Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Analysing rapeseed leaves from naturally infested fields in Skaraborg to detect Sclerotinia sclerotiorum using Nanopore sequencing
University of Skövde, School of Bioscience.
2023 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Rapeseed is a versatile crop with significant economic value as fuel, food, and feed, contributing to farmers' income. However, its cultivation is often hindered by the devastating plant pathogen Sclerotinia sclerotiorum, which infects numerous plant species, including rapeseed. Stem rot disease caused by this fungus has historically caused substantial yield losses, ranging from 30 to 70% in Sweden, Germany, and the UK. The absence of disease-resistant cultivars poses a challenge for effective disease control. A real-time PCR is one of the several techniques used in laboratory for the detection of infection which has many benefits over conventional methods. But this study aimed to develop a technique for the detection of disease by confirming if MinION Nanopore Sequencing can be used for such purpose to save time, resources, and the environment as compared to real-time PCR and other conventional methods. Rapeseed leaves samples were collected from three naturally infested fields in Skaraborg; DNA was extracted and ITS regions which are commonly used marker or barcodes for identification of fungi were amplified with three different pair of primers. Amplicons were sequenced with MinION and hundreds of thousands of reads were recovered to Ascomycota and Basidiomycota fungi division while Saccharomycodes ludwigii fungi was the most abundant species recovered. Many pathogens were successfully detected while no single read of S. sclerotiorum could be recovered in the study. MinION is concluded to provide a fast and efficient method for the detection of plant pathogens however, in this study S. sclerotiorum were unable to be identified.

Place, publisher, year, edition, pages
2023. , p. 29
National Category
Biochemistry Molecular Biology
Identifiers
URN: urn:nbn:se:his:diva-22955OAI: oai:DiVA.org:his-22955DiVA, id: diva2:1779583
Subject / course
Bioscience
Educational program
Infection Biology - Master’s Programme 60 ECTS
Supervisors
Examiners
Available from: 2023-07-04 Created: 2023-07-04 Last updated: 2025-02-20Bibliographically approved

Open Access in DiVA

fulltext(3585 kB)226 downloads
File information
File name FULLTEXT01.pdfFile size 3585 kBChecksum SHA-512
a1e6d7ed40b9e757876ea6cad2dc072d3b8b4ca7cf531c90f48ab941a43337bf18e6eb0c89bd250e3f8e66b8a1d3cb4f8222b0887c844d299532dd2937518b73
Type fulltextMimetype application/pdf

By organisation
School of Bioscience
BiochemistryMolecular Biology

Search outside of DiVA

GoogleGoogle Scholar
Total: 226 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 401 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf