Molecular cloning of a cDNA encoding mouse DNA helicase B, which has homology to Escherichia coli RecD protein, and identification of a mutation in the DNA helicase B from tsFT848 temperature-sensitive DNA replication mutant cells

DNA helicase B is a major DNA helicase in mouse FM3A cells. A temperature-sensitive mutant defective in DNA replication, tsFT848, isolated from FM3A cells, has a heat-labile DNA helicase B. In this study, we purified DNA helicase B from mouse FM3A cells and determined partial amino acid sequences of the purified protein. By using a DNA probe synthesized according to one of the partial amino acid sequences, a cDNA was isolated, which encoded a 121.5 kDa protein containing seven conserved motifs for DNA/RNA helicase superfamily members. A database search revealed similarity between DNA helicase B and the α subunit of exodeoxyribonuclease V of a number of prokaryotes including Escherichia coli RecD protein, but no homologous protein was found in yeast. The cDNA encoding DNA helicase B from tsFT848 was sequenced and a mutation was found between DNA/RNA helicase motifs IV and V.     

Development of the SeqCode: A proposed nomenclatural code for uncultivated prokaryotes with DNA sequences as type

Over the last fifteen years, genomics has become fully integrated into prokaryotic systematics. The genomes of most type strains have been sequenced, genome sequence similarity is widely used for delineation of species, and phylogenomic methods are commonly used for classification of higher taxonomic ranks. Additionally, environmental genomics has revealed a vast diversity of as-yet-uncultivated taxa. In response to these developments, a new code of nomenclature, the Code of Nomenclature of Prokaryotes Described from Sequence Data (SeqCode), has been developed over the last two years to allow naming of Archaea and Bacteria using DNA sequences as the nomenclatural types. The SeqCode also allows naming of cultured organisms, including fastidious prokaryotes that cannot be deposited into culture collections. Several simplifications relative to the International Code of Nomenclature of Prokaryotes (ICNP) are implemented to make nomenclature more accessible, easier to apply and more readily communicated. By simplifying nomenclature with the goal of a unified classification, inclusive of both cultured and uncultured taxa, the SeqCode will facilitate the naming of taxa in every biome on Earth, encourage the isolation and characterization of as-yet-uncultivated taxa, and promote synergies between the ecological, environmental, physiological, biochemical, and molecular biological disciplines to more fully describe prokaryotes.     

Gene structure conservation aids similarity based gene prediction

One of the primary tasks in deciphering the functional contents of a newly sequenced genome is the identification of its protein coding genes. Existing computational methods for gene prediction include ab initio methods which use the DNA sequence itself as the only source of information, comparative methods using multiple genomic sequences, and similarity based methods which employ the cDNA or protein sequences of related genes to aid the gene prediction. We present here an algorithm implemented in a computer program called Projector which combines comparative and similarity approaches. Projector employs similarity information at the genomic DNA level by directly using known genes annotated on one DNA sequence to predict the corresponding related genes on another DNA sequence. It therefore makes explicit use of the conservation of the exon–intron structure between two related genes in addition to the similarity of their encoded amino acid sequences. We evaluate the performance of Projector by comparing it with the program Genewise on a test set of 491 pairs of independently confirmed mouse and human genes. It is more accurate than Genewise for genes whose proteins are <80% identical, and is suitable for use in a combined gene prediction system where other methods identify well conserved and non-conserved genes, and pseudogenes.     

Diversity of CRISPR-Cas-mediated mechanisms of adaptive immunity in prokaryotes and their application in biotechnology

CRISPR-Cas systems of adaptive immunity in prokaryotes consist of CRISPR arrays (clusters of short repeated genomic DNA fragments separated by unique spacer sequences) and cas (CRISPR-associated) genes that provide cells with resistance against bacteriophages and plasmids containing protospacers, i.e. sequences complementary to CRISPR array spacers. CRISPR-Cas systems are responsible for two different cellular phenomena: CRISPR adaptation and CRISPR interference. CRISPR adaptation is cell genome modification by integration of new spacers that represents a unique case of Lamarckian inheritance. CRISPR interference involves specific recognition of protospacers in foreign DNA followed by introduction of breaks into this DNA and its destruction. According to the mechanisms of action, CRISPR-Cas systems have been subdivided into two classes, five types, and numerous subtypes. The development of techniques based on CRISPR interference mediated by the Type II system Cas9 protein has revolutionized the field of genome editing because it allows selective, efficient, and relatively simple introduction of directed breaks into target DNA loci. However, practical applications of CRISPR-Cas systems are not limited only to genome editing. In this review, we focus on the variety of CRISPR interference and CRISPR adaptation mechanisms and their prospective use in biotechnology.     

CVTree: A Parallel Alignment-free Phylogeny and Taxonomy Tool Based on Composition Vectors of Genomes

Composition Vector Tree (CVTree) is an alignment-free algorithm to infer phylogenetic relationships from genome sequences. It has been successfully applied to study phylogeny and taxonomy of viruses, prokaryotes, and fungi based on the whole genomes, as well as chloroplast genomes, mitochondrial genomes, and metagenomes. Here we presented the standalone software for the CVTree algorithm. In the software, an extensible parallel workflow for the CVTree algorithm was designed. Based on the workflow, new alignment-free methods were also implemented. And by examining the phylogeny and taxonomy of 13,903 prokaryotes based on 16S rRNA sequences, we showed that CVTree software is an efficient and effective tool for studying phylogeny and taxonomy based on genome sequences. The code of CVTree software can be available at https://github.com/ghzuo/cvtree.     

Relevance of phenotypic information for the taxonomy of not-yet-cultured microorganisms

To date, far less than 1% of the estimated global species of Bacteria and Archaea have been described and their names validly published. Aside from these quantitative limitations, our understanding of phenotypic and functional diversity of prokaryotes is also highly biased as not a single species has been described for 85 of the 118 phyla that are currently recognized. Due to recent advances in sequencing technology and capacity, metagenomic datasets accumulate at an increasing speed and new bacterial and archaeal genome sequences become available at a faster rate than newly described species. The growing gap between the diversity of Bacteria and Archaea held in pure culture and that detected by molecular methods has led to the proposal to establish a formal nomenclature for not-yet-cultured taxa primarily based on sequence information. According to this proposal, the concept of Candidatus species would be extended to groups of closely related genome sequences and their names validly published following established rules of bacterial nomenclature. The corresponding sequences would be deposited in public databases as the type. The suggested alterations of the International Code of Nomenclature of Prokaryotes raise concerns regarding (1) the reliability and stability of nomenclature, (2) the technological and conceptual limitations as well as availability of reference genomes, (3) the information content of in silico functional predictions, and (4) the recognition of evolutionary units of microbial diversity. These challenges need to be overcome to arrive at a meaningful taxonomy of not-yet-cultured prokaryotes with so far poorly understood phenotypes.     

Cloning and characterization of a DNA polymerase β gene from Trypanosoma cruzi

A gene coding for a DNA polymerase β from the Trypanosoma cruzi Miranda clone, belonging to the TcI lineage, was cloned (Miranda Tcpolβ), using the information from eight peptides of the T. cruzi β-like DNA polymerase purified previously. The gene encodes for a protein of 403 amino acids which is very similar to the two T. cruzi CL Brener (TcIIe lineage) sequences published, but has three different residues in highly conserved segments. At the amino acid level, the identity of TcI-polβ with mitochondrial polβ and polβ-PAK from other trypanosomatids was between 68–80% and 22–30%, respectively. Miranda Tc-polβ protein has an N-terminal sequence similar to that described in the mitochondrial Crithidia fasciculata polβ, which suggests that the TcI-polβ plays a role in the organelle. Northern and Western analyses showed that this T. cruzi gene is highly expressed both in proliferative and non-proliferative developmental forms. These results suggest that, in addition to replication of kDNA in proliferative cells, this enzyme may have another function in non-proliferative cells, such as DNA repair role similar to that which has extensively been described in a vast spectrum of eukaryotic cells.     

On the recombinational origin of protein-sequence-subunit structure

Since 1929 the concept that proteins are built from subunits of certain standard size (Svedberg 1929) has been revisited several times, each time with a new demonstration that, indeed, there are certain preferred protein sizes. According to recent estimates the overrepresented sizes are close to multiples of 125 amino acid (aa) residues for eukaryotes and 150 residues for prokaryotes. To explain these preferences, a hypothesis is suggested, and quantitatively developed, on the recombinational nature of this regularity. The protein-coding sequences are assumed to evolve at some early stage via recombinational events—insertions of DNA circles of a certain optimal size. The contour lengths of the protein-coding DNA circles had to be simultaneously divisible by three and, to minimize torsional constraint, by the DNA helical repeat. With these two conditions satisfied, the calculated contour lengths of the DNA circles, 250–500 base pairs (bp), turn out to correspond well to known optimal DNA circularization sizes and to the predicted range of the protein sequence subunit sizes: 80–170 as residues, which covers experimentally observed values. The subunit size is found to be strongly influenced by the helical repeat of DNA. The sizes 125 and 150 as are derived when the corresponding helical repeats of DNA are set within fractions of promilles from the 10.54 by/turn value. This fits to the experimentally estimated mean for natural mixed DNA sequences, 10.53–10.57 by/turn. The suggested recombinational mechanism thus not only gives a qualitative explanation for the observed underlying order in the protein sequences but also quantitatively links the observed protein sequence sizes with the optimal DNA circularization size and with the helical repeat of DNA. It also offers a versatile molecular model of early protein evolution by fusion and insertion of preexisting proteins of standard subunit sizes.     

A fractal method to distinguish coding and non-coding sequences in a complete genome based on a number sequence representation

A fractal method to distinguish coding and non-coding sequences in a complete genome is proposed, based on different statistical behaviors between these two kinds of sequences. We first propose a number sequence representation of DNA sequences. Multifractal analysis is then performed on the measure representation of the obtained number sequence. The three exponents C(-1), C1 and C2 are selected from the result of multifractal analysis. Each DNA may be represented by a point in the three-dimensional space generated by these three-component vectors. It is shown that points corresponding to coding and non-coding sequences in the complete genome of many prokaryotes are roughly distributed in different regions. Fisher's discriminant algorithm can be used to separate these two regions in the spanned space. If the point (C(-1),C1,C2) for a DNA sequence is situated in the region corresponding to coding sequences, the sequence is discriminated as a coding sequence; otherwise, the sequence is classified as a non-coding one. For all 51 prokaryotes we considered , the average discriminant accuracies pc,pnc,qc and qnc reach 72.28%, 84.65%, 72.53% and 84.18%, respectively.     

RibAlign: a software tool and database for eubacterial phylogeny based on concatenated ribosomal protein subunits

Background  

Until today, analysis of 16S ribosomal RNA (rRNA) sequences has been the de-facto gold standard for the assessment of phylogenetic relationships among prokaryotes. However, the branching order of the individual phlya is not well-resolved in 16S rRNA-based trees. In search of an improvement, new phylogenetic methods have been developed alongside with the growing availability of complete genome sequences. Unfortunately, only a few genes in prokaryotic genomes qualify as universal phylogenetic markers and almost all of them have a lower information content than the 16S rRNA gene. Therefore, emphasis has been placed on methods that are based on multiple genes or even entire genomes. The concatenation of ribosomal protein sequences is one method which has been ascribed an improved resolution. Since there is neither a comprehensive database for ribosomal protein sequences nor a tool that assists in sequence retrieval and generation of respective input files for phylogenetic reconstruction programs, RibAlign has been developed to fill this gap.     

Plant and fungal Fpg homologs are formamidopyrimidine DNA glycosylases but not 8-oxoguanine DNA glycosylases

Formamidopyrimidine DNA glycosylase (Fpg) and endonuclease VIII (Nei) share an overall common three-dimensional structure and primary amino acid sequence in conserved structural motifs but have different substrate specificities, with bacterial Fpg proteins recognizing formamidopyrimidines, 8-oxoguanine (8-oxoG) and its oxidation products guanidinohydantoin (Gh), and spiroiminodihydantoin (Sp) and bacterial Nei proteins recognizing primarily damaged pyrimidines. In addition to bacteria, Fpg has also been found in plants, while Nei is sparsely distributed among the prokaryotes and eukaryotes. Phylogenetic analysis of Fpg and Nei DNA glycosylases demonstrated, with 95% bootstrap support, a clade containing exclusively sequences from plants and fungi. Members of this clade exhibit sequence features closer to bacterial Fpg proteins than to any protein designated as Nei based on biochemical studies. The Candida albicans (Cal) Fpg DNA glycosylase and a previously studied Arabidopsis thaliana (Ath) Fpg DNA glycosylase were expressed, purified and characterized. In oligodeoxynucleotides, the preferred glycosylase substrates for both enzymes were Gh and Sp, the oxidation products of 8-oxoG, with the best substrate being a site of base loss. GC/MS analysis of bases released from γ-irradiated DNA show FapyAde and FapyGua to be excellent substrates as well. Studies carried out with oligodeoxynucleotide substrates demonstrate that both enzymes discriminated against A opposite the base lesion, characteristic of Fpg glycosylases. Single turnover kinetics with oligodeoxynucleotides showed that the plant and fungal glycosylases were most active on Gh and Sp, less active on oxidized pyrimidines and exhibited very little or no activity on 8-oxoG. Surprisingly, the activity of AthFpg1 on an AP site opposite a G was extremely robust with a k_obs of over 2500 min^?1.     

fastDNAml: a tool for construction of phylogenetic trees of DNA sequences using maximum likelihood

We have developed a new tool, called fastDNAml, for constructingphylogenetic trees from DNA sequences. The program can be runon a wide variety of computers ranging from Unix workstationsto massively parallel systems, and is available from the RibosomalDatabase Project (RDP) by anonymous FTP. Our program uses amaximum likelihood approach and is based on version 3.3 of Felsenstein'sdnaml program. Several enhancements, including algorithmic changes,significantly improve performance and reduce memory usage, makingit feasible to construct even very large trees. Trees containing40–100 taxa have been easily generated, and phylogeneticestimates are possible even when hundreds of sequences exist.We are currently using the tool to construct a phylogenetictree based on 473 small subunit rRNA sequences from prokaryotes.     

Genome size and the proportion of repeated nucleotide sequence DNA in plants

The reannealing kinetics of denatured DNA fragments from 23 species of higher plants have been studied, using hydroxylapatite chromatography to distinguish reannealed from single-stranded DNA. The 2C nuclear DNA contents of the species varied between 1.7 and 98 pg. The proportions of DNA in species with a nuclear DNA mass above 5 pg that reannealed with the kinetics of sequences present in more than 100 copies were high (69–92% with a mean of 80±2.0%). For species with less than 4 pg of DNA, the mean proportion of repeated-sequence DNA was 62±2.9%. It is concluded that most of the variation in nuclear DNA mass in higher plant chromosomes can be accounted for by variation in repeated-sequence DNA. The consequences of altering the adapted DNA content of a species by the addition of families of repeated sequences are discussed in relation to the proportion of repeated-sequence DNA.