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

Area of Science:

• Agricultural Science
• Genetics
• Bioinformatics

Background:

• Morphological identification of crop varieties is time-consuming, costly, and susceptible to phenotypic plasticity.
• Accurate crop germplasm management is crucial for agricultural production and intellectual property rights (IPR).
• Existing methods for variety identification lack global accessibility and user-friendly computational tools.

Purpose of the Study:

• To develop a DNA-based signature for accurate and efficient crop variety identification.
• To create a server-based tool for global accessibility of phenotypic and genotypic data.
• To supplement Distinctness, Uniformity, and Stability (DUS) testing with DNA profiling for Plant Breeders Rights (PBR).

Main Methods:

• Utilized Axiom 35K SNP chip data for over 350 Indian wheat varieties.
• Developed varietal signatures using standard filtering and linkage disequilibrium approaches in Linux.
• Built a user-friendly web server (VISTa) using HTML, Java, PHP, and MySQL, including a QR code generator.

Main Results:

• Successfully developed a DNA-based varietal signature for wheat.
• Constructed a phylogenetic tree confirming six major trait-based clusters and their pedigrees.
• Established VISTa, the world's first model web server for crop variety identification.

Conclusions:

• VISTa provides a user-friendly, globally accessible tool for crop variety identification, aiding DUS testing and dispute resolution.
• The model approach can be extended to other crops for global germplasm management and enhanced crop productivity.
• DNA-based signatures and web server tools are essential for modern crop breeding and intellectual property protection.