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Article

Diversity of Botryosphaeriaceae Species Associated with Grapevine Trunk Diseases in the Czech Republic

by
Milan Spetik
1,*,†,
Dorota Anna Tekielska
1,*,†,
Akila Berraf-Tebbal
1,
Jakub Pecenka
1,
Katerina Stuskova
1,
Alla Eddine Mahamedi
2 and
Ales Eichmeier
1
1
Mendeleum–Institute of Genetics, Mendel University in Brno, Valticka 334, 691 44 Lednice na Morave, Czech Republic
2
Laboratoire de Biologie des Systèmes Microbiens (LBSM), Ecole Normale Supérieure de Kouba, B.P 92 Vieux-Kouba, Alger 16308, Algeria
*
Authors to whom correspondence should be addressed.
Co-first author, these authors contributed equally to this work.
Diversity 2023, 15(7), 800; https://doi.org/10.3390/d15070800
Submission received: 6 June 2023 / Revised: 19 June 2023 / Accepted: 22 June 2023 / Published: 23 June 2023
(This article belongs to the Special Issue Recent Advances in Plant-Pathogen Interactions)

Abstract

:
During a study of Botryosphaeriaceae species associated with grapevine trunk diseases in the Czech Republic, a collection of 22 Botryosphaeriaceae-like strains were isolated from four cultivars (Blaufränkisch, Pálava, Pinot Noir, and Welschriesling) in four distinct vineyards. Based on morphology and DNA sequence data (ITS, tub2, and tef), four species were identified: Botryosphaeria dothidea, Diplodia mutila, D. seriata, and Neofusicoccum parvum. These species are reported for the first time from grapevine in the Czech Republic. Relationships between vascular lesions and particular species were highlighted in this study. Diplodia seriata was the most frequently isolated species, present in all four sampled cultivars, while D. mutila was the least frequent, present only in ‘Pálava’. The cultivar Pinot Noir was the most tolerant host for Botryosphaeriaceae fungi.

1. Introduction

Grapevine (Vitis vinifera L.) is one of the Czech Republic’s most valuable fruit crops. In 2021, registered vineyards covered an area of 16,360 hectares, producing 90,060 tonnes annually, with an estimated market value of $77,162,000 USD [1]. During the last few decades, an increased incidence of grapevine trunk diseases (GTDs) has been reported in grape-producing countries worldwide [2,3], with estimated economical loses exceeding 1 billion dollars annually [4].
The Botryosphaeriaceae family comprises a diverse group of cosmopolitan fungi, responsible for dieback and canker diseases in various woody hosts, including grapevines [5]. More than 26 different Botryosphaeriaceae species have been associated with Botryosphaeria dieback of grapevine [6]. External symptoms of Botryosphaeria dieback on grapevine include leaf spots, leaf wilting, fruit rots, perennial cankers, cordon dieback, and sudden plant mortality, while internal wood symptoms manifest as wedge-shaped necroses and dark lines beneath the bark [7].
Plants are usually infected by fungal spores that colonize the plants through winter pruning wounds. Besides infection through pruning wounds, the presence of latent infections caused by Botryosphaeriaceae fungi has been well documented in nurseries during the grapevine propagation process [8,9,10,11]. It was confirmed that Botryosphaeriaceae fungi can live within their host as endophytes or latent pathogens that become pathogenic when their hosts are exposed to stress conditions [12,13].
Due to a lack of studies, very little is known about the incidence of Botryosphaeriaceae pathogens in Czech vineyards. Thus, the aim of this study was to provide a comprehensive overview of the Botryosphaeriaceae fungi responsible for Botryosphaeria dieback in the Czech Republic.

2. Materials and Methods

2.1. Collection and Isolation

Plant material displaying symptoms of dieback (Figure 1) and asymptomatic material, in the case of a young 3-year-old vineyard, were collected from four commercial vineyards located in the South Moravia region of the Czech Republic with the permission of landowner (Table 1). The field observation and sampling were performed in July 2019. In total, 40 grapevines (ten plants per vineyard) were sampled and immediately transported to the laboratory of Mendeleum–Institute of Genetics, Mendel University, the Czech Republic, for further processing. Trunks and arms were debarked using a sterile scalpel and cut longitudinally and transversely to identify the type and location of internal wood necrosis. Bark-less wood tissues were subjected to surface sterilization. From each tissue, wood fragments, approx. 1 cm3, were cut and surface sterilized with 1% sodium hypochlorite for ten minutes and then rinsed three times with sterile distilled water, following protocols previously described [14]. The disinfected wood fragments were cut into small chips of 5 × 2 mm and aseptically transferred onto Petri dishes (five chips per plate) containing potato dextrose agar (PDA, HiMedia, Mumbai, India) supplemented with 0.5 g/L streptomycin sulfate (Sigma–Aldrich, St. Louis, MO, USA). The plates were incubated at 25 °C in the dark for four weeks, and fungal growth was checked every two days. Newly developed mycelia were immediately transferred to new PDA plates and purified using hyphal tip isolation [15]. All fungal isolates were deposited in MEND-F, Fungal Culture Collection of Mendeleum, Mendel University in Brno, the Czech Republic.

2.2. Morphology

Botryosphaeriaceae-like isolates were selected according to the keys provided in the study by Phillips et al. [5]. Culture characteristics were determined on PDA incubated for 7 days at 25 °C in the dark. Water agar plates (WA, HiMedia, Mumbai, India) with double autoclaved pine needles were incubated for 1–3 weeks at 25 °C with exposure to near-UV light to induce sporulation.

2.3. DNA Extraction and Amplification

Genomic DNA was extracted from 7-day-old mycelium grown on PDA at 25 °C in darkness using a NucleoSpin DNA extraction kit (Macherey-Nagel, Düren, Germany) following the manufacturer’s protocol. To confirm the identity of the fungal species, fragments of three genes were amplified: internal transcribed spacer region (ITS), beta-tubulin (tub2), and translation elongation factor 1-alpha (tef). PCR was performed utilizing G2 Flexi DNA polymerase (Promega, Madison, USA), and the primers are listed in Table 2, following protocols previously described [16,17]. Resulting products were purified using NucleoSpin Gel and PCR Clean-up Kit (Macherey-Nagel, Düren, Germany) following the manufacturer’s protocol. Subsequently, the purified products were sequenced from both ends using the Sanger method at Eurofins Genomics (Ebersberg, Germany).

2.4. Phylogenetic Analyses

To identify the isolates, newly generated DNA sequences, together with those retrieved from GenBank, were subjected to phylogenetic analyses (Table 3). The dataset of each gene was aligned separately using the MAFFT v. 7 employing the European Bioinformatics Institute platform (EMBL-EBI, https://www.ebi.ac.uk, accessed on 1 February 2023) [22]. Obtained alignment was manually checked and edited when necessary, using Geneious Prime® (v.2023.0.1., Biomatters Ltd., Auckland, New Zeland). Concatenated dataset was built in Sequence Matrix v.1.8 [23], and the missing information sites were denoted by a question mark. The combined (ITS, tub2, and tef) dataset was subjected to Maximum Likelihood (ML) analyses. Phylogenetic trees were constructed using IQ-TREE 2 [24], running 1000 bootstrap replicates. The best model for ML analyses was selected according to the Akaike Information Criterion (AIC). Bayesian analyses (BI) employed MrBayes v. 3.2.7 [25,26]. The BI analyses included four parallel runs of 50 M generations starting from a random tree topology, every 1000 generations were sampled, and the first 25% of the trees were discarded as the ‘burn-in’. The most suitable substitution model was determined separately for each locus using jModelTest v. 2.1.7 [27]. Trees were visualized in iTOL v. 6.7 [28] and edited in Adobe Illustrator CC 2019. The resulting trees of both methods shared a similar topology; thus, we decided to present ML trees with support values of both methods–bootstrap (BS) and posterior probabilities (PP) labelled at the nodes. Values below 0.85 (PP) and 75% (BS) support are not shown or indicated with a hyphen. The alignments and corresponding trees are available on Figshare (10.6084/m9.figshare.22837472).

3. Results

3.1. Fungal Isolation

In total, 204 isolates were obtained from the 40 sampled plants. A preliminary morphological characterization revealed 22 isolates that displayed morphological and growth characteristics consistent with the Botryosphaeriaceae family.

3.2. Phylogenetic Analyses

Molecular identification was performed on the 22 representative isolates, and their identity confirmed employing three-gene based (ITS, tub2, tef) phylogenetic analyses. The dataset consisted of sequences from 106 isolates (Table 3), including the outgroup Endomelanconiopsis microspora (CBS 353.97T). The combined dataset contained a total of 1259 characters, including alignment gaps. Among these characters, 822 were conserved, 351 provided informative data for parsimony analysis, and 86 were unique. Detailed results for each individual gene dataset, along with the corresponding models used, can be found in Table 4. The ML/BI analyses (Figure 2 and Figure 3) placed 11 isolates in group with the type strain of D. seriata (CBS 112555) with strong support of 91/0.99 (BP/pp); six isolates formed a fully supported clade with the type strain (CMW 9081) and three other Neofusicoccum parvum strains; three isolates were placed in group with the type strain (CBS 115476) and three other strains of Botryosphaeria dothidea with robust 97/1.0 (BP/pp) support; finally, two isolates were displayed in a well-supported clade 98/0.95 (BP/pp) with the type strain (CBS 121862) and three other strains of D. mutila.

3.3. Species Diversity in Different Grapevine Varieties and Wood necrosis

Diplodia seriata was the most frequently isolated species (11 isolates), present in all four sampled varieties, followed by N. parvum (n = 6) isolated from both red varieties, B. dothidea (n = 3) detected only in cf. Pinot Noir, and D. mutila (n = 2) detected only in cf. Pálava.
Wood necroses associated with specific pathogens are displayed in Figure 4. Three different shapes of inner necrosis were observed in transverse sections of trunk and arm from symptomatic grapevines: black spots (BS); black sectorial necrosis (BSN); black central necrosis (BCN). Botryosphaeriaceae isolates were inhabiting mostly the BSN (35%), followed by BS and BCS with 31% and 17%, respectively. The remaining 17% of the obtained Botryosphaeriaceae isolates originated from asymptomatic wood tissues from the young Welschriesling vineyard.

4. Discussion

This study provides the initial comprehensive evaluation of the occurrence of Botryosphaeriaceae species in grapevines within Czech vineyards. Among 22 Botryosphaeriaceae strains obtained, four species belonging to the three genera were detected, among which Diplodia seriata De Not. comprised 50%, Neofusicoccum parvum (Pennycook and Samuels) Crous, Slippers, and A.J.L. Phillips 27%, Botryosphaeria dothidea (Moug.) Ces. and De Not. 14%, and Diplodia mutila (Fr.) Mont. 9%. These species have already been isolated from grapevines worldwide and their pathogenicity has been confirmed [29,30,31,32,33,34,35]. The most isolated species in the Czech Republic was D. seriata. This finding is in accordance with previous studies that have identified D. seriata as the predominant fungus associated with the decline of mature vines in Iran [36], Mexico [37], Hungary [38], and Tunisia [39].
In our study, the pathogen D. seriata was also isolated from the asymptomatic material from the young (3-year-old) vineyard, suggesting latent infection from propagation process in grapevine nursery. This result is consistent with previous studies that reported infection by Botryosphaeriaceae fungi in grapevine nurseries. Fourie et al. reported the presence of latent infection caused by Botryosphaeriaceae fungi in rootstock mother plants in South Africa [40]. Aroca et al. reported presence of three Botryosphaeriaceae fungi in grapevine propagation material in Spain, namely, Botryosphaeria dothidea, Diplodia seriata, and Neofusicoccum parvum [41]. Eichmeier et al. also reported the presence of the same three Botryosphaeriaceae fungi in young grapevine seedlings in Spain [42].
To the best of our knowledge, only two studies have been performed to date on detection of GTDs in the Czech Republic. The initial investigation was conducted by a study of Baranek et al. [43]. The authors examined two grapevine cultivars, namely, ‘Chardonnay’ and ‘Cabernet Sauvignon’, and identified a total of 21 fungal taxa. Among these taxa, only one species, Botryosphaeria dothidea, was classified under the Botryosphaeriaceae family. Subsequently, an incidence of Dactylonectria torresensis, a causal agent of black-foot disease, was reported from Czech vineyards [44].
Multiple Botryosphaeriaceae species do not have specificity in host range and have the ability to transition from their original indigenous hosts to agricultural crops cultivated in proximity [45]. Excluding grapevine, two Botryosphaeriaceae spp. were recently reported causing dieback of highbush blueberry from the Czech Republic, namely, Lasiodiplodia theobromae and Neofusicoccum parvum [46,47].

5. Conclusions

This study provided an investigation of the Botryosphaeriaceae fungi associated with GTDs in four Czech vineyards. Four pathogenic Botryosphaeriaceae spp. have been identified based on phylogenetic analyses, and a correlation between fungal isolates, grapevine cultivar, and type of wood necroses was described in this study. The detection of the pathogen Diplodia seriata in young asymptomatic grapevine plants represents an urgent matter for Czech viticulture. Producing healthy propagation material is an essential requirement. We propose incorporating molecular detection techniques into nurseries to reveal hidden fungal infection. We also highly recommend implementing preventative treatment during the grapevine propagation process using hot water treatment [48], novel nanomaterials [49], or phenolic compounds [50].

Author Contributions

Conceptualization, A.E. and A.B.-T.; Methodology, A.B.-T.; Isolation, A.E.M., D.A.T., J.P., K.S. and M.S.; DNA extraction, D.A.T., J.P. and M.S.; Molecular work, M.S.; Phylogeny analyses, M.S.; Visualization, M.S.; Writing—Original Draft Preparation, M.S. and D.A.T.; Review and Editing, A.B.-T., A.E. and D.A.T.; Supervision, A.E.; Project Administration, M.S. and A.E.; Funding Acquisition, A.E. and M.S. All authors have read and agreed to the published version of the manuscript.

Funding

The project was supported by the Internal Grant of Mendel University in Brno, No. IGA-ZF/2021-SI1003 and by Ministerstvo kultury, Program NAKI III: DH23P03OVV053.

Data Availability Statement

Newly generated sequences were deposited in the NCBI GenBank database under the accession numbers shown in Table 3. The alignments and corresponding trees are available on Figshare (10.6084/m9.figshare.22837472).

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Typical symptoms of sampled plants. (a,b) Apoplexy. (cg) Internal wood necroses.
Figure 1. Typical symptoms of sampled plants. (a,b) Apoplexy. (cg) Internal wood necroses.
Diversity 15 00800 g001
Figure 2. Maximum likelihood tree generated from the combined (ITS, tef, and tub2) Botryosphaeriaceae dataset. Support values of both methods–bootstrap (BS) and posterior probabilities (pp) labelled at the nodes. Values below 75% (BS) and 0.85 (pp) support are not shown or indicated with a hyphen. Asterisk represents full support. Strains obtained in this study are highlighted in bold. T indicates ex-type strain. The tree continues in Figure 3.
Figure 2. Maximum likelihood tree generated from the combined (ITS, tef, and tub2) Botryosphaeriaceae dataset. Support values of both methods–bootstrap (BS) and posterior probabilities (pp) labelled at the nodes. Values below 75% (BS) and 0.85 (pp) support are not shown or indicated with a hyphen. Asterisk represents full support. Strains obtained in this study are highlighted in bold. T indicates ex-type strain. The tree continues in Figure 3.
Diversity 15 00800 g002
Figure 3. Maximum likelihood tree generated from the combined (ITS, tef, and tub2) Botryosphaeriaceae dataset. Support values of both methods–bootstrap (BS) and posterior probabilities (pp) labelled at the nodes. Values below 75% (BS) and 0.85 (pp) support are not shown or indicated with a hyphen. Asterisk represents full support. Strains obtained in this study are highlighted in bold. T indicates ex-type strain. Endomelanconiopsis microspora strain CBS 353.97T served as an outgroup.
Figure 3. Maximum likelihood tree generated from the combined (ITS, tef, and tub2) Botryosphaeriaceae dataset. Support values of both methods–bootstrap (BS) and posterior probabilities (pp) labelled at the nodes. Values below 75% (BS) and 0.85 (pp) support are not shown or indicated with a hyphen. Asterisk represents full support. Strains obtained in this study are highlighted in bold. T indicates ex-type strain. Endomelanconiopsis microspora strain CBS 353.97T served as an outgroup.
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Figure 4. The association between the Botryosphaeriaceae isolates and the type of wood necrosis. AS = asymptomatic; BS = black spots; BSN = black sectorial necrosis; BCN = black central necrosis.
Figure 4. The association between the Botryosphaeriaceae isolates and the type of wood necrosis. AS = asymptomatic; BS = black spots; BSN = black sectorial necrosis; BCN = black central necrosis.
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Table 1. Sampled localities and sampling characterization.
Table 1. Sampled localities and sampling characterization.
SamplingLocalitySampling YearAge of the VineyardsSampled Vines (n)Cultivar
1.Klentnice
(48°51′27.4″ N 16°39′04.9″ E)
20193010 Pálava *
2.Pavlov
(48°51′49.1″ N 16°39′23.0″ E)
20193010Blaufränkisch **
3.Maliny
(48°49′36.6″ N 16°37′29.9″ E)
20193010Pinot Noir **
4.Maliny
(48°49′34.9″ N 16°37′23.6″ E)
2019310Welschriesling *
Note: * white varieties, ** red varieties.
Table 2. Primers used for PCR amplification and sequencing.
Table 2. Primers used for PCR amplification and sequencing.
LocusPrimerPrimer DNA Sequence (5′-3′)Reference
ITSITS1TCCGTAGGTGAACCTGCGG [18]
ITS4TCCTCCGCTTATTGATATGC
tefEF1-728FCATCGAGAAGTTCGAGAAGG[19]
EF1-986RTACTTGAAGGAACCCTTACC
tub2T1AACATGCGTGAGATTGTAAGT [20]
Bt2bACCCTCAGTGTAGTGACCCTTGGC[21]
Note: ITS, internal transcribed spacer; tef, translation elongation factor 1-alpha; tub2, beta-tubulin.
Table 3. Fungal species and barcodes used in phylogenetic analyses.
Table 3. Fungal species and barcodes used in phylogenetic analyses.
SpeciesStrainHostGeographic OriginITStub2tef
Botryosphaeria agavesCBS 133992TAgave sp.ThailandJX646791JX646841JX646856
B. corticisCBS 119047TVaccinium corymbosumUnited StatesDQ299245EU673107EU017539
B. dothideaCBS 115476TPrunus sp.SwitzerlandAY236949AY236927AY236898
B. dothideaCAA859Quercus ilexPortugalMK940302MT309378MT309403
B. dothideaCAA938Quercus suberPortugalMT237173MT309379MT309401
B. dothideaCAA860Quercus suberPortugalMK940295MT309380MT309402
B. dothideaMEND-F-0386V. vinifera ‘Pinot Noir’CzechiaOQ987974OQ994785OQ994763
B. dothideaMEND-F-0385V. vinifera ‘Pinot Noir’CzechiaOQ987975OQ994786OQ994764
B. dothideaMEND-F-0379V. vinifera ‘Pinot Noir’CzechiaOQ987976OQ994787OQ994765
B. fabicercianaCBS 127193TEucalyptus sp.ChinaHQ332197KF779068HQ332213
B. fusisporaMFLUCC 10–0098TEntada sp.ThailandJX646789JX646839JX646854
B. pseudoramosaCERC2001TEucalyptus sp.ChinaKX277989KX278198KX278094
B. qingyuanensisCERC2946TEucalyptus sp.ChinaKX278000KX278209KX278105
B. ramosaCBS 122069TEucalyptus camaldulensisAustraliaEU144055KF766132EU144070
B. rosaceaeCGMCC 3.18007TChinaKX197074KX197101KX197094
B. wangensisCERC2298TCedrus deodaraChinaKX278002KX278211KX278107
Diplodia africanaCBS 120835TPrunus persicaSouth AfricaEF445343KF766129EF445382
D. alatafructaCBS 124931TPterocarpus angolensisSouth AfricaFJ888460MG015799FJ888444
D. corticolaCBS 112546TQuercus ilexSpainAY259090EU673117EU673310
D. corticolaCBS 112549Quercus suberPortugalAY259100DQ458853AY573227
D. corticolaCAA862Eucalyptus globulusPortugalMK940298MT309381MT309410
D. corticolaCAA865Pinus pinasterPortugalMK940296MT309382MT309411
D. corticolaCAA870Quercus ilexPortugalMK940303MT309383MT309408
D. corticolaCAA875Quercus suberPortugalMK940297MT309384MT309409
D. corticolaCAA499Eucalyptus globulusPortugalMG015741MG015800MG015723
D. corticolaCDFA519Quercus sp.United StatesGU799472GU799466GU799469
D. insularisCBS 140350TPistacia lentiscusItalyKX833072MG015809KX833073
D. insularisCAA890TEucalyptus globulusPortugalMK940299MT309385MT309406
D. intermediaCAA147TMalus pumilaPortugalGQ923857MG015811GQ923825
D. mutilaCBS 136014Populus albaPortugalKJ361837MG015815KJ361829
D. mutilaCBS 230.30Phoenix dactyliferaUnited StatesDQ458886DQ458849DQ458869
D. mutilaCAA507Fraxinus ornusPortugalMG015746MG015816MG015728
D. mutilaCBS 121862Pyrus communisNetherlandsKX464093KX464799KX464567
D. mutilaCAA891Eucalyptus globulusPortugalMK940300MT309386MT309407
D. mutilaMEND-F-0366V. vinifera ‘Palava’CzechiaOQ987977OQ994788OQ994766
D. mutilaMEND-F-0381V. vinifera ‘Palava’CzechiaOQ987978OQ994789OQ994767
D. pseudoseriataCBS 124906TBlepharocalyx salicifoliusUruguayEU080927MG015820EU863181
D. quercivoraCBS 133852Quercus canariensisTunisiaJX894205MG015821JX894229
D. rosacearumCBS 141915TEriobotrya japonicaItalyKT956270MG015823KU378605
D. sapineaCBS 393.84TPinus nigraNetherlandsDQ458895DQ458863DQ458880
D. sapineaCAA892Pinus pinasterPortugalMK940292MT309387MT309404
D. sapineaCAA903Quercus suberPortugalMK940312MT309388MT309405
D. scrobiculataCBS 109944TPinus greggiiMexicoDQ458899DQ458867DQ458884
D. seriataCBS 112555TVitis viniferaPortugalAY259094DQ458856AY573220
D. seriataMEND-F-0367V. vinifera ‘Pinot Noir’CzechiaOQ987979OQ994790OQ994768
D. seriataMEND-F-0370aV. vinifera ‘Welschriesling’CzechiaOQ987980OQ994791OQ994769
D. seriataMEND-F-0383V. vinifera ‘Pinot Noir’CzechiaOQ987981OQ994792OQ994770
D. seriataMEND-F-0365aV. vinifera ‘Welschriesling’CzechiaOQ987982OQ994793OQ994771
D. seriataMEND-F-0363V. vinifera ‘Palava’CzechiaOQ987983OQ994794OQ994772
D. seriataMEND-F-0368V. vinifera ‘Blaufränkisch’CzechiaOQ987984OQ994795OQ994773
D. seriataMEND-F-0372V. vinifera ‘Pinot Noir’CzechiaOQ987985OQ994796OQ994774
D. seriataMEND-F-0369aV. vinifera ‘Welschriesling’CzechiaOQ987986OQ994797OQ994775
D. seriataMEND-F-0382V. vinifera ‘Blaufränkisch’CzechiaOQ987987OQ994798OQ994776
D. seriataMEND-F-0371aV. vinifera ‘Welschriesling’CzechiaOQ987988OQ994799OQ994777
D. seriataMEND-F-0378V. vinifera ‘Pinot Noir’CzechiaOQ987989OQ994800OQ994778
D. subglobosaCBS 124132TFraxinus excelsiorSpainDQ458887DQ458852DQ458871
Endomelanconiopsis microsporaCBS 353.97TSoilPapua N. GuineaEU683655KX464893EU683636
Neofusicoccum arbutiCBS 116131Arbutus menziesiiUnited StatesAY819720KF531793KF531792
N. arbutiCBS 117090Arbutus menziesiiUnited StatesAY819724KF531794KF531791
N. australeCMW6837TAcacia sp.AustraliaAY339262AY339254AY339270
N. australeCAA919Eucalyptus globulusPortugalMK940294MT309395MT309423
N. australeCAA434Eucalyptus globulusPortugalKT440913KX505927KT440973
N. australeCAA455Eucalyptus globulusPortugalKT440915KX505928KT440975
N. batangarumCBS 124924TTerminalia catappaCameroonFJ900607FJ900634FJ900653
N. cordaticolaCMW14124EU821925EU821865EU821895
N. cordaticolaCBS 123634Syzygium cordatumSouth AfricaEU821898EU821838EU821868
N. cryptoaustraleCMW23785TEucalyptus sp.South AfricaFJ752742FJ752756FJ752713
N. cryptoaustraleLM03Pistacia lentiscusKX505912KX505930KX505903
N. cryptoaustraleBL34Vitis viniferaKJ638328KX505931KX505904
N. eucalypticolaCBS 115679TEucalyptus grandisAustraliaAY615141AY615125AY615133
N. eucalyptorumCBS 115791TEucalyptus grandisSouth AfricaAF283686AY236920AY236891
N. eucalyptorumCAA932Eucalyptus globulusPortugalMK940311MT309396MT309422
N. eucalyptorumCAA511Eucalyptus globulusPortugalKX505907KX505919KX505896
N. eucalyptorumCAA709Eucalyptus globulusPortugalKT440941KX505920KT441001
N. eucalyptorumCAA713Eucalyptus globulusPortugalKT440943KX505921KT441003
N. kwambonambienseCBS 123639Syzygium cordatumSouth AfricaEU821900EU821840EU821870
N. kwambonambienseCAA755Eucalyptus globulusPortugalKT440946KX505917KT441006
N. kwambonambienseCMW14155EU821923EU821863EU821893
N. lumnitzeraeCMW41469TBarringtonia racemosaSouth AfricaKP860881KP860801KP860724
N. luteumCBS 110299TVitis viniferaPortugalAY259091DQ458848KX464688
N. luteumCAA935Eucalyptus globulusPortugalMK940305MT309397MT309418
N. luteumCAA628Fraxinus excelsiorPortugalKX505911KX505929KX505902
N. luteumCMW9076AY236946AY236922AY236893
N. mangiferaeCBS 118531TMangifera indicaAustraliaAY615185AY615172DQ093221
N. mangroviorumCMW41365TAvicennia marinaSouth AfricaKP860859KP860779KP860702
N. mediterraneumCBS 121718Eucalyptus sp.GreeceGU251176GU251836GU251308
N. mediterraneumCAA002Pistacia veraUnited StatesEU017537KX505925KX505900
N. mediterraneumSPA9Pistacia lentiscusKX505910KX505926KX505901
N. nonquaesitumIMI500168Vaccinium corymbosumJX217819KX505918KX505895
N. occulatumCBS 128008TEucalyptus grandisAustraliaEU301030EU339472EU339509
N. parvumCMW9081TPopulus nigraNew ZealandAY236943AY236917AY236888
N. parvumCAA940Eucalyptus globulusPortugalMK940304MT309399MT309421
N. parvumCMW9080AY236942AY236916AY236887
N. parvumCAA322Malus pumilaPortugalKX505906KX505916KX505894
N. parvumMEND-F-0375V. vinifera ‘Pinot Noir’CzechiaOQ987990OQ994801OQ994779
N. parvumMEND-F-0376V. vinifera ‘Pinot Noir’CzechiaOQ987991OQ994802OQ994780
N. parvumMEND-F-0377V. vinifera ‘Blaufränkisch’CzechiaOQ987992OQ994803OQ994781
N. parvumMEND-F-0374V. vinifera ‘Pinot Noir’CzechiaOQ987993OQ994804OQ994782
N. parvumMEND-F-0373V. vinifera ‘Blaufränkisch’CzechiaOQ987994OQ994805OQ994783
N. parvumMEND-F-0384V. vinifera ‘Pinot Noir’CzechiaOQ987995OQ994806OQ994784
N. pistaciarumCBS 113084United StatesKX464187KX464999KX464713
N. pistaciicolaCBS 113089TPistacia veraUnited StatesKX464199KX465014KX464727
N. ribisCBS 115475TRibes sp.United StatesAY236935AY236906AY236877
N. ribisCBS 121.26Ribes sp.AF241177AY236908AY236879
N. umdonicolaCMW14106EU821899EU821839EU821869
N. umdonicolaCMW14058EU821904EU821844EU821874
N. vitifusiformeB8Vitis viniferaKC469638KC884951KC884948
N. vitifusiformeB9Vitis viniferaKX505908KX505923KX505898
Notes: T ex-type strain. a indicates strain originated from asymptomatic plant. Newly obtained strains and newly generated sequences are highligted in bold. CBS, Westerdijk Fungal Biodiversity Institute, Netherlands; CGMCC, China General Microbiological Culture Collection; CMW, the culture collection of the Forestry and Agricultural Biotechnology Institute (FABI) at the University of Pretoria; IMI, CABI Bioscience, Eggham, the UK; MEND-F, fungal culture collection of Mendeleum, Mendel University in Brno, the Czech Republic; MFLUCC, culture collection of Mae Fah Luang University, Thailand.
Table 4. Detailed characteristics of phylogeny datasets.
Table 4. Detailed characteristics of phylogeny datasets.
LocusNo. of SequencesNo. of CharactersParsimony-InformativeConstantUniqueBI Model
ITS13450311336624GTR + I + G
tef13433614315043HKY + G
tub21234209530619GTR + G
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Spetik, M.; Tekielska, D.A.; Berraf-Tebbal, A.; Pecenka, J.; Stuskova, K.; Mahamedi, A.E.; Eichmeier, A. Diversity of Botryosphaeriaceae Species Associated with Grapevine Trunk Diseases in the Czech Republic. Diversity 2023, 15, 800. https://doi.org/10.3390/d15070800

AMA Style

Spetik M, Tekielska DA, Berraf-Tebbal A, Pecenka J, Stuskova K, Mahamedi AE, Eichmeier A. Diversity of Botryosphaeriaceae Species Associated with Grapevine Trunk Diseases in the Czech Republic. Diversity. 2023; 15(7):800. https://doi.org/10.3390/d15070800

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Spetik, Milan, Dorota Anna Tekielska, Akila Berraf-Tebbal, Jakub Pecenka, Katerina Stuskova, Alla Eddine Mahamedi, and Ales Eichmeier. 2023. "Diversity of Botryosphaeriaceae Species Associated with Grapevine Trunk Diseases in the Czech Republic" Diversity 15, no. 7: 800. https://doi.org/10.3390/d15070800

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