Affiliation:
1. Department of Human Evolutionary Biology Harvard University Cambridge Massachusetts USA
2. Department of Biology Texas A&M University College Station Texas USA
3. Department of Statistics University of Illinois Urbana‐Champagne Urbana Illinois USA
4. Dipartimento di Biologia Università degli Studi di Padova Padova Italy
Abstract
AbstractHighly polymorphic markers, such as microsatellites, are invaluable for the study of natural populations. However, contemporary methods for genotyping highly polymorphic variants have serious drawbacks that impede their efficiency. We created Polly, an R package with C++ source code that uses Illumina short‐read data to genotype microsatellites, detect highly polymorphic variants and identify clusters of highly polymorphic SNPs, indels and microsatellites. We tested Polly on short‐read data from Xiphophorus birchmanni (Teleostei: Poeciliidae) and Arabidopsis thaliana, finding it to be efficient and accurate both for microsatellite genotyping and polymorphic marker detection. This program can be applied to any diploid population for which there exists short‐read data and at least one scaffolded reference genome.
Funder
Division of Environmental Biology
National Institute of General Medical Sciences