화학공학소재연구정보센터
Journal of Applied Microbiology, Vol.89, No.4, 668-677, 2000
Evaluation of 16s rRNA and cellular fatty acid profiles as markers of human intestinal bacterial growth in the chemostat
Chemostats were used to study the effects of carbon and nitrogen limitation and specific growth rate on 16S rRNA synthesis and cellular fatty acid (CFA) profiles in four human intestinal bacteria (Bacteroides thetaiotaomicron, Bifidobacterium adolescentis, Clostridium bifermentans and Cl. difficile). Cellular fatty acid synthesis varied with dilution rate and nutrient availability in different species, but these cellular constituents were relatively stable phenotypic characteristics in Bact. thetaiotaomicron, where branched chain and hydroxy CFA were good taxonomic markers. Conversely, CFA in the Gram-positive bacteria varied markedly with changes in growth environment. For example, in chemostats, cyclopropane CFA were only synthesized in Cl. bifermentans and Cl. difficile under N-limited conditions. Similarly, Dimethyl acetal (DMA) fatty acids in Bif. adolescentis were primarily produced during N-limited growth, and this was inversely related to dilution rate. At low growth rates, 16S rRNA concentrations (mug rRNA per ml culture) correlated with viable bacterial counts, but were more closely related to specific growth rate when expressed as a function of cell mass (mug rRNA per mg dry weight bacteria). However, this did not reveal differences in bacterial population size and rRNA concentration in C-limited cultures. Thus, at low dilution rates, C limitation strongly reduced rRNA synthesis in Cl. bifermentans, despite viable cell counts being similar to those in N-limited cultures. These results indicate that, while 16S rRNA is a useful indicator of microbial activity, cell growth rate does not necessarily relate to rRNA concentration under all nutritional conditions. Consequently, bowel habit and diet will affect both CFA and rRNA content in bacteria isolated from intestinal samples, and this should be taken into consideration when interpreting such data measurements.