Pseudomonads

Auling, Georg

doi:10.1002/9783527620999.ch12

Cited by 2 publications

(2 citation statements)

References 130 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Pseudomonads have been described to represent one of the dominant groups colonizing the leaf surfaces (Lindow & Brandl, 2003). Since they are abundant in different environmental compartments such as air, soil and water (Auling, 1993), it is not surprising to find pseudomonads in the phyllopshere as well. Most likely, many (SaO3,SaU6sm,SaU7,SaU5,SaO5sm and SoO7) and Prunus laurocerasus cuticles (DSM939, DSM50859 and DSM20131).…”

Section: Discussionmentioning

confidence: 99%

Plant–microbe interactions: identification of epiphytic bacteria and their ability to alter leaf surface permeability

et al. 2005

Self Cite

View full text Add to dashboard Cite

Summary• Bacteria were either isolated from leaf surfaces of Hedera helix or obtained from a culture collection in order to analyse their effect on barrier properties of isolated Hedera and Prunus laurocerasus cuticles.• On the basis of the 16S rDNA sequences the genera of the six bacterial isolates from Hedera were identified as Pseudomonas sp., Stenotrophomonas sp. and Achromobacter . Water permeability of cuticles isolated from H. helix was measured before and after inoculation with the six bacterial strains. In addition water permeability of cuticles isolated from P. laurocerasus was measured before and after inoculation with the three bacterial strains Pseudomonas aeruginosa , Xanthomonas campestris and Corynebacterium fascians .• Rates of water diffusing across isolated cuticles of both species significantly increased by up to 50% after inoculation with all bacterial strains.• Obtained results show that epiphytic bacteria have the ability of increasing water permeability of Hedera and Prunus cuticles, which in turn should increase the availability of water and dissolved compounds in the phyllopshere. Consequently, living conditions in the habitat phyllosphere are improved. It can be concluded that the ability to change leaf surface properties will improve epiphytic fitness of leaf surface bacteria.

show abstract

Section: Discussionmentioning

confidence: 99%

Plant–microbe interactions: identification of epiphytic bacteria and their ability to alter leaf surface permeability

et al. 2005

Self Cite

View full text Add to dashboard Cite

show abstract

“…A). Pseudomonas strains are well‐known for their ability to occupy a broad spectrum of environments as free‐living soil organisms or as prominent opportunistic pathogens (Auling, ). Among the 221 analysed Pseudomonas strains, 197 (89%) were assigned plant‐associated probabilities above 0.8, and only 13 (5%) below 0.7.…”

Section: Resultsmentioning

confidence: 99%

Prediction of bacterial associations with plants using a supervised machine‐learning approach

Martínez-García

López‐Solanilla

Ramos

et al. 2016

Environmental Microbiology

View full text Add to dashboard Cite

Recent scenarios of fresh produce contamination by human enteric pathogens have resulted in severe food-borne outbreaks, and a new paradigm has emerged stating that some human-associated bacteria can use plants as secondary hosts. As a consequence, there has been growing concern in the scientific community about these interactions that have not yet been elucidated. Since this is a relatively new area, there is a lack of strategies to address the problem of food-borne illnesses due to the ingestion of fruits and vegetables. In the present study, we performed specific genome annotations to train a supervised machine-learning model that allows for the identification of plant-associated bacteria with a precision of ∼93%. The application of our method to approximately 9500 genomes predicted several unknown interactions between well-known human pathogens and plants, and it also confirmed several cases for which evidence has been reported. We observed that factors involved in adhesion, the deconstruction of the plant cell wall and detoxifying activities were highlighted as the most predictive features. The application of our strategy to sequenced strains that are involved in food poisoning can be used as a primary screening tool to determine the possible causes of contaminations.

show abstract

Pseudomonads

Cited by 2 publications

References 130 publications

Plant–microbe interactions: identification of epiphytic bacteria and their ability to alter leaf surface permeability

Plant–microbe interactions: identification of epiphytic bacteria and their ability to alter leaf surface permeability

Prediction of bacterial associations with plants using a supervised machine‐learning approach

Contact Info

Product

Resources

About