PT - JOURNAL ARTICLE AU - Todd A. Gaines AU - Abigail L. Barker AU - Eric L. Patterson AU - Philip Westra AU - Eric P. Westra AU - Robert G. Wilson AU - Andrew R. Kniss TI - Prediction of glyphosate resistance level based on <em>EPSPS</em> gene copy number in <em>Kochia scoparia</em> AID - 10.1101/047878 DP - 2016 Jan 01 TA - bioRxiv PG - 047878 4099 - http://biorxiv.org/content/early/2016/04/09/047878.short 4100 - http://biorxiv.org/content/early/2016/04/09/047878.full AB - Glyphosate-resistant (GR) Kochia scoparia has evolved in dryland chemical fallow systems throughout North America and the mechanism involves 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) gene duplication. Sugarbeet fields in four states were surveyed for K. scoparia in 2013 and tested for glyphosate-resistance level and EPSPS gene copy number. Glyphosate resistance was confirmed in K. scoparia populations collected from sugarbeet fields in Colorado, Wyoming, and Nebraska. The GR samples all had increased EPSPS gene copy number, with median population values up to 11. An empirical model was developed to estimate the level of glyphosate-resistance in K. scoparia based on EPSPS gene copy number. The results suggested that glyphosate susceptibility can be accurately diagnosed using EPSPS gene copy number, and further increases in EPSPS gene copy number could increase resistance levels up to 8-fold relative to susceptible K. scoparia. These trends suggest that continued glyphosate selection pressure is selecting for higher EPSPS copy number and higher resistance levels in K. scoparia. By including multiple K. scoparia samples lacking EPSPS gene duplication, our empirical model provides a more realistic estimate of fold-resistance due to EPSPS gene copy number compared to methods that do not account for normal variation of herbicide response in susceptible biotypes.