First report of latent infection of Cyperus rotundus caused by a biovar 3 Dickeya sp.(Syn. Erwinia chrysanthemi) in Israel

Tsror, Leah; Lebiush, S.; Erlich, Orly; Ben-Daniel, Bat-Hen; Wolf, J.M. van der

doi:10.5197/j.2044-0588.2010.022.014

Cited by 17 publications

(7 citation statements)

References 6 publications

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“…can colonize other hosts than potatoes (Tsror (Lahkim) et al . () and/or survive on plant residues in soil (Reverchon & Nasser, ). These small bacterial populations may be sufficient to support bacteriophages.…”

Section: Discussionmentioning

confidence: 99%

Isolation and characterization of novel soilborne lytic bacteriophages infecting Dickeya spp. biovar 3 (‘D. solani’)

2013

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Nine bacteriophages infecting Dickeya spp. biovar 3 ('Dickeya solani') were isolated from soil samples collected in different regions in Poland. The phages have a typical morphology of the members of the order Caudovirales, family Myoviridae, with a head diameter of c. 90-100 nm and tail length of c. 120-140 nm. In host range experiments, phage /D5 expressed the broadest host range, infecting members of all Dickeya spp., and phage /D7 showed the narrowest host range, infecting isolates of Dickeya dadantii and 'D. solani' only. None of the phages was able to infect Pectobacterium spp. isolates. All phages were prone to inactivation by pH 2, temperature of 85°C and by UV illumination for 10 min (50 mJ cm À2 ). Additionally, phages /D1, /D10 and /D11 were inactivated by 5 M NaCl and phage /D2 was inactivated by chloroform. Phages /D1, /D5, /D7 and /D10 were characterized for optimal multiplicity of infection and the rate of adsorption to the bacterial cells. The latent period was 30 min for /D1, 40 min for /D5, 20-30 min for /D7 and 40 min for /D10. The estimated burst size was c. 100 plaque-forming units per infected cell. The bacteriophages were able to completely stop the growth of 'D. solani' in vitro and to protect potato tuber tissue from maceration caused by the bacteria. The potential use of bacteriophages for the biocontrol of biovar 3 Dickeya spp. in potato is discussed.

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Section: Discussionmentioning

confidence: 99%

Isolation and characterization of novel soilborne lytic bacteriophages infecting Dickeya spp. biovar 3 (‘D. solani’)

2013

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“…infections is on the rise because of the intensive spread of Dickeya spp. in Europe (Tsror (Lahkim) et al. (2006, 2009, 2010); Toth et al.…”

Section: Discussionmentioning

confidence: 99%

“…Infection was caused by the new Dickeya sp. clade (Tsror (Lahkim) et al. , 2010) which constitutes a major threat in potato‐growing areas in both Europe and Israel.…”

Section: Discussionmentioning

confidence: 99%

Detection of Dickeya spp. latent infection in potato seed tubers using PCR or ELISA and correlation with disease incidence in commercial field crops under hot‐climate conditions

et al. 2011

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Over a 5-year period (2006)(2007)(2008)(2009)(2010), 277 certified, visually healthy potato seed lots, imported from Europe to Israel for commercial use, were tested for Dickeya spp. latent infection by PCR analysis (277 seed lots) and ELISA (154 seed lots). Seeds from these lots were grown in commercial potato fields which were inspected twice a season by Plant Protection and Inspection Services (PPIS). Stem samples were tested for the presence of Dickeya spp. by PCR analysis. PCR and ELISA results from seed lot testing correlated with disease expression in 74 and 83AE8% of the cases, respectively. Positive laboratory results with no disease symptoms in the field ('+lab ⁄ )field' results) comprised 24AE7 and 9AE7% of the PCR and ELISA analyses, respectively, whereas negative laboratory results with disease symptoms in the field results (')lab ⁄ +field') were obtained in 1AE3 and 6AE5%, of cases respectively. Maximum disease incidence, as well as the number of cultivars expressing disease symptoms, increased over the years of this study, indicating an increase in the prevalence of the disease. Severe disease incidence was observed on cvs Dita, Rodeo, Desiree, Mondial, Tomensa and Jelly. Of the 55 imported seed lots from which disease was recorded in the field, 49 originated from the Netherlands, four from Germany and two from France. None originated from Scotland.

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“…D. dadantii can be found in ground water, crop residues, soils, and also on other plants causing no infection, that would serve as a reservoirs (Nelson, 2009). It can also be isolated from the roots of healthy weeds in agricultural fields (Tsror et al, 2010). On the other hand, it can infect insects, which in turn may serve as dissemination vectors (Reverchon and Nasser, 2013).…”

Section: Introductionmentioning

confidence: 99%

Multicolor Fluorescence Imaging as a Candidate for Disease Detection in Plant Phenotyping

et al. 2016

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The negative impact of conventional farming on environment and human health make improvements on farming management mandatory. Imaging techniques are implemented in remote sensing for monitoring crop fields and plant phenotyping programs. The increasingly large size and complexity of the data obtained by these techniques, makes the implementation of powerful mathematical tools necessary in order to identify informative parameters and to apply them in precision agriculture. Multicolor fluorescence imaging is a useful approach for the study of plant defense responses to stress factors at bench scale. However, it has not been fully applied to plant phenotyping. This work evaluates the possible application of multicolor fluorescence imaging in combination with thermography for the particular case of zucchini plants affected by soft-rot, caused by Dickeya dadantii. Several statistical models -based on logistic regression analysis (LRA) and artificial neural networks (ANN)- were obtained for the experimental system zucchini-D. dadantii, which classify new samples as “healthy” or “infected.” The LRA worked best in identifying high dose-infiltrated leaves (in infiltrated and non-infiltrated areas) whereas ANN offered a higher accuracy at identifying low dose-infiltrated areas. To assess the applicability of these results to cucurbits in a more general way, these models were validated for melon infected by the same pathogen, achieving accurate predictions for the infiltrated areas. The values of accuracy achieved are comparable to those found in the literature for classifiers identifying other infections based on data obtained by different techniques. Thus, MCFI in combination with thermography prove useful at providing data at lab scale that can be analyzed by machine learning. This approach could be scaled up to be applied in plant phenotyping.

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First report of latent infection of Cyperus rotundus caused by a biovar 3 Dickeya sp.(Syn. Erwinia chrysanthemi) in Israel

Cited by 17 publications

References 6 publications

Isolation and characterization of novel soilborne lytic bacteriophages infecting Dickeya spp. biovar 3 (‘D. solani’)

Isolation and characterization of novel soilborne lytic bacteriophages infecting Dickeya spp. biovar 3 (‘D. solani’)

Detection of Dickeya spp. latent infection in potato seed tubers using PCR or ELISA and correlation with disease incidence in commercial field crops under hot‐climate conditions

Multicolor Fluorescence Imaging as a Candidate for Disease Detection in Plant Phenotyping

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