Cargando…

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

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 ins...

Descripción completa

Detalles Bibliográficos
Autores principales: Sethuraman, Arun, Janzen, Fredric J., Weisrock, David W., Obrycki, John J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7469154/
https://www.ncbi.nlm.nih.gov/pubmed/32708047
http://dx.doi.org/10.3390/insects11080462
_version_ 1783578369853489152
author Sethuraman, Arun
Janzen, Fredric J.
Weisrock, David W.
Obrycki, John J.
author_facet Sethuraman, Arun
Janzen, Fredric J.
Weisrock, David W.
Obrycki, John J.
author_sort Sethuraman, Arun
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7469154
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-74691542020-09-17 Insights from Population Genomics to Enhance and Sustain Biological Control of Insect Pests Sethuraman, Arun Janzen, Fredric J. Weisrock, David W. Obrycki, John J. Insects Review 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. MDPI 2020-07-22 /pmc/articles/PMC7469154/ /pubmed/32708047 http://dx.doi.org/10.3390/insects11080462 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Sethuraman, Arun
Janzen, Fredric J.
Weisrock, David W.
Obrycki, John J.
Insights from Population Genomics to Enhance and Sustain Biological Control of Insect Pests
title Insights from Population Genomics to Enhance and Sustain Biological Control of Insect Pests
title_full Insights from Population Genomics to Enhance and Sustain Biological Control of Insect Pests
title_fullStr Insights from Population Genomics to Enhance and Sustain Biological Control of Insect Pests
title_full_unstemmed Insights from Population Genomics to Enhance and Sustain Biological Control of Insect Pests
title_short Insights from Population Genomics to Enhance and Sustain Biological Control of Insect Pests
title_sort insights from population genomics to enhance and sustain biological control of insect pests
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7469154/
https://www.ncbi.nlm.nih.gov/pubmed/32708047
http://dx.doi.org/10.3390/insects11080462
work_keys_str_mv AT sethuramanarun insightsfrompopulationgenomicstoenhanceandsustainbiologicalcontrolofinsectpests
AT janzenfredricj insightsfrompopulationgenomicstoenhanceandsustainbiologicalcontrolofinsectpests
AT weisrockdavidw insightsfrompopulationgenomicstoenhanceandsustainbiologicalcontrolofinsectpests
AT obryckijohnj insightsfrompopulationgenomicstoenhanceandsustainbiologicalcontrolofinsectpests