A computational framework for transcriptome assembly and annotation in non-model organisms: the case of venturia inaequalis
| dc.contributor.advisor | Christoffels, Alan | |
| dc.contributor.advisor | Jasper, D | |
| dc.contributor.advisor | Rees, G | |
| dc.contributor.author | Kimbung, Stanley Mbandi | |
| dc.date.accessioned | 2015-03-10T12:47:13Z | |
| dc.date.accessioned | 2024-05-09T08:19:22Z | |
| dc.date.available | 2015-03-10T12:47:13Z | |
| dc.date.available | 2024-05-09T08:19:22Z | |
| dc.date.issued | 2014 | |
| dc.description | Philosophiae Doctor - PhD | en_US |
| dc.description.abstract | In this dissertation three computational approaches are presented that enable optimization of reference-free transcriptome reconstruction. The first addresses the selection of bona fide reconstructed transcribed fragments (transfrags) from de novo transcriptome assemblies and annotation with a multiple domain co-occurrence framework. We showed that selected transfrags are functionally relevant and represented over 94% of the information derived from annotation by transference. The second approach relates to quality score based RNA-seq sub-sampling and the description of a novel sequence similarity-derived metric for quality assessment of de novo transcriptome assemblies. A detail systematic analysis of the side effects induced by quality score based trimming and or filtering on artefact removal and transcriptome quality is describe. Aggressive trimming produced incomplete reconstructed and missing transfrags. This approach was applied in generating an optimal transcriptome assembly for a South African isolate of V. inaequalis. The third approach deals with the computational partitioning of transfrags assembled from RNA-Seq of mixed host and pathogen reads. We used this strategy to correct a publicly available transcriptome assembly for V. inaequalis (Indian isolate). We binned 50% of the latter to Apple transfrags and identified putative immunity transcript models. Comparative transcriptomic analysis between fungi transfrags from the Indian and South African isolates reveal effectors or transcripts that may be expressed in planta upon morphogenic differentiation. These studies have successfully identified V. inaequalis specific transfrags that can facilitate gene discovery. The unique access to an in-house draft genome assembly allowed us to provide preliminary description of genes that are implicated in pathogenesis. Gene prediction with bona fide transfrags produced 11,692 protein-coding genes. We identified two hydrophobin-like genes and six accessory genes of the melanin biosynthetic pathway that are implicated in the invasive action of the appressorium. The cazyome reveals an impressive repertoire of carbohydrate degrading enzymes and carbohydrate-binding modules amongst which are six polysaccharide lyases, and the largest number of carbohydrate esterases (twenty-eight) known in any fungus sequenced to date | en_US |
| dc.identifier.uri | https://hdl.handle.net/10566/13533 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of the Western Cape | en_US |
| dc.rights.holder | University of the Western Cape | en_US |
| dc.subject | RNA-Seq | en_US |
| dc.subject | Quality filtering | en_US |
| dc.subject | Transcriptome reconstruction | en_US |
| dc.subject | Transfrags | en_US |
| dc.subject | Coding potential | en_US |
| dc.subject | Comparative transcriptomics | en_US |
| dc.subject | Open reading frame | en_US |
| dc.subject | Host-pathogen interaction | en_US |
| dc.subject | Venturia inaequalis | en_US |
| dc.subject | Ortholog | en_US |
| dc.title | A computational framework for transcriptome assembly and annotation in non-model organisms: the case of venturia inaequalis | en_US |
| dc.type | Thesis | en_US |