Novel Methods to Optimize Genotypic Imputation for Low‐Coverage, Next‐Generation Sequence Data in Crop Plants. Issue 3 (1st November 2014)

• Record Type: Journal Article
• Authors: Swarts, Kelly; Li, Huihui; Romero Navarro, J. Alberto; An, Dong; Romay, Maria Cinta; Hearne, Sarah; Acharya, Charlotte; Glaubitz, Jeffrey C.; Mitchell, Sharon; Elshire, Robert J.; Buckler, Edward S.; Bradbury, Peter J.
• Is Part Of: œplant genome. Volume 7:Issue 3(2014)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2014-11-01
• Subjects: Plant genomes -- Periodicals; Plant genome mapping -- Periodicals; 572.862
• DOI: 10.3835/plantgenome2014.05.0023
• Languages: English
• ISSNs: 1940-3372

Abstract

Abstract : 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 ( Zea mays 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.