Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

Microbiome Biomarkers - Post Mortem Interval

Solanki, Maitri (2019) Microbiome Biomarkers - Post Mortem Interval. Masters by Coursework thesis, Murdoch University.

[img]
Preview
PDF - Whole Thesis
Download (408kB) | Preview

Abstract

Microbiome is the catalog of microbes and their genes. And a biomarker is a substance that can be objectively measured and which can act as an indicator of pathogenic processes, biological processes or pharmacological responses to a therapeutic intervention. Also, the time between physiological death and the examination of the dead body is known as the Post mortem Interval (PMI). Determination of PMI can be a complex problem due to it being influenced by a number of intrinsic and extrinsic factors. Some of the intrinsic factors include age, sex, and pathological and physiological states of the corpse. While the extrinsic factors include temperature, humidity and insect activity. Recently, molecular changes such as protein, RNA and DNA degradation have been studied quiet widely and are seem to be producing promising results in the field of PMI estimation. More specifically, studying RNA degradation after death is considered quiet useful for precise PMI estimation. Some of the different types of RNA that aid in PMI estimation include miRNAs, circRNAs, 18S-rRNA and so on. This study focuses on the potential for estimating PMI using microbiome biomarkers as a tool rather than the tradition PMI estimation by studying various stages of decomposition.

Item Type: Thesis (Masters by Coursework)
Murdoch Affiliation: School of Veterinary and Life Sciences
Supervisor(s): Speers, James
URI: http://researchrepository.murdoch.edu.au/id/eprint/48022
Item Control Page Item Control Page

Downloads

Downloads per month over past year