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Updated: May 10, 2026

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User guide for mapping-by-sequencing in Arabidopsis.

Geo Velikkakam James, Vipul Patel, Karl J V Nordström

    Genome Biology
    |June 19, 2013
    PubMed
    Summary

    Mapping-by-sequencing accelerates mutant identification by combining genetic mapping and whole-genome sequencing. This study provides general rules for experimental design in Arabidopsis, optimizing crossing scenarios, recombinant numbers, and sequencing depth.

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    Area of Science:

    • Genetics
    • Genomics
    • Plant Science

    Background:

    • Mapping-by-sequencing is a powerful technique for identifying mutants.
    • Experimental design choices can significantly impact the success of mapping-by-sequencing experiments.
    • Intuitive guidance for optimizing these choices is often lacking.

    Purpose of the Study:

    • To develop general rules for optimizing mapping-by-sequencing experimental designs in Arabidopsis.
    • To evaluate the impact of various experimental parameters on mapping success.
    • To provide data-driven recommendations for practical application.

    Main Methods:

    • Simulated over 400,000 mapping-by-sequencing experiments.
    • Utilized an experimentally determined recombination landscape for Arabidopsis.

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  • Incorporated next-generation sequencing-specific biases into simulations.

    • Main Results:

    • Identified key properties of different crossing scenarios.
    • Determined optimal numbers of recombinants for successful mapping.
    • Established necessary sequencing depth for effective mutant identification.
    • Developed general rules applicable to Arabidopsis mapping-by-sequencing.

    Conclusions:

    • The study provides crucial insights for designing efficient mapping-by-sequencing experiments in Arabidopsis.
    • Optimized experimental parameters lead to accelerated and more reliable mutant identification.
    • The developed rules serve as a practical guide for researchers in the field.