GC-compositional strand bias around transcription start sites in plants and fungi

Identification of a mitotic recombination hotspot on chromosome III of the asexual fungus Aspergillus niger and its possible correlation with [corrected] elevated basal transcription

Genetic recombination is an important tool in strain breeding in many organisms. We studied the possibilities of mitotic recombination in strain breeding of the asexual fungus Aspergillus niger. By identifying genes that complemented mapped auxotrophic mutations, the physical map was compared to the genetic map of chromosome III using the genome sequence. In a program to construct a chromosome III-specific marker strain by selecting mitotic crossing-over in diploids, a mitotic recombination hotspot was identified. Analysis of the mitotic recombination hotspot revealed some physical features, elevated basal transcription and a possible correlation with purine stretches.

Identification of plant promoter constituents by analysis of local distribution of short sequences

Background

Plant promoter architecture is important for understanding regulation and evolution of the promoters, but our current knowledge about plant promoter structure, especially with respect to the core promoter, is insufficient. Several promoter elements including TATA box, and several types of transcriptional regulatory elements have been found to show local distribution within promoters, and this feature has been successfully utilized for extraction of promoter constituents from human genome.

Results

LDSS (Local Distribution of Short Sequences) profiles of short sequences along the plant promoter have been analyzed in silico, and hundreds of hexamer and octamer sequences have been identified as having localized distributions within promoters of Arabidopsis thaliana and rice. Based on their localization patterns, the identified sequences could be classified into three groups, pyrimidine patch (Y Patch), TATA box, and REG (Regulatory Element Group). Sequences of the TATA box group are consistent with the ones reported in previous studies. The REG group includes more than 200 sequences, and half of them correspond to known cis-elements. The other REG subgroups, together with about a hundred uncategorized sequences, are suggested to be novel cis-regulatory elements. Comparison of LDSS-positive sequences between Arabidopsis and rice has revealed moderate conservation of elements and common promoter architecture. In addition, a dimer motif named the YR Rule (C/T A/G) has been identified at the transcription start site (-1/+1). This rule also fits both Arabidopsis and rice promoters.

Conclusion

LDSS was successfully applied to plant genomes and hundreds of putative promoter elements have been extracted as LDSS-positive octamers. Identified promoter architecture of monocot and dicot are well conserved, but there are moderate variations in the utilized sequences.

GraphDNA: a Java program for graphical display of DNA composition analyses

Background

Under conditions of no strand bias the number of Gs is equal to that of Cs for each DNA strand; similarly, the total number of Ts is equal to that of As. However, within each strand there are considerable local deviations from the A = T and G = C equality. These asymmetries in nucleotide composition have been extensively analyzed in prokaryotic and eukaryotic genomes and related to chromosome organization, transcription orientation and other processes in certain organisms. To carry out analysis of intra-strand nucleotide distribution several graphical methods have been developed.

Results

GraphDNA is a new Java application that provides a simple, user-friendly interface for the visualization of DNA nucleotide composition. The program accepts GenBank, EMBL and FASTA files as an input, and it displays multiple DNA nucleotide composition graphs (skews and walks) in a single window to allow direct comparisons between the sequences. We illustrate the use of DNA skews for characterization of poxvirus and coronavirus genomes.

Conclusion

GraphDNA is a platform-independent, Open Source, tool for the analysis of nucleotide trends in DNA sequences. Multiple sequence formats can be read and multiple sequences may be plotted in a single results window.

Looking for organization patterns of highly expressed genes: purine-pyrimidine composition of precursor mRNAs

We analyzed precursor messenger RNAs (pre-mRNAs) of 12 eukaryotic species. In each species, three groups of highly expressed genes, ribosomal proteins, heat shock proteins, and amino-acyl tRNA synthetases, were compared with a control group (randomly selected genes). The purine-pyrimidine (R-Y) composition of pre-mRNAs of the three targeted gene groups proved to differ significantly from the control. The exons of the three groups tested have higher purine contents and R-tract abundance and lower abundance of Y-tracts compared to the control (R-tract-tract of sequential purines with Rn>or=5; Y-tract-tract of sequential pyrimidines with Yn>or=5). In species widely employing "intron definition" in the splicing process, the Y content of introns of the three targeted groups appeared to be higher compared to the control group. Furthermore, in all examined species, the introns of the targeted genes have a lower abundance of R-tracts compared to the control. We hypothesized that the R-Y composition of the targeted gene groups contributes to high rate and efficiency of both splicing and translation, in addition to the mRNA coding role. This is presumably achieved by (1) reducing the possibility of the formation of secondary structures in the mRNA, (2) using the R-tracts and R-biased sequences as exonic splicing enhancers, (3) lowering the amount of targets for pyrimidine tract binding protein in the exons, and (4) reducing the amount of target sequences for binding of serine/arginine-rich (SR) proteins in the introns, thereby allowing SR proteins to bind to proper (exonic) targets.

Sequencing and analysis of a genomic fragment provide an insight into the Dunaliella viridis genomic sequence

Dunaliella is a genus of wall-less unicellular eukaryotic green alga. Its exceptional resistances to salt and various other stresses have made it an ideal model for stress tolerance study. However, very little is known about its genome and genomic sequences. In this study, we sequenced and analyzed a 29,268 bp genomic fragment from Dunaliella viridis. The fragment showed low sequence homology to the GenBank database. At the nucleotide level, only a segment with significant sequence homology to 18S rRNA was found. The fragment contained six putative genes, but only one gene showed significant homology at the protein level to GenBank database. The average GC content of this sequence was 51.1%, which was much lower than that of close related green algae Chlamydomonas (65.7%). Significant segmental duplications were found within this fragment. The duplicated sequences accounted for about 35.7% of the entire region. Large amounts of simple sequence repeats (microsatellites) were found, with strong bias towards (AC)(n) type (76%). Analysis of other Dunaliella genomic sequences in the GenBank database (total 25,749 bp) was in agreement with these findings. These sequence features made it difficult to sequence Dunaliella genomic sequences. Further investigation should be made to reveal the biological significance of these unique sequence features.

Molecular evolution of minisatellites in hemiascomycetous yeasts

Minisatellites are DNA tandem repeats exhibiting size polymorphism among individuals of a population. This polymorphism is generated by two different mechanisms, both in human and yeast cells, "replication slippage" during S-phase DNA synthesis and "repair slippage" associated to meiotic gene conversion. The Saccharomyces cerevisiae genome contains numerous natural minisatellites. They are located on all chromosomes without any obvious distribution bias. Minisatellites found in protein-coding genes have longer repeat units and on the average more repeat units than minisatellites in noncoding regions. They show an excess of cytosines on the coding strand, as compared to guanines (negative GC skew). They are always multiples of three, encode serine- and threonine-rich amino acid repeats, and are found preferably within genes encoding cell wall proteins, suggesting that they are positively selected in this particular class of genes. Genome-wide, there is no statistically significant association between minisatellites and meiotic recombination hot spots. In addition, minisatellites that are located in the vicinity of a meiotic hot spot are not more polymorphic than minisatellites located far from any hot spot. This suggests that minisatellites, in S. cerevisiae, evolve probably by strand slippage during replication or mitotic recombination. Finally, evolution of minisatellites among hemiascomycetous yeasts shows that even though many minisatellite-containing genes are conserved, most of the time the minisatellite itself is not conserved. The diversity of minisatellite sequences found in orthologous genes of different species suggests that minisatellites are differentially acquired and lost during evolution of hemiascomycetous yeasts at a pace faster than the genes containing them.