Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 23 von 185
Sigmulbyeong yeon'gu, 2020-09, Vol.26 (3), p.170-178
2020
Volltextzugriff (PDF)

Details

Autor(en) / Beteiligte
Titel
Optimal RNA Extraction Methods and Development of Synthetic Clones for Seven Strawberry Viruses
Ist Teil von
  • Sigmulbyeong yeon'gu, 2020-09, Vol.26 (3), p.170-178
Ort / Verlag
Hanrimwon Publishing Company
Erscheinungsjahr
2020
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • Most strawberry viruses exist relatively low titers in tissues, and strawberry tissues include high levels of contamination by polysaccharides and phenolic compounds. These traits make the efficiency of strawberry diagnosis difficult. In this study, we tested different commercially available kits and reagents to secure optimal RNA extraction methods to determine virus detection from strawberry leaves. Total RNA was isolated from leaves of strawberry mottle virus (SMoV)-infected strawberry cultivar ‘Mihong’. The efficiency of total RNA for virus diagnosis was confirmed through SMoV detection by one-step or two-step reverse transcription and polymerase chain reaction (RT-PCR). Among those, the RNeasy plant RNA kit was best to isolate RNA and the isolated RNA was good enough for further applications. To ensure a reliable detection for strawberry viruses, synthetic diagnosis clones for major seven strawberry viruses such as strawberry mild yellow edge virus, SMoV, strawberry latent ring spot virus, strawberry crinkle virus, strawberry pallidosis associated virus, strawberry vein banding virus and strawberry necrotic spot virus have been constructed. Based on the synthetic genes in each clone, primer sets for seven strawberry viruses were designed and tested an RT-PCR condition through a simultaneous application of the same annealing temperature that allowed to achieve an efficient and convenient diagnosis.
Sprache
Englisch
Identifikatoren
ISSN: 1598-2262
eISSN: 2233-9191
DOI: 10.5423/RPD.2020.26.3.170
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_cc23f184a1de4007ba472a4d6c9dc3bd

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX