Title Information
Title
The Genetic Architecture of Flight and Climbing Performance in Drosophila Melanogaster
Name: Personal
Name Part
Spierer, Adam Noah
Role
Role Term: Text
creator
Name: Personal
Name Part
Rand, David
Role
Role Term: Text
Advisor
Name: Personal
Name Part
Ramachandran, Sohini
Role
Role Term: Text
Reader
Name: Personal
Name Part
Roberts, Thomas
Role
Role Term: Text
Reader
Name: Personal
Name Part
Tatar, Marc
Role
Role Term: Text
Reader
Name: Corporate
Name Part
Brown University. Biology and Medicine: Ecological and Evolutionary Biology
Role
Role Term: Text
sponsor
Origin Information
Copyright Date
2020
Physical Description
Extent
xxvi, 178 p.
digitalOrigin
born digital
Note: thesis
Thesis (Ph. D.)--Brown University, 2020
Genre (aat)
theses
Abstract
A central focus of genetics seeks to understand how genotype contributes to phenotype. Simple, single gene traits are generally driven by alleles with additive or dominant effects. However, most traits are polygenic, or complex, and are the result of several genes working together. In addition to additive and dominant effects, pairwise (epistatic) and environmental effects also contribute to the assembly of genetic factors (genetic architecture) that modulate phenotypic variation. These factors can be further complicated by higher-order effects, like genotype x environment interactions, genotype x genotype interactions, and genotype x genotype x environment interactions. Testing the contribution of every possible combination affecting a trait’s genetic architecture is not feasible. However, we can take various approaches to look more broadly at the genotype-phenotype map with Genome Wide Association Studies (GWAS), or assess higher-order effects, via mitochondrial-nuclear (mito-nuclear) introgressions. Using a genetically tractable Drosophila model, we sought to uncover the genetic architecture of adult insect locomotion across flight and climbing behaviors. Divided across four chapters, we survey the genetic architecture of powered flight performance in two chapters using the 197 Drosophila Genetic Reference Panel (DGRP) lines where we identified and validated genetic modifiers associated with flight (i) ability and (ii) variability. In the other two chapters, (iii) we evaluated higher-order genotype x genotype x environment effects between mito-nuclear introgressions and their climbing performance following an exercise conditioning program. (iv) We also created a novel image analysis pipeline to quantify group climbing performance (FreeClimber), which we tested on a panel of exercise conditioned mito-nuclear introgression lines that contained two previously untested lines. Through this work, we expand the growing body of knowledge surrounding the genetic modifiers affecting complex traits and we contribute freely available, open source tools to facilitate repeatable data collection and biologically meaningful analyses.
Subject (fast) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00917991")
Topic
Exercise
Subject
Topic
Genome Wide Association
Subject (fast) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00898394")
Topic
Drosophila--Genetics
Subject (fast) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01085068")
Topic
Quantitative genetics
Subject
Topic
FreeClimber
Subject
Topic
PEGASUS_flies
Subject (fast) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00974141")
Topic
Insects--Locomotion
Subject (fast) (authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00974115")
Topic
Insects--Flight
Subject
Topic
Mitonuclear Interactions
Language
Language Term (ISO639-2B)
English
Record Information
Record Content Source (marcorg)
RPB
Record Creation Date (encoding="iso8601")
20200720
Access Condition: rights statement (href="http://rightsstatements.org/vocab/InC/1.0/")
In Copyright
Access Condition: restriction on access
Collection is open for research.
Identifier: DOI
10.26300/cck2-c765
Type of Resource (primo)
dissertations