Bois Noir (BN) is a Grapevine Yellows (GY) disease largely spread in the main viticultural areas worldwide. 'Candidatus Phytoplasma solani' is the BN etiological agent. Multi-Locus Sequence Typing (MLST), based on tufB, secY, vmp1 and stamp genes, contributes to increase knowledge about its genetic variability. In this study, MLST analysis on the basis of vmp1 and stamp genes was carried out in 18 Tuscan vineyards (Central Italy). Results identified 27 vmp1/stamp genotypes with the prevalence of the Vm43/St10 genotype, never found in grapevine outside Tuscany. Phylogenetic analysis also revealed that such genotype is strictly related to ‘Ca. P. solani’ strains previously identified in Solanaceae plants only and in insect vectors, opening new perspectives on BN epidemiology.
Genetic variability of "bois noir" phytoplasma strains using multilocus sequence typing analysis in Tuscan vineyards (Central Italy) / R. Pierro, A. Passera, A. Panattoni, P. Casati, A. Luvisi, D. Rizzo, P.A. Bianco, F. Quaglino, A. Materazzi. ((Intervento presentato al 5. convegno Bois Noir tenutosi a Ljubljana nel 2018.
Genetic variability of "bois noir" phytoplasma strains using multilocus sequence typing analysis in Tuscan vineyards (Central Italy)
A. Passera;P. Casati;P.A. Bianco;F. Quaglino;
2018
Abstract
Bois Noir (BN) is a Grapevine Yellows (GY) disease largely spread in the main viticultural areas worldwide. 'Candidatus Phytoplasma solani' is the BN etiological agent. Multi-Locus Sequence Typing (MLST), based on tufB, secY, vmp1 and stamp genes, contributes to increase knowledge about its genetic variability. In this study, MLST analysis on the basis of vmp1 and stamp genes was carried out in 18 Tuscan vineyards (Central Italy). Results identified 27 vmp1/stamp genotypes with the prevalence of the Vm43/St10 genotype, never found in grapevine outside Tuscany. Phylogenetic analysis also revealed that such genotype is strictly related to ‘Ca. P. solani’ strains previously identified in Solanaceae plants only and in insect vectors, opening new perspectives on BN epidemiology.
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