Title: "Genetic Mapping in Complex Autopolyploids Using Quantitative SNP Genotyping"
Speaker: Marcelo Mollinari; Department of Statistic, Purdue University

Place: MSEE B012
Date: February 10, 2015; Tuesday
Time: 4:30pm


Autopolyploids species are very important in agriculture and play a fundamental role in evolutionary process. Despite all advances in genetic mapping in diploids and autotetraploids, there is a lack of statistical models for constructing genetic maps in complex autopolyploids, such as sugarcane, strawberry, some ornamental flowers and forage crops. The construction of these maps is a key step for genetic studies, including QTL mapping, assembly of reference genomes, and study of evolutionary process. Quantitative SNP genotyping makes it possible to obtain the relative abundance of different alleles for a given loci and consequently estimate the SNP dosage. We present a novel method for constructing genetic maps in autopolyploid species with high ploidy levels using hidden Markov models and quantitative SNP genotyping. Based on this work it is possible to construct genetic maps of autopolyploids with both high ploidy level and high dose markers.

Associated reading:
1. Mollinari, M. & Serang, O. "Quantitative SNP Genotyping of Polyploids with MassARRAY and Other Platforms" in Methods in Molecular Biology: Plant Genotyping, ed. Batley, J. (Springer New York, 2015), v.1245, 215-241

2. Garcia A.A.F, Mollinari M., Marconi T.G. et al SNP genotyping allows an in-depth characterisation of the genome of sugarcane and other complex autopolyploids. Sci Rep. 3, Article number: 3399, 2013, doi:10.1038/srep03399

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