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Predominant Epiphytic Bacteria on DamagedPolymnia sonchifoliaLeaves, and Their Metabolic Properties on Phenolics of Plant Origin

Authors: Yasuyuki Hashidoko; Mimako Urashima; Tadashi Yoshida;

Predominant Epiphytic Bacteria on DamagedPolymnia sonchifoliaLeaves, and Their Metabolic Properties on Phenolics of Plant Origin

Abstract

The epiphytic microfloral population on damaged and non-damaged leaf surfaces of Polymnia sonchifolia (Compositae) was examined, and metabolic properties of microbes predominant on the damaged leaves were studied. On the damaged leaf surface, some epiphytic Gram-negative bacteria able to metabolize phenolic compounds of plant origin were highly ascendant. The most dominant bacterium, Pseudomonas viridiflava had a high activity of peroxidase on pyrocatechol, while the second major bacterium Phyllobacterium myrsinacearum, produced 4-hydroxycinnamate decarboxylase. Thus, it was likely that epiphytic bacteria predominant on damaged leaves can metabolize plant phenolics. These epiphytic bacteria frequently formed mixed colonies during their isolation, and the mixed colonies were retarded in their growing rate compared with single colonies of each.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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