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RNA-based phylogenetic methods: application to mammalian mitochondrial RNA sequences.

The PHASE software package allows phylogenetic tree construction with a number of evolutionary models designed specifically for use with RNA sequences that have conserved secondary structure. Evolution in the paired regions of RNAs occurs via compensatory substitutions, hence changes on either side of a pair are correlated. Accounting for this correlation is important for phylogenetic inference because it affects the likelihood calculation. In the present study we use the complete set of tRNA and rRNA sequences from 69 complete mammalian mitochondrial genomes. The likelihood calculation uses two evolutionary models simultaneously for different parts of the sequence: a paired-site model for the paired sites and a single-site model for the unpaired sites. We use Bayesian phylogenetic methods and a Markov chain Monte Carlo algorithm is used to obtain the most probable trees and posterior probabilities of clades. The results are well resolved for almost all the important branches on the mammalian tree. They support the arrangement of mammalian orders within the four supra-ordinal clades that have been identified by studies of much larger data sets mainly comprising nuclear genes. Groups such as the hedgehogs and the murid rodents, which have been problematic in previous studies with mitochondrial proteins, appear in their expected position with the other members of their order. Our choice of genes and evolutionary model appears to be more reliable and less subject to biases caused by variation in base composition than previous studies with mitochondrial genomes.

Animals↗

Comparison of the genome sequences of Listeria monocytogenes and Listeria innocua: clues for evolution and pathogenicity.

Listeria monocytogenes, an invasive opportunistic, food-borne pathogen, remains one of the leading causes of mortality from food-borne infections. The recently determined complete genome sequences of L. monocytogenes strain EGDe and of that of the closely related non-pathogenic species Listeria innocua strain CLIP11262 enhance our knowledge of the genetic basis of the virulence of L. monocytogenes and advance our understanding of the evolution of these Listeria species. Both genomes encode a high number of surface, transport and regulatory proteins. Comparison of the genome organisation revealed a perfect synteny between the two Listeria genomes. Comparison with other closely related bacteria also showed a high conservation in genome organisation among the Listeria, Staphylococcus and Bacillus group of low G+C content bacteria. Distinct G+C content of a number of strain-specific genes suggests intensive lateral gene transfer. The identification of a 55-kb locus encoding proteins with high homology to Salmonella enterica serovar Typhimurium vitamin B(12) synthesis proteins as well as those necessary for degradation of ethanolamine and propanediol further indicates acquisition of a complete metabolic pathway by horizontal gene transfer and a probable role of this locus in anaerobic growth in the host.

Anaerobiosis↗

Mutagenesis analysis of a hepatitis delta virus genomic ribozyme.

We conducted extensive mutagenesis analysis on a hepatitis delta virus (HDV) genomic ribozyme to study the sequence specificity of certain region and to derive the secondary structure associated with the catalytic core. The results confirmed that the autocatalytic domain of HDV genomic RNA contained four base-pairing regions as predicted in the 'pseudo-knot' model [Perrotta & Been (1990) Nature 350, 434-436]. The size and sequence of one of the base-pairing regions, i. e. stem-and-loop, could be flexible. Helix 3 and the first basepair of helix 1 required specific sequence to retain self-cleavage activity. The structural requirement of helix 2 was less stringent than the other base-pairing regions. Moreover, the size of helix 1 affected self-cleavage whereas the length of hinge could be variable even though the first three residues of hinge had stringent sequence requirement.

Base Composition↗

Exploring the Penicillium marneffei genome.

Penicillium marneffei is a dimorphic fungus that intracellularly infects the reticuloendothelial system of humans and bamboo rats. Endemic in Southeast Asia, it infects 10% of AIDS patients in this region. The absence of a sexual stage and the highly infectious nature of the mould-phase conidia have impaired studies on thermal dimorphic switching and host-microbe interactions. Genomic analysis, therefore, could provide crucial information. Pulsed-field gel electrophoresis of genomic DNA of P. marneffei revealed three or more chromosomes (5.0, 4.0, and 2.2 Mb). Telomeric fingerprinting revealed 6-12 bands, suggesting that there were chromosomes of similar sizes. The genome size of P. marneffei was hence about 17.8-26.2 Mb. G+C content of the genome is 48.8 mol%. Random exploration of the genome of P. marneffei yielded 2303 random sequence tags (RSTs), corresponding to 9% of the genome, with 11.7, 6.3, and 17.4% of the RSTs having sequence similarity to yeast-specific sequences, non-yeast fungus sequences, and both (common sequences), respectively. Analysis of the RSTs revealed genes for information transfer (ribosomal protein genes, tRNA synthetase subunits, translation initiation, and elongation factors), metabolism, and compartmentalization, including several multi-drug-resistance protein genes and homologues of fluconazole-resistance gene. Furthermore, the presence of genes encoding pheromone homologues and ankyrin repeat-containing proteins of other fungi and algae strongly suggests the presence of a sexual stage that presumably exists in the environment.

Base Composition↗

Using genomics and proteomics to investigate mechanisms of transcriptional silencing in Saccharomyces cerevisiae.

Silent chromatin in budding yeast is characterized by the presence of a specialized chromatin modification complex consisting of silent information regulator (Sir) proteins, closely packed pairs of nucleosomes, and hypoacetylated and hypomethylated histones. How this specialized chromatin is established, maintained and inherited has been extensively studied. Less investigated are the determinants that constrain its linear spread along the chromatin fibre and the manner by which it represses gene transcription. Here we review the essential features of SIR-mediated heterochromatin, and discuss genomic and proteomic approaches for discerning the composition of its boundaries and for elucidating the mechanisms by which it silences transcription.

Acylation↗

Application of tetranucleotide frequencies for the assignment of genomic fragments.

A basic problem of the metagenomic approach in microbial ecology is the assignment of genomic fragments to a certain species or taxonomic group, when suitable marker genes are absent. Currently, the (G + C)-content together with phylogenetic information and codon adaptation for functional genes is mostly used to assess the relationship of different fragments. These methods, however, can produce ambiguous results. In order to evaluate sequence-based methods for fragment identification, we extensively compared (G + C)-contents and tetranucleotide usage patterns of 9054 fosmid-sized genomic fragments generated in silico from 118 completely sequenced bacterial genomes (40 982 931 fragment pairs were compared in total). The results of this systematic study show that the discriminatory power of correlations of tetranucleotide-derived z-scores is by far superior to that of differences in (G + C)-content and provides reasonable assignment probabilities when applied to metagenome libraries of small diversity. Using six fully sequenced fosmid inserts from a metagenomic analysis of microbial consortia mediating the anaerobic oxidation of methane (AOM), we demonstrate that discrimination based on tetranucleotide-derived z-score correlations was consistent with corresponding data from 16S ribosomal RNA sequence analysis and allowed us to discriminate between fosmid inserts that were indistinguishable with respect to their (G + C)-contents.

Bacteria↗

Comprehensive analysis of the base composition around the transcription start site in Metazoa.

BACKGROUND: The transcription start site of a metazoan gene remains poorly understood, mostly because there is no clear signal present in all genes. Now that several sequenced metazoan genomes have been annotated, we have been able to compare the base composition around the transcription start site for all annotated genes across multiple genomes. RESULTS: The most prominent feature in the base compositions is a significant local variation in G+C content over a large region around the transcription start site. The change is present in all animal phyla but the extent of variation is different between distinct classes of vertebrates, and the shape of the variation is completely different between vertebrates and arthropods. Furthermore, the height of the variation correlates with CpG frequencies in vertebrates but not in invertebrates and it also correlates with gene expression, especially in mammals. We also detect GC and AT skews in all clades (where %G is not equal to %C or %A is not equal to %T respectively) but these occur in a more confined region around the transcription start site and in the coding region. CONCLUSIONS: The dramatic changes in nucleotide composition in humans are a consequence of CpG nucleotide frequencies and of gene expression, the changes in Fugu could point to primordial CpG islands, and the changes in the fly are of a totally different kind and unrelated to dinucleotide frequencies.

AT Rich Sequence↗

Genome-wide identification of quantitative trait loci in a cross between Hampshire and Landrace I: carcass traits.

We report the identification of quantitative trait loci (QTL) affecting carcass composition, carcass length, fat deposition and lean meat content using a genome scan across 462 animals from a combined intercross and backcross between Hampshire and Landrace pigs. Data were analysed using multiple linear regression fitting additive and dominance effects. This model was compared with a model including a parent-of-origin effect to spot evidence of imprinting. Several precisely defined muscle phenotypes were measured in order to dissect body composition in more detail. Three significant QTL were detected in the study at the 1% genome-wide level, and twelve significant QTL were detected at the 5% genome-wide level. These QTL comprise loci affecting fat deposition and lean meat content on SSC1, 4, 9, 10, 13 and 16, a locus on SSC2 affecting the ratio between weight of meat and bone in back and weight of meat and bone in ham and two loci affecting carcass length on SSC12 and 17. The well-defined phenotypes in this study enabled us to detect QTL for sizes of individual muscles and to obtain information of relevance for the description of the complexity underlying other carcass traits.

Animal Husbandry↗

Comprehensive plastome variation and RNA editing in Mentha: insights into phylogenetic relationships and candidate DNA barcodes.

INTRODUCTION: Mentha is an economically and medicinally important genus in Lamiaceae, but its taxonomy and species delimitation remain challenging because of frequent hybridization, polyploidy, and marked morphological plasticity. METHODS: In this study, we comparatively analyzed 12 plastomes representing major Mentha species, hybrid taxa, and unresolved accessions, including four newly assembled genomes, to characterize plastome structure, repeat composition, sequence divergence, phylogenetic relationships, and plastid RNA editing. The M. arvensis plastome and RNA-seq datasets originated from independent Swiss and Indian accessions, respectively. RESULTS: The plastomes were highly conserved in overall organization, ranging from 151,824 to 152,154 bp and displaying the typical quadripartite structure. Gene content and order were largely stable across taxa, with only minor variation likely associated with annotation differences at IR/SC boundary regions. Codon usage analysis revealed a clear bias toward A/U-ending synonymous codons, and most shared protein-coding genes showed low Ka/Ks ratios, indicating predominant purifying selection. Repeat analyses showed that simple sequence repeats were mainly composed of A/T-rich mononucleotide motifs, whereas long repeats were concentrated in the 30-40 bp size class. Comparative analyses identified six hypervariable regions, namely ccsA-ndhD, ycf1, ndhD, rpl32-trnL-UAG, rbcL-accD, and petA-psbJ, which represent promising candidate plastid markers for species discrimination. Phylogenetic analysis based on complete plastomes provided strong support for relationships among the sampled taxa and recovered a close affinity among M. aquatica, M. arvensis, and M. canadensis. In addition, RNA-seq analysis of M. arvensis identified 17 candidate plastid RNA editing sites, most of which were C-to-U conversions and nonsynonymous events. DISCUSSION: Together, these results expand plastid genomic resources for Mentha and provide a useful framework for phylogenetic inference, species identification, and future germplasm utilization.

RNA editing↗

Capturing whole-genome characteristics in short sequences using a naïve Bayesian classifier.

Bacterial genomes have diverged during evolution, resulting in clearcut differences in their nucleotide composition, such as their GC content. The analysis of complete sequences of bacterial genomes also reveals the presence of nonrandom sequence variation, manifest in the frequency profile of specific short oligonucleotides. These frequency profiles constitute highly specific genomic signatures. Based on these differences in oligonucleotide frequency between bacterial genomes, we investigated the possibility of predicting the genome of origin for a specific genomic sequence. To this end, we developed a naïve Bayesian classifier and systematically analyzed 28 eubacterial and archaeal genomes. We found that sequences as short as 400 bases could be correctly classified with an accuracy of 85%. We then applied the classifier to the identification of horizontal gene transfer events in whole-genome sequences and demonstrated the validity of our approach by correctly predicting the transfer of both the superoxide dismutase (sodC) and the bioC gene from Haemophilus influenzae to Neisseria meningitis, correctly identifying both the donor and recipient species. We believe that this classification methodology could be a valuable tool in biodiversity studies.

Archaea↗

Identification of proteins by their amino acid composition: an evaluation of the method.

Expression of different genomes can be studied by high-resolution two-dimensional electrophoresis (2-D PAGE). To help these studies, two-dimensional reference maps of different biological tissues and fluids have been built and can be found in the SWISS-2DPAGE database, accessible via the World Wide Web network on the ExPASy molecular biology server. Different techniques were used to identify the polypeptides. At the present time, the method considered to be the fastest and the most cost-effective is amino acid composition analysis (AAC). Proteins, transferred onto polyvinylidene (PVDF) membranes, were submitted to vapor-phase hydrolysis, derivatized with 9-fluorenylmethyl chloroformate (FMOC) and separated on an ODS-Hypersil column. Identification was obtained by using the program 'AACompIdent' available from ExPASy. In this work, different experimental parameters, such as contamination, reproducibility and accuracy, have been assessed. First, it has been found that a major source of contamination was human keratin. Next, amino acids have been classified into 'reliable' and 'nonreliable'. Accordingly, 'bias' and 'weights' were defined for each amino acid, which could be set in the 'AACompIdent' program. Finally, examples of identification, including the use of Edman degradation sequence tagging, are described.

Amino Acid Sequence↗

Multilayered nucleotide organization reveals purifying selection and host-driven adaptation in CPV and FPV.

Since feline panleukopenia virus (FPV) is considered the most likely ancestor of canine parvovirus (CPV), comprehensive comparisons of nucleotide organization in corresponding viral genes between CPV and FPV may provide novel insights into the evolutionary dynamics underlying the divergence of these two viruses. Here, we characterize the evolutionary patterns of CPV and FPV genes across multiple levels of nucleotide organization. Both viruses exhibited highly conserved nucleotide usage at nonsynonymous sites, with Ka/Ks patterns consistent with strong purifying selection, whereas synonymous sites showed greater variability. CpG dinucleotides were markedly underrepresented across all four viral genes, suggesting host-associated selective pressure and/or intrinsic nucleotide compositional constraints. Extensive nonrandom biases in synonymous codon usage, codon neighboring nucleotide context, and codon pair usage further revealed fine-scale genomic optimization shaped by natural selection and nucleotide compositional constraints. Structural protein genes (VP1 and VP2) displayed stronger codon usage bias and higher tRNA adaptation than nonstructural genes. Moreover, CPV genes showed greater translational adaptation to feline hosts than to canine hosts. These findings highlight how closely related parvoviruses exploit flexible nucleotide organization to facilitate host adaptation while maintaining essential protein functions.

Animals↗

Presence of isochore structures in reptile genomes suggested by the relationship between GC contents of intron regions and those of coding regions.

Vertebrate genomes are mosaics of isochores. On the assumption that marked differences exist in the isochore structure between warm-blooded and cold-blooded animals, variations among vertebrates were previously attributed to adaptation to homeothermy. However, based on the data of coding regions from representatives of extant vertebrates, including a turtle, a crocodile (Archosauromorpha) and a few kinds of snakes (Lepidosauromorpha), it was recently hypothesized that the common ancestors of mammals, birds and extant reptiles already had the "warm-blooded" isochore structure. To test this hypothesis, the nucleotide sequences of alpha-globin genes including non-coding regions (introns) from two snakes, N. kaouthia and E. climacophora, were determined (accession number: AB104824, AB104825). The correlation between the GC contents in the introns and exons of alpha-globin genes from snakes and those from other vertebrates supports the above hypothesis. Similar analysis using data for exons and introns of other genes obtained from the GenBank (Release 131) also support the above hypothesis.

Animals↗

The psychrophilic lifestyle as revealed by the genome sequence of Colwellia psychrerythraea 34H through genomic and proteomic analyses.

The completion of the 5,373,180-bp genome sequence of the marine psychrophilic bacterium Colwellia psychrerythraea 34H, a model for the study of life in permanently cold environments, reveals capabilities important to carbon and nutrient cycling, bioremediation, production of secondary metabolites, and cold-adapted enzymes. From a genomic perspective, cold adaptation is suggested in several broad categories involving changes to the cell membrane fluidity, uptake and synthesis of compounds conferring cryotolerance, and strategies to overcome temperature-dependent barriers to carbon uptake. Modeling of three-dimensional protein homology from bacteria representing a range of optimal growth temperatures suggests changes to proteome composition that may enhance enzyme effectiveness at low temperatures. Comparative genome analyses suggest that the psychrophilic lifestyle is most likely conferred not by a unique set of genes but by a collection of synergistic changes in overall genome content and amino acid composition.

Amino Acids↗

Integration of curated databases to identify genotype-phenotype associations.

BACKGROUND: The ability to rapidly characterize an unknown microorganism is critical in both responding to infectious disease and biodefense. To do this, we need some way of anticipating an organism's phenotype based on the molecules encoded by its genome. However, the link between molecular composition (i.e. genotype) and phenotype for microbes is not obvious. While there have been several studies that address this challenge, none have yet proposed a large-scale method integrating curated biological information. Here we utilize a systematic approach to discover genotype-phenotype associations that combines phenotypic information from a biomedical informatics database, GIDEON, with the molecular information contained in National Center for Biotechnology Information's Clusters of Orthologous Groups database (NCBI COGs). RESULTS: Integrating the information in the two databases, we are able to correlate the presence or absence of a given protein in a microbe with its phenotype as measured by certain morphological characteristics or survival in a particular growth media. With a 0.8 correlation score threshold, 66% of the associations found were confirmed by the literature and at a 0.9 correlation threshold, 86% were positively verified. CONCLUSION: Our results suggest possible phenotypic manifestations for proteins biochemically associated with sugar metabolism and electron transport. Moreover, we believe our approach can be extended to linking pathogenic phenotypes with functionally related proteins.

Computational Biology↗

Densities, length proportions, and other distributional features of repetitive sequences in the human genome estimated from 430 megabases of genomic sequence.

The densities of repetitive elements in the human genome were calculated in each GC content class using non-overlapping windows of 50kb. The density of Alu is two to three times higher in GC-rich regions than in AT-rich regions, while the opposite is true for LINE1. In contrast, LINE2 and other elements, such as DNA transposons, are more uniformly distributed in the genome. The number of Alus in the human genome was estimated to be 1.4 million, higher than previous estimates. About 40% of the autosomes and approximately 51% of the X and Y chromosomes are occupied by repetitive elements. In total, the human genome is estimated to contain more than 4 million repetitive elements. The GC contents (%) of repetitive elements and their flanking regions were also calculated. The GC contents of almost all kinds of repeats are positively correlated with the window GC contents, suggesting that a repetitive sequence is subject to the same mutation pressure as its surrounding regions, so it tends to have the same GC content as its surrounding regions. This observation supports the regional mutation hypothesis. The only two exceptions are AluYa and AluYb8, the two youngest Alu subfamilies. The GC content of AluYb8 is negatively correlated with that of its surrounding regions, while AluYa shows no correlation, suggesting different insertion patterns for these two young Alu subfamilies. This suggestion was supported by the fact that the average genetic distance between members of AluYb8 in each GC window class is positively correlated with the GC content of the window, but no correlation was found for AluYa. AluYa is more frequent in Y chromosome than in other chromosomes; the same is true for LTR retroviruses. This pattern might be correlated with the evolutionary history of Y chromosome.

Alu Elements↗

PhyClone: accurate Bayesian reconstruction of cancer phylogenies from bulk sequencing.

MOTIVATION: Cancer is driven by somatic mutations that result in the expansion of genomically distinct sub-populations of cells called clones. Identifying the clonal composition of tumours and understanding the evolutionary relationships between clones is a crucial task in cancer genomics. Bulk DNA sequencing is commonly used for studying the clonal composition of tumours, but it is challenging to infer the genetic relationship between different clones due to the mixture of different cell populations. RESULTS: In this work, we introduce a new probabilistic model called PhyClone that can infer clonal phylogenies from bulk-sequencing data. We demonstrate the performance of PhyClone on simulated and real-world datasets and show that it outperforms previous methods in terms of accuracy and sample scalability. AVAILABILITY AND IMPLEMENTATION: Source code is available on Github at: https://github.com/Roth-Lab/PhyClone under the GPL v3.0 license.

Neoplasms↗

Higher plant-like subunit composition of mitochondrial complex I from Chlamydomonas reinhardtii: 31 conserved components among eukaryotes.

The rotenone-sensitive NADH:ubiquinone oxidoreductase (complex I) is the most intricate membrane-bound enzyme of the mitochondrial respiratory chain. Notably the bovine enzyme comprises up to 46 subunits, while 27 subunits could be considered as widely conserved among eukaryotic complex I. By combining proteomic and genomic approaches, we characterized the complex I composition from the unicellular green alga Chlamydomonas reinhardtii. After purification by blue-native polyacrylamide gel electrophoresis (BN-PAGE), constitutive subunits were analyzed by SDS-PAGE coupled to tandem mass spectrometry (MS) that allowed the identification of 30 proteins. We compared the known complex I components from higher plants, mammals, nematodes and fungi with this MS data set and the translated sequences from the algal genome project. This revealed that the Chlamydomonas complex I is likely composed of 42 proteins, for a total molecular mass of about 970 kDa. In addition to the 27 typical components, we have identified four new complex I subunit families (bovine ESSS, PFFD, B16.6, B12 homologues), extending the number of widely conserved eukaryote complex I components to 31. In parallel, our analysis showed that a variable number of subunits appears to be specific to each eukaryotic kingdom (animals, fungi or plants). Protein sequence divergence in these kingdom-specific sets is significant and currently we cannot exclude the possibility that homology between them exists, but has not yet been detected.

Amino Acid Sequence↗