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Next generation sequencing of cannabis flower samples and their respective quantitative PCR assays reveals false positive detection of off-target Aspergillus species

Authors: Kevin McKernan; Stephen McLaughlin; Nathan Houde; Liam T. Kane; Yvonne Helbert; Lei Zhang; Sherman Hom;

Next generation sequencing of cannabis flower samples and their respective quantitative PCR assays reveals false positive detection of off-target Aspergillus species

Abstract

Cannabis has a complex microbiome that can, in rare circumstances, contain four Aspergillus species of clinical and regulatory concern. Aspergillus flavus, Aspergillus fumigatus, Aspergillus niger, and Aspergillus terreus are regulated pathogens in many legal cannabis jurisdictions in the U.S. (21 states) and Canada. Molecular methods that interrogate the DNA of these pathogenic species have been adopted due to the challenges in resolving these species from other benign and ubiquitous Aspergillus species with culture or plating methods. Despite the rapid and competitive adoption of qPCR in this field, discordances still arise and require resolution. We describe the use of two different next generation sequencing methods to better characterize the targets of Aspergillus qPCR assays used in the cannabis field.

Updated Figshare links to correct gzip suffix on files.

Keywords

False Positive, qPCR, Aspergillus, Aspergillus tamarii, Illumina sequencing, Genomics, Oxford Nanopore Sequencing, Cannabis Testing, Aspergillus flavus

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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