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Using Sentinel Plots to Monitor for Changes in Thrips Susceptibility to MON 88702 Cotton Containing the Cry51Aa2.834_16 Bt Protein

SIMPLE SUMMARY: Transgenic Bt crops are important tools for growers to manage insect pests, but their use is threatened by the evolution of insect resistance, and monitoring programs are essential in detecting and responding to resistance. For Bt products in which insect control is not complete (“no...

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Autores principales: Yates-Stewart, Ashley D., Yorke, Benjamin T., Willse, Alan, Fridley, Jennifer, Head, Graham P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299310/
https://www.ncbi.nlm.nih.gov/pubmed/37367313
http://dx.doi.org/10.3390/insects14060497
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author Yates-Stewart, Ashley D.
Yorke, Benjamin T.
Willse, Alan
Fridley, Jennifer
Head, Graham P.
author_facet Yates-Stewart, Ashley D.
Yorke, Benjamin T.
Willse, Alan
Fridley, Jennifer
Head, Graham P.
author_sort Yates-Stewart, Ashley D.
collection PubMed
description SIMPLE SUMMARY: Transgenic Bt crops are important tools for growers to manage insect pests, but their use is threatened by the evolution of insect resistance, and monitoring programs are essential in detecting and responding to resistance. For Bt products in which insect control is not complete (“non-high-dose crops”), resistance monitoring is challenging, because insects and insect damage will be present even without resistance. Given these challenges, “sentinel plots” (designated monitoring plots) consisting of Bt and non-Bt control plots have been used to monitor for insect resistance to non-high-dose Bt crops by assessing changes in the efficacy of a Bt crop over time relative to a non-Bt control. We used this approach for ThryvOn™ cotton, a new non-high-dose Bt product targeting two sucking pest types—Lygus and thrips—and report here on the thrips monitoring program. Monitoring for insect resistance over time requires knowledge of the baseline susceptibility, which is the initial assessment of the insect population response to a given Bt crop prior to its widespread adoption. To characterize the baseline susceptibility of thrips to ThryvOn, we tested several approaches and found that the number of immature thrips on ThryvOn relative to the control cotton best characterized the efficacy of the trait. ABSTRACT: Transgenic Bt crops are important tools for growers to manage insect pests, but their durability is threatened by the evolution of insect resistance. Implementing a resistance monitoring program is essential to detect and mitigate resistance. For non-high-dose Bt crops, resistance monitoring is challenging, because insect control is not complete, so targeted insects and insect damage will be present even without resistance. Given these challenges, sentinel plots have been used to monitor for insect resistance to non-high-dose crops by assessing changes in the efficacy of a Bt crop over time relative to a non-Bt control. We optimized a sentinel plot resistance monitoring approach for MON 88702 ThryvOn™ cotton, a new non-high-dose Bt product targeting two sucking pest taxa—Lygus (L. lineolaris and L. hesperus) and thrips (Frankliniella fusca and F. occidentalis)—and report here on the thrips monitoring methods and results. Quantifying thrips immatures was the best metric to characterize the impact of the trait, with at least a 40–60% average reduction of thrips immatures on ThryvOn relative to the control cotton at all sites with higher thrips densities. These data can be used within a ThryvOn resistance monitoring program and represent a case study for establishing a resistance monitoring approach for a non-high-dose trait product.
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spelling pubmed-102993102023-06-28 Using Sentinel Plots to Monitor for Changes in Thrips Susceptibility to MON 88702 Cotton Containing the Cry51Aa2.834_16 Bt Protein Yates-Stewart, Ashley D. Yorke, Benjamin T. Willse, Alan Fridley, Jennifer Head, Graham P. Insects Article SIMPLE SUMMARY: Transgenic Bt crops are important tools for growers to manage insect pests, but their use is threatened by the evolution of insect resistance, and monitoring programs are essential in detecting and responding to resistance. For Bt products in which insect control is not complete (“non-high-dose crops”), resistance monitoring is challenging, because insects and insect damage will be present even without resistance. Given these challenges, “sentinel plots” (designated monitoring plots) consisting of Bt and non-Bt control plots have been used to monitor for insect resistance to non-high-dose Bt crops by assessing changes in the efficacy of a Bt crop over time relative to a non-Bt control. We used this approach for ThryvOn™ cotton, a new non-high-dose Bt product targeting two sucking pest types—Lygus and thrips—and report here on the thrips monitoring program. Monitoring for insect resistance over time requires knowledge of the baseline susceptibility, which is the initial assessment of the insect population response to a given Bt crop prior to its widespread adoption. To characterize the baseline susceptibility of thrips to ThryvOn, we tested several approaches and found that the number of immature thrips on ThryvOn relative to the control cotton best characterized the efficacy of the trait. ABSTRACT: Transgenic Bt crops are important tools for growers to manage insect pests, but their durability is threatened by the evolution of insect resistance. Implementing a resistance monitoring program is essential to detect and mitigate resistance. For non-high-dose Bt crops, resistance monitoring is challenging, because insect control is not complete, so targeted insects and insect damage will be present even without resistance. Given these challenges, sentinel plots have been used to monitor for insect resistance to non-high-dose crops by assessing changes in the efficacy of a Bt crop over time relative to a non-Bt control. We optimized a sentinel plot resistance monitoring approach for MON 88702 ThryvOn™ cotton, a new non-high-dose Bt product targeting two sucking pest taxa—Lygus (L. lineolaris and L. hesperus) and thrips (Frankliniella fusca and F. occidentalis)—and report here on the thrips monitoring methods and results. Quantifying thrips immatures was the best metric to characterize the impact of the trait, with at least a 40–60% average reduction of thrips immatures on ThryvOn relative to the control cotton at all sites with higher thrips densities. These data can be used within a ThryvOn resistance monitoring program and represent a case study for establishing a resistance monitoring approach for a non-high-dose trait product. MDPI 2023-05-27 /pmc/articles/PMC10299310/ /pubmed/37367313 http://dx.doi.org/10.3390/insects14060497 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yates-Stewart, Ashley D.
Yorke, Benjamin T.
Willse, Alan
Fridley, Jennifer
Head, Graham P.
Using Sentinel Plots to Monitor for Changes in Thrips Susceptibility to MON 88702 Cotton Containing the Cry51Aa2.834_16 Bt Protein
title Using Sentinel Plots to Monitor for Changes in Thrips Susceptibility to MON 88702 Cotton Containing the Cry51Aa2.834_16 Bt Protein
title_full Using Sentinel Plots to Monitor for Changes in Thrips Susceptibility to MON 88702 Cotton Containing the Cry51Aa2.834_16 Bt Protein
title_fullStr Using Sentinel Plots to Monitor for Changes in Thrips Susceptibility to MON 88702 Cotton Containing the Cry51Aa2.834_16 Bt Protein
title_full_unstemmed Using Sentinel Plots to Monitor for Changes in Thrips Susceptibility to MON 88702 Cotton Containing the Cry51Aa2.834_16 Bt Protein
title_short Using Sentinel Plots to Monitor for Changes in Thrips Susceptibility to MON 88702 Cotton Containing the Cry51Aa2.834_16 Bt Protein
title_sort using sentinel plots to monitor for changes in thrips susceptibility to mon 88702 cotton containing the cry51aa2.834_16 bt protein
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299310/
https://www.ncbi.nlm.nih.gov/pubmed/37367313
http://dx.doi.org/10.3390/insects14060497
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