Marker density and read depth for genotyping populations using genotyping-by-sequencing

Timothy M. Beissinger, Candice N. Hirsch, Rajandeep S. Sekhon, Jillian M. Foerster, James M. Johnson, German Muttoni, Brieanne Vaillancourt, C. Robin Buell, Shawn M. Kaeppler, Natalia de Leon

Research output: Contribution to journalArticlepeer-review

146 Scopus citations


Genotyping-by-sequencing (GBS) approaches provide low-cost, high-density genotype information. However, GBS has unique technical considerations, including a substantial amount of missing data and a nonuniform distribution of sequence reads. The goal of this study was to characterize technical variation using this method and to develop methods to optimize read depth to obtain desired marker coverage. To empirically assess the distribution of fragments produced using GBS, ~8.69 Gb of GBS data were generated on the Zea mays reference inbred B73, utilizing ApeKI for genome reduction and single-end reads between 75 and 81 bp in length. We observed wide variation in sequence coverage across sites. Approximately 76% of potentially observable cut siteadjacent sequence fragments had no sequencing reads whereas a portion had substantially greater read depth than expected, up to 2369 times the expected mean. The methods described in this article facilitate determination of sequencing depth in the context of empirically defined read depth to achieve desired marker density for genetic mapping studies RAD sequencing of a non-model organism.

Original languageEnglish (US)
Pages (from-to)1073-1081
Number of pages9
Issue number4
StatePublished - 2013


Dive into the research topics of 'Marker density and read depth for genotyping populations using genotyping-by-sequencing'. Together they form a unique fingerprint.

Cite this