Antoine Dionne

Climate change is impacting agriculture in many ways, and a contribution from all is required to reduce the imminent losses related to it. Recently, it has been shown that citizen science could be a way to trace the impact of climate change. However, how can citizen science be applied in plant pathology? Here, using as an example a decade of phytoplasma-related diseases reported by growers, agronomists, and citizens in general, and confirmed by a government laboratory, we explored how to better value plant pathogen monitoring data. Through this collaboration, we found that in the last decade, 34 hosts have been affected by phytoplasmas; 9, 13, and 5 of these plants were, for the first time, reported phytoplasma hosts in eastern Canada, all of Canada, and worldwide, respectively. Another finding of great impact is the first report of a ‘Candidatus Phytoplasma phoenicium’-related strain in Canada, while ‘Ca. P. pruni’ and ‘Ca. P. pyri’ were reported for the first time in eastern Canada. These findings will have a great impact on the management of phytoplasmas and their insect vectors. Using these insect-vectored bacterial pathogens, we show the need for new strategies that can allow fast and accurate communication between concerned citizens and those institutions confirming their observations. [ ] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .

The taxonomic assignment of sequences obtained by high throughput amplicon sequencing poses a limitation for various applications in the biomedical, environmental, and agricultural fields. Identifications are constrained by the length of the obtained sequences and the computational processes employed to efficiently assign taxonomy. Arriving at a consensus is often preferable to uncertain identification for ecological purposes. To address this issue, a new tool called “ASVmaker” has been developed to facilitate the creation of custom databases, thereby enhancing the precision of specific identifications. ASVmaker is specifically designed to generate reference databases for allocating amplicon sequencing data. It uses publicly available reference data and generates specific sequences derived from the primers used to create amplicon sequencing libraries. This versatile tool can complete taxonomic assignments performed with pre-trained classifiers from the SILVA and UNITE databases. Moreover, it enables the generation of comprehensive reference databases for specific genes in cases where no directly applicable database exists for taxonomic classification tools.

Alstroemeria necrotic streak virus (ANSV) is an Orthotospovirus that has been isolated from symptomatic Alstroemeria plant in 2010 (Hassani-Mehraban et al. 2010). It has been shown to infect crops of bell pepper (Capsicum annuum) and tomato (Solanum lycopersicum) (Olaya et al. 2017) which are two of the three biggest greenhouse crops in Canada in terms of production volume and value (Statistic Canada. 2020). In July of 2022, the entire production of bell pepper (all plants) from a greenhouse in Québec was presenting necrotic rings and discoloration in fruit and seemingly healthy leaves. Samples from these infected bell pepper were found to be negative for twenty two common viruses infecting bell pepper by ELISA immunoassay by the Laboratoire d'expertise et de diagnostic en phytoprotection (LEDP) (Québec, Canada). To identify the causal agent, double-stranded RNA was extracted from leaf and fruit of one plant to form two separate samples (leaf and fruit) and used for cDNA library preparations with Nextera XT DNA Sample Prep kit (Illumina, USA). The libraries were sequenced using Illumina Miseq (Fall et al. 2020). The same dsRNA were also sequenced with MinION nanopore sequencing method as described previously (Javaran et al. 2021; Javaran et al. 2023). The obtained raw FASTQ data were processed following the methodology described in Fall et al. 2020 and Javaran et al. 2023. The Miseq sequencing yielded over 2 million reads per sample with a percentage of mapped viral reads ranging from 26.92 to 47.29% of the total number of reads. The leaf samples were positive to Bell pepper endornavirus (BPEV) with the full genome covered 16713 times and Alstroemeria necrotic streak virus (ANSV) with 98% of the genome covered 4929 times. The MinION sequencing yielded 1,028,460 reads and the same viruses were detected with 1288 long reads (mean length of 745bp) assigned to ANSV genome. Both viruses were detected in the leaf and fruit samples. The complete ANSV genome comprising three segments (L, M, and S) was assembled and deposited in GenBank: (OQ261731-OQ261733). These L, M and S segments shown 99% nt identity with an isolate from the Columbia (GenBank: MF469036, MF469037, MF469038). It is interesting that read coverage at near the 2000th position of the S segment, was very low. This phenomenon may suggest a cleavage site nearby by a viral or host factor. ANSV was mainly found in leaf samples and very low numbers of reads in fruit samples. The presence of ANSV was confirmed by RT-PCR using the primers specific to the ANSV nucleocapsid gene Tospo_S_F (5’- CAG AAT CAG GCT GCA TTT AAT TTC C-3′) and Tospo_S_R (5’-CAA CGC TTC CTT TAG CAT TAG G-3′) (Gallo et al. 2019). The sequences of ∼600 bp amplicons were determined using Sanger sequencing and showed 100% nt identity with Miseq-derived sequences of ANSV. The virus has previously been detected in Colombia (Hassani-Mehraban et al. 2010) and then in California in 2018 (Tian et al. 2020). This is to our knowledge the first detection of ANSV in Canada. Bell pepper is one of the most important crops in Canada and the ANSV vector, the western flower thrips (Frankliniella occidentalis), known to spread the tomato spotted wilt virus (TSWV) is established in Canada (Allen et al. 1986). The detection of ANSV in Canada is line with the hypothesis of an international spread of this virus (Tian et al. 2020) as is it not known to spread through seeds.