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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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A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
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POTAGE: A Visualisation Tool for Speeding up Gene Discovery in Wheat.

Radosław Suchecki1, Nathan S Watson-Haigh1, Ute Baumann2

  • 1University of Adelaide, School of Agriculture, Food and Wine, PMB 1, Glen Osmond, SA 5064, Australia.

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|November 1, 2017
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Summary

POTAGE accelerates identifying wheat genes for quantitative trait loci (QTL). This web application integrates gene expression and chromosomal data, aiding researchers in pinpointing genes linked to traits like pre-harvest sprouting.

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Area of Science:

  • Plant genetics
  • Bioinformatics
  • Genomics

Background:

  • Identifying genes underlying quantitative trait loci (QTL) in hexaploid wheat (Triticum aestivum) is crucial for crop improvement.
  • Existing methods for gene identification are often laborious and time-consuming.

Purpose of the Study:

  • To develop and present POPSEQ Ordered Triticum aestivum Gene Expression (POTAGE), a web application designed to streamline the identification of candidate genes for QTL.
  • To provide an intuitive platform for exploring gene expression and functional annotation within a chromosomal context.

Main Methods:

  • POTAGE integrates Chromosome Survey Sequences, population sequencing (POPSEQ) data, gene predictions, and RNA-Seq expression data.
  • The application offers an interactive interface for visualizing and analyzing genetic and expression data along wheat chromosomes.

Main Results:

  • POTAGE successfully identified a short-list of candidate genes for a QTL associated with pre-harvest sprouting, a significant agricultural concern.
  • The identified candidate gene TaMKK3 is a validated gene for seed dormancy, with its barley ortholog linked to reduced pre-harvest sprouting.

Conclusions:

  • POTAGE significantly accelerates the process of candidate gene identification for QTL in wheat.
  • The tool facilitates efficient exploration of genomic and transcriptomic data, aiding in the discovery of genes impacting important agronomic traits.