First Report of Bacterial Leaf Streak of Barley (<i>Hordeum vulgare</i>) Caused by <i>Xanthomonas translucens</i> pv. <i>translucens</i> in British Columbia, Canada
Notice bibliographique
Résumé
Bacterial leaf streak (BLS) of barley is caused by the Gram-negative bacterial pathogen Xanthomonas translucens (Sapkota et al. 2020). In 2021, we observed multiple hill plots with BLS symptomatic plants in a barley stripe rust nursery in Vancouver, BC, Canada. We collected 29 leaf samples showing typical BLS symptoms (e.g. necrotic lesions; Fig. S1) and stored at 4 oC until bacterial isolation. Samples were surface-sterilized in 10% NaOCl for 20 sec and rinsed twice. About 1 cm2 of leaf tissue containing BLS characteristic lesions was macerated in 200 μL sterile H2O on a petri dish, incubated for 15 min, and 10 μl of the homogenates was streaked onto Wilbrink's - Boric Acid - Cephalexin (WBC) agar medium. Plates were incubated at 28-30 oC for 48 hrs. Four single colonies were obtained: BC10-1-2a (USask BC10-2a), BC10-1-2b (USask BC10-2b), UBC026 and UBC028. Colonies were grown in WBC broth and gDNA was extracted using E.Z.N.A. Bacterial DNA Kit (Omega Bio-Tek) or DNeasy Plant Pro Kit® (Qiagen) following manufacturer protocols. Genus-level identification was achieved using 16S rRNA sequencing with 27F/1492R primers (Lane 1991) of UBC026 (1,399 bp; NCBI # OP327375) and UBC028 (1,415 bp; NCBI #OP327376). Complete 16S rRNA sequences (1,533bp) of BC10-2a and BC10-2b (1,533 bp) were extracted from the draft whole-genome sequences (WGS) generated in this study. The 16S rRNA sequence homology values of 99.0-100% were recorded between the 4 strains. BLAST analyses of the 16S rRNA sequences to GenBank entries exhibited 99.5-100% similarity values (100% coverage) with the pathotype strains of Xtt DSM 18974T (LT604072) and X. translucens pv. undulosa (Xtu) CFBP 2055 (CP074361). Whole genomes of BC10-2a (JANUQY01) and BC10-2b (JANUQZ01) were sequenced (150-bp; reads 33.1 million; mean coverage 2125x) using NovaSeq Illumina, assembled (Unicycler v0.4.8; Wick et al. 2017) and analyzed to identify the strains to the species-level (Tambong et al. 2021). WGS of strains USask BC10-2a and USask BC10-2b exhibited genome-based DNA-DNA hybridization (dDDH; Meier-Kolthoff et al. 2013) and BLAST-based average nucleotide identity (ANIb; Richter et al. 2015) of 100%. The two strains also showed dDDH and ANIb of 90.4% (species-leel cut-off of 70%) and 98.780% and 98.80% (cut-off of 96%), respectively, with Xtt DSM 18974T (LT604072). In contrast, the WGS of BC10-2a and BC10-2b exhibited only 78.2% dDDH homology values with Xtu CFBP 2055T, suggesting that the strains are genetically more similar to Xtt. The assignment of these strains to Xtt is corroborated by phylogenomic analysis (Fig. S2; Meier-Kolthoff and Göker 2019) that showed the two strains clustering together (100% bootstrap) with the type strain DSM 18974T. These data suggest that these strains are taxonomically members of Xtt. Identification was also confirmed to the genus-level by LAMP assay using published X. translucens primers (Langlois et al. 2017). Pathovar-level identification was confirmed using a cbsA and S8.pep multiplex PCR diagnostic assay (Roman-Reyna et al. 2022). Koch's postulates were verified by greenhouse inoculation via leaf infiltration of UBC026 and UBC028 on 21-day old barley plants (line HB522) using an inoculum of 108 CFU ml-1 followed by re-isolation of the bacteria on WBC. The inoculated plants showed typical BLS symptoms similar to those observed in the field (Fig. S1). Water-inoculated plants had no symptoms. To our knowledge, this is the first published report of BLS of barley in British Columbia.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».