Detection of Bean Common Mosaic Virus in Bean Seeds by Immunocapture RT-PCR and DAS-ELISA Methods

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dc.contributor.authorKılıç, Handan Çulal
dc.contributor.authorCat, Ahmet
dc.date.accessioned2024-12-24T19:17:18Z
dc.date.available2024-12-24T19:17:18Z
dc.date.issued2022
dc.departmentSiirt Üniversitesi
dc.description.abstractThis study was carried out in bean seeds in Isparta and Antalya provinces to determine Bean common mosaic virus (BCMV) in 2016. For this purpose, 106 seed samples were collected from the research area. Seed samples were used for biological, serological, and molecular methods. The virus incidence, as a percentage of seeds samples for BCMV, was found 87.73% by DAS-ELISA and 90.56% by Immunocapture Reverse Transcriptase-Polymerase Chain Reaction (IC-RT-PCR) methods. As a result of the study, BCMV was detected in a total of 96 (90.56%) seed samples. 93 samples were detected positive with the DAS-ELISA method, while 96 samples were found to be infected with BCMV using the IC-RT-PCR method. In the IC-RT-PCR method, approximately 850 bp of the coat protein gene was amplified with specific primers and BCMV specific bands were obtained at the expected levels.
dc.identifier.doi10.33484/sinopfbd.1006005
dc.identifier.endpage7
dc.identifier.issn2536-4383
dc.identifier.issn2564-7873
dc.identifier.issue1
dc.identifier.startpage1
dc.identifier.trdizinid1134596
dc.identifier.urihttps://doi.org/10.33484/sinopfbd.1006005
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1134596
dc.identifier.urihttps://hdl.handle.net/20.500.12604/4888
dc.identifier.volume7
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofSinop Üniversitesi fen bilimleri dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectSeed
dc.subjectbean
dc.subjectBCMV
dc.subjectmolecular detection
dc.subjectserological metho
dc.titleDetection of Bean Common Mosaic Virus in Bean Seeds by Immunocapture RT-PCR and DAS-ELISA Methods
dc.typeArticle

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