼c2023
■260 1▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2023
■300 ▼a1 online resource(181 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 84-12, Section: B.
■500 ▼aAdvisor: Desai, Michael.
■5021 ▼aThesis (Ph.D.)--Harvard University, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aEvolving populations optimize over complex fitness landscapes in a way that allows for biological innovations to arise. Understanding of this process requires data on the specific statistical and dynamical aspects that are relevant in natural biological systems, as it is not clear that they can be inferred from first principles. In particular, one property that is crucial to the way populations evolve in a complex environment is the distribution of pleiotropic effects of novel mutations, that is, how it is that mutations affect different phenotypes or fitness in different environments. In this dissertation, I present three different research projects where we use data to directly investigate aspects of the evolutionary dynamics and statistics of the pleiotropic genetic basis of phenotypes in the budding yeast Saccharomyces cerevisiae. Chapter 2 makes use of genetic engineering and robotics to substantially increase statistical power in yeast quantitative trait loci studies, which we use to uncover highly polygenic, pleiotropic, and epistatic genetic architectures of complex traits. Chapter 3 employs temporal metagenomic sequencing of fermenting yeast sourced from bioethanol refineries to explore the evolutionary dynamics in very large and genetically diverse microbial populations, revealing a complex picture that calls for eco-evolutionary explanations. Chapter 4 adopts a recently-developed high-resolution lineage tracking technique to investigate the adaptation of two asexual budding yeast populations subjected to fluctuating environments, with evolutionary outcomes largely depending on the pleiotropic effects of novel mutations and the environmental regime.
■590 ▼aSchool code: 0084.
■650 4▼aBiology.
■650 4▼aEvolution & development.
■650 4▼aGenetics.
■653 ▼aSaccharomyces cerevisiae
■653 ▼aEvolutionary dynamics
■653 ▼aBudding yeast
■653 ▼aPleiotropy
■690 ▼a0306
■690 ▼a0412
■690 ▼a0369
■71020▼aHarvard University▼bBiology, Organismic and Evolutionary.
■7730 ▼tDissertations Abstracts International▼g84-12B.
■773 ▼tDissertation Abstract International
■790 ▼a0084
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16932336▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
