Skip navigation

Mining disease resistance genes in cassava using next-generation sequencing

Mining disease resistance genes in cassava using next-generation sequencing

Otti, Gerald Akachi (2016) Mining disease resistance genes in cassava using next-generation sequencing. PhD thesis, University of Greenwich.

[img]
Preview
PDF
Gerald Akachi Otti 2016 - secured.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (3MB) | Preview

Abstract

Cassava brown streak disease (CBSD) remains a major threat to cassava productivity hence to food security and livelihood of over half a billion people in sub-Saharan Africa. Exploitation of natural resistance is generally accepted as the most sustainable means to control the disease. Most of the existing resistance sources have been identified based on evaluation of resistance to infection in the field where escapes is not uncommon. This limitation alongside the need to enhance knowledge on the currently poorly understood molecular processes underlying CBSD resistance and susceptibility gave impetus to this project. The project was therefore designed around identifying new sources of resistance to Cassava brown streak virus (CBSV) and understanding molecular mechanisms underlying natural resistance. A multiplex real time PCR method was developed for quantification of CBSVs alongside the DNA viruses of cassava – African cassava mosaic virus and East African cassava mosaic virus – in a single tube. The method was highly sensitive and reliably quantified cassava viruses and multiplexing did not diminish sensitivity or accuracy. Evaluation of responses to controlled CBSV infection classified cassava accessions as CBSD resistant, tolerant or susceptible based on foliar and root CBSV quantities. Average CBSV quantity were up to 45 times lower in resistant compared to susceptible cassava. Resistance to CBSV inoculation in the two accessions – Mkumba and Pwani was demonstrated for the first time. Transcriptome analysis of 48 samples comprising eight CBSV- and mock-inoculated cassava accessions sampled at one, five and eight weeks after inoculation showed that the cassava transcriptome is very dynamic. About 68% of the expressed genes were found to change over time. Transcription of genes encoding antioxidant defense, pathogenesis-related and cell expansion functions were positively modulated by CBSV infection, in susceptible cassava but repressed in the resistant ones. Genes which function in plant adaptive response to abiotic stress were induced in both accessions but substantially more so in susceptible accessions. Unique transcriptional activity of CBSD-resistant cassava was defined by overexpression of nucleotide binding site / leucine-rich repeat (NBS-LRR) resistance genes. Data from RNA-sequencing of the cassava samples was also applied, for the first time, to the analysis of allele expression at individual single nucleotide polymorphic (SNP) loci. Higher proportion of loci were expressed as heterozygous alleles in resistant compared to susceptible and tolerant cassava. This observation was associated with the introgression of alleles from the wild cassava – Manihot glaziovii. Genome segments ranging from 0.1 to 8 megabases in chromosomes 3, 4 and 13 were found to contain M. glaziovii haplotypes common and unique to CBSV-resistant accessions. A synthesis of results from analyses of allele and gene expression suggests that a more pronounced activity of the plant immunity pathway dissociated from hypersensitive response leads to quick control of CBSV replication upon infection. This, and peculiar genetic variations underlie the low virus quantity and under-expression of stress-associated genes characteristic of CBSD-resistant cassava.

Item Type: Thesis (PhD)
Uncontrolled Keywords: Plant virus resistance; Cassava brown streak disease (CBSD); RNA sequencing;
Subjects: S Agriculture > SB Plant culture
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science > Natural Resources Institute
Last Modified: 15 Apr 2019 09:43
URI: http://gala.gre.ac.uk/id/eprint/23584

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics