Insect Intestine Host Plant Pathogenic Bacteria that Cause Soft Rot of Neuboxbaumia tetetzo in Zapotitlan Salinas Valley, Puebla, Mexico

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.

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

New Biotechnology ◽

10.1016/j.nbt.2016.06.881 ◽

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

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Antibacterial activity of root endophytic aquatic hyphomycetes against plant pathogenic bacteria

Vegetos- An International Journal of Plant Research ◽

10.1007/s42535-021-00257-3 ◽

2021 ◽

Author(s):

Prabha Pant ◽

S. C. Sati

Keyword(s):

Antibacterial Activity ◽

Pathogenic Bacteria ◽

Aquatic Hyphomycetes ◽

Plant Pathogenic Bacteria

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

Microorganisms ◽

10.3390/microorganisms7040101 ◽

2019 ◽

Vol 7 (4) ◽

pp. 101 ◽

Cited By ~ 5

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.

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