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The samples of affected branches were collected and single spore isolates were obtained following the method described in Phookamsak et al. (2015). The isolates were plated on malt extract agar (MEA, Seaweed Solution Laboratories, USA; 35 g/l litre of sterile water) and incubated at room temperature (20–25ºC) in the dark. Germinating ascospores were aseptically transferred onto fresh MEA plates. Microscopic examinations, photomicrographs and measurements of 50 randomly selected spores from 3 different samples were taken with an AmScope B120C-E5 stereo microscope and AmScope SE306R-PZ dissecting microscope with a 5 MP digital AmScope camera MD500 supplied with AmScopeX software for Windows v4.8.15934 (AmScope, Irvine, USA). The voucher specimens were deposited into the Herbarium of the Nature Research Centre (BILAS), Institute of Botany, Vilnius, Lithuania. Facesoffungi number was registered for E. vitis as mentioned in Jayasiri et al. (2015).
DNA was extracted by performing a crude NaOH lysis on each colony (EI-13-ON, EI-109-ON) picked. The internal transcribed spacer region (ITS) was amplified using primers ITS1/ITS4 (White et al. 1990) followed by enzymatic cleanup and sequenced using the BigDye Terminator v3.1 on an Applied Biosystems 3730XL (Applied Biosystems, Foster City, California, United States) high throughput capillary sequencer according to the GENEWIZ SOP at GENEWIZ, Inc. (South Plainfield, New Jersey, United States).
The newly obtained and retrieved based the recently published studies on Diatrypaceae (Trouillas et al. 2010, 2011, Grassi et al. 2014, Thiyagaraja et al. 2019) ITS sequences (Table 1) were aligned in CLUSTAL-X2 (Thompson et al. 1997) and edited manually in MEGA-X (Kumar et al. 2018). Some characters were trimmed from both ends of the alignment to approximate the size of the obtained sequences to those included in the dataset. Phylogenetic analysis of the aligned data was performed employing maximum-likelihood (ML) and Bayesian inference (BI) analysis. Maximum likelihood analysis was executed by Randomized accelerated maximum likelihood (RAxML) method using raxmlGUI v. 2.0. A 3-parameter model with unequal base frequencies (TPM3uf) was applied with discrete gamma distribution complemented for each substitution model with four rate classes (Silvestro & Michalak 2011). One thousand bootstrap analysis and searches for the best-scoring ML tree were executed (Stamatakis et al. 2008). Bayesian posterior probabilities (BP) were defined by Markov Chain Monte Carlo sampling (MCMC) with GTR model in MrBayes v.3.2.7 (Huelsenbeck & Ronquist 2001). Six simultaneous Markov Chains were run for 100, 000 generations. Trees were sampled every 100 generation. The first 1000 trees were discarded, and the remaining trees were used for calculating posterior probabilities in the majority rule consensus tree.
Table 1. Fungal taxa with GenBank accession numbers of ITS sequences used in phylogenetic analyses. The strains and GenBank accession numbers of newly generated sequences from this study are in black bold
Taxon Strain GenBank Accession Numbers of ITS Sequences Allocryptovalsa rabenhorstii WA07CO HQ692620 Allocryptovalsa rabenhorstii WA08CB HQ692619 Anthostoma decipiens IPVFW349 AM399021 Anthostoma decipiens JL567 JN975370 Cryptosphaeria ligniota CBS 273.87 KT425233 Cryptosphaeria pullmanensis HBPF24 KT425202 Cryptosphaeria pullmanensis ATCC 52655 KT425235 Cryptosphaeria subcutanea DSUB100A KT425189 Cryptosphaeria subcutanea CBS 240.87 KT425232 Cryptovalsa ampelina A001 GQ293901 Cryptovalsa ampelina DRO101 GQ293902 Eutypella citricola HVVIT07 HQ692579 Eutypella citricola HVGRF01 HQ692589 Eutypella vitis UCD2484TX FJ790854 Eutypella vitis 59 KU320620 Eutypella vitis EI-13-ON MW145141 Eutypella vitis EI-109-ON MW145154 Peroneutypa alsophila EL58C AJ302467 Peroneutypa diminutispora MFLUCC 17-2144 MG873479 Peroneutypa kochiana EL53M AJ302462 Peroneutypa rubiformis MFLUCC 17-2142 MG873477 Peroneutypa scoparia MFLUCC 11-0478 KU940151 Quaternaria quaternate GNF13 KR605645 Quaternaria quaternate CBS 278.87 AJ302469 Xylaria hypoxylon CBS 122620 AM993141
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Eutypa dieback in Canada on Vitis spp. have been previously detected in vineyards surveyed in Okanagan Valley, Vancouver and Gulf Islands and Lower Mainland during the 2011 growing season; the causal agents were identified as E. lata, Eutypa flavovirens and Eutypa laevata (O'Gorman et al. 2013). E. vitis was not found in Canada, however, this species was isolated from diseased grapevines (Vitis labrusca and V. vinifera) with the Eutypa dieback symptoms in several states of USA (Farr et al. 1989, Jordan & Schilder 2005, Vasilyeva & Stephenson 2006, Úrbez-Torres et al. 2009, Jayawadena et al. 2018). This study firstly reports E. vitis on multiply tree hosts (Fagus grandifolia, Fraxinus pennsylvanica and Syringa reticulata) in the Niagara region of Southern Ontario, Canada. The pathogen species identity was confirmed by both morphological identification and phylogenetic analyses of ITS gene region.
According to many researchers, there are two main morphotypes within E. vitis: the first one has shorter ascospores, up to 10.5 µm long (Rappaz 1987), while the second one is characterized by larger ascospores with an average length of more than 10 µm, sometimes up to 14 µm long (Ellis & Everhart 1892, Glawe & Jacobs 1987, Vasilyeva & Stephenson 2006). Our isolates from Canada represent the morphotype with the shorter ascospores (8.5–10 µm). The low virulence of E. vitis in the USA was confirmed based on the results of the pathogenicity tests controlled in the laboratory over a 28-day period (Úrbez-Torres et al. 2009). It is known E. lata slowly colonizes wood while the fungus appears to be a highly virulent pathogen on grapevines (Moller & Kasimatis 1981). Therefore, we can assume that a pathogenicity of diatrypaceous fungi (including E. vitis) has been still underestimated. That can be a critical factor in the field conditions when trees are more likely to be stressed. More surveys are needed to find out if E. vitis has infected grapevines grown in the Niagara region of Southern Ontario. The ability of E. vitis to infect several alternate hosts can contribute to faster and wider spread of the fungus across vineyards in Canada.
E Ilyukhin, T Bulgakov, S Markovskaja. 2021. First record of Eutypella vitis causing branch dieback on new host trees in Canada. Studies in Fungi 6(1):71−77 doi: 10.5943/sif/6/1/3 |