Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.707384
Title: Mathematical models of RNA interference in plants
Author: Neofytou, Giannis
ISNI:       0000 0004 6061 8427
Awarding Body: University of Sussex
Current Institution: University of Sussex
Date of Award: 2017
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Abstract:
RNA interference (RNAi), or Post-Transcriptional Gene Silencing (PTGS), is a biological process which uses small RNAs to regulate gene expression on a cellular level, typically by causing the destruction of specfic mRNA molecules. This biological pathway is found in both plants and animals, and can be used as an effective strategy in defending cells against parasitic nucleotide sequences, viruses and transposons. In the case of plants, it also constitutes a major component of the adaptive immune system. RNAi is characterised by the ability to induce sequence-specific degradation of target messenger RNA (mRNAs) and methylation of target gene sequences. The small interfering RNA produced within the initiated cell is not only used locally but can also be transported into neighbouring cells, thus acting as a mobile warning signal. In the first part of the thesis I develop and analyse a new mathematical model of the plant immune response to a viral infection, with particular emphasis on the role of RNA interference. The model explicitly includes two different time delays, one to represent the maturation period of undifferentiated cells, and another to account for the time required for the RNAi propagating signal to reach other parts of the plant, resulting in either recovery or warning of susceptible cells. Analytical and numerical bifurcation theory is used to identify parameter regions associated with recovery and resistant plant phenotypes, as well as possible chronic infections. The analysis shows that the maturation time plays an important role in determining the dynamics, and that long-term host recovery does not depend on the speed of the warning signal but rather on the strength of local recovery. At best, the warning signal can amplify and hasten recovery, but by itself it is not competent at eradicating the infection. In the second part of the thesis I derive and analyse a new mathematical model of plant viral co-infection with particular account for RNA-mediated cross-protection in a single plant host. The model exhibits four non-trivial steady states, i.e. a disease-free steady state, two one-virus endemic equilibria, and a co-infected steady state. I obtained the basic reproduction number for each of the two viral strains and performed extensive numerical bifurcation analysis to investigate the stability of all steady states and identified parameter regions where the system exhibits synergistic or antagonistic interactions between viral strains, as well as different types of host recovery. The results indicate that the propagating component of RNA interference plays a significant role in determining whether both viruses can persist simultaneously, and as such, it controls whether the plant is able to support some constant level of both infections. If the two viruses are sufficiently immunologically related, the least harmful of the two viruses becomes dominant, and the plant experiences cross-protection. In the third part of the thesis I investigate the properties of intracellular dynamics of RNA interference and its capacity as a gene regulator by extending a well known model of RNA interference with time delays. For each of the two amplification pathways of the model, I consider the cumulative effects of delay in dsRNA-primed synthesis associated with the non-instantaneous nature of chemical signals and component transportation delay. An extensive bifurcation analysis is performed to demonstrate the significance of different parameters, and to investigate how time delays can affect the bi-stable regime in the model.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.707384  DOI: Not available
Keywords: QH0438.4.M33 Mathematics
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