Database on the structure of large subunit ribosomal RNA.

The Antwerp database on large subunit ribosomal RNA now contains 607 complete or nearly complete aligned sequences. The alignment incorporates secondary structure information for each sequence. Other information about the sequences, such as literature references, accession numbers and taxonomic information is also available. Information from the database can be downloaded or searched on the rRNA WWW Server at URL http://rrna.uia.ac.be/     

The European large subunit ribosomal RNA database

The European Large Subunit (LSU) Ribosomal RNA (rRNA) database is accessible via the rRNA WWW Server at URL http://rrna.uia.ac.be/lsu/. It is a curated database that compiles complete or nearly complete LSU rRNA sequences in aligned form, and also incorporates secondary structure information for each sequence. Taxonomic information, literature references and other information about the sequences are also available, and can be searched via the WWW interface.     

The European Large Subunit Ribosomal RNA Database

The European Large Subunit Ribosomal RNA Database compiles all complete or nearly complete large subunit ribosomal RNA sequences available from public sequence databases. These are provided in aligned format and the secondary structure, as derived by comparative sequence analysis, is included. Additional information about the sequences such as literature references and taxonomic information is also included. The database is available from our WWW server at http://rrna.uia.ac.be/lsu/.     

Database on the structure of small ribosomal subunit RNA.

The Antwerp database on small ribosomal subunit RNA now offers more than 6000 nucleotide sequences (August 1996). All these sequences are stored in the form of an alignment based on the adopted secondary structure model, which is corroborated by the observation of compensating substitutions in the alignment. Besides the primary and secondary structure information, literature references, accession numbers and detailed taxonomic information are also compiled. For ease of use, the complete database is made available to the scientific community via World Wide Web at URL http://rrna.uia.ac.be/ssu/ .     

Database on the structure of small ribosomal subunit RNA.

About 8600 complete or nearly complete sequences are now available from the Antwerp database on small ribosomal subunit RNA. All these sequences are aligned with one another on the basis of the adopted secondary structure model, which is corroborated by the observation of compensating substitutions in the alignment. Literature references, accession numbers and detailed taxonomic information are also compiled. The database can be consulted via the World Wide Web at URL http://rrna.uia.ac.be/ssu/     

Database on the structure of small subunit ribosomal RNA.

Over 11 500 complete or nearly complete sequences are now available from the Antwerp database on small subunit ribosomal RNA. All these sequences are aligned with one another on the basis of the adopted secondary structure model, which is corroborated by the observation of compensating substitutions in the alignment. Literature references, accession numbers and taxonomic information are also compiled. The database can be consulted via the World Wide Web at URL http://rrna.uia.ac.be/ssu/     

Database on the structure of small ribosomal subunit RNA.

The Antwerp database on small ribosomal subunit RNA offers over 4300 nucleotide sequences (August 1995). All these sequences are stored in the form of an alignment based on the adopted secondary structure model, which in turn is corroborated by the observation of compensating substitutions in the alignment. Besides the primary and secondary structure information, literature references, accession numbers and detailed taxonomic information are also compiled. The complete database is made available to the scientific community through anonymous ftp and World Wide Web(WWW).     

Automatic detection of conserved RNA structure elements in complete RNA virus genomes.

We propose a new method for detecting conserved RNA secondary structures in a family of related RNA sequences. Our method is based on a combination of thermodynamic structure prediction and phylogenetic comparison. In contrast to purely phylogenetic methods, our algorithm can be used for small data sets of approximately 10 sequences, efficiently exploiting the information contained in the sequence variability. The procedure constructs a prediction only for those parts of sequences that are consistent with a single conserved structure. Our implementation produces reasonable consensus structures without user interference. As an example we have analysed the complete HIV-1 and hepatitis C virus (HCV) genomes as well as the small segment of hantavirus. Our method confirms the known structures in HIV-1 and predicts previously unknown conserved RNA secondary structures in HCV.     

Database on the structure of large ribosomal subunit RNA.

The rRNA WWW Server at URL http://rrna.uia.ac.be/ now provides a database of 496 large subunit ribosomal RNA sequences. All these sequences are aligned, incorporate secondary structure information, and can be obtained in a number of formats. Other information about the sequences, such as literature references, accession numbers and taxonomic information is also available and searchable. If necessary, the data on the server can also be obtained by anonymous ftp.     

Database on the structure of large ribosomal subunit RNA.

Our database on large ribosomal subunit RNA contained 334 sequences in July, 1995. All sequences in the database are aligned, taking into account secondary structure. The aligned sequences are provided, together with incorporated secondary structure information, in several computer-readable formats. These data can easily be obtained through the World Wide Web. The files in the database are also available via anonymous ftp.     

球形棕囊藻(Phaeocystis globosa)叶绿体psaA基因片段的序列分析

根据GenBank中检索到的南极棕囊藻(Phaeocystis globosa)psaA基因序列设计psaAL和psaAR引物,对球形棕囊藻(Phaeocystis globosa),的psaA基因片段进行PCR扩增并测序,获得了629bp的DNA序列。应用clustal X对球形棕囊藻P1、P2株系和南极棕囊藻的psaA基因片段序列进行比对,结果表明,球形棕囊藻psaA基因片段序列无插入／缺失,核苷酸差异率为3.34％。应用DNAstar分析软件推断球形棕囊藻和南极棕囊藻的psaA基因对应的氨基酸序列和RNA二级结构,发现它们的氨基酸序列差异不大,序列中209个氨基酸只有1个发生了变化,其氨基酸变异率为0．48％;除部分结构域比较相似外,RNA二级结构上体现一定程度的差异,这可能对棕囊藻的分子分类研究有参考价值。因所获得的psaA基因片段序列及氨基酸序列具有种的极端保守性,不适宜用作Phaeocystis属种间的分子分类研究。     

RNA sequence analysis using covariance models.

We describe a general approach to several RNA sequence analysis problems using probabilistic models that flexibly describe the secondary structure and primary sequence consensus of an RNA sequence family. We call these models 'covariance models'. A covariance model of tRNA sequences is an extremely sensitive and discriminative tool for searching for additional tRNAs and tRNA-related sequences in sequence databases. A model can be built automatically from an existing sequence alignment. We also describe an algorithm for learning a model and hence a consensus secondary structure from initially unaligned example sequences and no prior structural information. Models trained on unaligned tRNA examples correctly predict tRNA secondary structure and produce high-quality multiple alignments. The approach may be applied to any family of small RNA sequences.     

Secondary structure analysis of the dissimilatory sulphite reductase in Desulfovibrio desulfuricans

The complete sequences of the dsrA and dsrB genes coding for the alpha- and beta-subunits, respectively, of the sulphite reductase enzyme in Desulfovibrio desulfuricans were determined. Analyses of the amino acid sequences indicated a number of serohaem/Fe4S4 binding consensus sequences whilst predictive secondary structure analysis revealed a similar pattern of alpha-helix and beta-strand structures between the two subunits which was indicative of gene duplication.     

Comparative analysis of secondary structure of insect mitochondrial small subunit ribosomal RNA using maximum weighted matching

Comparative analysis is the preferred method of inferring RNA secondary structure, but its use requires considerable expertise and manual effort. As the importance of secondary structure for accurate sequence alignment and phylogenetic analysis becomes increasingly realised, the need for secondary structure models for diverse taxonomic groups becomes more pressing. The number of available structures bears little relation to the relative diversity or importance of the different taxonomic groups. Insects, for example, comprise the largest group of animals and yet are very poorly represented in secondary structure databases. This paper explores the utility of maximum weighted matching (MWM) to help automate the process of comparative analysis by inferring secondary structure for insect mitochondrial small subunit (12S) rRNA sequences. By combining information on correlated changes in substitutions and helix dot plots, MWM can rapidly generate plausible models of secondary structure. These models can be further refined using standard comparative techniques. This paper presents a secondary structure model for insect 12S rRNA based on an alignment of 225 insect sequences and an alignment for 16 exemplar insect sequences. This alignment is used as a template for a web server that automatically generates secondary structures for insect sequences.     

S curve, a graphic representation of protein secondary structure sequence and its applications

A secondary structure sequence is a symbolic string composed of three kinds of letters, indicating the helix, strand, and coil (including turns), respectively. A graphic representation for this abstract symbolic sequence is proposed here, called the S curve. The S curve is the unique representation for a given secondary structure sequence in the sense that the sequence and the S curve can be uniquely determined from the other. Therefore, the S curve contains all the information that the secondary structure sequence contains. Different geometrical properties of the S curve are studied in details, which reflect the basic characteristics of the secondary structure sequences. The S curves are used to display, analyze, and compare the secondary structure sequences. Detailed application examples are presented. One advantage of the S curve methodology is that the main patterns of a given secondary structure sequence can be grasped quickly in a perceivable form. This is particularly useful in the cases in which longer sequences are involved and structures of proteins are unknown.     

ITS2, 18S, 16S or any other RNA — simply aligning sequences and their individual secondary structures simultaneously by an automatic approach

Secondary structures of RNA sequences are increasingly being used as additional information in reconstructing phylogenies and/or in distinguishing species by compensatory base change (CBC) analyses. However, in most cases just one secondary structure is used in manually correcting an automatically generated multiple sequence alignment and/or just one secondary structure is used in guiding a sequence alignment still completely generated by hand. With the advent of databases and tools offering individual RNA secondary structures, here we re-introduce a twelve letter code already implemented in 4SALE – a tool for synchronous sequence and secondary structure alignment and editing – that enables one to align RNA sequences and their individual secondary structures synchronously and fully automatic, while dramatically increasing the phylogenetic information content. We further introduce a scaled down non-GUI version of 4SALE particularly designed for big data analysis, and available at: http://4sale.bioapps.biozentrum.uni-wuerzburg.de.     

Informative characteristics of 12 divergent domains in complete large subunit rDNA sequences from the harmful dinoflagellate genus, Alexandrium (Dinophyceae)

The genus Alexandrium includes organisms of interest, both for the study of dinoflagellate evolution and for their impacts as toxic algae affecting human health and fisheries. Only partial large subunit (LSU) rDNA sequences of Alexandrium and other dinoflagellates are available, although they contain much genetic information. Here, we report complete LSU rDNA sequences from 11 strains of Alexandrium, including Alexandrium affine, Alexandrium catenella, Alexandrium fundyense, Alexandrium minutum, and Alexandrium tamarense, and discuss their segmented domains and structure. Putative LSU rRNA coding regions were recorded to be around 3,400 bp long. Their GC content (about 43.7%) is among the lowest when compared with other organisms. Furthermore, no AT-rich regions were found in Alexandrium LSU rDNA, although a low GC content was recorded within the LSU rDNA. No intron-like sequences were found. The secondary structure of the LSU rDNA and parsimony analyses showed that most variation in LSU rDNA is found in the divergent (D) domains with the D2 region being the most informative. This high D domain variability can allow members of the diverse Alexandrium genus to be categorized at the species level. In addition, phylogenetic analysis of the alveolate group using the complete LSU sequences strongly supported previous findings that the dinoflagellates and apicomplexans form a clade.     

A set of nearest neighbor parameters for predicting the enthalpy change of RNA secondary structure formation

A complete set of nearest neighbor parameters to predict the enthalpy change of RNA secondary structure formation was derived. These parameters can be used with available free energy nearest neighbor parameters to extend the secondary structure prediction of RNA sequences to temperatures other than 37°C. The parameters were tested by predicting the secondary structures of sequences with known secondary structure that are from organisms with known optimal growth temperatures. Compared with the previous set of enthalpy nearest neighbor parameters, the sensitivity of base pair prediction improved from 65.2 to 68.9% at optimal growth temperatures ranging from 10 to 60°C. Base pair probabilities were predicted with a partition function and the positive predictive value of structure prediction is 90.4% when considering the base pairs in the lowest free energy structure with pairing probability of 0.99 or above. Moreover, a strong correlation is found between the predicted melting temperatures of RNA sequences and the optimal growth temperatures of the host organism. This indicates that organisms that live at higher temperatures have evolved RNA sequences with higher melting temperatures.     

番石榴实蝇和瓜实蝇的线粒体L-rRNA基因测序及双翅目昆虫L-rRNA基因的结构特征与系统发育关系分析

RNA二级结构比一级结构包含更多的信息, 在物种系统发育分析中更能反应真实情况。因而, 本研究对番石榴实蝇Bactrocera correcta和瓜实蝇B. cucurbitae的L-rRNA全基因进行了测序, 构建了双翅目L-rRNA基因二级结构的模式图, 并分析了其结构特征, 而后基于H45~H47茎环结构参数和结构序列及L-rRNA结构序列对双翅目13科的系统发育关系进行了初步分析。结果表明： 双翅目昆虫具有保守的L-rRNA二级结构; 不同结构区碱基组成和分布不均匀, Ⅳ区和Ⅴ区的完全保守碱基含量最高, GC含量最高, 绝大部分科Ⅵ区的AT斜率均小于0; 科内特有碱基和科间少数保守碱基大部分为G或C。瘿蚊科与双翅目其他科具有较远的系统发育关系, 而丽蝇科、 寄蝇科和食蚜蝇科有相近的系统发育关系; 虻科与网翅虻科同在一个小分支; 蠓科与蚊科同在一个大的系统发育分支。利用单方面参数不易得到理想的进化结果, 准确系统发育分析需要结合多方面的参数。