The risks of using molecular biodiversity data for incidental detection of species of concern.

Diversity & Distributions
John A DarlingAnastasija Zaiko

Abstract

Incidental detection of species of concern (e.g., invasive species, pathogens, threatened and endangered species) during biodiversity assessments based on high-throughput DNA sequencing holds significant risks in the absence of rigorous, fit-for-purpose data quality and reporting standards. Molecular biodiversity data are predominantly collected for ecological studies and thus are generated to common quality assurance standards. However, the detection of certain species of concern in these data would likely elicit interest from end users working in biosecurity or other surveillance contexts (e.g., pathogen detection in health-related fields), for which more stringent quality control standards are essential to ensure that data are suitable for informing decision-making and can withstand legal or political challenges. We suggest here that data quality and reporting criteria are urgently needed to enable clear identification of those studies that may be appropriately applied to surveillance contexts. In the interim, more pointed disclaimers on uncertainties associated with the detection and identification of species of concern may be warranted in published studies. This is not only to ensure the utility of molecular biodiversity d...Continue Reading

References

Nov 26, 2015·Cell Systems·Ebrahim AfshinnekooChristopher E Mason
May 3, 2016·Cell Systems·Ebrahim AfshinnekooChristopher E Mason
Jun 24, 2017·GigaScience·Petra Ten HoopenGuy Cochrane
Sep 19, 2017·Molecular Ecology·Kristy DeinerLouis Bernatchez
Nov 7, 2017·Frontiers in Microbiology·Camilla SekseJianxin Shi
Jul 22, 2018·Evolutionary Applications·Margaret E HunterLouis Bernatchez

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