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Related Concept Videos

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Development of Targeting Induced Local Lesions IN Genomes TILLING Populations in Small Grain Crops by Ethyl Methanesulfonate Mutagenesis
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Development of a next generation SNP genotyping array for wheat.

Amanda J Burridge1, Mark Winfield1, Alexandra Przewieslik-Allen1

  • 1School of Biological Sciences, University of Bristol, Bristol, UK.

Plant Biotechnology Journal
|March 23, 2024
PubMed
Summary
This summary is machine-generated.

A new genotyping array, the Triticum aestivum Next Generation (TaNG) array, offers improved SNP diversity and performance for hexaploid wheat. This tool enhances genetic mapping and genome-wide association studies for wheat breeding.

Keywords:
Triticum aestivumAxiom arraybreedinggenotypingsingle nucleotide polymorphismwheat

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Area of Science:

  • Agricultural Science
  • Genetics
  • Bioinformatics

Background:

  • Existing wheat genotyping arrays (e.g., 35K Wheat Breeder's, Illumina 90K) were limited by sequence diversity and SNP positional accuracy.
  • Advances in wheat sequencing and genotyping technology enable the development of more comprehensive and accurate arrays.
  • High-throughput genotyping is crucial for cost-effective and reliable analysis of hexaploid wheat and its relatives.

Purpose of the Study:

  • To introduce a novel Axiom genotyping array, the Triticum aestivum Next Generation (TaNG) array, for hexaploid wheat.
  • To leverage recent advancements in wheat sequencing and genotyping technology for improved SNP selection and array design.
  • To enhance genetic mapping resolution and performance for Genome-wide Association Studies (GWAS) and Copy Number Variation (CNV) analysis.

Main Methods:

  • Designed the TaNG array using whole genome skim sequencing data from 204 elite wheat lines and 111 landraces.
  • Employed a novel haplotype optimization approach to select SNPs with high varietal discrimination.
  • Utilized a design iteration process to test and replace unreliable SNPs, incorporating both novel and legacy markers.

Main Results:

  • The final TaNG array design features 43,372 SNPs with improved distribution compared to previous arrays.
  • The array enables the generation of genetic maps with a significantly higher number of distinct bins.
  • Demonstrated improved performance for GWAS and utility for CNV analysis.

Conclusions:

  • The TaNG array represents a significant advancement in high-throughput genotyping for hexaploid wheat.
  • Its enhanced SNP content and performance improve genetic mapping and facilitate powerful genomic analyses.
  • The array is commercially available, supporting ongoing research and breeding efforts in wheat.