Development and Assessment of SNP Genotyping Arrays for Citrus and Its Close Relatives

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  • Yoko Hiraoka
    Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA
  • Sergio Pietro Ferrante
    Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA
  • Guohong Albert Wu
    US Department of Energy Joint Genome Institute, Walnut Creek, CA 94598, USA
  • Claire T. Federici
    Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA
  • Mikeal L. Roose
    Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA

Description

<jats:p>Rapid advancements in technologies provide various tools to analyze fruit crop genomes to better understand genetic diversity and relationships and aid in breeding. Genome-wide single nucleotide polymorphism (SNP) genotyping arrays offer highly multiplexed assays at a relatively low cost per data point. We report the development and validation of 1.4M SNP Axiom® Citrus HD Genotyping Array (Citrus 15AX 1 and Citrus 15AX 2) and 58K SNP Axiom® Citrus Genotyping Arrays for Citrus and close relatives. SNPs represented were chosen from a citrus variant discovery panel consisting of 41 diverse whole-genome re-sequenced accessions of Citrus and close relatives, including eight progenitor citrus species. SNPs chosen mainly target putative genic regions of the genome and are accurately called in both Citrus and its closely related genera while providing good coverage of the nuclear and chloroplast genomes. Reproducibility of the arrays was nearly 100%, with a large majority of the SNPs classified as the most stringent class of markers, “PolyHighResolution” (PHR) polymorphisms. Concordance between SNP calls in sequence data and array data average 98%. Phylogenies generated with array data were similar to those with comparable sequence data and little affected by 3 to 5% genotyping error. Both arrays are publicly available.</jats:p>

Journal

  • Plants

    Plants 13 (5), 691-, 2024-02-29

    MDPI AG

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