Insights from Population Genomics to Enhance and Sustain Biological Control of Insect Pests

dc.contributor.author Sethuraman, Arun
dc.contributor.author Janzen, Fredric
dc.contributor.author Janzen, Fredric
dc.contributor.author Weisrock, David
dc.contributor.author Obrycki, John
dc.contributor.department Ecology, Evolution and Organismal Biology
dc.date 2020-07-29T17:26:03.000
dc.date.accessioned 2021-02-25T18:41:55Z
dc.date.available 2021-02-25T18:41:55Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 2020
dc.date.issued 2020-07-22
dc.description.abstract <p>Biological control—the use of organisms (e.g., nematodes, arthropods, bacteria, fungi, viruses) for the suppression of insect pest species—is a well-established, ecologically sound and economically profitable tactic for crop protection. This approach has served as a sustainable solution for many insect pest problems for over a century in North America. However, all pest management tactics have associated risks. Specifically, the ecological non-target effects of biological control have been examined in numerous systems. In contrast, the need to understand the short- and long-term evolutionary consequences of human-mediated manipulation of biological control organisms for importation, augmentation and conservation biological control has only recently been acknowledged. Particularly, population genomics presents exceptional opportunities to study adaptive evolution and invasiveness of pests and biological control organisms. Population genomics also provides insights into (1) long-term biological consequences of releases, (2) the ecological success and sustainability of this pest management tactic and (3) non-target effects on native species, populations and ecosystems. Recent advances in genomic sequencing technology and model-based statistical methods to analyze population-scale genomic data provide a much needed impetus for biological control programs to benefit by incorporating a consideration of evolutionary consequences. Here, we review current technology and methods in population genomics and their applications to biological control and include basic guidelines for biological control researchers for implementing genomic technology and statistical modeling.</p>
dc.description.comments <p>This article is published as Sethuraman, Arun, Fredric J. Janzen, David W. Weisrock, and John J. Obrycki. "Insights from Population Genomics to Enhance and Sustain Biological Control of Insect Pests." <em>Insects</em> 11, no. 8 (2020): 462. doi: <a href="https://doi.org/10.3390/insects11080462">10.3390/insects11080462</a>.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/eeob_ag_pubs/415/
dc.identifier.articleid 1421
dc.identifier.contextkey 18697899
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath eeob_ag_pubs/415
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/94169
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/eeob_ag_pubs/415/2020_Janzen_InsightsPopulation.pdf|||Sat Jan 15 00:11:05 UTC 2022
dc.source.uri 10.3390/insects11080462
dc.subject.disciplines Ecology and Evolutionary Biology
dc.subject.disciplines Entomology
dc.subject.disciplines Genomics
dc.subject.keywords population genomics
dc.subject.keywords biological control
dc.subject.keywords demographic models
dc.subject.keywords pest management
dc.title Insights from Population Genomics to Enhance and Sustain Biological Control of Insect Pests
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 266cafbc-b90b-45b5-9c6d-d5914fff458b
relation.isOrgUnitOfPublication 6fa4d3a0-d4c9-4940-945f-9e5923aed691
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