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Review
. 2020 Dec;95(6):1838-1854.
doi: 10.1111/brv.12641. Epub 2020 Aug 14.

Next-generation biological control: the need for integrating genetics and genomics

Affiliations
Review

Next-generation biological control: the need for integrating genetics and genomics

Kelley Leung et al. Biol Rev Camb Philos Soc. 2020 Dec.

Abstract

Biological control is widely successful at controlling pests, but effective biocontrol agents are now more difficult to import from countries of origin due to more restrictive international trade laws (the Nagoya Protocol). Coupled with increasing demand, the efficacy of existing and new biocontrol agents needs to be improved with genetic and genomic approaches. Although they have been underutilised in the past, application of genetic and genomic techniques is becoming more feasible from both technological and economic perspectives. We review current methods and provide a framework for using them. First, it is necessary to identify which biocontrol trait to select and in what direction. Next, the genes or markers linked to these traits need be determined, including how to implement this information into a selective breeding program. Choosing a trait can be assisted by modelling to account for the proper agro-ecological context, and by knowing which traits have sufficiently high heritability values. We provide guidelines for designing genomic strategies in biocontrol programs, which depend on the organism, budget, and desired objective. Genomic approaches start with genome sequencing and assembly. We provide a guide for deciding the most successful sequencing strategy for biocontrol agents. Gene discovery involves quantitative trait loci analyses, transcriptomic and proteomic studies, and gene editing. Improving biocontrol practices includes marker-assisted selection, genomic selection and microbiome manipulation of biocontrol agents, and monitoring for genetic variation during rearing and post-release. We conclude by identifying the most promising applications of genetic and genomic methods to improve biological control efficacy.

Keywords: artificial selection; biological control; genetics; genome assembly; genomics; insect breeding; microbiome; modelling.

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Figures

Fig 1
Fig 1
Overview of the potential of genetic methods to address biocontrol challenges.
Fig 2
Fig 2
Guide to the use of genetic methods in research and development, sorted according to research question. QTL, quantitative trait locus.
Fig 3
Fig 3
Sequencing strategy key for obtaining genomes of biocontrol agents with selected examples of species. bp, base pair.
Fig 4
Fig 4
Examples of the application of genetic techniques in biocontrol, in increasing order of complexity. (A) Genotyping for field monitoring of released biocontrol agents. (B) Design of optimal rearing strategy based on genetic architecture of traits of interest. (C) Genomic selection to improve polygenic or hard‐to‐phenotype traits.

References

    1. Abe, J. & Pannebakker, B. A. (2017). Development of microsatellite markers and estimation of inbreeding frequency in the parasitoid wasp Melittobia . Scientific Reports 7, 39879. - PMC - PubMed
    1. Alphey, N. & Bonsall, M. B. (2018). Genetics‐based methods for agricultural insect pest management. Agricultural and Forest Entomology 20, 131–140. - PMC - PubMed
    1. Ami, E. B. , Yuval, B. & Jurkevitch, E. (2010). Manipulation of the microbiota of mass‐reared Mediterranean fruit flies Ceratitis capitata (Diptera: Tephritidae) improves sterile male sexual performance. ISME Journal 4, 28–37. - PubMed
    1. Andersson, L. , Haley, C. S. , Ellegren, H. , Knott, S. A. , Johansson, M. , Andersson, K. , Andersson‐Eklund, L. , Edfors‐Lilja, I. , Fredholm, M. , Hansson, I. , et al. (1994). Genetic mapping of quantitative trait loci for growth and fatness in pigs. Science 263, 1771–1774. - PubMed
    1. Ashley, E. A. (2016). Towards precision medicine. Nature Reviews Genetics 17, 507–522. - PubMed

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