Moran, Ray (2017) Investigating the linear and non-linear mechanisms of protein coding innovation across the animal kingdom. PhD thesis, Dublin City University.
Abstract
In this thesis, evolutionary models and frameworks for studying protein coding
sequence evolution in the Metazoa are explored. The Metazoa refers to all
multicellular animals. The models and frameworks applied are phylogeny and
network based – we propose that both approaches are necessary to understand the
various mechanisms of protein evolution that can be involved in protein family
evolution. Firstly, we apply a phylogenetic approach to assess whether the additional
parameterisation and computational requirements associated with heterogeneous
modelling can be justified in terms of model fit and adequacy. The question addressed
in Chapter 2 is whether we can accurately and adequately model the position of the
placental mammal root. We show that model misspecification has resulted in the
conflicting positions for the root of the placental mammal phylogeny in the recent
literature. Therefore, inadequate models can result in wrong inferences about the
evolutionary history of the sequences. Indeed, phylogenetic models may not be
appropriate for the evolutionary process at work, for example in the case of
recombinatorial processes. Therefore, Chapters 3 and 4 focus on the application of
network theory, and specifically sequence similarity networks, to model the evolution
of protein coding sequences by gene fission/fusion and domain shuffling – referred to
throughout as gene remodelling events. Little is known about the contribution of these
remodelling events in protein evolution and in the evolution of the Metazoa in
particular. These are innovations in the protein coding sequences that are brought
about by shuffling of regions of DNA from different proteins (this is not direct
descent with modification and therefore not strictly phylogenetic in nature as it
requires multiple roots on the phylogenetic tree). In this thesis, we describe the
application of phylogenetic and network based models of protein coding evolution to
sequence data from all major groups across the Metazoa and we define the basic
characteristics and rules for gene remodelling in the Metazoa.
Metadata
Item Type: | Thesis (PhD) |
---|---|
Date of Award: | November 2017 |
Refereed: | No |
Supervisor(s): | Downing, Tim and O'Connell, Mary J. |
Subjects: | Biological Sciences > Bioinformatics |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Science and Health > School of Biotechnology |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License |
ID Code: | 21955 |
Deposited On: | 17 Nov 2017 10:16 by Brendan O'connor . Last Modified 28 Jul 2021 16:52 |
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