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Bacterial RNase P is composed of an RNA subunit and a single protein subunit (encoded by the rnpB and rnpA genes, respectively). We constructed Bacillus subtilis mutant strains that conditionally express the RNase P protein under control of the xylose promoter (P xyl ). In one strain (d7), rnpA expression was efficiently repressed in the absence of the inducer xylose, leading to cell growth arrest. Growth could be restored by a second functional rnpA allele. This is the first RNase P protein knockdown strain, providing the first direct proof that the rnpA gene is essential in B. subtilis and, by inference, in other bacteria. We further show (i) that, in the wild-type context, rnpA expression is attenuated by transcriptional polarity and (ii) that translation of rnpA mRNA in B. subtilis can be initiated at two alternative start codons. His-tagged RNase P protein variants are functional in vivo and permit purification of in vivo-assembled holoenzymes by affinity chromatography. Simultaneous expression of plasmid-encoded RNase P RNA and His-tagged protein increased RNase P holoenzyme yields. Massive overproduction of RNase P protein in strain d7 is compatible with cell viability.Present knowledge about the in vivo function of the bacterial RNase P protein (termed P protein) originates from studies of the Escherichia coli system with a mutant strain (NHY322 [rnpA49]) encoding a P protein with a single amino acid mutation, which results in temperature-sensitive bacterial growth due to decreased affinity of the protein for its RNA subunit (1,7,11,13). Although the rnpA49 mutant's phenotype has indicated that the P protein is essential in E. coli, one caveat is that complementation studies were performed under stress conditions at 43°C. The heat shock response has a global effect on gene expression (14,19), and induced metabolic changes could exacerbate the mutant phenotype. Moreover, the mutant P protein is still expressed in the rnpA49 mutant strain under nonpermissive conditions and may interfere with the function of the P protein expressed from a plasmid in complementation studies.Here we describe the construction and biological properties of Bacillus subtilis mutant strains with suppressible rnpA expression. In one type of mutant strain, termed d7, chromosomal rnpA expression could essentially be abolished, resulting in cell growth arrest. Expression of plasmid-borne rnpA genes encoding either the wild-type (WT) P protein or variants carrying an N-or C-terminal His tag was able to rescue the conditionally lethal phenotype. In contrast, an rnpA gene with internal stop codons was unable to restore growth under restrictive conditions. Our results demonstrate directly that the bacterial P protein is essential for cell viability. We further demonstrate the utility of the d7 strain for RNase P overproduction and affinity purification via His-tagged protein variants. Finally, we show that rnpA expression in B. subtilis is attenuated by transcriptional polarity and that translation of rnpA mRNA in B. subtilis can be initi...

RNA has gained increasing importance as a therapeutic target. However, so far mRNAs rather than stable cellular RNAs have been considered in such studies. In bacteria, the tRNA-processing enzyme RNase P has a catalytic RNA subunit. Fundamental differences in structure and function between bacterial and eukaryotic RNase P, and its indispensability for cell viability make the bacterial enzyme an attractive drug target candidate. Herein we describe two approaches utilized to evaluate whether the catalytic RNA subunit of bacterial RNase P is amenable to inactivation by antisense-based strategies. In the first approach, we rationally designed RNA hairpin oligonucleotides targeted at the tRNA 3'-CCA binding site (P15 loop region) of bacterial RNase P RNA by attempting to include principles derived from the natural CopA-CopT antisense system. Substantial inactivation of RNase P RNA was observed for Type A RNase P RNA (such as that in Escherichia coli) but not for Type B (as in Mycoplasma hyopneumoniae). Moreover, only an RNA oligonucleotide (Eco 3') complementary to the CCA binding site and its 3' flanking sequences was shown to be an efficient inhibitor. Mutation of Eco 3' and analysis of other natural RNase P RNAs with sequence deviations in the P15 loop region showed that inhibition is due to interaction of Eco 3' with this region and occurs in a highly sequence-specific manner. A DNA version of Eco 3' was a less potent inhibitor. The potential of Eco 3' to form an initial kissing complex with the P15 loop did not prove advantageous. In a second approach, we tested a set of oligonucleotides against E. coli RNase P RNA which were designed by algorithms developed for the selection of suitable mRNA targets. This approach identified the P10/11-J11/12 region of bacterial RNase P RNA as another accessible region. In conclusion, both the P15 loop and P10/11-J11/12 regions of Type A RNase P RNAs seem to be promising antisense target sites since they are easily accessible and sufficiently interspersed with nonhelical sequence elements, and oligonucleotide binding directly interferes with substrate docking to these two regions.

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Among the large number of possible antisense species against a given target RNA, only a small number shows effective suppression of the target gene in living cells. In the case of short-chain antisense oligonucleotides (asON) which usually comprise less than approximately 25 nucleotides, local structures of the target RNA seem to be of particular importance for the extent of gene suppression. Experimental approaches to identify promising local target sequences and, hence, complementary asON sequences, have provided tools to define asON that are biologically active at higher than statistical probability. However, experimental protocols are expensive, time consuming, and are associated with intrinsic basic and technical limitations. As insights into the structure-function relationship of asON as well as the role of sequence motifs increase, it becomes feasible to consider computer-based theoretical approaches for the design of effective asON. In the following we describe how individual steps of the theoretical design of asON may be automated by establishing and implementing suitable algorithms.