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Genomic-Assisted Marker Development Suitable for CsCvy-1 Selection in Cucumber Breeding.
Kahveci, Erdem; Devran, Zübeyir; Özkaynak, Ercan; Hong, Yiguo; Studholme, David J; Tör, Mahmut.
Afiliación
  • Kahveci E; M.Y. Genetik Tarim Tek. Lab. Tic. Ltd. Sti., Antalya, Turkey.
  • Devran Z; Department of Plant Protection, Faculty of Agriculture, University of Akdeniz, Antalya, Turkey.
  • Özkaynak E; Yüksel Tohum Tarim San. ve Tic. A. S., Antalya, Turkey.
  • Hong Y; Research Centre for Plant RNA Signaling, College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China.
  • Studholme DJ; Department of Biology, School of Science and the Environment, University of Worcester, Worcester, United Kingdom.
  • Tör M; Biosciences, College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom.
Front Plant Sci ; 12: 691576, 2021.
Article en En | MEDLINE | ID: mdl-34489994
Cucumber is a widely grown vegetable crop plant and a host to many different plant pathogens. Cucumber vein yellowing virus (CVYV) causes economic losses on cucumber crops in Mediterranean countries and in some part of India such as West Bengal and in African countries such as Sudan. CVYV is an RNA potyvirus transmitted mechanically and by whitefly (Bemisia tabaci) in a semipersistent manner. Control of this virus is heavily dependent on the management of the insect vector and breeding virus-resistant lines. DNA markers have been used widely in conventional plant breeding programs via marker-assisted selection (MAS). However, very few resistance sources against CVYV in cucumber exist, and also the lack of tightly linked molecular markers to these sources restricts the rapid generation of resistant lines. In this work, we used genomics coupled with the bulked segregant analysis method and generated the MAS-friendly Kompetitive allele specific PCR (KASP) markers suitable for CsCvy-1 selection in cucumber breeding using a segregating F2 mapping population and commercial plant lines. Variant analysis was performed to generate single-nucleotide polymorphism (SNP)-based markers for mapping the population and genotyping the commercial lines. We fine-mapped the region by generating new markers down to 101 kb with eight genes. We provided SNP data for this interval, which could be useful for breeding programs and cloning the candidate genes.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2021 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2021 Tipo del documento: Article