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Genomic DNAs of ureaplasma strains isolated from dogs were analyzed by restriction endonucleases. The cleavage patterns revealed by agarose gel electrophoresis, which were characteristic for each strain examined, may provide a direct indication for the genomic index among ureaplasma strains, and can be used as an epidemiological marker in ureaplasma infections.
BACKGROUND: Current structural genomics projects are being driven by two main goals; to produce a representative set of protein folds that could be used as templates for comparative modeling purposes, and to provide insight into the function of the currently unannotated protein sequences. Such projects may reveal that a newly determined protein structure shares structural similarity with a previously observed structure or that it is a novel fold. The manner in which structure can be used to suggest the function of a protein will depend on the number and diversity of homologous sequences and the extent to which these sequences are functionally characterized. METHOD AND RESULTS: Using sequence searching methods, we analyzed structural genomics target sequences to ascertain if they were members of functionally characterized protein families, protein families of unknown function, or orphan sequences. This analysis provided an indication of what could be expected to emerge from structural genomics projects. Matches were found to approximately 25% of the current functionally unannotated protein families in the PFAM database (protein families database of alignments and hidden Markov models). The 16% of strict orphan sequences will be the most problematic if their structures reveal novel folds. However, out of the remaining target sequences that match families whose members are largely of unknown function, 28% are particularly interesting in that they are part of protein families with considerable sequence diversity. CONCLUSION: The determination of a new structure of a member of these families is likely to offer considerable insight into possible functional roles of these proteins even if it is a new fold. Mapping the sequence conservation onto the structure may reveal functionally important residues for further study by experimental methods.
The emergence of antibiotic-resistant bacteria often causes serious clinical problems. The TetR family is one of the major transcription factor families that regulate expression of genes involved in bacterial antimicrobial resistance systems. CGL2612 protein is a transcription factor newly identified by genomic DNA analysis on Corynebacterium glutamicum, which belongs to the mycolic acid-containing Actinomycetales, including the well known pathogens Corynebacterium diphtheriae and Mycobacterium tuberculosis. Crystal structure analysis showed that the CGL2612 protein exhibits significant structural similarity to the multidrug resistance (MDR)-related transcription factor QacR from Staphylococcus aureus, despite poor amino acid sequence similarity between these proteins. Binding DNA sequence analysis of CGL2612 protein using the systematic evolution of ligands by the exponential enrichment (systematic evolution of ligands by exponential enrichment, or SELEX) method revealed that this protein is a new member of the TetR family, which regulates expression of the immediately upstream gene, cgl2611, probably encoding a major facilitator superfamily permease. Subsequent functional analyses confirmed a function of the CGL2612 as a transcriptional repressor responsible for the antimicrobial resistance system in C. glutamicum. The strategy used in the present study is one of the most convenient and powerful methods to analyze functionally unknown transcription factors, and the results obtained here will contribute to our understanding of the drug resistance mechanism not only in C. glutamicum but also in the related bacteria, C. diphtheriae and M. tuberculosis.
BACKGROUND: Whole-genome amplification of minute samples of DNA for the use in comparative genomic hybridization (CGH) analysis has found widespread use, but the method has not been well validated. METHODS: Four protocols for degenerate oligonucleotide primed polymerase chain reaction (DOP-PCR) and fluorescence labeling were applied to test DNA from normal and K-562 cells. The DNA products were used for CGH analysis. RESULTS: The DOP-PCR-amplified DNA from each protocol produced hybridizations with different qualities. These could be seen primarily as differences in background staining and signal-to-noise ratios, but also as characteristic deviations of normal/normal hybridizations. One DOP-PCR-protocol was further investigated. We observed concordance between CGH results using unamplified and DOP-PCR-amplified DNA. An example of an analysis of an invasive carcinoma of the breast supports the practical value of this approach. CONCLUSIONS: DOP-PCR-amplified DNA is applicable for high- resolution CGH, the results being similar to those of CGH using unamplified DNA.
Cytogenetic information on chordomas is rudimentary and restricted to GTG-banding analysis of 26 cases worldwide. In this study, we present the chromosomal imbalances detected in a series of 16 chordomas (10 sacrococcyeal, five sphenooccipital, and one spinal) from 13 patients using comparative genomic hybridization (CGH) and fluorescence in situ hybridization (FISH). On average, 3.2 losses and 4.2 gains were detected per tumor. The most common DNA copy number alterations were losses on chromosomal arms 3p (50%) and 1p (44%). Losses of 3p were detected in five of seven primary chordomas. Therefore, the loss of 3p might be an early event in chordoma genesis. The most common gains involved 7q (69%), 20 (50%), 5q (38%), and 12q (38%). Additionally, we raised the first human chordoma cell line, U-CH1, from a recurrence of a sacral chordoma. U-CH1 and its parent tumor had almost the same CGH profile. According to GTG-banding and multicolor FISH, U-CH1 has the following clonal chromosomal abnormalities: der(1)t(1;22), del(4), +del(5), +del(6), +7, del(9), del(10), +der(20)t(10;20), +21. Thus, the novel permanent human chordoma cell line U-CH1 has chordoma-typical cytogenetic aberrations. Our data suggest that tumor suppressor genes or mismatch repair genes (located at 1p31 and 3p14) and oncogenes (located in 7q36) might be involved in chordoma genesis.
African Swine Fever Virus (ASFV) is of high concern in porcine livestock across the world due to both the high mortality rates and the trade restrictions imposed on affected regions. The viral genome is large and complex, and genomic analysis is essential for tracing its origin and evolution. Although several bioinformatics tools exist for genome assembly and analysis, no single platform integrates all necessary steps in an accessible and systematic way. In this study the authors developed 'PePApipe', a custom-built, user-friendly pipeline that enables rapid, complete, and efficient ASFV genome analysis. It is specifically designed for laboratory professionals with limited bioinformatics experience, requiring only basic command-line knowledge. Starting from raw sequencing data, PePApipe integrates thirteen software tools into one automated workflow, covering quality control and pre-processing of raw reads, de novo genome assembly and variant calling. Programmed in Python, it can be executed locally through bash scripts, or using a Slurm protocol for batch processing of multiple samples. The main outputs are the ASFV consensus genome sequence and a file listing its putative variants compared to the selected reference genome. PePApipe classifies generated files into structured folders and produces intermediate files that can be used as inputs for further or parallel analyses; users can also enable or disable specific steps in each particular case. This pipeline is adaptable and complementary to downstream steps such as viral genome annotation or genome visualization. By consolidating all stages of viral genome analysis into a single automated workflow, PePApipe reduces the likelihood of user error, and enhances reproducibility and efficiency. This user-friendly pipeline facilitates the transition from sequencing to assembly and downstream analysis of viral genomes, ensuring a fast and reliable response to molecular analysis demands. Finally, the pipeline can be easily adapted to the study of other viral species, expanding its application in infectious diseases surveillance.
The paired-end ditagging (PET) technique has been shown to be efficient and accurate for large-scale transcriptome and genome analysis. However, as with other DNA tag-based sequencing strategies, it is constrained by the current efficiency of Sanger technology. A recently developed multiplex sequencing method (454-sequencing) using picolitre-scale reactions has achieved a remarkable advance in efficiency, but suffers from short-read lengths, and a lack of paired-end information. To further enhance the efficiency of PET analysis and at the same time overcome the drawbacks of the new sequencing method, we coupled multiplex sequencing with paired-end ditagging (MS-PET) using modified PET procedures to simultaneously sequence 200,000 to 300,000 dimerized PET (diPET) templates, with an output of nearly half-a-million PET sequences in a single 4 h machine run. We demonstrate the utility and robustness of MS-PET by analyzing the transcriptome of human breast carcinoma cells, and by mapping p53 binding sites in the genome of human colorectal carcinoma cells. This combined sequencing strategy achieved an approximate 100-fold efficiency increase over the current standard for PET analysis, and furthermore enables the short-read-length multiplex sequencing procedure to acquire paired-end information from large DNA fragments.
Genomic instability plays a major role in cancer by facilitating tumor progression and tumor heterogeneity. Inter-simple sequence repeat (inter-SSR) PCR has been developed to provide a rapid and reproducible technique for quantitation of the major type of genomic instability observed in sporadic tumors, namely, that manifesting itself as amplifications, deletions, translocations, and insertions. Evaluation of 59 sporadic colorectal cancers by inter-SSR PCR has demonstrated a wide range of instability, independent of tumor stage at diagnosis. Comparison of these data and the results of microsatellite PCR analysis reveals an association of high genomic instability with loss of heterozygosity but no association with the replication error phenomenon arising from defects in mismatch repair.
Genomic Representational Difference Analysis (gRDA) is a subtractive DNA method to clone the differences between two related genomes, called tester and driver. We have evaluated this method to obtain polymorphic DNA markers for pedigree dogs. Amplified size-selected genomic restriction fragments (amplicons) of two dog littermates were repeatedly hybridized to each other in order to remove (subtract) those restriction fragments common to both sibs. Already after two rounds of subtractive hybridization, a clear enrichment of presumably tester-specific restriction fragments was observed, which was even more pronounced after the third round of subtraction. A plasmid library of 3000 recombinant clones was constructed of the second round and of the third round difference product. DNA sequence determination of randomly chosen clones of each difference product showed that approximately 1000 unique clones were obtained in the second-round difference product and approximately 500 in the third-round difference product. About half of the clones identified in the second-round difference product were also present in the third-round difference product. Of the second-round difference product, 39 different gRDA fragments could be identified, of which 21 were tester specific. In the third-round difference product, 22 different gRDA fragments were identified, of which 18 were tester specific. There were 13 fragments in common, resulting in a total of 48 different fragments. In order to establish the localization of these markers, we performed mapping using the dog radiation hybrid panel RHDF5000. Of 39 mapped clones, 29 were mapped to 20 existing RH groups, and 10 remained unlinked. It is concluded that gRDA is suitable to generate DNA markers to track disease genes within lines of pedigree dogs.
Malignant cell transformation results from multiple biological alterations including chromosomal abnormalities, oncogene activation, loss of suppressor gene function and a imbalance in cell regulating processes. The aim of our study was to combine gene expression and genomic analysis to evaluate the cellular phenotype of a chondrosarcoma cell line, which is potentially a useful in vitro model system for physiological and/or neoplastic chondrocytes. cDNA-array, quantitative PCR and comparative genomic hybridization (CGH) technologies were used to analyze gene expression profiles of chondrosarcoma cell line FSCP-1 in correlation to changes of DNA copy number on corresponding chromosomal sections. Gene expression analysis revealed similarities, but also great differences in between the chondrosarcoma cell line and physiological chondrocytes. In particular the proliferative activity was up-regulated and molecules involved in matrix synthesis and turnover down-regulated. CGH analysis revealed a heterogeneous pattern of DNA gains or losses. The c-myc oncogene, located on 8q24.12-q24.13, was the only gene with a marked up-regulation located on a chromosome section with a gain of DNA copy number. The inability of the chondrosarcoma cell line FSCP-1 to maintain an adequate matrix turnover as well as a notable proliferative activity is similar to neoplastic chondrosarcoma in vivo. The limited correlation between the CGH analysis and the gene expression pattern supports the notion that also in neoplastic cells most genes are not primarily regulated by the gene dosage, but by cellular regulation pathways. However, genes such as c-myc might represent significant exceptions potentially relevant for the clinico-biological behavior of the neoplasms.
Gene targeting in mouse embryonic stem cells has become the 'gold standard' for determining gene function in mammals. Since its inception, this technology has revolutionized the study of mammalian biology and human medicine. Here I provide a personal account of the work that led to the generation of gene targeting which now lies at the centre of functional genomic analysis.
Higher eukaryotic genomes, including those from plants, contain large amounts of repetitive DNA that complicate genome analysis. We have developed a technique based on DNA renaturation which normalizes repetitive DNA, and thereby allows a more efficient outcome for full genome shotgun sequencing. The data indicate that sequencing the unrenatured outcome of a Cot experiment, otherwise known as High-Cot DNA, enriches genic sequences by more than fourfold in maize, from 5% for a random library to more than 20% for a High-Cot library. Using this approach, we predict that gene discovery would be greater than 95% and that the number of sequencing runs required to sequence the full gene space in maize would be at least fourfold lower than that required for full-genome shotgun sequencing.
Known transcription regulatory signals which generally act as transcription factor binding sites (TFs) differ significantly in their base composition. Therefore, their occurrence in a genome largely depends on the local base composition. In an attempt to initiate an all human genome analysis for the occurrence of potential TFs, we systematically analyzed the GC-content of distinct functional regions (e. g., upstream and downstream gene regions, exons, long and short introns, repetitive elements) and correlated the frequencies of potential binding sites of a representative set of TFs in these regions. For these analyses, we used the pattern collection of the TRANSFAC database on transcriptional regulation, the information about functionally relevant combinations of them from the database TRANSCompel, and our new resource, TRANSGenomeTM, which provides an overall annotation of the human genome with emphasis on its regulatory characteristics. We show that the occurrence of sequence patterns with regulatory potential may be supported by, but cannot be fully explained by either the GC content of a whole chromosome or its putative promoter regions, nor by the information content of the patterns. Several patterns, HNF-3, NFAT, and GC box, show a clear overrepresentation in all promoter groups as well as in all chromosomes. Other patterns, like E2F and CRE-BP1, are underrepresented in all promoter groups as well as in all chromosomes in comparison with random sequences. Simultaneously, both patterns are over-represented in promoters in comparison with repetitive elements. We define several structural characteristics of the proximal promoters that differentiate them from other functional genomic regions. Two well-known promoter elements, GC- and TATA-boxes, are statistically enriched in promoters in comparison with random sequences, repetitive elements and exons. Altogether, our findings provide insights into the macroheterogeneity amongst the individual chromosomes, into the microheterogeneity among different functional regions of individual chromosomes, contribute to further understanding of structural organization of gene regulatory regions, and give first hints on the development of regulatory features during evolution.
The identification of chromosomal and episomal origins of replication in the genome of the causative agent of Lyme disease, the spirochete Borrelia burgdorferi, has been greatly facilitated by genomics. Analysis of genome features, including strand compositional asymmetries, organizational similarities to other bacterial origins of replication, and the presence of homologues of genes involved in replication and partitioning, have contributed to the identification of a collection of putative origins of replication within the Borrelia genome. This analysis has provided the basis for the experimental verification of origins in the linear chromosome and in the linear plasmid Ip28-2. Information generated during the study of these origins will significantly contribute to the understanding of the mechanisms of replication and partitioning in Borrelia.
MOTIVATION: The discovery of novel biological knowledge from the ab initio analysis of post-genomic data relies upon the use of unsupervised processing methods, in particular clustering techniques. Much recent research in bioinformatics has therefore been focused on the transfer of clustering methods introduced in other scientific fields and on the development of novel algorithms specifically designed to tackle the challenges posed by post-genomic data. The partitions returned by a clustering algorithm are commonly validated using visual inspection and concordance with prior biological knowledge--whether the clusters actually correspond to the real structure in the data is somewhat less frequently considered. Suitable computational cluster validation techniques are available in the general data-mining literature, but have been given only a fraction of the same attention in bioinformatics. RESULTS: This review paper aims to familiarize the reader with the battery of techniques available for the validation of clustering results, with a particular focus on their application to post-genomic data analysis. Synthetic and real biological datasets are used to demonstrate the benefits, and also some of the perils, of analytical clustervalidation. AVAILABILITY: The software used in the experiments is available at http://dbkweb.ch.umist.ac.uk/handl/clustervalidation/. SUPPLEMENTARY INFORMATION: Enlarged colour plots are provided in the Supplementary Material, which is available at http://dbkweb.ch.umist.ac.uk/handl/clustervalidation/.
One potential approach for characterizing uncultivated prokaryotes from natural assemblages involves genomic analysis of DNA fragments retrieved directly from naturally occurring microbial biomass. In this study, we sought to isolate large genomic fragments from a widely distributed and relatively abundant but as yet uncultivated group of prokaryotes, the planktonic marine Archaea. A fosmid DNA library was prepared from a marine picoplankton assemblage collected at a depth of 200 m in the eastern North Pacific. We identified a 38.5-kbp recombinant fosmid clone which contained an archaeal small subunit ribosomal DNA gene. Phylogenetic analyses of the small subunit rRNA sequence demonstrated it close relationship to that of previously described planktonic archaea, which form a coherent group rooted deeply within the Crenarchaeota branch of the domain Archaea. Random shotgun sequencing of subcloned fragments of the archaeal fosmid clone revealed several genes which bore highest similarity to archaeal homologs, including large subunit ribosomal DNA and translation elongation factor 2 (EF2). Analyses of the inferred amino acid sequence of archaeoplankton EF2 supported its affiliation with the Crenarchaeote subdivision of Archaea. Two gene fragments encoding proteins not previously found in Archaea were also identified: RNA helicase, responsible for the ATP-dependent alteration of RNA secondary structure, and glutamate semialdehyde aminotransferase, an enzyme involved in initial steps of heme biosynthesis. In total, our results indicate that genomic analysis of large DNA fragments retrieved from mixed microbial assemblages can provide useful perspective on the physiological potential of abundant but as yet uncultivated prokaryotes.
The increasing number of complete and nearly complete metazoan genome sequences provides a significant amount of material for large-scale comparative genomic analysis. Finding new effective methods to analyse such enormous datasets has been the object of intense research. Three main areas in comparative genomics have recently shown important developments: whole-genome alignment, gene prediction and regulatory-region prediction. Each of these areas improves the methods of deciphering long genomic sequences and uncovering what lies hidden in them.
We have developed a multiplex method of genome analysis, restriction landmark genomic scanning (RLGS) that has been used to construct genetic maps in mice. Restriction landmarks are end-labeled restriction fragments of genomic DNA that are separated by using high resolution, two-dimensional gel electrophoresis identifying as many as two thousand landmark loci in a single gel. Variation for several hundred of these loci has been identified between laboratory strains and between these strains and Mus spretus. The segregation of more than 1100 RLGS loci has been analyzed in recombinant inbred (RI) strains and in two separate interspecific genetic crosses. Genetic maps have been derived that link 1045 RLGS loci to reference loci on all of the autosomes and the X chromosome of the mouse genome. The RLGS method can be applied to genome analysis in many different organisms to identify genomic loci because it uses end-labeling of restriction landmarks rather than probe hybridization. Different combinations of restriction enzymes yield different sets of RLGS loci providing expanded power for genetic mapping.