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Leveraging the genotype-phenotype relationship to understand the traditional and novel facets of cell biology

Parikh, Saurin Bipin (2024) Leveraging the genotype-phenotype relationship to understand the traditional and novel facets of cell biology. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Abstract

Genotypes and phenotypes form two fundamentally different levels of biological abstraction. The challenge has been to understand how they articulate with each other. In how genotypes map onto phenotypes by perturbing cellular networks. Furthermore, how phenotypes interact with the organism’s environment to map back onto the genotype via forces of natural selection. In our effort to explore the genotype-phenotype relationship we will first present work where we developed an experimental and analytical tool that makes observing subtle changes in phenotype in high-throughput more accurate. Then we will present work that employed the power of forward genetics to examine an unexpected phenotype that defied decades of established research. This phenotype was eventually found to be context-dependent and led to the discovery of an alternate enzyme encoded by a previously uncharacterized gene. We will then transition from the established to the evolutionarily novel and review why yeast, Saccharomyces cerevisiae in particular, serves as a crucial model organism for probing the birth of new genes from scratch. Finally, in this dissertation, we will utilize the techniques of reverse genetics to investigate the phenotypic impact of evolutionarily novel sequences (proto-genes). We will also present a detailed analysis of how a prototypical proto-gene might be interacting with existing cellular processes. The focus of this dissertation extends across established and novel cellular systems. It represents a comprehensive exploration of the genotype-phenotype relationship by employing a systems biology approach. This wholistic exploration has resulted in vital insights to the broader realms of genetics and evolutionary biology.


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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Parikh, Saurin Bipinsbp29@pitt.edusbp290000-0002-8167-5768
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Thesis AdvisorCarvunis, Anne-Ruxandraanc201@pitt.eduanc2010000-0002-6474-6413
Committee ChairO'Donnell, Allyson F.allyod@pitt.eduallyod
Committee MemberKostka, Denniskostka@pitt.edukostka0000-0002-1460-5487
Committee MemberWright, Erik S.ESWRIGHT@pitt.edueswright
Committee MemberBrodsky, Jeffery L.jbrodsky@pitt.edujbrodsky
Date: 16 September 2024
Date Type: Publication
Defense Date: 27 November 2023
Approval Date: 16 September 2024
Submission Date: 7 December 2023
Access Restriction: 2 year -- Restrict access to University of Pittsburgh for a period of 2 years.
Number of Pages: 246
Institution: University of Pittsburgh
Schools and Programs: School of Medicine > Integrative Systems Biology
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: genotype, phenotype, genetics, genomics, de novo, gene birth, phenomics, omics, evolution, systems biology, computational biology, novelty, innovation
Date Deposited: 16 Sep 2024 18:50
Last Modified: 16 Sep 2024 18:50
URI: http://d-scholarship.pitt.edu/id/eprint/45619

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