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        Role of Metcalfa pruinosa as a Vector for Pseudomonas syringae pv. actinidiae

        Donati, Irene,Mauri, Sofia,Buriani, Giampaolo,Cellini, Antonio,Spinelli, Francesco The Korean Society of Plant Pathology 2017 Plant Pathology Journal Vol.33 No.6

        After 20 years of steady increase, kiwifruit industry faced a severe arrest due to the pandemic spread of the bacterial canker, caused by Pseudomonas syringae pv. actinidiae (Psa). The bacterium penetrates the host plant primarily via natural openings or wounds, and its spread is mainly mediated by atmospheric events and cultural activities. Since the role of sucking insects as vectors of bacterial pathogens is widely documented, we investigated the ability of Metcalfa pruinosa Say (1830), one of the most common kiwifruit pests, to transmit Psa to healthy plants in laboratory conditions. Psa could be isolated both from insects feeding over experimentally inoculated plants, and from insects captured in Psa-infected orchards. Furthermore, insects were able to transmit Psa from experimentally inoculated plants to healthy ones. In conclusion, the control of M. pruinosa is recommended in the framework of protection strategies against Psa.

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        Role of Metcalfa pruinosa as a Vector for Pseudomonas syringae pv. actinidiae

        Irene Donati,Sofia Mauri,Giampaolo Buriani,Antonio Cellini,Francesco Spinelli 한국식물병리학회 2017 Plant Pathology Journal Vol.33 No.6

        After 20 years of steady increase, kiwifruit industry faced a severe arrest due to the pandemic spread of the bacterial canker, caused by Pseudomonas syringae pv. actinidiae (Psa). The bacterium penetrates the host plant primarily via natural openings or wounds, and its spread is mainly mediated by atmospheric events and cultural activities. Since the role of sucking insects as vectors of bacterial pathogens is widely documented, we investigated the ability of Metcalfa pruinosa Say (1830), one of the most common kiwifruit pests, to transmit Psa to healthy plants in laboratory conditions. Psa could be isolated both from insects feeding over experimentally inoculated plants, and from insects captured in Psainfected orchards. Furthermore, insects were able to transmit Psa from experimentally inoculated plants to healthy ones. In conclusion, the control of M. pruinosa is recommended in the framework of protection strategies against Psa.

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        Reference Values for a Panel of Cytokinergic and Regulatory Lymphocyte Subpopulations

        Vincenzo Sorrenti,Bruno Marenda,Stefano Fortinguerra,Claudia Cecchetto,Roberta Quartesan,Giulia Zorzi,Morena Zusso,Pietro Giusti,Alessandro Buriani 대한면역학회 2016 Immune Network Vol.16 No.6

        Lymphocyte subpopulations producing cytokines and exerting regulatory functions represent key immune elements. Given their reciprocal interdependency lymphocyte subpopulations are usually assayed as diagnostic panels, rather than single biomarkers for specialist clinical use. This retrospective analysis on lymphocyte subpopulations, analyzed over the last few years in an outpatient laboratory in Northeast Italy, contributes to the establishment of reference values for several regulatory lymphocytes currently lacking such reference ranges for the general population. Mean values and ranges in a sample of Caucasian patients (mean age 42±8,5 years), were provided for Th1, Th2, Th17, Th-reg, Tc-reg, Tc-CD57+ and B1 lymphocytes. The results are consistent with what is found in literature for the single subtypes and are: Th1 157.8±60.3/ml (7.3%±2.9); Th2 118.2±52.2/ml (5.4%±2.5); Th17 221.6±90.2/ml (10.5%±4.4); Th-reg 15.1±10.2/ml (0.7%±0.4); Tc-reg 5.8±4.7/ml (0.3%±0.2); Tc-CD57+ 103.7±114.1/ml (4.6%±4.7); B1 33.7±22.8/ml (1.5%±0.9); (Values are mean±SD). The results show that despite their variability, mean values are rather consistent in all age or sex groups and can be used as laboratory internal reference for this regulatory panel. Adding regulatory cells to lymphocyte subpopulations panels allows a more complete view of the state of the subject’s immune network balance, thus improving the personalization and the “actionability” of diagnostic data in a systems medicine perspective.

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