TY  - JOUR
AU  - Ivanović, Milan M
AU  - Obradović, Aleksa
AU  - Gašić, Katarina
AU  - Minsavage, Gerald V
AU  - Dickstein, Ellen R
AU  - Jones, Jeffrey B
PY  - 2012
UR  - https://plantarum.izbis.bg.ac.rs/handle/123456789/219
PB  - Springer, Dordrecht
T2  - European Journal of Plant Pathology
T1  - Erratum to: Exploring diversity of Erwinia amylovora population in Serbia by conventional and automated techniques and detection of new PFGE patterns (vol 133, pg 545, 2012)
EP  - 443
IS  - 2
SP  - 443
VL  - 134
DO  - 10.1007/s10658-012-0037-y
ER  - 

@article{
author = "Ivanović, Milan M and Obradović, Aleksa and Gašić, Katarina and Minsavage, Gerald V and Dickstein, Ellen R and Jones, Jeffrey B",
year = "2012",
publisher = "Springer, Dordrecht",
journal = "European Journal of Plant Pathology",
title = "Erratum to: Exploring diversity of Erwinia amylovora population in Serbia by conventional and automated techniques and detection of new PFGE patterns (vol 133, pg 545, 2012)",
pages = "443-443",
number = "2",
volume = "134",
doi = "10.1007/s10658-012-0037-y"
}

Ivanović, M. M., Obradović, A., Gašić, K., Minsavage, G. V., Dickstein, E. R.,& Jones, J. B.. (2012). Erratum to: Exploring diversity of Erwinia amylovora population in Serbia by conventional and automated techniques and detection of new PFGE patterns (vol 133, pg 545, 2012). in European Journal of Plant Pathology
Springer, Dordrecht., 134(2), 443-443.
https://doi.org/10.1007/s10658-012-0037-y

Ivanović MM, Obradović A, Gašić K, Minsavage GV, Dickstein ER, Jones JB. Erratum to: Exploring diversity of Erwinia amylovora population in Serbia by conventional and automated techniques and detection of new PFGE patterns (vol 133, pg 545, 2012). in European Journal of Plant Pathology. 2012;134(2):443-443.
doi:10.1007/s10658-012-0037-y .

Ivanović, Milan M, Obradović, Aleksa, Gašić, Katarina, Minsavage, Gerald V, Dickstein, Ellen R, Jones, Jeffrey B, "Erratum to: Exploring diversity of Erwinia amylovora population in Serbia by conventional and automated techniques and detection of new PFGE patterns (vol 133, pg 545, 2012)" in European Journal of Plant Pathology, 134, no. 2 (2012):443-443,
https://doi.org/10.1007/s10658-012-0037-y . .

TY  - JOUR
AU  - Ivanović, Milan M
AU  - Obradović, Aleksa
AU  - Gašić, Katarina
AU  - Minsavage, Gerald V
AU  - Dickstein, Ellen R
AU  - Jones, Jeffrey B
PY  - 2012
UR  - https://plantarum.izbis.bg.ac.rs/handle/123456789/213
AB  - Forty Erwinia amylovora strains originating from different host plants and locations in Serbia and one strain from Montenegro were characterized by conventional, automated and molecular techniques. All strains were Gram-negative, nonfluorescent, facultative anaerobes, oxidase negative, levan positive, produced necrotic lesions followed by bacterial exudate on artificially inoculated immature pear fruits and caused HR on tobacco. Based on carbon source utilization, all strains tested with the Biolog system were identified as E. amylovora. Based on fatty acid profiles all tested strains clustered into three groups in which strains from north Serbia differed from strains isolated in central and south parts of the country. Restriction analysis of genomic DNA using XbaI and PFGE resulted in six different patterns differentiating the strains into six groups. Most of the investigated strains clustered in one group having the pattern type similar to Pt2 group described earlier as dominant in East Europe and the Mediterranean region. Two strains showed PFGE pattern similar to the previously described Pt3 pattern and one strain had pattern similar to Pt6. Based on size and number of the bands, new restriction patterns, assigned as Pt7, Pt8 and Pt9 were observed. PFGE results showed that E. amylovora population in Serbia is not homogenous and was possibly introduced from different directions. This is the first characterization of E. amylovora collection of strains from Serbia using fatty acid analysis and PFGE.
PB  - Springer, Dordrecht
T2  - European Journal of Plant Pathology
T1  - Exploring diversity of Erwinia amylovora population in Serbia by conventional and automated techniques and detection of new PFGE patterns
EP  - 727
IS  - 3
SP  - 715
VL  - 133
DO  - 10.1007/s10658-012-9950-3
ER  - 

@article{
author = "Ivanović, Milan M and Obradović, Aleksa and Gašić, Katarina and Minsavage, Gerald V and Dickstein, Ellen R and Jones, Jeffrey B",
year = "2012",
abstract = "Forty Erwinia amylovora strains originating from different host plants and locations in Serbia and one strain from Montenegro were characterized by conventional, automated and molecular techniques. All strains were Gram-negative, nonfluorescent, facultative anaerobes, oxidase negative, levan positive, produced necrotic lesions followed by bacterial exudate on artificially inoculated immature pear fruits and caused HR on tobacco. Based on carbon source utilization, all strains tested with the Biolog system were identified as E. amylovora. Based on fatty acid profiles all tested strains clustered into three groups in which strains from north Serbia differed from strains isolated in central and south parts of the country. Restriction analysis of genomic DNA using XbaI and PFGE resulted in six different patterns differentiating the strains into six groups. Most of the investigated strains clustered in one group having the pattern type similar to Pt2 group described earlier as dominant in East Europe and the Mediterranean region. Two strains showed PFGE pattern similar to the previously described Pt3 pattern and one strain had pattern similar to Pt6. Based on size and number of the bands, new restriction patterns, assigned as Pt7, Pt8 and Pt9 were observed. PFGE results showed that E. amylovora population in Serbia is not homogenous and was possibly introduced from different directions. This is the first characterization of E. amylovora collection of strains from Serbia using fatty acid analysis and PFGE.",
publisher = "Springer, Dordrecht",
journal = "European Journal of Plant Pathology",
title = "Exploring diversity of Erwinia amylovora population in Serbia by conventional and automated techniques and detection of new PFGE patterns",
pages = "727-715",
number = "3",
volume = "133",
doi = "10.1007/s10658-012-9950-3"
}

Ivanović, M. M., Obradović, A., Gašić, K., Minsavage, G. V., Dickstein, E. R.,& Jones, J. B.. (2012). Exploring diversity of Erwinia amylovora population in Serbia by conventional and automated techniques and detection of new PFGE patterns. in European Journal of Plant Pathology
Springer, Dordrecht., 133(3), 715-727.
https://doi.org/10.1007/s10658-012-9950-3

Ivanović MM, Obradović A, Gašić K, Minsavage GV, Dickstein ER, Jones JB. Exploring diversity of Erwinia amylovora population in Serbia by conventional and automated techniques and detection of new PFGE patterns. in European Journal of Plant Pathology. 2012;133(3):715-727.
doi:10.1007/s10658-012-9950-3 .

Ivanović, Milan M, Obradović, Aleksa, Gašić, Katarina, Minsavage, Gerald V, Dickstein, Ellen R, Jones, Jeffrey B, "Exploring diversity of Erwinia amylovora population in Serbia by conventional and automated techniques and detection of new PFGE patterns" in European Journal of Plant Pathology, 133, no. 3 (2012):715-727,
https://doi.org/10.1007/s10658-012-9950-3 . .

TY  - CONF
AU  - Ivanović, M.
AU  - Gašić, Katarina
AU  - Obradović, Aleksa
AU  - Dickstein, Ellen R
AU  - Jones, J. B.
AU  - Gavrilović, Veljko
AU  - Balaž, Jelica
PY  - 2011
UR  - https://plantarum.izbis.bg.ac.rs/handle/123456789/156
AB  - A collection of 41 Erwinia amylovora strains isolated from 8 plant species at 13 locations in Serbia and one location in Montenegro was tested and their relationship was determined based on carbohydrate metabolism and fatty acid composition. Metabolism of carbon compounds was tested using the Biolog GN MicroPlate system. After 24 h of incubation, the resulting metabolic fingerprints were recorded and compared with the Biolog GN database. Fatty acid composition was analyzed by Microbial Identification System and compared with the data from the MIDI database. Our results showed that all strains tested were identified as E. amylovora, with similarity index (SI) between 0.62 and 0.99, using BIOLOG. Based on fatty acid composition, 39 strains were identified as E. amylovora, with SI between 0.61 and 0.92. More than 14 fatty acids were detected, eight of which were present in all strains with more than 1% of the total named peak area. Based on quantitative and qualitative content of fatty acid composition, the isolates were clustered into three groups: alpha, beta and gamma (Euclidian distance  lt = 6). Cluster analysis revealed that groups beta and gamma consists of only strains isolated from north Serbia, whereas all strains isolated from central or south Serbia belong to group alpha.
PB  - Int Soc Horticultural Science, Leuven 1
C3  - XII International Workshop on Fire Blight
T1  - Identification and Differentiation of Erwinia amylovora Using Fatty Acid Analysis and BIOLOG
EP  - 71
SP  - 65
VL  - 896
ER  - 

@conference{
author = "Ivanović, M. and Gašić, Katarina and Obradović, Aleksa and Dickstein, Ellen R and Jones, J. B. and Gavrilović, Veljko and Balaž, Jelica",
year = "2011",
abstract = "A collection of 41 Erwinia amylovora strains isolated from 8 plant species at 13 locations in Serbia and one location in Montenegro was tested and their relationship was determined based on carbohydrate metabolism and fatty acid composition. Metabolism of carbon compounds was tested using the Biolog GN MicroPlate system. After 24 h of incubation, the resulting metabolic fingerprints were recorded and compared with the Biolog GN database. Fatty acid composition was analyzed by Microbial Identification System and compared with the data from the MIDI database. Our results showed that all strains tested were identified as E. amylovora, with similarity index (SI) between 0.62 and 0.99, using BIOLOG. Based on fatty acid composition, 39 strains were identified as E. amylovora, with SI between 0.61 and 0.92. More than 14 fatty acids were detected, eight of which were present in all strains with more than 1% of the total named peak area. Based on quantitative and qualitative content of fatty acid composition, the isolates were clustered into three groups: alpha, beta and gamma (Euclidian distance  lt = 6). Cluster analysis revealed that groups beta and gamma consists of only strains isolated from north Serbia, whereas all strains isolated from central or south Serbia belong to group alpha.",
publisher = "Int Soc Horticultural Science, Leuven 1",
journal = "XII International Workshop on Fire Blight",
title = "Identification and Differentiation of Erwinia amylovora Using Fatty Acid Analysis and BIOLOG",
pages = "71-65",
volume = "896"
}

Ivanović, M., Gašić, K., Obradović, A., Dickstein, E. R., Jones, J. B., Gavrilović, V.,& Balaž, J.. (2011). Identification and Differentiation of Erwinia amylovora Using Fatty Acid Analysis and BIOLOG. in XII International Workshop on Fire Blight
Int Soc Horticultural Science, Leuven 1., 896, 65-71.

Ivanović M, Gašić K, Obradović A, Dickstein ER, Jones JB, Gavrilović V, Balaž J. Identification and Differentiation of Erwinia amylovora Using Fatty Acid Analysis and BIOLOG. in XII International Workshop on Fire Blight. 2011;896:65-71..

Ivanović, M., Gašić, Katarina, Obradović, Aleksa, Dickstein, Ellen R, Jones, J. B., Gavrilović, Veljko, Balaž, Jelica, "Identification and Differentiation of Erwinia amylovora Using Fatty Acid Analysis and BIOLOG" in XII International Workshop on Fire Blight, 896 (2011):65-71.