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Mapping the regulatory architecture of circadian clock adaptation: A genome-wide eQTL analysis in Drosophila melanogaster.

The circadian clock enables organisms to align internal daily rhythms with environmental cues, with major consequences for survival and fitness. Although the molecular framework of this system in Drosophila melanogaster is well characterized through transcription translation feedback loops involving ten core clock genes, the genetic basis of natural variation in their expression remains poorly understood. Here, we used natural expression variation to identify expression quantitative trait loci (eQTLs) through genome-wide association mapping. Using the Drosophila Genetic Reference Panel, we measured relative expression of all core clock genes at a single time point two hours after light onset. We identified 109 significant SNPs and 28 indels associated with expression variation across the clock network. Expression levels varied widely, with Pdp1ε showing the greatest variation (an 86-fold difference between extreme lines) and cyc the least (11.3-fold). Only three significant SNPs were located within clock genes themselves, all in Clk, whereas most associations represented trans-eQTLs in genes with diverse molecular functions. Candidate regulators included transcription factors such as Abd-B, tai, and E5; RNA binding proteins including Pum, Bru-3, and Mbl; and several long noncoding and antisense RNAs. Variants were also detected in gbb and the BMP pathway transcription factor Mad. Consistent with this, Mad knockdown reduced vri expression. Together, these results reveal a complex regulatory architecture underlying natural variation in circadian gene expression.

Journal Article↗

MODBASE, a database of annotated comparative protein structure models, and associated resources.

MODBASE (http://salilab.org/modbase) is a relational database of annotated comparative protein structure models for all available protein sequences matched to at least one known protein structure. The models are calculated by MODPIPE, an automated modeling pipeline that relies on the MODELLER package for fold assignment, sequence-structure alignment, model building and model assessment (http:/salilab.org/modeller). MODBASE uses the MySQL relational database management system for flexible querying and CHIMERA for viewing the sequences and structures (http://www.cgl.ucsf.edu/chimera/). MODBASE is updated regularly to reflect the growth in protein sequence and structure databases, as well as improvements in the software for calculating the models. For ease of access, MODBASE is organized into different data sets. The largest data set contains 1,26,629 models for domains in 659,495 out of 1,182,126 unique protein sequences in the complete Swiss-Prot/TrEMBL database (August 25, 2003); only models based on alignments with significant similarity scores and models assessed to have the correct fold despite insignificant alignments are included. Another model data set supports target selection and structure-based annotation by the New York Structural Genomics Research Consortium; e.g. the 53 new structures produced by the consortium allowed us to characterize structurally 24,113 sequences. MODBASE also contains binding site predictions for small ligands and a set of predicted interactions between pairs of modeled sequences from the same genome. Our other resources associated with MODBASE include a comprehensive database of multiple protein structure alignments (DBALI, http://salilab.org/dbali) as well as web servers for automated comparative modeling with MODPIPE (MODWEB, http://salilab. org/modweb), modeling of loops in protein structures (MODLOOP, http://salilab.org/modloop) and predicting functional consequences of single nucleotide polymorphisms (SNPWEB, http://salilab. org/snpweb).

Amino Acid Sequence↗

Annotation of the Drosophila melanogaster euchromatic genome: a systematic review.

BACKGROUND: The recent completion of the Drosophila melanogaster genomic sequence to high quality and the availability of a greatly expanded set of Drosophila cDNA sequences, aligning to 78% of the predicted euchromatic genes, afforded FlyBase the opportunity to significantly improve genomic annotations. We made the annotation process more rigorous by inspecting each gene visually, utilizing a comprehensive set of curation rules, requiring traceable evidence for each gene model, and comparing each predicted peptide to SWISS-PROT and TrEMBL sequences. RESULTS: Although the number of predicted protein-coding genes in Drosophila remains essentially unchanged, the revised annotation significantly improves gene models, resulting in structural changes to 85% of the transcripts and 45% of the predicted proteins. We annotated transposable elements and non-protein-coding RNAs as new features, and extended the annotation of untranslated (UTR) sequences and alternative transcripts to include more than 70% and 20% of genes, respectively. Finally, cDNA sequence provided evidence for dicistronic transcripts, neighboring genes with overlapping UTRs on the same DNA sequence strand, alternatively spliced genes that encode distinct, non-overlapping peptides, and numerous nested genes. CONCLUSIONS: Identification of so many unusual gene models not only suggests that some mechanisms for gene regulation are more prevalent than previously believed, but also underscores the complex challenges of eukaryotic gene prediction. At present, experimental data and human curation remain essential to generate high-quality genome annotations.

Animals↗

Complete DNA sequence of the mitochondrial genome of the sea-slug, Aplysia californica: conservation of the gene order in Euthyneura.

We have sequenced and characterized the complete mitochondrial genome of the sea slug, Aplysia californica, an important model organism in experimental biology and a representative of Anaspidea (Opisthobranchia, Gastropoda). The mitochondrial genome of Aplysia is in the small end of the observed sizes of animal mitochondrial genomes (14,117 bp, NCBI Accession No. NC_005827). The Aplysia genome, like most other mitochondrial genomes, encodes genes for 2 ribosomal subunit RNAs (small and large rRNAs), 22 tRNAs, and 13 protein subunits (cytochrome c oxidase subunits 1-3, cytochrome b apoenzyme, ATP synthase subunits 6 and 8, and NADH dehydrogenase subunits 1-6 and 4L). The gene order is virtually identical between opisthobranchs and pulmonates, with the majority of differences arising from tRNA translocations. In contrast, the gene order from representatives of basal gastropods and other molluscan classes is significantly different from opisthobranchs and pulmonates. The Aplysia genome was compared to all other published molluscan mitochondrial genomes and phylogenetic analyses were carried out using a concatenated protein alignment. Phylogenetic analyses using maximum likelihood based analyses of the well aligned regions of the protein sequences support both monophyly of Euthyneura (a group including both the pulmonates and opisthobranchs) and Opisthobranchia (as a more derived group). The Aplysia mitochondrial genome sequenced here will serve as an important platform in both comparative and neurobiological studies using this model organism.

Animals↗

Multiple sequence alignments of partially coding nucleic acid sequences.

BACKGROUND: High quality sequence alignments of RNA and DNA sequences are an important prerequisite for the comparative analysis of genomic sequence data. Nucleic acid sequences, however, exhibit a much larger sequence heterogeneity compared to their encoded protein sequences due to the redundancy of the genetic code. It is desirable, therefore, to make use of the amino acid sequence when aligning coding nucleic acid sequences. In many cases, however, only a part of the sequence of interest is translated. On the other hand, overlapping reading frames may encode multiple alternative proteins, possibly with intermittent non-coding parts. Examples are, in particular, RNA virus genomes. RESULTS: The standard scoring scheme for nucleic acid alignments can be extended to incorporate simultaneously information on translation products in one or more reading frames. Here we present a multiple alignment tool, codaln, that implements a combined nucleic acid plus amino acid scoring model for pairwise and progressive multiple alignments that allows arbitrary weighting for almost all scoring parameters. Resource requirements of codaln are comparable with those of standard tools such as ClustalW. CONCLUSION: We demonstrate the applicability of codaln to various biologically relevant types of sequences (bacteriophage Levivirus and Vertebrate Hox clusters) and show that the combination of nucleic acid and amino acid sequence information leads to improved alignments. These, in turn, increase the performance of analysis tools that depend strictly on good input alignments such as methods for detecting conserved RNA secondary structure elements.

Algorithms↗

Comparative genomics: the key to understanding the Human Genome Project.

The sequencing of the human genome is well underway. Technology has advanced, such that the total genomic sequence is possible, along with an extensive catalogue of genes via comprehensive cDNA libraries. With the recent completion of the Saccharomyces cerevisiae sequencing project and the imminent completion of that of Caenorhabditis elegans, the most frequently asked question is how much can sequence data alone tell us? The answer is that that a DNA sequence taken in isolation from a single organism reveals very little. The vast majority of DNA in most organisms is noncoding. Protein coding sequences or genes cannot function as isolated units without interaction with noncoding DNA and neighboring genes. This genomic environment is specific to each organism. In order to understand this we need to look at similar genes in different organisms, to determine how function and position has changed over the course of evolution. By understanding evolutionary processes we can gain a greater insight into what makes a gene and the wider processes of genetics and inheritance. Comparative genomics (with model organisms), once the poor relation of the human genome project, is starting to provide the key to unlock the DNA code.

Animals↗

Phylogenetic relationships among adenovirus serotypes.

Phylogenetic comparisons of adenovirus DNA sequences, including the recently completed genomic sequences of Ad40 and Ad12, have been performed in order to investigate the evolutionary relationships among the various serotypes. Phylogenetic trees were constructed from sequence data for the ITR, E1a, E1b, E2a, E3b, major late promoter, hexon, protease, and fiber regions of the genome using programs contained in the PHYLIP (Phylogeny Inference) package. In general the branching pattern of the human serotypes at each locus correlated well with the classification of the human serotypes into six subgenera (A-F). However, a close evolutionary relationship was inferred between Ad4 (the only member of subgenus E) and the subgenus B viruses Ad3, Ad7, and Ad35, and challenges the placement of Ad4 in a subgenus of its own. In addition, the human viruses of subgenera A (Ad12, Ad18, and Ad31) and F (Ad40 and Ad41), as well as the simian adenoviruses SAV16 (SA7) and SAV8 (SV30), all of which are associated with infections of the gastrointestinal tract, were found to cluster together. The results suggest that these viruses have followed a course of evolution distinct from those of the other subgenera which largely infect the respiratory tract. Analysis of genetic variability between the four complete genomic sequences (Ad2, Ad5, Ad12, and Ad40) identified three regions subject to more rapid change, corresponding to the hexon-, fiber- and E3a-coding regions. Genetic variability at the E3a locus is particularly striking and may relate to the pathogenicity of the various serotypes.

Adenoviridae↗

Gypsy homologous sequences in Drosophila subobscura (gypsyDS).

Characterization of sequences homologous to the Drosophila melanogaster gypsy transposable element was carried out in Drosophila subobscura (gypsyDS). They were found to be widely distributed among natural populations of this species. From Southern blot and in situ analyses, these sequences appear to be mobile in this species. GypsyDS sequences are located in both euchromatic and heterochromatic regions. A complete gypsyDS sequence was isolated from a D. subobscura genomic library, and a 1.3-kb fragment which aligns with the ORF2 of the D. melanogaster gypsy element was sequenced. Comparisons of this sequence in three species (D. subobscura, D. melanogaster, and D. virilis) indicate that there is greater similarity between the D. subobscura-D. virilis sequences than between D. subobscura and D. melanogaster. Molecular divergence of gypsy sequences between D. virilis and D. subobscura is estimated at 16 MY, whereas the most likely divergence time of these two species is more than 60 MY. These data strongly suggest that gypsy sequences have been horizontally transferred between these species.

Amino Acid Sequence↗

Understanding the rise of the superbug: investigation of the evolution and genomic variation of Staphylococcus aureus.

The bacterium Staphylococcus aureus is a common cause of human infection, and it is becoming increasingly virulent and resistant to antibiotics. Our understanding of the evolution of this species has been greatly enhanced by the recent sequencing of the genomes of seven strains of S. aureus. Comparative genomic analysis allows us to identify variation in the chromosomes and understand the mechanisms by which this versatile bacterium has accumulated diversity within its genome structure.

Drug Resistance↗

The role of RNA editing in conservation of start codons in chloroplast genomes.

Open reading frames (ORFs), encoded by the plastid genomes of tobacco, liverwort, rice and maize were aligned with a view to studying the conservation of translational start and stop codons created by RNA editing of homologous genes. It became evident that most of the homologous ORFs have conserved translation start and stop signals at the gene level. However, some of the ORFs show differences with respect to extensions of their 3' and 5' terminal regions. For example, the proposed N-termini of the ndhD-encoded peptides from different plant species are very variable in length and amino-acid composition. Sequence analysis of ndhD and the corresponding cDNA shows that editing of an ACG triplet in tobacco, spinach and snapdragon leads to the creation of an AUG codon, corresponding to the start codon in other species. Conservation of translational start codons of plastome-encoded genes can, therefore, be achieved by editing of transcripts, and the definition of plastome-encoded ORFs must take potential editing events into consideration.

Amino Acid Sequence↗

Targeted gene repair activates Chk1 and Chk2 and stalls replication in corrected cells.

Oligonucleotides (ODNs) can direct the exchange of single nucleotides at specific sites in the mammalian genome. It is generally believed that the ODN aligns in homologous register with its complementary site in the target gene and provides a template for the endogenous repair machinery to alter the sequence of the gene. We have been studying the initial phase of the reaction with particular emphasis on the cellular events that occur when the oligonucleotide enters the cell. Our results show that, following introduction of the oligonucleotide, the DNA-damage response pathway is activated, evidenced by the presence of phosphorylated p53, Chk1 and Chk2, respectively. As a result, progression of some of these cells through the cell cycle is slowed and those bearing corrected genes all contain phosphorylated Chk1 and Chk2. In contrast, uncorrected cells contain much lower levels of these proteins in the activated state and pass through the cell cycle in a normal fashion. We suggest that gene repair directed by oligonucleotides activates a pathway that prevents corrected cells from proliferating in cell culture through the activation of Chk1 and Chk2. Our results impact the future use of gene repair for ex vivo gene therapy applications.

Ataxia Telangiectasia Mutated Proteins↗

Functional analysis of alcS, a gene of the alc cluster in Aspergillus nidulans.

The ethanol utilization pathway (alc system) of Aspergillus nidulans requires two structural genes, alcA and aldA, which encode the two enzymes (alcohol dehydrogenase and aldehyde dehydrogenase, respectively) allowing conversion of ethanol into acetate via acetyldehyde, and a regulatory gene, alcR, encoding the pathway-specific autoregulated transcriptional activator. The alcR and alcA genes are clustered with three other genes that are also positively regulated by alcR, although they are dispensable for growth on ethanol. In this study, we characterized alcS, the most abundantly transcribed of these three genes. alcS is strictly co-regulated with alcA, and encodes a 262-amino acid protein. Sequence comparison with protein databases detected a putative conserved domain that is characteristic of the novel GPR1/FUN34/YaaH membrane protein family. It was shown that the AlcS protein is located in the plasma membrane. Deletion or overexpression of alcS did not result in any obvious phenotype. In particular, AlcS does not appear to be essential for the transport of ethanol, acetaldehyde or acetate. Basic Local Alignment Search Tool analysis against the A. nidulans genome led to the identification of two novel ethanol- and ethylacetate-induced genes encoding other members of the GPR1/FUN34/YaaH family, AN5226 and AN8390.

Alcohol Dehydrogenase↗

Information theory reveals large-scale synchronisation of statistical correlations in eukaryote genomes.

We study short-range correlations in DNA sequences with methods from information theory and statistics. We find a persisting degree of identity between the correlation patterns of different chromosomes of a species. Except for the case of human and chimpanzee inter-species differences in this correlation pattern allow robust species distinction: in a clustering tree based upon the correlation curves on the level of individual chromosomes distinct clusters for the individual species are found. This capacity of distinguishing species persists, even when the length of the underlying sequences is drastically reduced. In comparison to the standard tool for studying symbol correlations in DNA sequences, namely the mutual information function, we find that an autoregressive model for higher order Markov processes significantly improves species distinction due to an implicit subtraction of random background.

Algorithms↗

Use of 3D chaos game representation to quantify DNA sequence similarity with applications for hierarchical clustering.

A 3D chaos game is shown to be a useful way for encoding DNA sequences. Since matching subsequences in DNA converge in space in 3D chaos game encoding, a DNA sequence's 3D chaos game representation can be used to compare DNA sequences without prior alignment and without truncating or padding any of the sequences. Two proposed methods inspired by shape-similarity comparison techniques show that this form of encoding can perform as well as alignment-based techniques for building phylogenetic trees. The first method uses the volume overlap of intersecting spheres and the second uses shape signatures by summarizing the coordinates, oriented angles, and oriented distances of the 3D chaos game trajectory. The methods are tested using: (1) the first exon of the beta-globin gene for 11 species, (2) mitochondrial DNA from four groups of primates, and (3) a set of synthetic DNA sequences. Simulations show that the proposed methods produce distances that reflect the number of mutation events; additionally, on average, distances resulting from deletion mutations are comparable to those produced by substitution mutations.

Animals↗

Chromokinesins: multitalented players in mitosis.

Molecular motors generate cellular forces and act in a multitude of intracellular transport processes. The chromokinesins are a subgroup of kinesin motors. Chromokinesins act in various steps of mitosis, including chromosome condensation, metaphase alignment, chromosome segregation, cytokinesis and they help maintain genome stability. The emerging multifunctional nature of the chromokinesins provides insights into the coordination of distinct mitotic steps, and their role in maintenance of genome stability makes them attractive potential targets for therapeutic intervention.

Animals↗

Aldehyde dehydrogenase gene superfamily: the 2002 update.

The aldehyde dehydrogenase (ALDH) superfamily represents a divergently related group of enzymes that metabolize a wide variety of endogenous and exogenous aldehydes. With the advent of megabase genome sequencing, the ALDH superfamily is continuously expanding on many fronts. The presence of ALDH encoding genes in the vast majority of archaeal, eubacterial and eukaryotic genomes supports the notion that these enzymes are important components of metabolic processes in living organisms and that the ALDH superfamily is ancient in origin. As of July 2002, the ALDH superfamily consists of 555 distinct genes: 32 in archaea, 351 in eubacteria, and 172 in eukaryota. Complete sequencing of individual genomes reveals the number of ALDH genes found per organism ranges from 1 to 5 in archaeal species, 1-26 genes in eubacterial species, and 8-17 genes in eukaryotic species. In the human genome, 17 functional genes and 3 pseudogenes have been identified to date. A standardized ALDH gene nomenclature system has been developed based on multiple alignment analysis of eukaryotic ALDH amino acid sequences. Both Human and Mouse Genome Projects have accepted this nomenclature system. In this report, we present a complete listing of all ALDH sequences known to date, along with the evolutionary analysis of the eukaryotic ALDHs. Thus far, the eukaryotic ALDHs comprise 20 gene families. Detailed information on ALDH gene superfamily is also available at http://www.uchsc.edu/sp/sp/alcdbase/aldhcov.html.

Aldehyde Dehydrogenase↗

Genome annotation: which tools do we have for it?

Genome data have to be converted into knowledge to be useful to biologists. Many valuable computational tools have already been developed to help annotation of plant genome sequences, and these may be improved further, for example by identification of more gene regulatory elements. The lack of a standard computer-assisted annotation platform for eukaryotic genomes remains major bottle-neck.

Arabidopsis↗

A brief review of computational gene prediction methods.

With the development of genome sequencing for many organisms, more and more raw sequences need to be annotated. Gene prediction by computational methods for finding the location of protein coding regions is one of the essential issues in bioinformatics. Two classes of methods are generally adopted: similarity based searches and ab initio prediction. Here, we review the development of gene prediction methods, summarize the measures for evaluating predictor quality, highlight open problems in this area, and discuss future research directions.

Computational Biology↗