Loading...
COMPARATIVE BIOINFORMATIC AND MOLECULAR EVOLUTIONARY ANALYSIS OF CHORDATE GENES AND GENOMES
Citations
Altmetric:
Genre
Thesis/Dissertation
Date
2020
Advisor
Committee member
Group
Department
Biology
Subject
Permanent link to this record
Collections
Research Projects
Organizational Units
Journal Issue
DOI
http://dx.doi.org/10.34944/dspace/4735
Abstract
As knowledge of evolutionary processes has expanded over the years, we havedeepened our understanding about how they drive organismal, cellular, and molecular
biology and the factors beyond natural selection that are involved. Nevertheless, selection
maintains a role in fixing and maintaining successful adaptations to new niches, whether
from environmental change or organismal migration. Adaptation should not be considered
solely on the level of individual genes and point substitutions as selection occurs on multiple
levels. Examination on these multiple levels can further aid in understanding the constraints
on evolution and how organisms can attain a phenotype.
Here we present two packages of tools for the examination of selection on the
levels of protein structure and genetic pathways as well as on the individual gene and
sequence levels., followed by examples of potential applications. First, we present a
package of Application Programming Interface (API) tools that simplifies use of The Adaptive
Evolutionary Database. Second, we present a package of tools implemented in the Rust
programming language for fast and reliable analysis of phylogenetic data.
Then we describe the phenotypic data and methodology for use of these tools to
analyze evolution on multiple levels, where genomic data is available. A broad scale analysis
of the protein structural properties of evolutionary genetic changes in proteins is developed
and described. We also present an organization of phenotypic data for mammals in the
arctic biome, an ancestral reconstruction of the evolution of the phenotypic traits under
study, and demonstrate a methodology to apply the tool packages to this cohort when
sufficient genomic data is available.
Description
Accompanied by two compressed .zip files: 1) Titled Charts 2) Appendices
Citation
Citation to related work
Has part
ADA compliance
For Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu