Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665477
Title: Detecting pathogens and beneficial microorganisms in the tomato rhizosphere using microarrays
Author: Devine, Gary J.
Awarding Body: University of Nottingham
Current Institution: University of Nottingham
Date of Award: 2013
Availability of Full Text:
Access from EThOS:
Abstract:
The cultivation of tomato (Solanum lycopersicum) plants for their edible fruits is a worldwide industry that was valued at over $58.7B in 2011. Traditional breeding has predominantly focused on increasing fruit yield or the accumulated concentrations of health-promoting phytochemicals, such as the antioxidant Iycopene. As a result, tomato crops remain susceptible to a large number of potentially devastating diseases which cause significant economic losses to commercial producers. These diseases are incited by a diverse group of microorganisms including bacteria, fungi, nematodes and oomycetes. DNA microarrays are a rapid, sensitive and relatively low cost molecular tool. They can be used to simultaneously detect a large number of PCR-amplified target DNA fragments based on their hybridisation to pre-designed short (~30 bp) complementary oligonucleotide capture probes. Capture probes are commonly designed using barcode regions in the genome and rely on the presence of heterogeneous sequence. Several applications of microarrays have been proposed, including their use for detecting pathogen occurrence and monitoring environmental microbial populations. The ArrayTube platform consists of a 3 x 3 mm glass microprobe array biochip embedded within a modified 1.5 ml Eppendorf-style tube. It provides a discrete environment in which the entire hybridisation and enzyme-catalysed precipitation staining reactions can occur. Detection of hybridised probes is achieved by the acquisition of grey-value transmission data using a specialised ArrayTube Reader device.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.665477  DOI: Not available
Share: