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Published on: July 16, 2019
Characterization of genetic diversity and population structure in wheat using array based SNP markers
Deepender Kumar1,2, Vinod Chhokar1, Sonia Sheoran2
1Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, 125001, India.
This study characterized genetic diversity in Indian spring wheat using 35K SNP markers, revealing two subpopulations with high gene flow. Findings support marker-assisted selection for wheat breeding programs.
Area of Science:
- Agricultural Science
- Genetics
- Plant Breeding
Background:
- Genetic diversity is vital for crop adaptation and improvement.
- India possesses rich wheat germplasm due to diverse agro-climatic conditions.
- High-throughput SNP markers are underutilized for Indian wheat germplasm characterization.
Purpose of the Study:
- To characterize the genetic diversity of Indian spring wheat germplasm.
- To utilize the 35K Axiom Wheat Breeder's Array for genome-wide SNP analysis.
- To provide insights for future wheat breeding programs.
Main Methods:
- Genotyping of 483 wheat genotypes using the 35K Axiom Wheat Breeder's Array.
- Quality filtering of 14,650 SNPs distributed across wheat genomes (A, B, and D).
- Population structure and Principal Coordinate Analysis to identify subpopulations.
Main Results:
- Identified 14,650 high-quality SNPs with good genome-wide coverage.
- Detected two distinct subpopulations (SP1 and SP2) with 98% genetic variation within subpopulations, indicating high gene flow.
- Subpopulation SP2 exhibited high genetic diversity based on Shannon's index and heterozygosity.
Conclusions:
- This study represents the largest dataset for genetic diversity analysis in Indian wheat.
- The findings offer a valuable resource for identifying quantitative trait loci (QTL) and genes.
- Results facilitate marker-assisted selection strategies for enhancing Indian wheat breeding.
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