Flow cytometric signatures (i.e., light scatter, red and green fluorescence) were obtained for the active but non-culturable (ABNC) cells of E. coli and a coliform isolate H03N1, in seawater microcosms using BacLight, a live-dead assay kit from Molecular Probes (Eugene/Portland, OR). Previous studies have reported that there are two major adaptations, which cells undergo during the formation of ABNC states: cell wall toughening and DNA condensation. Therefore, we hypothesized that the matured ABNC forms should be more resistant to extreme temperature treatments (i.e., by freezing in liquid nitrogen and thawing at room temperature) than the normal and transition populations. It was shown that the membrane-compromised cells (comprising of normal wild-type and dead cells which are less resistant to rapid freeze thaw) could be differentiated from the matured ABNC using BacLight staining and fluorescence detection by flow cytometry. The population of ABNC cells, which could not be cultured using m-FC media (for the enumeration of fecal coliforms), was resuscitated in phosphate buffer saline followed by growth in Luria broth. Flow cytometry was thus able to detect and differentiate the ABNC cells against a mixed population comprising of culturable cells, transition populations, and dead cells. The results also showed that the formation of ABNC is as early as 2 days in seawater microcosms. By directly comparing the coliform levels enumerated by the BacLight based flow cytometry assays and m-FC technique, it was shown that the presence of coliforms can be undetected by the membrane filtration method.

While cultivation is a convenient way of proliferating and understanding bacteria, studies have shown the formation of nonculturable cells in nonspore-forming bacteria in response to environmental stress and thus in turn have generated immense interest. Whether these cells are in a state of dormancy or in a stage preceding cell death has been considered of paramount importance for the past couple of decades. In this study, osmotic-stress-induced dormant bacterial cells were separated by cell sorting and revived by osmotic down-shift in the absence of nutrients, source(s) that potentially could supply nutrients, and/or the external addition of resuscitation factor(s). Reversal of dormancy followed a definite pattern akin to population asynchrony of dormant cells, and the phenomenon was observed across three species, namely, Enterobacter sp. strain mcp11b, Klebsiella pneumonia strain mcp11d and Escherichia coli. In addition, our study precisely forecasted the presence of multiple subpopulations in dormant cells, which is explained by an emerging theory of survival mechanisms in stressful environments. These observations reveal that the state of dormancy induced by environmental stress in these nonspore-forming bacteria is "reversible" and also implies that it is an orderly and spontaneous adaptation to circumvent adverse conditions.

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Alkaline protease is a class of important hydrolytic enzymes having wide applications in bioprocess industries. Their optimum pH in the alkaline range and stability at higher temperatures make them ideal in detergent and leather processing industries. These enzymes have excellent depilating capacity. The present study aims at process optimization for the production of alkaline protease from Bacillus amyloliquefaciens ATCC 23844. Information on the optimal operating temperature and pH were elicited from speci®c growth rates and alkaline protease yields. It was also observed that besides pH and temperature, the oxygen transfer rate is another important limiting variable for the production of protease. Volumetric oxygen transfer coef®cient (k L a) was estimated at various impeller speeds and aeration rates. The optimal impeller speed and aeration rates were determined from k L a and the relative protease yield data. It was understood that the oxygen transfer rate is one of the crucial parameters for the production of proteolytic enzymes by B. amyloliquefaciens. List of symbols mkinematic viscosity of the culture broth (m 2 s A1 ) g dynamic viscosity of the culture broth (kg s A1 m A1 ) q density of the culture broth (kg m A3 ) g acceleration due to gravity (m s A2 ) P energy transferred per time unit from the stirrer to the¯uid (N m s A1 ) V volume of the culture (m 3 ) F volumetric gas¯ow rate (m 3 s A1 ) D vessel diameter (m) k L a volumetric oxygen transfer coef®cient (h A1 ) B gasi®cation parameter (dimensionless) (P g /V) à power parameter (dimensionless) k L a à mass transfer parameter (dimensionless)