Utility and challenges of using whole‐genome resequencing to detect emerging insect and mite resistance in agroecosystems
Abstract Arthropods that invade agricultural ecosystems systematically evolve resistance to the control measures used against them, and this remains a significant and ongoing challenge for sustainable food production systems. Early detection of resistance evolution could prompt remedial action to sl...
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| Format: | Article |
| Language: | English |
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Wiley
2022-10-01
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| Series: | Evolutionary Applications |
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| Online Access: | https://doi.org/10.1111/eva.13484 |
| _version_ | 1811191700339556352 |
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| author | Megan L. Fritz |
| author_facet | Megan L. Fritz |
| author_sort | Megan L. Fritz |
| collection | DOAJ |
| description | Abstract Arthropods that invade agricultural ecosystems systematically evolve resistance to the control measures used against them, and this remains a significant and ongoing challenge for sustainable food production systems. Early detection of resistance evolution could prompt remedial action to slow the spread of resistance alleles in the landscape. Historical approaches used to detect emerging resistance included phenotypic monitoring of agricultural pest populations, as well as monitoring of allele frequency changes at one or a few candidate pesticide resistance genes. In this article, I discuss the successes and limitations of these traditional monitoring approaches and then consider whether whole‐genome scanning could be applied to samples collected from agroecosystems over time for resistance monitoring. I examine the qualities of agroecosystems that could impact application of this approach to pesticide resistance monitoring and describe a recent retrospective analysis where genome scanning successfully detected an oligogenic response to selection by pesticides years prior to pest management failure. I conclude by considering areas of further study that will shed light on the feasibility of applying whole‐genome scanning for resistance risk monitoring in agricultural pest species. |
| first_indexed | 2024-04-11T23:40:17Z |
| format | Article |
| id | doaj.art-7d7a186d7dfa4c7691c378cf268173e5 |
| institution | Directory Open Access Journal |
| issn | 1752-4571 |
| language | English |
| last_indexed | 2024-04-11T23:40:17Z |
| publishDate | 2022-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | Evolutionary Applications |
| spelling | doaj.art-7d7a186d7dfa4c7691c378cf268173e52022-12-22T03:56:48ZengWileyEvolutionary Applications1752-45712022-10-0115101505152010.1111/eva.13484Utility and challenges of using whole‐genome resequencing to detect emerging insect and mite resistance in agroecosystemsMegan L. Fritz0Department of Entomology University of Maryland College Park Maryland USAAbstract Arthropods that invade agricultural ecosystems systematically evolve resistance to the control measures used against them, and this remains a significant and ongoing challenge for sustainable food production systems. Early detection of resistance evolution could prompt remedial action to slow the spread of resistance alleles in the landscape. Historical approaches used to detect emerging resistance included phenotypic monitoring of agricultural pest populations, as well as monitoring of allele frequency changes at one or a few candidate pesticide resistance genes. In this article, I discuss the successes and limitations of these traditional monitoring approaches and then consider whether whole‐genome scanning could be applied to samples collected from agroecosystems over time for resistance monitoring. I examine the qualities of agroecosystems that could impact application of this approach to pesticide resistance monitoring and describe a recent retrospective analysis where genome scanning successfully detected an oligogenic response to selection by pesticides years prior to pest management failure. I conclude by considering areas of further study that will shed light on the feasibility of applying whole‐genome scanning for resistance risk monitoring in agricultural pest species.https://doi.org/10.1111/eva.13484genome scanninginsectsmitespesticide resistance evolutionresistance monitoringtemporal genomic change |
| spellingShingle | Megan L. Fritz Utility and challenges of using whole‐genome resequencing to detect emerging insect and mite resistance in agroecosystems Evolutionary Applications genome scanning insects mites pesticide resistance evolution resistance monitoring temporal genomic change |
| title | Utility and challenges of using whole‐genome resequencing to detect emerging insect and mite resistance in agroecosystems |
| title_full | Utility and challenges of using whole‐genome resequencing to detect emerging insect and mite resistance in agroecosystems |
| title_fullStr | Utility and challenges of using whole‐genome resequencing to detect emerging insect and mite resistance in agroecosystems |
| title_full_unstemmed | Utility and challenges of using whole‐genome resequencing to detect emerging insect and mite resistance in agroecosystems |
| title_short | Utility and challenges of using whole‐genome resequencing to detect emerging insect and mite resistance in agroecosystems |
| title_sort | utility and challenges of using whole genome resequencing to detect emerging insect and mite resistance in agroecosystems |
| topic | genome scanning insects mites pesticide resistance evolution resistance monitoring temporal genomic change |
| url | https://doi.org/10.1111/eva.13484 |
| work_keys_str_mv | AT meganlfritz utilityandchallengesofusingwholegenomeresequencingtodetectemerginginsectandmiteresistanceinagroecosystems |