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Development of model web-server for crop variety identification using throughput SNP genotyping data.
Singh, Rajender; Iquebal, M A; Mishra, C N; Jaiswal, Sarika; Kumar, Deepender; Raghav, Nishu; Paul, Surinder; Sheoran, Sonia; Sharma, Pradeep; Gupta, Arun; Tiwari, Vinod; Angadi, U B; Kumar, Neeraj; Rai, Anil; Singh, G P; Kumar, Dinesh; Tiwari, Ratan.
Afiliação
  • Singh R; ICAR-Indian Institute of Wheat & Barley Research, Karnal, 132001, Haryana, India.
  • Iquebal MA; ICAR- Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.
  • Mishra CN; ICAR-Indian Institute of Wheat & Barley Research, Karnal, 132001, Haryana, India.
  • Jaiswal S; ICAR- Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.
  • Kumar D; ICAR-Indian Institute of Wheat & Barley Research, Karnal, 132001, Haryana, India.
  • Raghav N; ICAR-Indian Institute of Wheat & Barley Research, Karnal, 132001, Haryana, India.
  • Paul S; ICAR-Indian Institute of Wheat & Barley Research, Karnal, 132001, Haryana, India.
  • Sheoran S; ICAR-Indian Institute of Wheat & Barley Research, Karnal, 132001, Haryana, India.
  • Sharma P; ICAR-Indian Institute of Wheat & Barley Research, Karnal, 132001, Haryana, India.
  • Gupta A; ICAR-Indian Institute of Wheat & Barley Research, Karnal, 132001, Haryana, India.
  • Tiwari V; ICAR-Indian Institute of Wheat & Barley Research, Karnal, 132001, Haryana, India.
  • Angadi UB; ICAR- Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.
  • Kumar N; ICAR- Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.
  • Rai A; ICAR- Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.
  • Singh GP; ICAR-Indian Institute of Wheat & Barley Research, Karnal, 132001, Haryana, India.
  • Kumar D; ICAR- Indian Agricultural Statistics Research Institute, New Delhi, 110012, India. dinesh.kumar@icar.gov.in.
  • Tiwari R; ICAR-Indian Institute of Wheat & Barley Research, Karnal, 132001, Haryana, India. Ratan.Tiwari@icar.gov.in.
Sci Rep ; 9(1): 5122, 2019 03 26.
Article em En | MEDLINE | ID: mdl-30914659
ABSTRACT
Crop varieties or genotypes of a given species are pivotal for agricultural production and ownership, management and improvement of their germplasm is a great challenge. Its morphological identification requires time, cost and descriptors are often compromised statistically due to phenotypic plasticity. Development of DNA based signature of varieties can overcome these limitations. There is a global need to implement world trade organization (WTO) and intellectual property rights (IPR) guidelines of Plant Breeders Rights (PBR) where DUS (distinctness, uniformity and stability) testing can be supplemented by DNA profile. Universalization and minimization of SNP number without compromising identification accuracy is the major challenge in development of varietal profile by rapid genotype assay. Besides this, there is no server-based approach reducing computational skill with global accessibility of referral phenotypic and genotypic data. We report world's first model web server for crop variety identification using >350 Indian wheat varieties and Axiom 35 K SNP chip data. Standard filtering and linkage disequilibrium approach were used to develop varietal signature in Linux using HTML, Java, PHP and MySQL with provision of QR code generator to facilitate bar-coding. Phylogenetic tree constructed by selected SNPs confirms six major trait based clusters of varieties and their pedigree. Our user friendly server based tool, VISTa (Variety Identification System of Triticum aestivum) ( http//webtom.cabgrid.res.in/vista ) can be used in DUS testing having dispute resolution of sovereignty and access benefit sharing (ABS) issues. This model approach can be used in other crops with pan-global level management of crop germplasm in endeavour of crop productivity.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Triticum / Software / Genoma de Planta / Polimorfismo de Nucleotídeo Único / Bases de Dados de Ácidos Nucleicos / Genótipo / Modelos Genéticos Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Triticum / Software / Genoma de Planta / Polimorfismo de Nucleotídeo Único / Bases de Dados de Ácidos Nucleicos / Genótipo / Modelos Genéticos Idioma: En Ano de publicação: 2019 Tipo de documento: Article