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Prediction of glyphosate resistance level based on EPSPS gene copy number in Kochia scoparia
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Abstract
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.
Title: Prediction of glyphosate resistance level based on
EPSPS
gene copy number in
Kochia scoparia
Description:
Abstract
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.
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