Frontiers in Ecology and Evolution (May 2021)

Cross-Species Application of Illumina iScan Microarrays for Cost-Effective, High-Throughput SNP Discovery

  • Emily D. Fountain,
  • Li-Chen Zhou,
  • Alyssa Karklus,
  • Qun-Xiu Liu,
  • James Meyers,
  • Ian K. C. Fontanilla,
  • Emmanuel Francisco Rafael,
  • Jian-Yi Yu,
  • Qiong Zhang,
  • Xiang-Lei Zhu,
  • En-Le Pei,
  • Yao-Hua Yuan,
  • Graham L. Banes,
  • Graham L. Banes

DOI
https://doi.org/10.3389/fevo.2021.629252
Journal volume & issue
Vol. 9

Abstract

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Microarrays can be a cost-effective alternative to high-throughput sequencing for discovering novel single-nucleotide polymorphisms (SNPs). Illumina’s iScan platform dominates the market, but their commercial microarray products are designed for model organisms. Further, the platform outputs data in a proprietary format. This cannot be easily converted to human-readable genotypes or be merged with pre-existing data. To address this, we present and validate a novel pipeline to facilitate data analysis from cross-species application of Illumina microarrays. This facilitates the generation of a compatible VCF from iScan data and the merging of this with a second VCF comprising genotypes derived from other samples and sources. Our pipeline includes a custom script, iScanVCFMerge (presented as a Python package), which we validate using iScan data from three great ape genera. We conclude that cross-species application of microarrays can be a rapid, cost-effective approach for SNP discovery in non-model organisms. Our pipeline surmounts the common challenges of integrating iScan genotypes with pre-existing data.

Keywords