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Role of individual cysteine residues and disulfide bonds in the structure and function of Aspergillus ribonucleolytic toxin restrictocin.

Restrictocin, produced by the fungus Aspergillus restrictus, belongs to the group of ribonucleolytic toxins called ribotoxins. It specifically cleaves a single phosphodiester bond in a conserved stem and loop structure in the 28S rRNA of large ribosomal subunit and potently inhibits eukaryotic protein synthesis. Restrictocin contains 149 amino acid residues and includes four cysteines at positions 5, 75, 131, and 147. These cysteine residues are involved in the formation of two disulfide bonds, one between Cys 5 and Cys 147 and another between Cys 75 and Cys 131. In the current study, all four cysteine residues were changed to alanine individually and in different combinations by site-directed mutagenesis so as to remove one or both the disulfides. The mutants were expressed and purified from Escherichia coli. Removal of any cysteine or any one of the disulfide bonds individually did not affect the ability of the toxin to specifically cleave the 28S rRNA or to inhibit protein synthesis in vitro. However, the toxin without both disulfide bonds completely lost both ribonucleolytic and protein synthesis inhibition activities. The active mutants, containing only one disulfide bond, exhibited relatively high susceptibility to trypsin digestion. Thus, none of the four cysteine residues is directly involved in restrictocin catalysis; however, the presence of any one of the two disulfide bonds is absolutely essential and sufficient to maintain the enzymatically active conformation of restrictocin. For maintenance of the unique stability displayed by the native toxin, both disulfide bonds are required.

Allergens↗

Photolabile oligoDNA probes of internal Escherichia coli ribosomal structure.

We are examining the spatial arrangement of ribosomal components in the vicinity of rRNA sequences of particular significance for ribosome structure and function through the use of radioactive, photolabile derivatives of oligoDNAs complementary to such sequences. The oligoDNA probes bind to their target sequences in intact ribosomal subunits, and, on photolysis, incorporate into neighboring ribosomal components. Labeled ribosomal proteins are subsequently identified by SDS-PAGE, RP-HPLC and immunoprecipitation. Labeled rRNA is identified at the nucleotide level by RNase H cleavage and primer extension. The results obtained provide a description of the neighborhood surrounding a particular rRNA sequence and impose important constraints on the evolving three-dimensional models of both the 30S and 50S subunits, since they typically oblige several ribosomal components to fall within defined distances of the targeted rRNA. Our results will be discussed in terms of these models, emphasizing their consistency or inconsistency.

Base Sequence↗

Functional noncoding sequences derived from SINEs in the mammalian genome.

Recent comparative analyses of mammalian sequences have revealed that a large number of nonprotein-coding genomic regions are under strong selective constraint. Here, we report that some of these loci have been derived from a newly defined family of ancient SINEs (short interspersed repetitive elements). This is a surprising result, as SINEs and other transposable elements are commonly thought to be genomic parasites. We named the ancient SINE family AmnSINE1, for Amniota SINE1, because we found it to be present in mammals as well as in birds, and some copies predate the mammalian-bird split 310 million years ago (Mya). AmnSINE1 has a chimeric structure of a 5S rRNA and a tRNA-derived SINE, and is related to five tRNA-derived SINE families that we characterized here in the coelacanth, dogfish shark, hagfish, and amphioxus genomes. All of the newly described SINE families have a common central domain that is also shared by zebrafish SINE3, and we collectively name them the DeuSINE (Deuterostomia SINE) superfamily. Notably, of the approximately 1000 still identifiable copies of AmnSINE1 in the human genome, 105 correspond to loci phylogenetically highly conserved among mammalian orthologs. The conservation is strongest over the central domain. Thus, AmnSINE1 appears to be the best example of a transposable element of which a significant fraction of the copies have acquired genomic functionality.

Algorithms↗

Ribosomal RNA secondary structure: compensatory mutations and implications for phylogenetic analysis.

Using sequence data from the 28S ribosomal RNA (rRNA) genes of selected vertebrates, we investigated the effects that constraints imposed by secondary structure have on the phylogenetic analysis of rRNA sequence data. Our analysis indicates that characters from both base-pairing regions (stems) and non-base-pairing regions (loops) contain phylogenetic information, as judged by the level of support of the phylogenetic results compared with a well-established tree based on both morphological and molecular data. The best results (the greatest level of support of well-accepted nodes) were obtained when the complete data set was used. However, some previously supported nodes were resolved using either the stem or loop bases alone. Stem bases sustain a greater number of compensatory mutations than would be expected at random, but the number is < 40% of that expected under a hypothesis of perfect compensation to maintain secondary structure. Therefore, we suggest that in phylogenetic analyses, the weighting of stem characters be reduced by no more than 20%, relative to that of loop characters. In contrast to previous suggestions, we do not recommend weighting of stem positions by one-half, compared with that of loop positions, because this overcompensates for the constraints that selection imposes on the secondary structure of rRNA.

Animal Population Groups↗

[The Thermus thermophilus 5S rRNA-protein complex: Identifications of specific binding sites for proteins L5 and L18 in 5S rRNA].

Three 5S rRNA-binding ribosomal proteins (L5, L18, TL5) of extremely thermophilic bacterium Thermus thermophilus have earlier been isolated. Structural analysis of their complexes with rRNA requires identification of their binding sites in the 5S rRNA. Previously, a TL5-binding site has been identified, a TL5-RNA complex crystallized, and its structure determined to 2.3 A. The sites for L5 and L18 were characterized, and two corresponding 5S rRNA fragments constructed. Of these, a 34-nt fragment specifically interacted with L5, and a 55-nt fragment interacted with L5, L18, and with both proteins. The 34-nt fragment-L5 complex was crystallized; the crystals are suitable for high-resolution X-ray analysis.

Binding Sites↗

7 S RNA: a single site substrate for the RNA processing enzyme ribonuclease E of Escherichia coli.

7 S RNA accumulates at non-permissive temperatures in an RNAase E strain containing the recombinant plasmid pJR3 delta which carries a single 5 S rRNA gene and expression sequences. 7 S RNA is a processing intermediate that contains the complete sequence of 5 S rRNA as well as a stem-and-loop structure encoded by the terminator of rrnD. 7 S RNA can be processed in vitro by RNAase E. Structural analysis of the products (5 S rRNA and the stem) of in vitro processing of 7 S RNA revealed that the cleavage site of RNAase E in 7 S RNA is 3 nucleotides downstream from the 3' end of the mature 5 S rRNA. The cleavage generates 3'-hydroxyl and 5'-phosphate termini.

Base Sequence↗

Phylogenetic and molecular characterization of a 23S rRNA gene positions the genus Campylobacter in the epsilon subdivision of the Proteobacteria and shows that the presence of transcribed spacers is common in Campylobacter spp.

The nucleotide sequence of a 23S rRNA gene of Campylobacter coli VC167 was determined. The primary sequence of the C. coli 23S rRNA was deduced, and a secondary-structure model was constructed. Comparison with Escherichia coli 23S rRNA showed a major difference in the C. coli rRNA at approximately position 1170 (E. coli numbering) in the form of an extra sequence block approximately 147 bp long. PCR analysis of 31 other strains of C. coli and C. jejuni showed that 69% carried a transcribed spacer of either ca. 147 or ca. 37 bp. Comparison of all sequenced Campylobacter transcribed spacers showed that the Campylobacter inserts were related in sequence and percent G+C content. All Campylobacter strains carrying transcribed spacers in their 23S rRNA genes produced fragmented 23S rRNAs. Other strains which produced unfragmented 23S rRNAs did not appear to carry transcribed spacers at this position in their 23S rRNA genes. At the 1850 region (E. coli numbering), Campylobacter 23S rRNA displayed a base pairing signature most like that of the beta and gamma subdivisions of the class Proteobacteria, but in the 270 region, Campylobacter 23S rRNA displayed a helix signature which distinguished it from the alpha, beta, and gamma subdivisions. Phylogenetic analysis comparing C. coli VC167 23S rRNA and a C. jejuni TGH9011 (ATCC 43431) 23S rRNA with 53 other completely sequenced (eu)bacterial 23S rRNAs showed that the two campylobacters form a sister group to the alpha, beta, and gamma proteobacterial 23S rRNAs, a positioning consistent with the idea that the genus Campylobacter belongs to the epsilon subdivision of the class Proteobacteria.

Bacteria↗

Characterization of the 16S rRNA- and membrane-binding domains of Streptococcus pneumoniae Era GTPase: structural and functional implications.

Era is a highly conserved GTPase essential for bacterial growth. The N-terminal part of Era contains a conserved GTPase domain, whereas the C-terminal part of the protein contains an RNA- and membrane-binding domain, the KH domain. To investigate whether the binding of Era to 16S rRNA and membrane requires its GTPase activity and whether the GTPase domain is essential for these activities, the N- and C-terminal parts of the Streptococcus pneumoniae Era - Era-N (amino acids 1-185) and Era-C (amino acids 141-299), respectively - were expressed and purified. Era-C, which had completely lost GTPase activity, bound to the cytoplasmic membrane and 16S rRNA. In contrast, Era-N, which retained GTPase activity, failed to bind to RNA or membrane. These results therefore indicate that the binding of Era to RNA and membrane does not require the GTPase activity of the protein and that the RNA-binding domain is an independent, functional domain. The physiological effects of the overexpression of Era-C were assessed. The Escherichia coli cells overexpressing Era and Era-N exhibited the same growth rate as wild-type E. coli cells. In contrast, the E. coli cells overexpressing Era-C exhibited a reduced growth rate, indicating that the overexpression of Era-C inhibits cell growth. Furthermore, overexpression of era-N and era-C resulted in morphological changes. Finally, purified Era and Era-C were able to bind to poly(U) RNA, and the binding of Era to poly(U) RNA was significantly inhibited by liposome, as the amount of Era bound to the RNA decreased proportionally with the increase of liposome in the assay. Therefore, this study provides the first biochemical evidence that both binding sites are overlapping. Together, these results indicate that the RNA- and membrane-binding domain of Era is a separate, functional entity and does not require the GTPase activity or the GTPase domain of the protein for activity.

Binding Sites↗

Nucleotide sequence of the rrnB 16S ribosomal RNA gene from Mycoplasma capricolum.

The nucleotide sequences of the rrnB 16S ribosomal RNA gene and its 5'-and 3'-flanking regions from Mycoplasma capricolum have been determined. The coding sequence is 1521 base pairs long, being 21 base pairs shorter than that of the Escherichia coli 16S rRNA gene. The 16S rRNA sequence of M. capricolum reveals 74% and 76% identify with that of E. coli and Anacystis nidulans, respectively. The secondary structure model constructed from the M. capricolum 16S rRNA gene sequence resembles that proposed for E. coli 16S rRNA. A large stem structure can be constructed between the 5'- and 3'-flanking sequences of the 16S rRNA gene. The flanking regions are extremely rich in AT.

Base Sequence↗

Proteomic analysis of the mammalian mitochondrial ribosome. Identification of protein components in the 28 S small subunit.

The mammalian mitochondrial ribosome (mitoribosome) has a highly protein-rich composition with a small sedimentation coefficient of 55 S, consisting of 39 S large and 28 S small subunits. In the previous study, we analyzed 39 S large subunit proteins from bovine mitoribosome (Suzuki, T., Terasaki, M., Takemoto-Hori, C., Hanada, T., Ueda, T., Wada, A., and Watanabe, K. (2001) J. Biol. Chem. 276, 21724-21736). The results suggested structural compensation for the rRNA deficit through proteins of increased molecular mass in the mitoribosome. We report here the identification of 28 S small subunit proteins. Each protein was separated by radical-free high-reducing two-dimensional polyacrylamide gel electrophoresis and analyzed by liquid chromatography/mass spectrometry/mass spectrometry using electrospray ionization/ion trap mass spectrometer to identify cDNA sequence by expressed sequence tag data base searches in silico. Twenty one proteins from the small subunit were identified, including 11 new proteins along with their complete cDNA sequences from human and mouse. In addition to these proteins, three new proteins were also identified in the 55 S mitoribosome. We have clearly identified a mitochondrial homologue of S12, which is a key regulatory protein of translation fidelity and a candidate for the autosomal dominant deafness gene, DFNA4. The apoptosis-related protein DAP3 was found to be a component of the small subunit, indicating a new function for the mitoribosome in programmed cell death. In summary, we have mapped a total of 55 proteins from the 55 S mitoribosome on the two-dimensional polyacrylamide gels.

Amino Acid Sequence↗

Detailed analysis of RNA-protein interactions within the ribosomal protein S8-rRNA complex from the archaeon Methanococcus jannaschii.

The crystal structure of ribosomal protein S8 bound to its target 16 S rRNA from a hyperthermophilic archaeon Methanococcus jannaschii has been determined at 2.6 A resolution. The protein interacts with the minor groove of helix H21 at two sites located one helical turn apart, with S8 forming a bridge over the RNA major groove. The specificity of binding is essentially provided by the C-terminal domain of S8 and the highly conserved nucleotide core, characterized by two dinucleotide platforms, facing each other. The first platform (A595-A596), which is the less phylogenetically and structurally constrained, does not directly contact the protein but has an important shaping role in inducing cross-strand stacking interactions. The second platform (U641-A642) is specifically recognized by the protein. The universally conserved A642 plays a pivotal role by ensuring the cohesion of the complex organization of the core through an array of hydrogen bonds, including the G597-C643-U641 base triple. In addition, A642 provides the unique base-specific interaction with the conserved Ser105, while the Thr106 - Thr107 peptide link is stacked on its purine ring. Noteworthy, the specific recognition of this tripeptide (Thr-Ser-Thr/Ser) is parallel to the recognition of an RNA tetraloop by a dinucleotide platform in the P4-P6 ribozyme domain of group I intron. This suggests a general dual role of dinucleotide platforms in recognition of RNA or peptide motifs. One prominent feature is that conserved side-chain amino acids, as well as conserved bases, are essentially involved in maintaining tertiary folds. The specificity of binding is mainly driven by shape complementarity, which is increased by the hydrophobic part of side-chains. The remarkable similarity of this complex with its homologue in the T. thermophilus 30 S subunit indicates a conserved interaction mode between Archaea and Bacteria.

Amino Acid Sequence↗

DNA structural variation affects complex formation and promoter melting in ribosomal RNA transcription.

Eukaryotic ribosomal RNA promoters exhibit an unusual conservation of non-canonical DNA structure (curvature, twist angle and duplex stability) despite a lack of primary sequence conservation. This raises the possibility that rRNA transcription factors might utilize structural anomalies in their sequence recognition process. We have analyzed in detail the interaction of the polymerase I transcription factor TIF-IB from Acanthmoeba castellanii with the CORE promoter. TIF-IB interacts primarily with the minor groove of the promoter. By correlating the effects on transcription and on DNA structure of promoter point mutations, we show that the TIF-IB interaction is strongly inhibited by increases in minor groove width. This suggests that a particular DNA structure is required for interaction with the transcription factor. In addition, TIF-IB induces a small bend in the promoter upon binding. Modeling of this bend reveals that it requires an additional narrowing of the minor groove, which would favor binding to mutants with narrower grooves. We also discuss how this narrowing would induce a small destabilization of the helix upstream of the transcription start site. Telestability predicts this would result in destabilization of the sequence that melts during initiation, suggesting that TIF-IB may have a role in stimulating melting.

Acanthamoeba↗

[Region of intermolecular complementarity in Escherichia coli 16S rRNA, mRNA, and tRNA molecules].

The results of computer analysis of complementarity regions in the sequences of E. coli 16S rRNA, mRNAs and tRNAs are reported in this article. The potential regions of intermolecular RNA-RNA hybridization, or clinger fragments, in 16S rRNA, which are complementary to the sites frequently occurring in mRNAs and tRNAs, were found. Major clinger fragments on 16S rRNA are universal for genes that belong to different functional groups. Our results show there are adaptations of the structural organization of the 16S rRNA molecule to messenger and transport RNA sequences. RNA interaction with clinger fragments may contribute to upregulation of translation process through increasing the local concentration of mRNAs and tRNAs in the vicinity of the ribosome and their proper positioning, as well as decrease the efficiency of translation through non-specific mRNA-16SrRNA interactions.

Escherichia coli↗

The role of LRP and H-NS in transcription regulation: involvement of synergism, allostery and macromolecular crowding.

LRP has recently been shown to interact with the regulatory regions of bacterial ribosomal RNA promoters. Here we study details of the LRP-rDNA interaction by gel retardation and high-resolution footprinting techniques. We show that a second regulator for rRNA transcription, H-NS, facilitates the formation of a higher-order LRP-nucleoprotein complex, probably acting transiently as a DNA chaperone. The macromolecular crowding substance ectoine stabilizes the formation of this dynamic complex, while the amino acid leucine, as a metabolic effector, has the opposite effect. DNase I and hydroxyl radical footprint experiments with LRP-DNA complexes reveal a periodic change of the target DNA structure, which implies extensive DNA wrapping reaching into the promoter core region. We show furthermore that LRP binding is able to constrain supercoils, providing a link between DNA topology and regulation. The results support the conclusion that the bacterial DNA-binding protein LRP, assisted by H-NS, forms a repressive nucleoprotein structure involved in regulation of rRNA transcription. The formation of this regulatory structure appears to be directly affected by environmental changes.

Allosteric Regulation↗

Diversity and dynamics of microbial communities in soils from agro-ecosystems.

Soil microbial communities are integrally involved in biogeochemical cycles and their activities are crucial to the productivity of terrestrial ecosystems. Despite the importance of soil microorganisms, little is known about the distribution of microorganisms in the soil or the manner in which microbial community structure responds to changes in land management. We investigated the structure of microbial communities in the soil over two years in a series of replicated plots, that included, cultivated fields, fields abandoned from cultivation and fields with no history of cultivation. Microbial community structure was examined by monitoring the relative abundance of ribosomal RNA (rRNA) from seven of the most common bacterial groups in soil (the Alpha and Beta Proteobacteria, Actinobacteria, Cytophagales, Planctomycetes, Verrucomicrobia and the Acidobacteria) and the Eukarya. These data reveal that soil microbial communities are dynamic, capable of significant change at temporal scales relative to seasonal events. However, despite temporal change in microbial community structure, the rRNA relative abundance of particular microbial groups is affected by the local environment such that recognizable patterns of community structure exist in relation to field management.

Agriculture↗

Primary and secondary structure of rat 28 S ribosomal RNA.

The primary structure of rat (Rattus norvegicus) 28 S rRNA is determined inferred from the sequence of cloned rDNA fragments. The rat 28 S rRNA contains 4802 nucleotides and has an estimated relative molecular mass (Mr, Na-salt) of 1.66 X 10(6). Several regions of high sequence homology with S. cerevisiae 25 S rRNA are present. These regions can be folded in characteristic base-paired structures homologous to those proposed for Saccharomyces and E. coli. The excess of about 1400 nucleotides in the rat 28 S rRNA (as compared to Saccharomyces 25 S rRNA) is accounted for mainly by the presence of eight distinct G+C-rich segments of different length inserted within the regions of high sequence homology. The G+C content of the four insertions, containing more than 200 nucleotides, is in the range of 78 to 85 percent. All G+C-rich segments appear to form strongly base-paired structures. The two largest G+C-rich segments (about 760 and 560 nucleotides, respectively) are located near the 5'-end and in the middle of the 28 S rRNA molecule. These two segments can be folded into long base-paired structures, corresponding to the ones observed previously by electron microscopy of partly denatured 28 S rRNA molecules.

Animals↗

Structure of a Mycobacterium tuberculosis NusA-RNA complex.

NusA is a key regulator of bacterial transcriptional elongation, pausing, termination and antitermination, yet relatively little is known about the molecular basis of its activity in these fundamental processes. In Mycobacterium tuberculosis, NusA has been shown to bind with high affinity and specificity to BoxB-BoxA-BoxC antitermination sequences within the leader region of the single ribosomal RNA (rRNA) operon. We have determined high-resolution X-ray structures of a complex of NusA with two short oligo-ribonucleotides derived from the BoxC stem-loop motif and have characterised the interaction of NusA with a variety of RNAs derived from the antitermination region. These structures reveal the RNA bound in an extended conformation to a large interacting surface on both KH domains. Combining structural data with observed spectral and calorimetric changes, we now show that NusA binding destabilises secondary structure within rRNA antitermination sequences and propose a model where NusA functions as a chaperone for nascently forming RNA structures.

Amino Acid Sequence↗

Automatic RNA secondary structure determination with stochastic context-free grammars.

We have developed a method for predicting the common secondary structure of large RNA multiple alignments using only the information in the alignment. It uses a series of progressively more sensitive searches of the data in an iterative manner to discover regions of base pairing; the first pass examines the entire multiple alignment. The searching uses two methods to find base pairings. Mutual information is used to measure covariation between pairs of columns in the multiple alignment and a minimum length encoding method is used to detect column pairs with high potential to base pair. Dynamic programming is used to recover the optimal tree made up of the best potential base pairs and to create a stochastic context-free grammar. The information in the tree guides the next iteration of searching. The method is similar to the traditional comparative sequence analysis technique. The method correctly identifies most of the common secondary structure in 16S and 23S rRNA.

Algorithms↗