Raman spectral studies of nucleic acids. XI. Conformations of yeast tRNAPhe and E. coli ribosomal RNA in aqueous solution and in the solid state

Laser-excited Raman spectra of tRNA^Phe from yeast and of fractionated 16S and 23S rRNA from E. coli are reported for samples in aqueous solution and in the solid state. The Raman scattering spectrum of each RNA is not significantly altered by the change from an aqueous to a solid environment and displays the same characteristic frequencies and intensities associated with ordered polyribonucleotide structures. Unlike DNA, the backbone conformation of RNA thus appears to be largely insensitive to gross changes in the degree of hydration. Raman scattering from the phosphate group vibrations of aqueous tRNA_yeast^Phe is qualitatively and quantitatively the same as obtained from previously studied tRNA's and is indicative of a highly ordered conformational structure in which some 85% of the nucleotide residues are in ordered configurations. The major differences observed between spectra of tRNA and rRNA are attributed to differences in base composition of these RNA's.     

Characterization of Paenibacillus popilliae rRNA operons

The terminal 39 nucleotides on the 3' end of the 16S rRNA gene, along with the complete DNA sequences of the 5S rRNA, 23S rRNA, tRNA(Ile), and tRNA(Ala) genes were determined for Paenibacillus popilliae using strains NRRL B-2309 and Dutky 1. Southern hybridization analysis with a 16S rDNA hybridization probe and restriction-digested genomic DNA demonstrated 8 copies of the 16S rRNA gene in P. popilliae strains KLN 3 and Dutky 1. Additionally, the 23S rRNA gene in P. popilliae strains NRRL B-2309, KLN 3, and Dutky 1 was shown by I-CeuI digestion and pulsed-field gel electrophoresis of genomic DNA to occur as 8 copies. It was concluded that these 3 P. popilliae strains contained 8 rrn operons. The 8 operon copies were preferentially located on approximately one-half of the chromosome and were organized into 3 different patterns of genes, as follows: 16S-23S-5S, 16S-ala-23S-5S, and 16S-5S-ile-ala-23S-5S. This is the first report to identify a 5S rRNA gene between the 16S and 23S rRNA genes of a bacterial rrn operon. Comparative analysis of the nucleotides on the 3' end of the 16S rRNA gene suggests that translation of P. popilliae mRNA may occur in Bacillus subtilis and Escherichia coli.     

16S rRNA gene sequencing on a benchtop sequencer: accuracy for identification of clinically important bacteria

Aims

Test the choice of 16S rRNA gene amplicon and data analysis method on the accuracy of identification of clinically important bacteria utilizing a benchtop sequencer.

Methods and Results

Nine 16S rRNA amplicons were tested on an Ion Torrent PGM to identify 41 strains of clinical importance. The V1–V2 region identified 40 of 41 isolates to the species level. Three data analysis methods were tested, finding that the Ribosomal Database Project's SequenceMatch outperformed BLAST and the Ion Reporter Metagenomics analysis pipeline. Lastly, 16S rRNA gene sequencing mixtures of four species through a six log range of dilution showed species were identifiable even when present as 0·1% of the mixture.

Conclusions

Sequencing the V1–V2 16S rRNA gene region, made possible by the increased read length Ion Torrent PGM sequencer's 400 base pair chemistry, may be a better choice over other commonly used regions for identifying clinically important bacteria. In addition, the SequenceMatch algorithm, freely available from the Ribosomal Database Project, is a good choice for matching filtered reads to organisms. Lastly, 16S rRNA gene sequencing's sensitivity to the presence of a bacterial species at 0·1% of a mixture suggests it has sufficient sensitivity for samples in which important bacteria may be rare.

Significance and Impact of the Study

We have validated 16S rRNA gene sequencing on a benchtop sequencer including simple mixtures of organisms; however, our results highlight deficits for clinical application in place of current identification methods.     

Distinctive Mesorhizobium populations associated with Cicer arietinum L. in alkaline soils of Xinjiang, China

Background and aims

Rhizobia associated with chickpea in the main chickpea production zone of Xinjiang, China have never been investigated. Here, we present the first systematic investigation of these rhizobia’s genetic diversity and symbiotic interactions with their host plant.

Methods

Ninety-five isolates obtained from chickpea nodules in eight alkaline-saline (pH?8.24–8.45) sites in Xinjiang were characterized by nodulation test, symbiotic gene analysis, PCR-based restriction fragment length polymorphism (RFLP) of the 16S rRNA gene and 16S–23S rRNA intergenic spacer (IGS), BOX-PCR, phylogenies of 16S rRNA and housekeeping genes (atpD, recA and glnII), multilocus sequence analysis (MLSA) and DNA–DNA hybridization.

Results

All 95 isolates were identified within the genus of Mesorhizobium. Similarities less than 96.5% in MLSA and DNA–DNA hybridization values (<50%) between the new isolates and the defined Mesorhizobium species, and high similarities (>98%) of symbiotic genes (nodC and nifH) with those of the well studied chickpea microsymbioints Mesorhizobium ciceri and Mesorhizobium mediterraneum were found.

Conclusions

Chickpea rhizobia in alkaline-saline soils of Xinjiang, China, form a population distinct from the defined Mesorhizobium species. All these chickpea rhizobia in Xinjiang harbored symbiotic genes highly similar to the type strains of two well-studied chickpea rhizobia, M. ciceri and M. mediterraneum, evidencing the possible lateral transfer of symbiotic genes among these different rhizobial species. On the other hand, chickpea may strongly select rhizobia with a unique symbiotic gene background.     

SARNA-Predict: accuracy improvement of RNA secondary structure prediction using permutation-based simulated annealing

Ribonucleic acid (RNA), a single-stranded linear molecule, is essential to all biological systems. Different regions of the same RNA strand will fold together via base pair interactions to make intricate secondary and tertiary structures that guide crucial homeostatic processes in living organisms. Since the structure of RNA molecules is the key to their function, algorithms for the prediction of RNA structure are of great value. In this article, we demonstrate the usefulness of SARNA-Predict, an RNA secondary structure prediction algorithm based on Simulated Annealing (SA). A performance evaluation of SARNA-Predict in terms of prediction accuracy is made via comparison with eight state-of-the-art RNA prediction algorithms: mfold, Pseudoknot (pknotsRE), NUPACK, pknotsRG-mfe, Sfold, HotKnots, ILM, and STAR. These algorithms are from three different classes: heuristic, dynamic programming, and statistical sampling techniques. An evaluation for the performance of SARNA-Predict in terms of prediction accuracy was verified with native structures. Experiments on 33 individual known structures from eleven RNA classes (tRNA, viral RNA, antigenomic HDV, telomerase RNA, tmRNA, rRNA, RNaseP, 5S rRNA, Group I intron 23S rRNA, Group I intron 16S rRNA, and 16S rRNA) were performed. The results presented in this paper demonstrate that SARNA-Predict can out-perform other state-of-the-art algorithms in terms of prediction accuracy. Furthermore, there is substantial improvement of prediction accuracy by incorporating a more sophisticated thermodynamic model (efn2).     

RNA secondary structure prediction based on free energy and phylogenetic analysis.

We describe a computational method for the prediction of RNA secondary structure that uses a combination of free energy and comparative sequence analysis strategies. Using a homology-based sequence alignment as a starting point, all favorable pairings with respect to the Turner energy function are identified. Each potentially paired region within a multiple sequence alignment is scored using a function that combines both predicted free energy and sequence covariation with optimized weightings. High scoring regions are ranked and sequentially incorporated to define a growing secondary structure. Using a single set of optimized parameters, it is possible to accurately predict the foldings of several test RNAs defined previously by extensive phylogenetic and experimental data (including tRNA, 5 S rRNA, SRP RNA, tmRNA, and 16 S rRNA). The algorithm correctly predicts approximately 80% of the secondary structure. A range of parameters have been tested to define the minimal sequence information content required to accurately predict secondary structure and to assess the importance of individual terms in the prediction scheme. This analysis indicates that prediction accuracy most strongly depends upon covariational information and only weakly on the energetic terms. However, relatively few sequences prove sufficient to provide the covariational information required for an accurate prediction. Secondary structures can be accurately defined by alignments with as few as five sequences and predictions improve only moderately with the inclusion of additional sequences.     

Molecular cloning and comparative sequence analyses of rRNA operons in Streptomyces nodosus ATCC 14899.

The genome of Streptomyces nodosus contains six ribosomal RNA (rRNA) operons. Four of the rRNA operons; rrnB, rrnD, rrnE and rrnF were cloned. We have completely sequenced all four operons, including a region 750 base pairs (bp) upstream of the 16S rRNA gene. The three rRNA genes present in each operon were closely linked in the order 16S-23S-5S. A sequence comparison of the four operons showed more than 99% sequence similarity between the corresponding 16S and 23S rRNA genes, and more than 97% similarity between 5S rRNA genes. The sequence differences observed between 23S rRNA genes appeared to be localized in two specific regions. Substantial sequence differences were found in the region upstream of the 16S rRNA gene as well as in the internal transcribed spacers. No tRNA gene was found in the 16S-23S spacer regions.     

Functional defects in transfer RNAs lead to the accumulation of ribosomal RNA precursors

Normal expression and function of transfer RNA (tRNA) are of paramount importance for translation. In this study, we show that tRNA defects are also associated with increased levels of immature ribosomal RNA (rRNA). This association was first shown in detail for a mutant strain that underproduces tRNA(Arg2) in which unprocessed 16S and 23S rRNA levels were increased several-fold. Ribosome profiles indicated that unprocessed 23S rRNA in the mutant strain accumulates in ribosomal fractions that sediment with altered mobility. Underproduction of tRNA(Arg2) also resulted in growth defects under standard laboratory growth conditions. Interestingly, the growth and rRNA processing defects were attenuated when cells were grown in minimal medium or at low temperatures, indicating that the requirement for tRNA(Arg2) may be reduced under conditions of slower growth. Other tRNA defects were also studied, including a defect in RNase P, an enzyme involved in tRNA processing; a mutation in tRNA(Trp) that results in its degradation at elevated temperatures; and the titration of the tRNA that recognizes rare AGA codons. In all cases, the levels of unprocessed 16S and 23S rRNA were enhanced. Thus, a range of tRNA defects can indirectly influence translation via effects on the biogenesis of the translation apparatus.     

人工神经原网络处理PCR数据在细菌鉴定中的应用

目的16SrRNA和16S-23SrRNA间区片段是常用细菌分类鉴定靶点,本研究探讨人工神经原网络（ANN）对上述位点PCR扩增产物数据分析在细菌快速鉴定方面的价值。方法2对15SrRNA基因荧光引物和1对16S-23SrRNA区间基因引物用于扩增血液标本中分离出的317株细菌。相关毛细管电泳（CE）限制性片段长度多态性（RFLP）和单链构象多态性（SSCP）数据进行人工神经原网络分析。结果16S-23SrRNA基因的RFLP数据对未知菌鉴定的准确率高于16SrRNA基因的SSCP数据,分别为98．0％和79．6％。结论实验证明了人工神经原网络作为一种模式识别方法对于简化细菌鉴定十分有价值。     

Sequence of the gene for isoleucine tRNA1 and the surrounding region in a ribosomal RNA operon of Escherichia coli

A DNA fragment of about 2000 base pairs carrying the gene for tRNA(1) (Ile) has been cloned from a total Eco RI endonuclease digest of Escherichia coli DNA. Sequence analyses revealed that about the first 850 base pairs from one end of the fragment contain a nucleotide sequence corresponding to that in the 3'-end of 16S rRNA. The gene for tRNA(Ile) follows the 16S rRNA gene and both genes flank a spacer sequence of 68 base pairs. The spacer region contains a repeating, a hair pin and a symmetrical structure when the sequence is viewed in the single stranded form. A notable hair pin structure is also observed in the region adjacent to the 3'-end of the tRNA(1) (Ile) gene. In addition, about 850 base pairs from the other end of the DNA fragment have been found to contain the nucleotide sequence of the 5'-end of 23S rRNA. The presence of the genes for tRNA(1) (Ile), 16S and 23S rRNA and the hybridization to tRNA(1) (Ala) suggest that this cloned DNA is part of one of the E. coli rRNA operons carrying these two tRNA genes as a spacer.Images     

First complete nucleotide sequence and heterologous gene organization of the two rRNA operons in the phytoplasma genome

Phytoplasmas are cell-wallless Gram-positive low G + C bacteria belonging to the Mollicutes that inhabit the cytoplasm of plants and insects. Although phytoplasmas possess two ribosomal RNA (rrn) operons, only one has been fully sequenced. Here, we determined the complete nucleotide sequence of both rrn operons (designated rrnA and rrnB) of onion yellows (OY) phytoplasma. Both operons have rRNA genes organized as 5'-16S-23S-5S-3' with very highly conserved sequences; the 16S, 23S, and 5S rRNA genes are 99.9, 99.8, and 99.1% identical between the two operons. However, the organization of tRNA genes in the upstream region from 16S rRNA gene and in the downstream region from 5S rRNA gene differs markedly. Several promoter candidates were detected upstream from both operons, which suggests that both operons are functional. Interestingly, both have a tRNA(Ile) gene in the 16S-23S spacer region, while the reported rrnB operon of loofah witches' broom phytoplasma does not, indicating heterogenous gene organization of rrnB within phytoplasmas. The phytoplasma tRNA gene organization is similar to that of acholeplasmas, a closely related mollicute, and different from that of mycoplasmas, another mollicute. Moreover, the organization suggests that the rrn operons were derived from that of a related nonmollicute bacterium, Bacillus subtilis. This data should shed light on the evolutionary relationships and phylogeny of the mollicutes.     

The Comparative RNA Web (CRW) Site: an online database of comparative sequence and structure information for ribosomal, intron, and other RNAs

Background

Comparative analysis of RNA sequences is the basis for the detailed and accurate predictions of RNA structure and the determination of phylogenetic relationships for organisms that span the entire phylogenetic tree. Underlying these accomplishments are very large, well-organized, and processed collections of RNA sequences. This data, starting with the sequences organized into a database management system and aligned to reveal their higher-order structure, and patterns of conservation and variation for organisms that span the phylogenetic tree, has been collected and analyzed. This type of information can be fundamental for and have an influence on the study of phylogenetic relationships, RNA structure, and the melding of these two fields.

Results

We have prepared a large web site that disseminates our comparative sequence and structure models and data. The four major types of comparative information and systems available for the three ribosomal RNAs (5S, 16S, and 23S rRNA), transfer RNA (tRNA), and two of the catalytic intron RNAs (group I and group II) are: (1) Current Comparative Structure Models; (2) Nucleotide Frequency and Conservation Information; (3) Sequence and Structure Data; and (4) Data Access Systems.

Conclusions

This online RNA sequence and structure information, the result of extensive analysis, interpretation, data collection, and computer program and web development, is accessible at our Comparative RNA Web (CRW) Site http://www.rna.icmb.utexas.edu. In the future, more data and information will be added to these existing categories, new categories will be developed, and additional RNAs will be studied and presented at the CRW Site.     

Composite structure of the chloroplast 23 S ribosomal RNA genes of Chlamydomonas reinhardii: Evolutionary and functional implications

The chloroplast ribosomal unit of Chlamydomonas reinhardii displays two features which are not shared by other chloroplast ribosomal units. These include the presence of an intron in the 23 S ribosomal RNA gene and of two small genes coding for 3 S and 7 S rRNA in the spacer between the 16 S and 23 S rRNA genes (Rochaix & Malnoë, 1978). Sequencing of the 7 S and 3 S rRNAs as well as their genes and neighbouring regions has shown that: (1) the 7 S and 3 S rRNA genes are 282 and 47 base-pairs long, respectively, and are separated by a 23 base-pair A + T-rich spacer. (2) A sequence microheterogeneity exists within the 3 S RNA genes. (3) The sequences of the 7 S and 3 S rRNAs are homologous to the 5′ termini of prokaryotic and other chloroplast 23 S rRNAs, indicating that the C. reinhardii counterparts of 23 S rRNA have a composite structure. (4) The sequences of the 7 S and 3 S rRNAs are related to that of cytoplasmic 5.8 S rRNA, suggesting that these RNAs may perform similar functions in the ribosome. (5) Partial nucleotide sequence complementarity is observed between the 5′ ends of the 7 S and 3 S RNAs on one hand and the 23 S rRNA sequences which flank the ribosomal intron on the other. These data are compatible with the idea that these small rRNAs may play a role in the processing of the 23 S rRNA precursor.     

Structure and organization of Marchantia polymorpha chloroplast genome. IV. Inverted repeat and small single copy regions

We characterized the genes in the regions of large inverted repeats (IRA and IRB, 10,058 base-pairs each) and a small single copy (SSC 19,813 bp) of chloroplast DNA from Marchantia polymorpha. The inverted repeat (IR) regions contain genes for four ribosomal RNAs (16 S, 23 S, 4.5 S and 5 S rRNAs) and five transfer RNAs (valine tRNA(GAC), isoleucine tRNA(GAU), alanine tRNA(UGC), arginine tRNA(ACG) and asparagine tRNA(GUU)). The gene organization of the IR regions in the liverwort chloroplast genome is conserved, although the IR regions are smaller (10,058 base-pairs) than any reported in higher plant chloroplasts. The small single-copy region (19,813 base-pairs) encoded genes for 17 open reading frames, a leucine tRNA(UAG) and a proline tRNA(GGG)-like sequence. We identified 12 open reading frames by homology of their coding sequences to a 4Fe-4S-type ferredoxin protein, a bacterial nitrogenase reductase component (Fe-protein), five human mitochondrial components of NADH dehydrogenase (ND1, ND4, ND4L, ND5 and ND6), two Escherichia coli ribosomal proteins (S15 and L21), two putative proteins encoded in the kinetoplast maxicircle DNA of Leishmania tarentolae (LtORF 3 and LtORF 4), and a bacterial permease inner membrane component (encoded by malF in E. coli or hisQ in Salmonella typhimurium).