Abstract
Invasive species pose significant threats to forest ecosystems. Early intervention strategies are the most cost-effective means to control biological invasions, but are reliant on robust biosurveillance. State-of-the-art genomic approaches can provide an unprecedented opportunity to access detailed information on the invasion process and adaptive potential of invasive insects that pose an immediate threat to forests environments. Genomics can improve diagnostics of the invader and identify its route of invasion by determining the source population(s), assess its probability of establishment and patterns of spread, as well as provide evidence of adaptation. Applied biosurveillance efforts by plant health regulatory agencies will benefit substantially from the detailed insights that genomic data bring to our understanding of biological invasions.
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Acknowledgements
We wish to thank Brent Sinclair, three anonymous reviewers, and the Subject Editor for thoughtful, insightful feedback we received on earlier versions of this manuscript. We also wish to thank the guest editors and journal editors for the opportunity to contribute to this special issue on invasive insect pests of forests. Finally, we wish to acknowledge funding support from Genome Canada, Genome British Columbia, and Genome Quebec for support for the Biosurveillance of Alien Forest Enemies (bioSAFE) as part of the Large-Scale Applied Research Project in Natural Resources and the Environment. Additional funding was also provided by the Genomics Research and Development Initiative (Natural Resources Canada).
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This study was funded by Genome Canada, Genome British Columbia, Genome Quebec, and the Genomics Research and Development Initiative (Natural Resources Canada).
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Appendix 1: Search parameters used in literature search for application of genomic statistical approaches in studies of biological invasion from 2008 to 2017
Appendix 1: Search parameters used in literature search for application of genomic statistical approaches in studies of biological invasion from 2008 to 2017
To assess the adoption of genomic data in research on biological invasions, we used Web of Science to search for articles published between 2008 and 2017 that used the term “invasive species” or “biological invasion*” in their titles, abstracts, or keywords. We compared this count to articles including those search terms while also referring to either genetic methods in general or to genomic methods in particular.
Web of Science search terms to identify studies employing any genetic methods:
TS = (invasive species OR “biological invasion*”) AND TS = (gene* OR mitochondria* OR nuclear OR mictrosatellite OR “simple sequence repeat” OR SSR OR “short tandem repeat” OR STR OR allozyme* OR genom* OR SNP OR GBS OR RAD OR RAD-Seq OR RADseq OR ddRAD OR AFLP OR RAPD OR RFLP OR transcriptom* OR exom* OR proteom* OR metabolom* OR “whole genome sequencing” OR “whole-genome sequencing” OR WGS OR “expressed sequence tag*” OR EST OR “signature sequence tag*” OR SST).
Search term to detect studies employing genomic methods:
TS = (invasive species OR “biological invasion*”) AND TS = (genom* OR SNP OR GBS OR RAD OR RAD-Seq OR RADseq OR ddRAD OR AFLP OR RAPD OR RFLP OR transcriptom* OR exom* OR proteom* OR metabolom* OR “whole genome sequencing” OR “whole-genome sequencing” OR WGS OR “expressed sequence tag*” OR EST OR “signature sequence tag*” OR SST).
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Roe, A.D., Torson, A.S., Bilodeau, G. et al. Biosurveillance of forest insects: part I—integration and application of genomic tools to the surveillance of non-native forest insects. J Pest Sci 92, 51–70 (2019). https://doi.org/10.1007/s10340-018-1027-4
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DOI: https://doi.org/10.1007/s10340-018-1027-4