Jongsik Chun

Amycolatopsis japonicum sp. nov., an Actinomycete Producing (S,S)-N,N'-Ethylenediaminedisuccinic Acid

Summary The generic position of an aerobic, Gram-positive organism known as actinomycete MG417-CF17 was determined following isolation of the PCR amplified 16S rRNA genes and alignment of the resultant sequence with corresponding sequences from representatives of the family Pseudonocardiaceae . The assignment of the organism to the genus Amycolatopsis was strongly supported by chemotaxonomic and morphological data. The strain was distinguished from representatives of validly described Amycolatopsis species by a number of phenotypic properties. It is proposed that strain MG417-CF17 be classified in the genus Amycolatopsis as Amycolatopsis japonicum sp. nov.

Long-term identification of streptomycetes using pyrolysis mass spectrometry and artificial neural networks.

Sixteen reference strains and thirteen fresh isolates of three putatively novel Streptomyces species were examined six times over twenty months using pyrolysis mass spectrometry to examine the long-term reproducibility of the procedure. The reference strains and new isolates were correctly identified using information in each of the datasets and operational fingerprinting, but direct statistical comparison of the datasets for strain identification was unsuccessful between datasets. Artificial neural networks were also used to identify the strains held in the datasets. Neural networks trained with pyrolysis mass spectra from a single dataset were found to successfully identify the reference strains and fresh isolates in that dataset but were unable to identify many of the strains in the other datasets. However, a neural network trained on representative pyrolysis mass spectra from each of the first three datasets were found to identify the reference strains and fresh isolates in those three datasets and in the three subsequent datasets. Therefore, artificial neural network analysis of pyrolysis mass spectrometric data can provide a rapid, cost-effective, accurate and long-term reproducible way of identifying and typing microorganisms.