Thesis
Genomic and phenotypic analysis of industrially-relevant microorganisms
- Creator
- Rights statement
- Awarding institution
- University of Strathclyde
- Date of award
- 2021
- Thesis identifier
- T15968
- Person Identifier (Local)
- 201679702
- Qualification Level
- Qualification Name
- Department, School or Faculty
- Abstract
- The field of industrial microbiology is rapidly evolving such that new techniques and methods must be implemented regularly to provide the most efficient industrial processes possible. In collaboration with industrial partners, Ingenza, a combination of high throughput phenotyping and rapid whole-genome sequencing was utilised to provide a greater understanding of industrial production organisms as well as to form a strong platform for further work and analyses. Industrial lineages of Saccharomyces cerevisiae for biofuel production and Streptomyces lavendulae for mitomycin C production were analysed with whole-genome sequencing to provide further insight into their phenotypic traits and industrial potential. It was found that long-read sequencing of yeast genomes provides a level of assembly completeness and quality difficult to achieve with short-reads alone. This work provides a complete genome sequence for industrial strain Ethanol Red for the first time and shows that it can be used to significantly improve the assemblies of derived production strains. It is also shown that high throughput phenotyping can complement genomic data to provide rapid and functional information about strains in a great variety of growth conditions. This work also provides further evidence that phylogeny and secondary metabolite production often lack correlation as well as functional information as to how best to improve an industrial lineage that presents an unexplained phenotype. Our findings demonstrate that robust genomics pipelines can be utilised to analyse data from personal sequencing devices such as the nanopore and that rapid strain genotyping can be achieved in-house by industry without risking intellectual property integrity. Further, we show that this information can be used to inform experimental protocols that lead to improved production strains.
- Advisor / supervisor
- Tucker, Nicholas
- Resource Type
- Note
- This thesis was previously held under moratorium from 23/08/2021 to 23/08/2026.
- DOI
Relations
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PDF of thesis T15968 | 2021-08-23 | Public | Download |