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1 Department of Food Science and Technology, Tokyo University of Fisheries, Minato-ku, Tokyo 108-8477, Japan
2 Department of Ecological Engineering, Toyohashi University of Technology, Toyohashi 466-8677, Japan
3 Osaka University of Pharmaceutical Sciences, Takatsuki, Osaka 569-1094, Japan
Correspondence
Chiaki Imada
imada{at}tokyo-u-fish.ac.jp
A marine bacterium producing protease inhibitors was isolated from neritic sea water and was studied phenotypically, genotypically and phylogenetically. This bacterium (strain B-10-31T) produced three types of protease inhibitor, namely, marinostatin, monastatin and leupeptin, which were considerably different in terms of their chemical structure and properties. Strain B-10-31T was a rod-shaped, non-spore-forming, Gram-negative, strictly aerobic bacterium that was motile by means of one polar flagellum. The strain required Na+ for growth and exhibited optimal growth at 27 °C, pH 8·0 and 2 % (w/v) NaCl. It utilized various substrates, such as D-glucose, maltose, maltotriose, N-acetylglucosamine, L-threonine, L-serine, L-arginine, L-proline, L-
-alanine and L-glutamate, as the sole energy source. Ubiquinone-8 was the major respiratory quinone. The major fatty acids were C16 : 0, C16 : 1 
7c, C16 : 1 9c and C18 : 1 7c. The G+C content of the DNA of strain B-10-31T was 42·0 mol%. Phylogenetic analysis, based on 16S rDNA sequences, showed that the strain clustered in the 
-Proteobacteria. The aerobic marine bacterium Pseudoalteromonas bacteriolytica was the species most closely related to the new isolate (90·4 % 16S rDNA sequence similarity); other described species in the -Proteobacteria cluster showed low levels of sequence similarity with strain B-10-31T (<90 %). Based on the above results, it is proposed that the novel marine bacterium should be classified as a new species, for which the name Pseudoalteromonas sagamiensis (type strain B-10-31T=JCM 11461T=DSM 14643T) is proposed.
A tree showing the phylogenetic position of P. sagamiensis B-10-31T among related taxa but constructed using a larger dataset can be found in IJSEM Online.
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