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Macrolide resistance and erythromycin resistance determinants among Belgian Streptococcus pyogenes and Streptococcus pneumoniae isolates.

Resistance of streptococci to macrolide antibiotics is caused by target-site modification or drug efflux. The phenotypic expression of target-site modification can be inducible or constitutive. The prevalence of the three phenotypes among Belgian erythromycin-resistant Group A streptococci (GAS) and Streptococcus pneumoniae isolates was surveyed, their MICs for seven antibiotics were determined and the clonality of the isolates was explored. Of the 2014 GAS isolates tested 131(6.5%) were erythromycin resistant (MIC > 1 mg/L): 110 (84.0%) showed the M-resistance phenotype whereas the remaining 21 strains (16.0%) were constitutively resistant. No inducibly resistant strains were detected. Of 100 S. pneumoniae isolates, 33 were erythromycin resistant (MIC > 1 mg/L). In contrast to the GAS isolates, only 9.1% of the 33 erythromycin-resistant S. pneumoniae isolates showed the M-resistance phenotype. The presence of mefA/E and ermB genes in the M-resistant and constitutively and inducibly resistant strains, respectively, was confirmed by PCR analysis. Genomic analysis based on pulsed-field gel electrophoresis (PFGE) using the restriction enzyme SfiI, revealed 54 different PFGE patterns among the 131 erythromycin-resistant GAS isolates, of which an M6 clone represented 16.0% of the strains; all other clones, exhibiting different M-types, represented <7% of the strains. The S. pneumoniae isolates also appeared to be polyclonally based, as determined by arbitrarily primed PCR. The macrolides miocamycin and rovamycin, the lincosamide clindamycin and the ketolide HMR 3647 showed excellent activity against the M-resistant GAS and S. pneumoniae strains.

Anti-Bacterial Agents↗

Reexamination of the genome size of myxobacteria, including the use of a new method for genome size analysis.

The genome sizes of two myxobacteria, Myxococcus xanthus and Stigmatella aurantiaca, were measured by renaturation analysis and also by a new method involving the quantitation of individual restriction fragments. In contrast to several previous reports, which indicate that M. xanthus has a genome size which is three to four times that of Escherichia coli, the present measurements indicated that the M. xanthus genome is only about 24 to 53% larger than that of E. coli. S. aurantiaca had a genome size nearly identical to that of M. xanthus. Of possible significance is the fact that the renaturation curves of M. xanthus and S. aurantiaca deoxyribonucleic acid both exhibited significant fractions which renatured with rapid, unimolecular kinetics. However, we were unable to establish that these fractions represented inverted repeats of repetitive sequences.

Chromosomes, Bacterial↗

Genome-tools: a flexible package for genome sequence analysis.

Genome-tools is a Perl module, a set of programs, and a user interface that facilitates access to genome sequence information. The package is flexible, extensible, and designed to be accessible and useful to both nonprogrammers and programmers. Any relatively well-annotated genome available with standard GenBank genome files may be used with genome-tools. A simple Web-based front end permits searching any available genome with an intuitive interface. Flexible design choices also make it simple to handle revised versions of genome annotation files as they change. In addition, programmers can develop cross-genomic tools and analyses with minimal additional overhead by combining genome-tools modules with newly written modules. Genome-tools runs on any computer platform for which Perl is available, including Unix, Microsoft Windows, and Mac OS. By simplifying the access to large amounts of genomic data, genome-tools may be especially useful for molecular biologists looking at newly sequenced genomes, for which few informatics tools are available. The genome-tools Web interface is accessible at http://genome-tools.sourceforge.net, and the source code is available at http://sourceforge.net/projects/genome-tools.

Base Sequence↗

Genetic analysis using genomic representations.

Analysis of the genetic changes in human tumors is often problematical because of the presence of normal stroma and the limited availability of pure tumor DNA. However, large amounts of highly reproducible "representations" of tumor and normal genomes can be made by PCR from nanogram amounts of restriction endonuclease cleaved DNA that has been ligated to oligonucleotide adaptors. We show here that representations are useful for many types of genetic analyses, including measuring relative gene copy number, loss of heterozygosity, and comparative genomic hybridization. Representations may be prepared even from sorted nuclei from fixed and archived tumor biopsies.

Blotting, Southern↗

Automatic correction of the interfering effect of unsuppressed interspersed repetitive sequences in comparative genomic hybridization analysis.

Comparative genomic hybridization (CGH) is a relatively new technique whose application is increasing. The method has mostly been employed for detection of chromosome aberrations in cancers, and a large amount of data in this field is accumulating. At the same time, efforts are made to improve the technique in order to increase the sensitivity and the generation of reliable results. Based on experimental data, we have developed a computer algorithm for eliminating some of the interfering effects of unsuppressed repetitive sequences in CGH analysis, and thereby improved our CGH analysis system.

Algorithms↗

Frequent genomic imbalances in chromosomes 17, 19, and 22q in peripheral nerve sheath tumours detected by comparative genomic hybridization analysis.

Comparative genomic hybridization (CGH) was used to detect changes in relative chromosome copy number in 50 cases of peripheral nerve sheath tumour (PNSTs), including nine malignant peripheral nerve sheath tumours (MPNSTs), 27 neurofibromas (with three plexiform neurofibromas) and 14 schwannomas. Chromosome imbalances were frequently detected in benign as well as malignant PNSTs. In both NF1-associated and sporadic MPNSTs, the number of gains was higher than the number of losses, suggesting proto-oncogene activation during MPNST progression. NF1-asociated MPNSTs exhibited gains of chromosomes 17q and X (2/4 cases each), whereas sporadic MPNSTs showed gains of chromosome 4q (3/5 cases). On the other hand, in benign neurofibromas and schwannomas, the number of losses was higher than the number of gains, suggesting a predominant role of tumour suppressor genes in tumourigenesis. Both sporadic and NF1-associated neurofibromas exhibited losses at chromosome 22q in more than 50% of cases. These chromosomal regions may contain common chromosomal abnormalities characteristic of both types of neurofibromas. In NF1-associated neurofibromas, most frequent losses were found in chromosomes 17 [17p11.2-p13 in nine cases (60%); 17q24-25 in 6 cases (40%)] and 19 [19p13.2 in eight cases (53%); 19q13.2-qter in eight cases (53%)], whereas in sporadic neurofibromas and schwannomas losses of chromosomes 17 and 19 were detected in less than 50% of cases. Since this 17p11.2-p13 region is known to contain the tumour suppressor gene TP53, patients with NF1 may be at high risk of malignant neoplasms including MPNSTs. Gains were more frequently detected in plexiform neurofibromas (2/3 cases) than other benign tumours, suggesting proto-oncogene activation in tumourigenesis of plexiform neurofibroma. The significance of the losses of chromosome 19 in these cases is not clear at present, but in NF1-associated neurofibromas, the presence of some as yet unknown tumour suppressor genes on chromosome 19 cannot be ruled out.

Adolescent↗

A direct transposon insertion tool for modification and functional analysis of viral genomes.

Advances in DNA transposition technology have recently generated efficient tools for various types of functional genetic analyses. We demonstrate here the power of the bacteriophage Mu-derived in vitro DNA transposition system for modification and functional characterization of a complete bacterial virus genome. The linear double-stranded DNA genome of Escherichia coli bacteriophage PRD1 was studied by insertion mutagenesis with reporter mini-Mu transposons that were integrated in vitro into isolated genomic DNA. After introduction into bacterial cells by electroporation, recombinant transposon-containing virus clones were identified by autoradiography or visual blue-white screening employing alpha-complementation of E. coli beta-galactosidase. Additionally, a modified transposon with engineered NotI sites at both ends was used to introduce novel restriction sites into the phage genome. Analysis of the transposon integration sites in the genomes of viable recombinant phage generated a functional map, collectively indicating genes and genomic regions essential and nonessential for virus propagation. Moreover, promoterless transposons defined the direction of transcription within several insert-tolerant genomic regions. These strategies for the analysis of viral genomes are of a general nature and therefore may be applied to functional genomics studies in all prokaryotic and eukaryotic cell viruses.

Amino Acid Sequence↗

Primer on medical genomics. Part III: Microarray experiments and data analysis.

Genomics has been defined as the comprehensive study of whole sets of genes, gene products, and their interactions as opposed to the study of single genes or proteins. Microarray technology is one of many novel tools that are allowing global and high-throughput analysis of genes and gene products. In addition to an introduction on underlying principles, the current review focuses on the use of both complementary DNA and oligodeoxynucleotide microarrays in gene expression analysis. Genome-wide experiments generate a massive amount of data points that require systematic methods of analysis to extract biologically useful information. Accordingly, the current educational communication discusses different methods of data analysis, including supervised and unsupervised clustering algorithms. Illustrative clinical examples show clinical applications, including (1) identification of candidate genes or pathological pathways (ie, elucidation of pathogenesis); (2) identification of "new" molecular classes of diseases that may be relevant in disease reclassification, prognostication, and treatment selection (ie, class discovery); and (3) use of expression profiles of known disease classes to predict diagnosis and classification of unknown samples (ie, class prediction). The current review should serve as an introduction to the subject for clinician investigators, physicians and medical scientists in training, practicing clinicians, and other students of medicine.

Breast Neoplasms↗

Comparative analysis of GS and BK virus genomes.

Analysis of heteroduplexing between the genomes of GS virus, a BK-group virus, and the prototype BK virus revealed one region of nonhomology. Further analysis by cleavage of viral DNA with the restriction endonucleases EcoRI, HindIII, and HaeIII revealed that base changes in the GS virus genome spanned 0.6 to 0.7 map unit from the EcoRI site. Large T and small t antigens of GS virus appear to be similar in size to the BK virus antigens.

Antigens, Neoplasm↗

Analysis of the genome of Azotobacter vinelandii revealed the presence of two genetically distinct group II introns on the chromosome.

Azotobacter vinelandii belongs to the y subdivision of eubacteria and has one of the highest respiratory rates. It is considered to be among the probable progenitors of mitochondria. Group II introns were originally identified on organelle genomes. Analysis of the A. vinelandii genome for the presence of group II introns using a deduced group II intron consensus sequence identified two putative introns. The first intron (AVI) which was found to be inserted in the groEL, an essential gene, was already characterized. Our study identified another group II intron (AV2) in A. vinelandii genome. This intron is inserted in a mobile genetic element, similar to most of the group II introns in bacteria, which in this case is a transposase like gene, tnpAl. This putative TnpAl protein is 52% identical to TnpA, the transposase of bacteriophage Lambda, and 85% identical to TnpAl of Pseudomonas stutzeri. Sequence analysis showed that this intron encodes a reverse transcriptase (RT) like motif in domain IV, similar to other group II introns. The RT of this intron open reading frame (ORF) is 53% homologous with that of AVI intron and 66% homologous with that of Pseudomonas putida (Tn5041c) intron. Secondary structure analysis showed that this intron has the typical sub-group IIB1 structure, but the EBS2-IBS2 interaction appears to be missing. Using the RNA generated by in vitro transcription of the intron sequence with its flanking exons, in vitro splicing experiments were performed. It was found that the AV2 intron is functional, despite of lacking the EBS2-IBS2 interaction that plays a role in exon recognition.

Amino Acid Sequence↗

The bioinformatics challenges in comparative analysis of cereal genomes-an overview.

Comparative genomic analysis is the cornerstone of in silico-based approaches to understanding biological systems and processes across cereal species, such as rice, wheat and barley, in order to identify genes of agronomic interest. The size of the genomic repositories is nearly doubling every year, and this has significant implications on the way bioinformatics analyses are carried out. In this overview the concepts and technology underpinning bioinformatics as applied to comparative genomic analysis are considered in the context of other manuscripts appearing in this issue of Functional and Integrative Genomics.

Computational Biology↗

Alfresco--a workbench for comparative genomic sequence analysis.

Comparative analysis of genomic sequences provides a powerful tool for identifying regions of potential biologic function; by comparing corresponding regions of genomes from suitable species, protein coding or regulatory regions can be identified by their homology. This requires the use of several specific types of computational analysis tools. Many programs exist for these types of analysis; not many exist for overall view/control of the results, which is necessary for large-scale genomic sequence analysis. Using Java, we have developed a new visualization tool that allows effective comparative genome sequence analysis. The program handles a pair of sequences from putatively homologous regions in different species. Results from various different existing external analysis programs, such as database searching, gene prediction, repeat masking, and alignment programs, are visualized and used to find corresponding functional sequence domains in the two sequences. The user interacts with the program through a graphic display of the genome regions, in which an independently scrollable and zoomable symbolic representation of the sequences is shown. As an example, the analysis of two unannotated orthologous genomic sequences from human and mouse containing parts of the UTY locus is presented.

Algorithms↗

Functional analysis of gapped microbial genomes: amino acid metabolism of Thiobacillus ferrooxidans.

A gapped genome sequence of the biomining bacterium Thiobacillus ferrooxidans strain ATCC23270 was assembled from sheared DNA fragments (3.2-times coverage) into 1,912 contigs. A total of 2,712 potential genes (ORFs) were identified in 2.6 Mbp (megabase pairs) of Thiobacillus genomic sequence. Of these genes, 2,159 could be assigned functions by using the WIT-Pro/EMP genome analysis system, most with a high degree of certainty. Nine hundred of the genes have been assigned roles in metabolic pathways, producing an overview of cellular biosynthesis, bioenergetics, and catabolism. Sequence similarities, relative gene positions on the chromosome, and metabolic reconstruction (placement of gene products in metabolic pathways) were all used to aid gene assignments and for development of a functional overview. Amino acid biosynthesis was chosen to demonstrate the analytical capabilities of this approach. Only 10 expected enzymatic activities, of the nearly 150 involved in the biosynthesis of all 20 amino acids, are currently unassigned in the Thiobacillus genome. This result compares favorably with 10 missing genes for amino acid biosynthesis in the complete Escherichia coli genome. Gapped genome analysis can therefore give a decent picture of the central metabolism of a microorganism, equivalent to that of a complete sequence, at significantly lower cost.

Amino Acids↗

Genetic structuring and estimation of reproductive adults in Onchocerca volvulus: A genome-wide analysis across hosts and regions.

Genomic analysis of parasites can deepen our understanding of their transmission, population structure, and important biological characteristics. Onchocerciasis (river blindness), caused by the parasitic nematode Onchocerca volvulus, involves adult worms residing in subcutaneous nodules that produce larval-stage microfilariae (mf), which are routinely detected in the skin for diagnosis. Whole-genome studies of mf are limited; most analyses have focused on the mitochondrial genome. We conducted a genome-wide analysis with 94% median nuclear genome coverage, analyzing 171, 37, and 98 mf from 16, 3, and 5 individuals from Ghana, Liberia, and the Democratic Republic of Congo, respectively. These data were used to investigate population differentiation, estimate the number of reproductive adult worms, and analyze genetic variation across chromosomes. Population genetic analyses across hosts and countries showed that nuclear genome diversity can reveal fine-scale genetic structure, even between geographically close countries, providing more resolution than mitochondrial haplotype data. By reconstructing maternal and paternal sibships, we estimated the number of reproductively active adult filariae. Comparisons between adult worm estimates from genetic data and nodule observations showed that genetics-based estimates were higher or equal to observed worm counts in 8 out of 9 hosts for female worms and 7 out of 9 hosts for male worms. Our analysis also revealed lower-than-expected X chromosome diversity, consistent with neo-X chromosome fusions in filarial species. This study represents an important step in using nuclear genome data from mf to support onchocerciasis elimination efforts and in developing genetic tools that could inform mass drug administration programs.

Onchocerca volvulus↗

Comparative analysis of a genome fragment of an uncultivated mesopelagic crenarchaeote reveals multiple horizontal gene transfers.

Marine planktonic crenarchaeota have escaped all cultivation attempts to date, all crenarchaeota growing in pure culture so far being hyperthermophiles. Here, we present a comparative genomic analysis of a 16S- plus 23S-rDNA-containing fragment of a crenarchaeote retrieved from an environmental genomic library constructed from picoplankton collected at 500 m depth in the Antarctic Polar Front. The clone DeepAnt-EC39 contained an insert of 33.3 kbp, which was completely sequenced. DeepAnt-EC39 appears to represent a lineage specific to deep-sea waters but widespread geographically, as revealed by the analysis of the 16S-23S-rDNA intergenic spacer region. A comparison with previously sequenced marine crenarchaeotal genomic clones also containing an rrn operon (74A4, 4B7 and Cenarchaeum symbiosum strains A and B) revealed a highly variable structure involving gene rearrangements and insertions/deletions. The surroundings of the rrn operon and the contiguous glutamate-1-semialdehyde aminotransferase gene appear hot spots for recombination. Phylogenetic analyses of all individual predicted proteins revealed the existence of several likely cases of horizontal gene transfer both, between the two archaeal kingdoms and between the two prokaryotic domains. The most frequent horizontal transfers appear to involve genes from mesophilic methanogenic euryarchaeota related to Methanosarcinales. We hypothesise that the acquisition of genes from mesophilic bacteria and euryarchaeota has played a major role in the adaptation of Group I crenarchaeota to life at lower temperatures.

Chromosomes, Archaeal↗

Improved analytical methods for microarray-based genome-composition analysis.

BACKGROUND: Whereas genome sequencing has given us high-resolution pictures of many different species of bacteria, microarrays provide a means of obtaining information on genome composition for many strains of a given species. Genome-composition analysis using microarrays, or 'genomotyping', can be used to categorize genes into 'present' and 'divergent' categories based on the level of hybridization signal. This typically involves selecting a signal value that is used as a cutoff to discriminate present (high signal) and divergent (low signal) genes. Current methodology uses empirical determination of cutoffs for classification into these categories, but this methodology is subject to several problems that can result in the misclassification of many genes. RESULTS: We describe a method that depends on the shape of the signal-ratio distribution and does not require empirical determination of a cutoff. Moreover, the cutoff is determined on an array-to-array basis, accounting for variation in strain composition and hybridization quality. The algorithm also provides an estimate of the probability that any given gene is present, which provides a measure of confidence in the categorical assignments. CONCLUSIONS: Many genes previously classified as present using static methods are in fact divergent on the basis of microarray signal; this is corrected by our algorithm. We have reassigned hundreds of genes from previous genomotyping studies of Helicobacter pylori and Campylobacter jejuni strains, and expect that the algorithm should be widely applicable to genomotyping data.

Algorithms↗

Comparative analysis of twelve genomes of three novel group 2c and group 2d coronaviruses reveals unique group and subgroup features.

Twelve complete genomes of three novel coronaviruses-bat coronavirus HKU4 (bat-CoV HKU4), bat-CoV HKU5 (putative group 2c), and bat-CoV HKU9 (putative group 2d)-were sequenced. Comparative genome analysis showed that the various open reading frames (ORFs) of the genomes of the three coronaviruses had significantly higher amino acid identities to those of other group 2 coronaviruses than group 1 and 3 coronaviruses. Phylogenetic trees constructed using chymotrypsin-like protease, RNA-dependent RNA polymerase, helicase, spike, and nucleocapsid all showed that the group 2a and 2b and putative group 2c and 2d coronaviruses are more closely related to each other than to group 1 and 3 coronaviruses. Unique genomic features distinguishing between these four subgroups, including the number of papain-like proteases, the presence or absence of hemagglutinin esterase, small ORFs between the membrane and nucleocapsid genes and ORFs (NS7a and NS7b), bulged stem-loop and pseudoknot structures downstream of the nucleocapsid gene, transcription regulatory sequence, and ribosomal recognition signal for the envelope gene, were also observed. This is the first time that NS7a and NS7b downstream of the nucleocapsid gene has been found in a group 2 coronavirus. The high Ka/Ks ratio of NS7a and NS7b in bat-CoV HKU9 implies that these two group 2d-specific genes are under high selective pressure and hence are rapidly evolving. The four subgroups of group 2 coronaviruses probably originated from a common ancestor. Further molecular epidemiological studies on coronaviruses in the bats of other countries, as well as in other animals, and complete genome sequencing will shed more light on coronavirus diversity and their evolutionary histories.

Amino Acid Sequence↗

Mechanism of chromosomal integration of transgenes in microinjected mouse eggs: sequence analysis of genome-transgene and transgene-transgene junctions at two loci.

Production of transgenic animals is a key technique in modern biology, but the process of chromosomal integration of transgenes in microinjected eggs is still not fully understood. To gain information on the mechanisms involved in this process, we have cloned two transgene loci and their corresponding pre-integration sites and compared the junction sequences with the parental nucleotide (nt) sequences. No extensive DNA rearrangements were detected at these loci: only simple deletions (caused by the integration of the transgene concatemers) were present in the host genome. Analysis of three transgene-transgene junctions within the concatemers showed that 'nibbling' of ends (up to 3 nt) had occurred at some ends prior to joining. At all four genome-transgene junctions, short homologies of 1 to 3 nt were found, and at least three of these junctions were associated with the consensus sequence for topoisomerase-I cleavage sites. Moreover, three of the four integration junctions occurred in the terminal regions of the injected sequence, at positions only a few nt away from the ends. These results suggest that linear, but not circular, concatemers were preferentially integrated at their ends utilizing short homologies to the host genome.

Animals↗