Author: Carvalho Carla C.C.R. de Fonseca M. Manuela R. da
Publisher: Informa Healthcare
ISSN: 1024-2422
Source: Biocatalysis and Biotransformation, Vol.22, Iss.3, 2004-05, pp. : 203-214
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
The behaviour of cells of Rhodococcus erythropolis DCL14, Xanthobacter Py2, Arthrobacter simplex and Mycobacterium sp. NRRL B-3805, in biphasic systems containing different organic solvents was evaluated and compared. The data, obtained mainly by fluorescence microscopy and image analysis, was interpreted using principal components analysis (PCA). With this technique, the variability of the data could be summarised in 7 components, representing 75.8% of the variance of the data. Over a third of the variance could be explained by the first two principal components which represent solvent toxicity. Apparently this is the major factor influencing cell behaviour in an organic:aqueous system. However, factors such as substrate concentration, cell adaptation ability (resulting in morphological changes and aggregation or separation of cells) and membrane composition (specific to each strain) also play an important role in cell resistance to solvent toxicity. The results regarding cell shape indicate that loss of viability occurs, in the tested bacterial strains, after incorporation of molecules of solvent in the cellular membrane. This should result in an increase in membrane fluidity, and thus, in an alteration of cell shape. The ability to form "self-defence" clusters was observed to be different amongst the four strains. X. Py2 showed, in general, a low tendency to form aggregates under the tested conditions; A. simplex and R. erythropolis aggregated mainly in the presence of low log P solvents; and Mycobacterium. sp. cells showed a high ability to aggregate.
Related content
Growth of Gram-negative bacteria in the presence of organic solvents
Enzyme and Microbial Technology, Vol. 19, Iss. 8, 1996-12 ,pp. :
Principal component analysis of shape variables in adult individuals
Annals of Human Biology, Vol. 16, Iss. 4, 1989-08 ,pp. :