Development of model web-server for crop variety identification using throughput SNP genotyping data

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.

[1]  Huijun Guo,et al.  Development of a High-Efficient Mutation Resource with Phenotypic Variation in Hexaploid Winter Wheat and Identification of Novel Alleles in the TaAGP.L-B1 Gene , 2017, Front. Plant Sci..

[2]  Kejun Liu,et al.  PowerMarker: an integrated analysis environment for genetic marker analysis , 2005, Bioinform..

[3]  R. Jorgensen,et al.  Ribosomal DNA spacer-length polymorphisms in barley: mendelian inheritance, chromosomal location, and population dynamics. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[4]  Mario Caccamo,et al.  PolyMarker: A fast polyploid primer design pipeline , 2015, Bioinform..

[5]  Chen Wang,et al.  Plant variety and cultivar identification: advances and prospects , 2013, Critical reviews in biotechnology.

[6]  John A. Henning,et al.  Simple SNP-based minimal marker genotyping for Humulus lupulus L. identification and variety validation , 2015, BMC Research Notes.

[7]  Beat Keller,et al.  Unlocking the diversity of genebanks: whole-genome marker analysis of Swiss bread wheat and spelt , 2018, Theoretical and Applied Genetics.

[8]  Tokurou Shimizu,et al.  Minimal Marker: an Algorithm and Computer Program for the Identification of Minimal Sets of Discriminating DNA Markers for Efficient Variety Identification , 2013, J. Bioinform. Comput. Biol..

[9]  Simon Griffiths,et al.  Characterization of a Wheat Breeders’ Array suitable for high‐throughput SNP genotyping of global accessions of hexaploid bread wheat (Triticum aestivum) , 2016, Plant biotechnology journal.

[10]  Pardis C Sabeti,et al.  A general SNP-based molecular barcode for Plasmodium falciparum identification and tracking , 2008 .

[11]  J. Jia,et al.  A SNP-Based Molecular Barcode for Characterization of Common Wheat , 2016, PloS one.

[12]  H. Belshaw,et al.  The Food and Agriculture Organization of the United Nations , 1947, International Organization.

[13]  M. Zubair Rafique,et al.  Nonsense Mutation Inside Anthocyanidin Synthase Gene Controls Pigmentation in Yellow Raspberry (Rubus idaeus L.) , 2016, Front. Plant Sci..

[14]  Shahina Akter,et al.  Identification of functional SNPs in genes and their effects on plant phenotypes , 2016 .

[15]  Stephen Pearce,et al.  Mapping causal mutations by exome sequencing in a wheat TILLING population: a tall mutant case study , 2017, Molecular Genetics and Genomics.

[16]  Ninth Session WORKING GROUP ON BIOCHEMICAL AND MOLECULAR TECHNIQUES AND DNA PROFILING IN PARTICULAR , 2000 .

[17]  Toby Hodgkin,et al.  A global perspective of the richness and evenness of traditional crop-variety diversity maintained by farming communities , 2008, Proceedings of the National Academy of Sciences.

[18]  I. Schuster,et al.  Identification of essentially derived soybean cultivars using microsatellite markers , 2008 .

[19]  Morten Lillemo,et al.  Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array , 2014, Plant biotechnology journal.

[20]  Javier Ibáñez,et al.  A 48 SNP set for grapevine cultivar identification , 2011, BMC Plant Biology.

[21]  Wang Yanqin,et al.  Development of a core set of SNP markers for the identification of upland cotton cultivars in China , 2016 .

[22]  Ralph van Berloo,et al.  GGT 2.0: versatile software for visualization and analysis of genetic data. , 2008, The Journal of heredity.

[23]  José Esquinas-Alcázar,et al.  Protecting crop genetic diversity for food security: political, ethical and technical challenges , 2005, Nature Reviews Genetics.

[24]  J. Doyle,et al.  Isolation of plant DNA from fresh tissue , 1990 .

[25]  Keywan Hassani-Pak,et al.  Mutation Scanning in Wheat by Exon Capture and Next-Generation Sequencing , 2015, PloS one.

[26]  Huw Jones,et al.  The management of variety reference collections in distinctness, uniformity and stability testing of wheat , 2003, Euphytica.

[27]  Lujie Chen,et al.  Potato Variety Identification with a Panel of SNP Markers , 2016 .

[28]  M. Nei,et al.  MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. , 2007, Molecular biology and evolution.

[29]  Rajeev K Varshney,et al.  Crop Breeding Chips and Genotyping Platforms: Progress, Challenges, and Perspectives. , 2017, Molecular plant.

[30]  Sachiko Isobe,et al.  A System for Distinguishing Octoploid Strawberry Cultivars Using High-Throughput SNP Genotyping , 2017, Tropical Plant Biology.

[31]  Francesc Coll,et al.  A robust SNP barcode for typing Mycobacterium tuberculosis complex strains , 2014, Nature Communications.

[32]  Lijuan Qiu,et al.  Assessing the numbers of SNPs needed to establish molecular IDs and characterize the genetic diversity of soybean cultivars derived from Tokachi nagaha , 2017 .

[33]  Andrea Galimberti,et al.  DNA Barcoding for Minor Crops and Food Traceability , 2014 .

[34]  Huw Jones,et al.  Implications of using genomic prediction within a high-density SNP dataset to predict DUS traits in barley , 2015, Theoretical and Applied Genetics.