First Report of <i>Godronia cassandrae</i> as a Major Cranberry Fruit Rot Pathogen in Eastern Canada
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».