First Report of <i>Godronia cassandrae</i> as a Major Cranberry Fruit Rot Pathogen in Eastern Canada
Bibliographic record
Abstract
The complex etiology of cranberry fruit rot (CFR) (Oudemans et al., 1998) has made it difficult to precisely identify the fungi involved in CFR and their relative importance in North America. To remedy this situation, a multiplex PCR approach targeting the 12 most commonly reported fungi in CFR was recently developed (Conti et al., 2019). However, in surveys conducted in Eastern Canada, the molecular tool revealed the presence of an unknown fungus in more than 30% of the collected samples. Analyses were thus undertaken to identify this species. From 117 rotten fruit collected at harvest in 2017, 34 samples of the unknown fungus, all morphologically similar, were isolated but not detected using the molecular tool. Their ITS ribosomal regions were sequenced using universal primers (Vilgalys and Hester, 1990; White et al., 1990) and searched against the GenBank database using the Blastn tool (Altschul et al., 1990). The top match was obtained with Godronia cassandrae (accession number: MH855281 (Vu et al., 2019), 98-100% of identity and an E-value of 0.0), even though some isolates had minor nucleotide differences, as presented in the tree. Sequences were deposited in GenBank as accession numbers MT599989 to MT600022. Since G. cassandrae had been reported, albeit rarely, on cranberry in Michigan (Olatinwo et al., 2003), it was supposed to amplify with the molecular tool developed from the strain DAOM C216021 (AAFC, Ottawa, ON) identified in 1993 on Vaccinium angustifolium as G. cassandrae. Analysis of the sequences used to build the specific primers from this strain confirmed the DAOM strain as being Neocucurbitaria juglandicola, which was never diagnosed in our cranberry samples. To confirm this revised diagnosis, a multi-sequence alignment (MSA) was performed on the ITS regions of the isolates from rotten cranberries and sequences available for the genus Godronia in the NCBI nucleotide database (NCBI txid269064). This MSA allowed us to find discriminant regions between Godronia spp. A pair of PCR primers specific to G. cassandrae found on cranberry fruit was then designed (the forward and reverse sequences are AAT CAG TGG CGG TGC CTG TC and TAC CGC TTC ACT CGC CGT TAC, respectively), generating 196 bp amplicons, with an annealing temperature of 65°C. The diagnosis of 7,835 fruit sampled at three time points (harvest, after three and after six weeks of storage) in 2018, from four cranberry farms located in Québec (CA) and Nova Scotia (CA), detected G. cassandrae in 2350 samples (30%). To assess the pathogenicity of four specimens from 2017, Koch's postulates were completed on two healthy fruit per isolate. The fruit were wounded with a sterilized pick and individually inoculated; two fruit were used as control. Based on our observations, the fungi isolated from cranberry fruit displayed a pale lemon yellow mycelium and black pycnidia. Conidia are hyaline, cylindrical and divided by a single septum. These morphological characters are similar to the ones described in the literature for G. cassandrae (Polashock et al., 2017). Rot symptoms appear as a discoloration from the firm, red and healthy cranberry fruit to a yellowish-orange softer fruit. Molecular characterization of the re-isolated fungus confirmed the presence of G. cassandrae. We report Godronia cassandrae for the first time as a major cause of CFR in Eastern Canada. Its prevalence in cranberry fields of Québec and Nova Scotia suggests that it supplants Physalospora as the main fungus involved in CFR in Eastern Canada.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".