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Related Experiment Video

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Comparative Lesions Analysis Through a Targeted Sequencing Approach
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Target Enrichment Improves Mapping of Complex Traits by Deep Sequencing.

Jianjun Guo1, Jue Fan1, Bernard A Hauser2

  • 1Department of Plant Biology, Carnegie Institution for Science, Stanford, California 94305.

G3 (Bethesda, Md.)
|November 5, 2015
PubMed
Summary

Target-enriched X-QTL (TEX-QTL) mapping enables efficient detection of quantitative trait loci (QTL) for complex traits. This method overcomes limitations of whole-genome sequencing by using deep sequencing of target-enriched markers.

Keywords:
Arabidopsis thalianabulked segregant analysissalt toleranceseed sizetarget-enriched extreme quantitative trait locus mapping

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Area of Science:

  • Genetics
  • Genomics
  • Quantitative Genetics

Background:

  • Complex traits are controlled by multiple genetic loci (QTL) that are often difficult to detect.
  • Traditional quantitative trait locus (QTL) mapping struggles with small-effect loci.
  • Extreme-QTL (X-QTL) mapping uses large F2 pools and genome-level markers to identify QTL.

Purpose of the Study:

  • To estimate parameters impacting QTL detection for X-QTL mapping.
  • To develop a cost-effective and efficient method for QTL detection.
  • To identify novel QTL for complex traits in Arabidopsis thaliana.

Main Methods:

  • Simulated effects of population size, marker density, and sequencing depth on QTL detectability.
  • Applied deep sequencing of target-enriched markers for X-QTL mapping.
  • Utilized a modified G test and a model-based statistical framework to identify and resolve QTL peaks.

Main Results:

  • High sequencing depth (5000×) is required for >90% QTL detection with 5% effect for heritability 0.4-0.7.
  • Whole-genome sequencing is not economically feasible for many organisms.
  • Identified multiple QTL, including novel ones, for seed size and salt tolerance in Arabidopsis thaliana using target-enriched X-QTL mapping.

Conclusions:

  • Target-enriched X-QTL (TEX-QTL) mapping is a feasible and effective approach for QTL detection.
  • TEX-QTL mapping overcomes limitations of genome size and population structure.
  • This method is broadly applicable to various organisms and complex traits.