Small mobile sequences in bacteria display diverse structure/function motifs

Small repeat sequences in bacterial genomes, which represent non-autonomous mobile elements, have close similarities to archaeon and eukaryotic miniature inverted repeat transposable elements. These repeat elements are found in both intergenic and intragenic chromosomal regions, and contain an array of diverse motifs. These can include DNA sequences containing an integration host factor binding site and a proposed DNA methyltransferase recognition site, transcribed RNA secondary structural motifs, which are involved in mRNA regulation, and translated open reading frames found fused to other open reading frames. Some bacterial mobile element fusions are in evolutionarily conserved protein and RNA genes. Others might represent or lead to creation of new protein genes. Here we review the remarkable properties of these small bacterial mobile elements in the context of possible beneficial roles resulting from random insertions into the genome.     

Analysis of heterologous regulatory and coding regions in algal chloroplasts

The basic photosynthetic apparatus is highly conserved across all photosynthetic organisms, and this conservation can be seen in both protein composition and amino acid sequence. Conservation of regulatory elements also seems possible in chloroplast genes, as many mRNA untranslated regions (UTRs) appear to have similar structural elements. The D1 protein of Photosystem II (psbA gene) is a highly conserved core reaction center protein that shows very similar regulation from cyanobacteria through higher plants. We engineered full and partial psbA genes from a diverse set of photosynthetic organisms into a psbA deficient strain of Chlamydomonas reinhardtii. Analysis of D1 protein accumulation and photosynthetic growth revealed that coding sequences and promoters are interchangeable even between anciently diverged species. On the other hand functional recognition of 5′ UTRs is limited to closely related organisms. Furthermore transformation of heterologous promoters and 5′ UTRs from the atpA, tufA and psbD genes conferred psbA mRNA accumulation but not translation. Overall, our results show that heterologous D1 proteins can be expressed and complement Photosystem II function in green algae, while RNA regulatory elements appear to be very specific and function only from closely related species. Nonetheless, there is great potential for the expression of heterologous photosynthetic coding sequences for studying and modifying photosynthesis in C. reinhardtii chloroplasts.     

RNAProfile: an algorithm for finding conserved secondary structure motifs in unaligned RNA sequences

The recent interest sparked due to the discovery of a variety of functions for non-coding RNA molecules has highlighted the need for suitable tools for the analysis and the comparison of RNA sequences. Many trans-acting non-coding RNA genes and cis-acting RNA regulatory elements present motifs, conserved both in structure and sequence, that can be hardly detected by primary sequence analysis alone. We present an algorithm that takes as input a set of unaligned RNA sequences expected to share a common motif, and outputs the regions that are most conserved throughout the sequences, according to a similarity measure that takes into account both the sequence of the regions and the secondary structure they can form according to base-pairing and thermodynamic rules. Only a single parameter is needed as input, which denotes the number of distinct hairpins the motif has to contain. No further constraints on the size, number and position of the single elements comprising the motif are required. The algorithm can be split into two parts: first, it extracts from each input sequence a set of candidate regions whose predicted optimal secondary structure contains the number of hairpins given as input. Then, the regions selected are compared with each other to find the groups of most similar ones, formed by a region taken from each sequence. To avoid exhaustive enumeration of the search space and to reduce the execution time, a greedy heuristic is introduced for this task. We present different experiments, which show that the algorithm is capable of characterizing and discovering known regulatory motifs in mRNA like the iron responsive element (IRE) and selenocysteine insertion sequence (SECIS) stem–loop structures. We also show how it can be applied to corrupted datasets in which a motif does not appear in all the input sequences, as well as to the discovery of more complex motifs in the non-coding RNA.     

The conserved 3′ Angio‐domain defines a superfamily of short interspersed nuclear elements (SINEs) in higher plants

Repetitive sequences are ubiquitous components of eukaryotic genomes affecting genome size and evolution as well as gene regulation. Among them, short interspersed nuclear elements (SINEs) are non‐coding retrotransposons usually shorter than 1000 bp. They contain only few short conserved structural motifs, in particular an internal promoter derived from cellular RNAs and a mostly AT‐rich 3′ tail, whereas the remaining regions are highly variable. SINEs emerge and vanish during evolution, and often diversify into numerous families and subfamilies that are usually specific for only a limited number of species. In contrast, at the 3′ end of multiple plant SINEs we detected the highly conserved ‘Angio‐domain’. This 37 bp segment defines the Angio‐SINE superfamily, which encompasses 24 plant SINE families widely distributed across 13 orders within the plant kingdom. We retrieved 28 433 full‐length Angio‐SINE copies from genome assemblies of 46 plant species, frequently located in genes. Compensatory mutations in and adjacent to the Angio‐domain imply selective restraints maintaining its RNA structure. Angio‐SINE families share segmental sequence similarities, indicating a modular evolution with strong Angio‐domain preservation. We suggest that the conserved domain contributes to the evolutionary success of Angio‐SINEs through either structural interactions between SINE RNA and proteins increasing their transpositional efficiency, or by enhancing their accumulation in genes.     

CDK-related protein kinases in plants

Cyclin-dependent kinases (CDK) form a conserved superfamily of eukaryotic serine-threonine protein kinases, which require binding to a cyclin protein for activity. CDK are involved in different aspects of cell biology and notably in cell cycle regulation. The comparison of nearly 50 plant CDK-related cDNAs with a selected set of their animal and yeast counterparts reveals five classes of these genes in plants. These are described here with respect to their phylogenetic, structural and functional properties. A plant-wide nomenclature of CDK-related genes is proposed, using a system similar to that of the plant cyclin genes. The most numerous class, CDKA, includes genes coding for CDK with the PSTAIRE canonical motif. CDKB makes up a class of plant-specific CDK divided into two groups: CDKB1 and CDKB2. CDKC, CDKD and CDKE form less numerous classes. The CDKD class includes the plant orthologues of metazoan CDK7, which correspond to the CDK-activating kinase (CAK). At present, no functional information is available in plants for CDKC and CDKE.     

Ferritin gene organization: Differences between plants and animals suggest possible kingdom-specific selective constraints

Ferritin, a protein widespread in nature, concentrates iron ∼10¹¹–10¹²-fold above the solubility within a spherical shell of 24 subunits; it derives in plants and animals from a common ancestor (based on sequence) but displays a cytoplasmic location in animals compared to the plastid in contemporary plants. Ferritin gene regulation in plants and animals is altered by development, hormones, and excess iron; iron signals target DNA in plants but mRNA in animals. Evolution has thus conserved the two end points of ferritin gene expression, the physiological signals and the protein structure, while allowing some divergence of the genetic mechanisms. Comparison of ferritin gene organization in plants and animals, made possible by the cloning of a dicot (soybean) ferritin gene presented here and the recent cloning of two monocot (maize) ferritin genes, shows evolutionary divergence in ferritin gene organization between plants and animals but conservation among plants or among animals; divergence in the genetic mechanism for iron regulation is reflected by the absence in all three plant genes of the IRE, a highly conserved, noncoding sequence in vertebrate animal ferritin mRNA. In plant ferritin genes, the number of introns (n= 7) is higher than in animals (n= 3). Second, no intron positions are conserved when ferritin genes of plants and animals are compared, although all ferritin gene introns are in the coding region; within kingdoms, the intron positions in ferritin genes are conserved. Finally, secondary protein structure has no apparent relationship to intron/exon boundaries in plant ferritin genes, whereas in animal ferritin genes the correspondence is high. The structural differences in introns/exons among phylogenetically related ferritin coding sequences and the high conservation of the gene structure within plant or animal kingdoms suggest that kingdom-specific functional constraints may exist to maintain a particular intron/exon pattern within ferritin genes. In the case of plants, where ferritin gene intron placement is unrelated to triplet codons or protein structure, and where ferritin is targeted to the plastid, the selection pressure on gene organization may relate to RNA function and plastid/nuclear signaling. Received: 25 July 1995 / Accepted: 3 October 1995     

The Xenopus laevis poly(A) binding protein is composed of multiple functionally independent RNA binding domains.

A family of eukaryotic RNA binding proteins is defined by the conserved RNP motif. The poly(A) binding protein has four such motifs. We report on the isolation and structural characterization of several variant cDNA clones, as well as of a gene encoding this protein in Xenopus laevis embryos. Wild-type protein as well as truncated versions carrying isolated single motifs or artificial combinations of two and more such elements were characterized for their ability to bind specifically to RNA homopolymers. Three of the isolated repeats were functional in specific RNA binding, whereas the N-terminal RNP motif was non-functional. Combinatorial effects in RNA binding were measured with constructs carrying multiple repeats, which were not predictable from the activity of isolated domains.     

Predicting regulons and their cis-regulatory motifs by comparative genomics

We have combined and compared three techniques for predicting functional interactions based on comparative genomics (methods based on conserved operons, protein fusions and correlated evolution) and optimized these methods to predict coregulated sets of genes in 24 complete genomes, including Saccharomyces cerevisiae, Caernorhabditis elegans and 22 prokaryotes. The method based on conserved operons was the most useful for this purpose. Upstream regions of the genes comprising these predicted regulons were then used to search for regulatory motifs in 22 prokaryotic genomes using the motif-discovery program AlignACE. Many significant upstream motifs, including five known Escherichia coli regulatory motifs, were identified in this manner. The presence of a significant regulatory motif was used to refine the members of the predicted regulons to generate a final set of predicted regulons that share significant regulatory elements.     

PSSMTS: position specific scoring matrices on tree structures

Identifying non-coding RNA regions on the genome using computational methods is currently receiving a lot of attention. In general, it is essentially more difficult than the problem of detecting protein-coding genes because non-coding RNA regions have only weak statistical signals. On the other hand, most functional RNA families have conserved sequences and secondary structures which are characteristic of their molecular function in a cell. These are known as sequence motifs and consensus structures, respectively. In this paper, we propose an improved method which extends a pairwise structural alignment method for RNA sequences to handle position specific scoring matrices and hence to incorporate motifs into structural alignment of RNA sequences. To model sequence motifs, we employ position specific scoring matrices (PSSMs). Experimental results show that PSSMs enable us to find individual RNA families efficiently, especially if we have biological knowledge such as sequence motifs. K. Sato and K. Morita contributed equally to this work.