Optimization of conditions in random amplified polymorphic DNA (RAPD) reaction for determination of plant pathogenic bacteria

2008 ◽  
Vol 43 (1) ◽  
pp. 69-75
Author(s):  
D. Obradovic ◽  
J. Balaz ◽  
S. Kevresan
Keyword(s):  
Pathogenic Bacteria ◽  
Random Amplified Polymorphic Dna ◽  
Plant Pathogenic Bacteria

THE ACTIVITY OF ESSENTIAL OILS OBTAINED FROM SPECIES AND INTERSPECIES HYBRIDS OF THE Mentha GENUS AGAINST SELECTED PLANT PATHOGENIC BACTERIA

2018 ◽  
Vol 17 (6) ◽  
pp. 167-174 ◽  
Author(s):  
Małgorzata Schollenberger ◽  
Tomasz M. Staniek ◽  
Elżbieta Paduch-Cichal ◽  
Beata Dasiewicz ◽  
Agnieszka Gadomska-Gajadhur ◽  
...  
Keyword(s):  
Essential Oils ◽  
Pseudomonas Syringae ◽  
Pathogenic Bacteria ◽  
Antimicrobial Effect ◽  
Mentha Piperita ◽  
Mentha Spicata ◽  
Plant Essential Oils ◽  
Plant Pathogenic Bacteria ◽  
Interspecies Hybrids

Plant essential oils of six aromatic herb species and interspecies hybrids of the family Lamiaceae – chocolate mint (Mentha piperita × ‘Chocolate’), pineapple mint (Mentha suaveolens ‘Variegata’), apple mint (Mentha × rotundifolia), spearmint (Mentha spicata), orange mint (Mentha × piperita ‘Granada’) and strawberry mint (Mentha × villosa ‘Strawberry’) – were investigated for antimicrobial effects against plant pathogenic bacteria: Agrobacterium tumefaciens, Pseudomonas syringae pv. syringae and Xanthomonas arboricola pv. corylina. The screening was carried out in vitro on agar plates filled with the target organism. All essential oils screened exhibited a higher level of antibacterial activity against A. tumefaciens and X. arboricola pv. corylina than streptomycin used as a standard in all tests. The antimicrobial effect of streptomycin and five mint oils was at the same level for P. syringae pv. syringae. There were no significant differences in the influence of the chocolate mint oil on the growth inhibition of all bacteria tested. Plant essential oils from pineapple mint, apple mint, spearmint and strawberry mint showed the weakest antimicrobial activity against P. syringae pv. syringae and the strongest towards A. tumefaciens and X. arboricola pv. corylina. The essential oils from strawberry mint, pineapple mint, spearmint and apple mint had the strongest effect on A. tumefaciens, and the lowest inhibitory activity was exhibited by the chocolate mint and orange mint essential oils. X. arboricola pv. corylina was the most sensitive to the strawberry mint, pineapple mint and spearmint oils. The chocolate mint oil showed the greatest activity against P. syringae pv. syringae.

Monitoring of seed potato plantations and surface waters for plant pathogenic bacteria from the genera Dickeya and Pectobacterium

2016 ◽  
Vol 33 ◽  
pp. S45
Author(s):  
Agata Motyka ◽  
Sabina Zoledowska ◽  
Wojciech Sledz ◽  
Marta Potrykus ◽  
Malgorzata Golanowska ◽  
...  
Keyword(s):  
Seed Potato ◽  
Surface Waters ◽  
Pathogenic Bacteria ◽  
Plant Pathogenic Bacteria

scholarly journals Metabolic Modeling of Pectobacterium parmentieri SCC3193 Provides Insights into Metabolic Pathways of Plant Pathogenic Bacteria

2019 ◽  
Vol 7 (4) ◽  
pp. 101 ◽  
Author(s):  
Sabina Zoledowska ◽  
Luana Presta ◽  
Marco Fondi ◽  
Francesca Decorosi ◽  
Luciana Giovannetti ◽  
...  
Keyword(s):  
In Silico ◽  
Pathogenic Bacteria ◽  
Metabolic Modeling ◽  
Metabolic Model ◽  
Metabolic Adaptation ◽  
Ecological Niches ◽  
Plant Colonization ◽  
Phenotypic Data ◽  
Plant Pathogenic Bacteria ◽  
Metabolic Versatility

Understanding plant–microbe interactions is crucial for improving plants’ productivity and protection. Constraint-based metabolic modeling is one of the possible ways to investigate the bacterial adaptation to different ecological niches and may give insights into the metabolic versatility of plant pathogenic bacteria. We reconstructed a raw metabolic model of the emerging plant pathogenic bacterium Pectobacterium parmentieri SCC3193 with the use of KBase. The model was curated by using inParanoind and phenotypic data generated with the use of the OmniLog system. Metabolic modeling was performed through COBRApy Toolbox v. 0.10.1. The curated metabolic model of P. parmentieri SCC3193 is highly reliable, as in silico obtained results overlapped up to 91% with experimental data on carbon utilization phenotypes. By mean of flux balance analysis (FBA), we predicted the metabolic adaptation of P. parmentieri SCC3193 to two different ecological niches, relevant for the persistence and plant colonization by this bacterium: soil and the rhizosphere. We performed in silico gene deletions to predict the set of essential core genes for this bacterium to grow in such environments. We anticipate that our metabolic model will be a valuable element for defining a set of metabolic targets to control infection and spreading of this plant pathogen.

scholarly journals Exploring the phytoplasmas, plant pathogenic bacteria

2014 ◽  
Vol 80 (3) ◽  
pp. 210-221 ◽  
Author(s):  
Kensaku Maejima ◽  
Kenro Oshima ◽  
Shigetou Namba
Keyword(s):  
Pathogenic Bacteria ◽  
Plant Pathogenic Bacteria

scholarly journals Antimicrobial peptides in patients with anorexia nervosa: comparison with healthy controls and the impact of weight gain

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Marie-Christin Bendix ◽  
Michael Stephan ◽  
Mariel Nöhre ◽  
Wally Wünsch-Leiteritz ◽  
Hagen Schmidt ◽  
...  
Keyword(s):  
Anorexia Nervosa ◽  
Weight Gain ◽  
Antimicrobial Peptides ◽  
Pathogenic Bacteria ◽  
Innate Immune ◽  
Effect Sizes ◽  
Healthy Controls ◽  
Clinical Observations ◽  
The Impact

AbstractClinical observations show that patients with anorexia nervosa (AN) are surprisingly free from infectious diseases. There is evidence from studies in Drosophila melanogaster that starvation leads to an increased expression of antimicrobial peptides (AMPs). AMPs are part of the innate immune system and protect human surfaces from colonization with pathogenic bacteria, viruses and fungi. We compared the expression of AMPs between patients with AN and healthy controls (HC) and investigated the influence of weight gain. Using a standardized skin rinsing method, quantitative determination of the AMPs psoriasin and RNase 7 was carried out by ELISA. Even though non-significant, effect sizes revealed slightly higher AMP concentrations in HC. After a mean weight gain of 2.0 body mass index points, the concentration of psoriasin on the forehead of patients with AN increased significantly. We could not confirm our hypotheses of higher AMP concentrations in patients with AN that decrease after weight gain. On the contrary, weight gain seems to be associated with increasing AMP concentrations.

scholarly journals Determination of lethal concentration and antibacterial activity of commonly used disinfectants

1970 ◽  
Vol 1 (4) ◽  
pp. 102-105 ◽  
Author(s):  
M Alam ◽  
MM Rahman ◽  
MJ Foysal ◽  
MN Hossain
Keyword(s):  
Methylene Blue ◽  
Pseudomonas Fluorescens ◽  
Potassium Permanganate ◽  
Malachite Green ◽  
Copper Sulfate ◽  
Pathogenic Bacteria ◽  
Labeo Rohita ◽  
Inhibitory Effect ◽  
Lethal Concentration

The toxic effects of four disinfectants viz., copper sulfate (CuSO4), potassium permanganate (KMnO4), methylene blue and malachite green on fish and fish pathogenic bacteria Aeromonas sp., Pseudomonas fluorescens, Edwardsiella sp. and Flavobacterium sp. were investigated. Lethal concentration of the disinfectants to fingerlings of Labeo rohita was determined in aquarium by standard method. Lethal concentration of copper sulfate (CuSO4), potassium permanganate (KMnO4), methylene blue and malachite green against fish were found in 0.75ppm, 7ppm, 6ppm and 0.5ppm at 21.4hrs, 18hrs, 9.5hrs and 1.40hrs, respectively. Methylene blue at 4ppm and 5ppm concentration inhibited the growth of Pseudomonas fluorescens and 6ppm concentration suppressed the growth of Aeromonas sp. Copper sulfate (CuSO4) was effective only against Edwardsiella sp at concentration of 10ppm and 8ppm. Malachite green repressed the growth of all four tasted bacteria at a concentration of 1ppm. Potassium permanganate (KMnO4) was failed to exhibit any inhibitory effect on the bacteria even at 30ppm concentration. DOI: http://dx.doi.org/10.3329/ijns.v1i4.9738 IJNS 2011 1(4): 102-105

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