Novel Methods to Optimize Genotypic Imputation for Low-Coverage, Next-Generation Sequence Data in Crop Plants

• Main Authors: Kelly Swarts, Huihui Li, J. Alberto Romero Navarro, Dong An, Maria Cinta Romay, Sarah Hearne, Charlotte Acharya, Jeffrey C. Glaubitz, Sharon Mitchell, Robert J. Elshire, Edward S. Buckler, Peter J. Bradbury
• Format: Article
• Language: English
• Published: Wiley 2014-11-01
• Series: The Plant Genome
• Online Access: https://dl.sciencesocieties.org/publications/tpg/articles/7/3/plantgenome2014.05.0023

Next-generation sequencing technology such as genotyping-by-sequencing (GBS) made low-cost, but often low-coverage, whole-genome sequencing widely available. Extensive inbreeding in crop plants provides an untapped, high quality source of phased haplotypes for imputing missing genotypes. We introduce Full-Sib Family Haplotype Imputation (FSFHap), optimized for full-sib populations, and a generalized method, Fast Inbred Line Library ImputatioN (FILLIN), to rapidly and accurately impute missing genotypes in GBS-type data with ordered markers. FSFHap and FILLIN impute missing genotypes with high accuracy in GBS-genotyped maize ( L.) inbred lines and breeding populations, while Beagle v. 4 is still preferable for diverse heterozygous populations. FILLIN and FSFHap are implemented in TASSEL 5.0.