No abstract

One possible route to the evaluation of gene function is a quantitative approach based on the concepts of metabolic control analysis (MCA). An important first step in such an analysis is to determine the effect of deleting individual genes on the growth rate (or fitness) of S. cerevisiae. Since the specific growth‐rate effects of most genes are likely to be small, we employed competition experiments in chemostat culture to measure the proportion of deletion mutants relative to that of a standard strain by using a quantitative PCR method. In this paper, we show that both densitometry and GeneScan™ analysis can be used with similar accuracy and reproducibility to determine the proportions of (at least) two strains simultaneously, in the range 10–90% of the total cell population. Furthermore, we report on a model competition experiment between two diploid nuclear petite mutants, homozygous for deletions in the cox5a or pet191 genes, and the standard strain (ho::kanMX4/ho::kanMX4) in chemostat cultures under six different physiological conditions. The results indicate that competition experiments in continuous culture are a suitable method to distinguish quantitatively between deletion mutants that qualitatively exhibit the same phenotype. © 1998 John Wiley & Sons, Ltd.

One possible route to the evaluation of gene function is a quantitative approach based on the concepts of metabolic control analysis (MCA). An important first step in such an analysis is to determine the effect of deleting individual genes on the growth rate (or fitness) of S. cerevisiae. Since the specific growth-rate effects of most genes are likely to be small, we employed competition experiments in chemostat culture to measure the proportion of deletion mutants relative to that of a standard strain by using a quantitative PCR method. In this paper, we show that both densitometry and GeneScan analysis can be used with similar accuracy and reproducibility to determine the proportions of (at least) two strains simultaneously, in the range 10-90% of the total cell population. Furthermore, we report on a model competition experiment between two diploid nuclear petite mutants, homozygous for deletions in the cox5a or pet191 genes, and the standard strain (ho::kanMX4/ho::kanMX4) in chemostat cultures under six different physiological conditions. The results indicate that competition experiments in continuous culture are a suitable method to distinguish quantitatively between deletion mutants that qualitatively exhibit the same phenotype.

Rifalazil is a novel rifamycin that, like other members of this class, inhibits bacterial transcription by targeting the b subunit of prokaryotic DNA-dependent RNA polymerase. To address the high-frequency resistance seen with rifamycins, we assessed the ability of rifalazil, alone and in combination with vancomycin, to both kill cells and to suppress the appearance of resistant mutants in log and stationary phase Staphylococcus aureus cultures, using high cell densities in an in vitro kill curve model. We found that 1) rifalazil alone killed log-phase cultures more rapidly than rifampicin, but both drugs quickly selected for resistant mutants, 2) co-treatment of log phase cultures with rifalazil and vancomycin increased bacterial killing by about 3-Log 10 over either drug used alone and delayed the appearance of rifamycin-resistant mutants, 3) rifalazil and vancomycin in combination killed stationary phase cultures by 3ϳ4 Log 10 by 48 hours.

The spoIVC locus of Bacillus subtilis was analysed. Fourteen spoIVC mutants isolated following nitrosoguanidine mutagenesis were used along with two previously characterized spoIVC mutants to construct a fine structure genetic map of the locus. The recombination index (RI) measured between extreme mutations was 0.26; no recombination could be detected between four of the mutations. Complementation analysis showed that all the mutations fall into two cistrons. The RI between extreme mutations in cistron A was about 0.17 and that between extreme mutations in cistron B was about 0.05. In respect of biochemical markers, the spoIVC mutations all produced similar phenotypes, irrespective of their location. However, in both cistrons oligosporogenous and asporogenous mutations mapped close together.