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PubMed2002

Occurrence of several genes encoding putative reductive dehalogenases in Desulfitobacterium hafniense/frappieri and Dehalococcoides ethenogenes.

Desulfitobacterium frappieri PCP-1 has the capacity to dehalogenate several halogenated aromatic compounds by reductive dehalogenation, however, the genes encoding the enzymes involved in such processes have not yet been identified. Using a degenerate oligonucleotide corresponding to a conserved sequence of CprA/PceA reductive dehalogenases, a cprA-like gene fragment was amplified by PCR from this bacterial strain. A Desulfitobacterium frappieri PCP-1 cosmid library was screened with the PCR product, allowing the cloning and sequencing of a 1.9-kb fragment. This fragment contains a nucleic acid sequence identical to one genomic contig of Desulfitobacterium hafniense, a bacterium closely related to Desulfitobacterium frappieri that is also involved in reductive dehalogenation. Other genes related to the Desulfitobacterium dehalogenans cpr locus were identified in this contig. Interestingly, the gene arrangement shows the presence of two copies of cprA-, cprB-, cprC-, cprD-, cprK-, and cprT-related genes, suggesting that gene duplication occurred within this chromosomic region. The screening of Delfitobacterium hafniense genomic contigs with a CprA-deduced amino acid sequence revealed two other cprA-like genes. Microbial genomes available in gene databases were also analyzed for sequences related to CprA/PceA. Two open reading frames encoding other putative reductive dehalogenases in Desulfitobacterium hafniense contigs were detected, along with 17 in the Dehalococcoides ethenogenes genome, a bacterium involved in the reductive dehalogenation of tetrachloroethene to ethene. The fact that several gene encoding putative reductive dehalogenases exist in Delfitobacterium hafniense, probably in other members of the genus Desulfitobacterium, and in Dehalococcoides ethenogenes suggests that these bacteria use distinct but related enzymes to achieve the dehalogenation of several chlorinated compounds [corrected].

Amino Acid Sequence↗
PubMed2005

ProGenExpress: visualization of quantitative data on prokaryotic genomes.

BACKGROUND: The integration of genomic information with quantitative experimental data is a key component of systems biology. An increasing number of microbial genomes are being sequenced, leading to an increasing amount of data from post-genomics technologies. The genomes of prokaryotes contain many structures of interest, such as operons, pathogenicity islands and prophage sequences, whose behaviour is of interest during infection and disease. There is a need for simple and novel tools to display and analyse data from these integrated datasets, and we have developed ProGenExpress as a tool for visualising arbitrarily complex numerical data in the context of prokaryotic genomes. RESULTS: Here we describe ProGenExpress, an R package that allows researchers to easily and quickly visualize quantitative measurements, such as those produced by microarray experiments, in the context of the genome organization of sequenced prokaryotes. Data from microarrays, proteomics or other whole-genome technologies can be accurately displayed on the genome. ProGenExpress can also search for novel regions of interest that consist of groups of adjacent genes that show similar patterns across the experimental data set. We demonstrate ProGenExpress with microarray data from a time-course experiment involving Salmonella typhimurium. CONCLUSION: ProGenExpress can be used to visualize quantitative data from complex experiments in the context of the genome of sequenced prokaryotes, and to find novel regions of interest.

Computational Biology↗
PubMed2004

Genome-derived vaccines.

Vaccine research entered a new era when the complete genome of a pathogenic bacterium was published in 1995. Since then, more than 97 bacterial pathogens have been sequenced and at least 110 additional projects are now in progress. Genome sequencing has also dramatically accelerated: high-throughput facilities can draft the sequence of an entire microbe (two to four megabases) in 1 to 2 days. Vaccine developers are using microarrays, immunoinformatics, proteomics and high-throughput immunology assays to reduce the truly unmanageable volume of information available in genome databases to a manageable size. Vaccines composed by novel antigens discovered from genome mining are already in clinical trials. Within 5 years we can expect to see a novel class of vaccines composed by genome-predicted, assembled and engineered T- and Bcell epitopes. This article addresses the convergence of three forces--microbial genome sequencing, computational immunology and new vaccine technologies--that are shifting genome mining for vaccines onto the forefront of immunology research.

Animals↗
PubMed2004

Genome Properties: a system for the investigation of prokaryotic genetic content for microbiology, genome annotation and comparative genomics.

MOTIVATION: The presence or absence of metabolic pathways and structures provide a context that makes protein annotation far more reliable. Compiling such information across microbial genomes improves the functional classification of proteins and provides a valuable resource for comparative genomics. RESULTS: We have created a Genome Properties system to present key aspects of prokaryotic biology using standardized computational methods and controlled vocabularies. Properties reflect gene content, phenotype, phylogeny and computational analyses. The results of searches using hidden Markov models allow many properties to be deduced automatically, especially for families of proteins (equivalogs) conserved in function since their last common ancestor. Additional properties are derived from curation, published reports and other forms of evidence. Genome Properties system was applied to 156 complete prokaryotic genomes, and is easily mined to find differences between species, correlations between metabolic features and families of uncharacterized proteins, or relationships among properties. AVAILABILITY: Genome Properties can be found at http://www.tigr.org/Genome_Properties SUPPLEMENTARY INFORMATION: http://www.tigr.org/tigr-scripts/CMR2/genome_properties_references.spl.

Chromosome Mapping↗
PubMed2002

Draft sequencing and comparative genomics of Xylella fastidiosa strains reveal novel biological insights.

Draft sequencing is a rapid and efficient method for determining the near-complete sequence of microbial genomes. Here we report a comparative analysis of one complete and two draft genome sequences of the phytopathogenic bacterium, Xylella fastidiosa, which causes serious disease in plants, including citrus, almond, and oleander. We present highlights of an in silico analysis based on a comparison of reconstructions of core biological subsystems. Cellular pathway reconstructions have been used to identify a small number of genes, which are likely to reside within the draft genomes but are not captured in the draft assembly. These represented only a small fraction of all genes and were predominantly large and small ribosomal subunit protein components. By using this approach, some of the inherent limitations of draft sequence can be significantly reduced. Despite the incomplete nature of the draft genomes, it is possible to identify several phage-related genes, which appear to be absent from the draft genomes and not the result of insufficient sequence sampling. This region may therefore identify potential host-specific functions. Based on this first functional reconstruction of a phytopathogenic microbe, we spotlight an unusual respiration machinery as a potential target for biological control. We also predicted and developed a new defined growth medium for Xylella.

Attachment Sites, Microbiological↗
PubMed2003

Experimental evolution yields hundreds of mutations in a functional viral genome.

Two lines of the bacteriophage T7 were grown to fix mutations indiscriminately, using a combination of population bottlenecks and mutagenesis. Complete genome sequences revealed 404 and 299 base substitutions in the two lines, the largest number characterized in functional microbial genomes so far. Missense substitutions outnumbered silent substitutions. Silent substitutions occurred at similar rates between essential and nonessential genes, but missense substitutions occurred at a higher rate in nonessential genes than in essential genes, as expected if they were less deleterious in the nonessential genes. Viral fitness declined during this protocol, and subsequent passaging of each mutated line in large population sizes restored some of the lost fitness. Substitution levels during these recoveries were less than 6% of those during the bottleneck phase, and only two changes during recovery were reversions of the original mutations. Exchanges of genomic fragments between the two recovered lines revealed that fitness effects of some substitutions were not additive-that interactions were accumulating which could lead to incompatibility between the diverged genomes. Based on these results, unprecedented high rates of nucleotide and functional divergence in viral genomes should be attainable experimentally by using repeated population bottlenecks at a high mutation rate interspersed with recovery.

Bacteriophage T7↗
PubMed2026

Widespread marine and freshwater distributions of active sulfoquinovose-degrading bacteria.

Sulfoquinovose (SQ), a sulfonated sugar produced on a gigaton scale each year, contributes to global sulfur cycling, yet the microbes and pathways mediating its turnover in the environment have been inferred largely from genomic potential rather than direct activity. Here, we coupled incubations of environmental samples with 13C-labeled SQ to DNA-stable isotope probing to identify active SQ carbon assimilators across estuary, mangrove, and lake ecosystems. In estuarine communities, Vibrio and Cognatishimia incorporated SQ-derived 13C; Novosphingobium dominated in the mangrove, and Agrobacterium in the lake. Pure-culture experiments, coupled with comparative proteomics and gene knockout validation, demonstrated that Vibrio strains degrade SQ via modified sulfoglycolytic Embden-Meyerhof-Parnas and Entner-Doudoroff pathways to produce the environmentally significant organosulfur 2,3-dihydroxypropanesulfonate. Comparative genomic analyses suggested that closely related genome representatives of Novosphingobium, Cognatishimia, and Agrobacterium encode the sulfolytic SQ monooxygenase pathway. A global survey of aquatic microbial genomes indicated that over 9% harbor SQ degradation clusters, supporting a widespread distribution of bacterial SQ catabolic potential in aquatic environments.

Fresh Water↗
PubMed2004

GDAP: a web tool for genome-wide protein disulfide bond prediction.

The Genomic Disulfide Analysis Program (GDAP) provides web access to computationally predicted protein disulfide bonds for over one hundred microbial genomes, including both bacterial and achaeal species. In the GDAP process, sequences of unknown structure are mapped, when possible, to known homologous Protein Data Bank (PDB) structures, after which specific distance criteria are applied to predict disulfide bonds. GDAP also accepts user-supplied protein sequences and subsequently queries the PDB sequence database for the best matches, scans for possible disulfide bonds and returns the results to the client. These predictions are useful for a variety of applications and have previously been used to show a dramatic preference in certain thermophilic archaea and bacteria for disulfide bonds within intracellular proteins. Given the central role these stabilizing, covalent bonds play in such organisms, the predictions available from GDAP provide a rich data source for designing site-directed mutants with more stable thermal profiles. The GDAP web application is a gateway to this information and can be used to understand the role disulfide bonds play in protein stability both in these unusual organisms and in sequences of interest to the individual researcher. The prediction server can be accessed at http://www.doe-mbi.ucla.edu/Services/GDAP.

Archaeal Proteins↗
PubMed2002

Genomic DNA standards for gene expression profiling in Mycobacterium tuberculosis.

A fundamental problem in DNA microarray analysis is the lack of a common standard to compare the expression levels of different samples. Several normalization protocols have been proposed to overcome variables inherent in this technology. As yet, there are no satisfactory methods to exchange gene expression data among different research groups or to compare gene expression values under different stimulus-response profiles. We have tested a normalization procedure based on comparing gene expression levels to the signals generated from hybridizing genomic DNA (genomic normalization). This procedure was applied to DNA microarrays of Mycobacterium tuberculosis using RNA extracted from cultures growing to the logarithmic and stationary phases. The applied normalization procedure generated reproducible measurements of expression level for 98% of the putative mycobacterial ORFs, among which 5.2% were significantly changed comparing the logarithmic to stationary growth phase. Additionally, analysis of expression levels of a subset of genes by real time PCR technology revealed an agreement in expression of 90% of the examined genes when genomic DNA normalization was applied instead of 29-68% agreement when RNA normalization was used to measure the expression levels in the same set of RNA samples. Further examination of microarray expression levels displayed clusters of genes differentially expressed between the logarithmic, early stationary and late stationary growth phases. We conclude that genomic DNA standards offer advantages over conventional RNA normalization procedures and can be adapted for the investigation of microbial genomes.

DNA, Bacterial↗
PubMed2000

MAGPIE/EGRET annotation of the 2.9-Mb Drosophila melanogaster Adh region.

Our challenge in annotating the 2.91-Mb Adh region of the Drosophila melanogaster genome was to identify genetic and genomic features automatically, completely, and precisely within a 6-week period. To do so, we augmented the MAGPIE microbial genome annotation system to handle eukaryotic genomic sequence data. The new configuration required the integration of eukaryotic gene-finding tools and DNA repeat tools into the automatic data collection module. It also required us to define in MAGPIE new strategies to combine data about eukaryotic exon predictions with functional data to refine the exon predictions. At the heart of the resulting new eukaryotic genome annotation system is a reverse comparison of public protein and complementary DNA sequences against the input genome to identify missing exons and to refine exon boundaries. The software modules that add eukaryotic genome annotation capability to MAGPIE are available as EGRET (Eukaryotic Genome Rapid Evaluation Tool).

Alcohol Dehydrogenase↗
PubMed2000

Links from genome proteins to known 3-D structures.

We describe a genome annotation service provided by the Entrez browser, http://www.ncbi.nlm.nih.gov/entrez. All protein products identified in fully sequenced microbial genomes have been compared with proteins with known 3-D structure by use of the BLAST sequence comparison algorithm. For the approximately 20% of genome proteins in which unambiguous sequence similarity is detected, Entrez provides a link from the gene product to its predicted structure. The service uses the Cn3D molecular graphics viewer to present a 3-D view of the known structure, together with an alignment display mapping conserved residues from the genome protein onto the known structure. Using an example from Aeropyrum pernix, we illustrate how mapping to a 3-D structure can confirm predictions of biological function.

Algorithms↗
PubMed2006

Identification of genes subject to positive selection in uropathogenic strains of Escherichia coli: a comparative genomics approach.

Escherichia coli is a model laboratory bacterium, a species that is widely distributed in the environment, as well as a mutualist and pathogen in its human hosts. As such, E. coli represents an attractive organism to study how environment impacts microbial genome structure and function. Uropathogenic E. coli (UPEC) must adapt to life in several microbial communities in the human body, and has a complex life cycle in the bladder when it causes acute or recurrent urinary tract infection (UTI). Several studies designed to identify virulence factors have focused on genes that are uniquely represented in UPEC strains, whereas the role of genes that are common to all E. coli has received much less attention. Here we describe the complete 5,065,741-bp genome sequence of a UPEC strain recovered from a patient with an acute bladder infection and compare it with six other finished E. coli genome sequences. We searched 3,470 ortholog sets for genes that are under positive selection only in UPEC strains. Our maximum likelihood-based analysis yielded 29 genes involved in various aspects of cell surface structure, DNA metabolism, nutrient acquisition, and UTI. These results were validated by resequencing a subset of the 29 genes in a panel of 50 urinary, periurethral, and rectal E. coli isolates from patients with UTI. These studies outline a computational approach that may be broadly applicable for studying strain-specific adaptation and pathogenesis in other bacteria.

Chromosomes, Bacterial↗
PubMed1999

Whole genome protein domain analysis using a new method for domain clustering.

We present the outcome of a systematic analysis of protein domain shuffling in 17 completed microbial genomes. This analysis has been performed using MKDOM Version 2, a completely new version of the domain clustering program MKDOM based on PSI-BLAST recursive homology searches. It allows to delineate the most frequent protein domain building blocks, which domains are found specifically in Bacteria, Archaea or yeast, and which domains are shared between two or all three domains of life. The latter are good candidates as the basic protein building blocks underlying all forms of cellular life. Statistics of multi-domain proteins indicate that some organisms such as Bacillus subtilis or Mycobacterium tuberculosis contain an abnormally high number of large multi-domain proteins. We also provide examples of highly shuffled or circularly permutated domains. A WWW graphical interface has been made available to interactively browse domain arrangements of proteins in all 17 genomes, at http:@www.toulouse.inra.fr/prodomCG.html.

Archaea↗
PubMed2007

Prokaryotic lifestyles in deep sea habitats.

Gradients of physicochemical factors influence the growth and survival of life in deep-sea environments. Insights into the characteristics of deep marine prokaryotes has greatly benefited from recent progress in whole genome and metagenome sequence analyses. Here we review the current state-of-the-art of deep-sea microbial genomics. Ongoing and future genome-enabled studies will allow for a better understanding of deep-sea evolution, physiology, biochemistry, community structure and nutrient cycling.

Genome↗
PubMed2002

Evaluation of non-cyanobacterial genome sequences for occurrence of genes encoding proteins homologous to cyanophycin synthetase and cloning of an active cyanophycin synthetase from Acinetobacter sp. strain DSM 587.

All publicly accessible microbial genome databases were searched for the occurrence of genes encoding proteins homologous to the cyanophycin synthetase (CphA) of Synechocystis sp. strain PCC 6803 in order to reveal the capability of microorganisms not belonging to the cyanobacteria to synthesize cyanophycin. Among 65 genome sequences, genes homologous to cphA were found in Acinetobacter sp. strain ADP1 (encoding a protein homologous to CphA with 40% amino acid identity), Bordetella bronchiseptica strain RB50 (39%), Bordetella pertussis strain Tohama I (39%), Bordetella parapertussis strain 12822 (39%), Clostridium botulinum strain ATCC 3502 (39%), Desulfitobacterium hafniense strain DCB-2 (38%) and Nitrosomonas europaea strain ATCC 25978 (37%). The gene homologous to cphA from Acinetobacter sp. strain DSM 587 was amplified by PCR, ligated to the vector pBluescript SK(-) downstream of the lac promoter and introduced into Escherichia coli. The recombinant strain of E. coli expressed CphA activity at up to 1.2 U/mg protein and accumulated cyanophycin to up to 7.5% of the cellular dry matter, indicating that CphA of Acinetobacter sp. strain DSM 587 is functionally active. In Acinetobacter sp. strain DSM 587 itself, cyanophycin accumulated to up to 1.4% of the total protein under phosphate-limited conditions, and cyanophycin synthetase activity was detected, which indicated the function of cyanophycin as a storage compound in this strain.

Acinetobacter↗
PubMed2004

Human genome research in China.

Significant progress in human genome research has been made in China since 1994. This review aims to give a brief and incomplete introduction to the major research institutions and their achievements in human genome sequencing and functional genomics in medicine, with emphasis on the "1% Sequencing Project", the generation of single nucleotide polymorphism and haplotype maps of the human genome, disease gene identification, and the molecular characterization of leukemia and other diseases. Chinese efforts towards the sequencing of pathogenic microbial genomes and of the rice (Oryza sativa ssp. Indica) genome are also described.

China↗
PubMed2001

Genome size determination and coding capacity of Sodalis glossinidius, an enteric symbiont of tsetse flies, as revealed by hybridization to Escherichia coli gene arrays.

Recent molecular characterization of various microbial genomes has revealed differences in genome size and coding capacity between obligate symbionts and intracellular pathogens versus free-living organisms. Multiple symbiotic microorganisms have evolved with tsetse fly, the vector of African trypanosomes, over long evolutionary times. Although these symbionts are indispensable for tsetse fecundity, the biochemical and molecular basis of their functional significance is unknown. Here, we report on the genomic aspects of the secondary symbiont Sodalis glossinidius. The genome size of Sodalis is approximately 2 Mb. Its DNA is subject to extensive methylation and based on some of its conserved gene sequences has an A+T content of only 45%, compared to the typically AT-rich genomes of endosymbionts. Sodalis also harbors an extrachromosomal plasmid about 134 kb in size. We used a novel approach to gain insight into Sodalis genomic contents, i.e., hybridizing its DNA to macroarrays developed for Escherichia coli, a closely related enteric bacterium. In this analysis we detected 1,800 orthologous genes, corresponding to about 85% of the Sodalis genome. The Sodalis genome has apparently retained its genes for DNA replication, transcription, translation, transport, and the biosynthesis of amino acids, nucleic acids, vitamins, and cofactors. However, many genes involved in energy metabolism and carbon compound assimilation are apparently missing, which may indicate an adaptation to the energy sources available in the only nutrient of the tsetse host, blood. We present gene arrays as a rapid tool for comparative genomics in the absence of whole genome sequence to advance our understanding of closely related bacteria.

Animals↗
PubMed2004

Using functional and organizational information to improve genome-wide computational prediction of transcription units on pathway-genome databases.

MOTIVATION: The prediction of transcription units (TUs, which are similar to operons) is an important problem that has been tackled using many different approaches. The availability of complete microbial genomes has made genome-wide TU predictions possible. Pathway-genome databases (PGDBs) add metabolic and other organizational (i.e. protein complexes) information to the annotated genome, and are able to capture TU organization information. These characteristics of PGDBs make them a suitable framework for the development and implementation of TU predictors. RESULTS: We implemented a TU predictor that uses only intergenic distance and functional classification of genes to predict TU boundaries, and applied it to EcoCyc, our PGDB of Escherichia coli. To this original predictor, we added information on metabolic pathways, protein complexes and transporters, all readily available in EcoCyc, in order to generate an enhanced predictor. The enhanced predictor correctly predicted 80% of the known E.coli TUs (69% of the known operons), a moderate improvement over the original predictor's performance (75% of TUs and 65% of operons correctly predicted), demonstrating that the extra information available in the PGDB does indeed improve prediction performance. Performance of this E.coli-based predictor on a genome other than that of E.coli was tested on BsubCyc, our computationally generated PGDB for Bacillus subtilis, for which a set of 100 known operons is available. Prediction accuracy decreased substantially (46% of the known operons correctly predicted). This was due in part to missing information in BsubCyc, which prevented full use of the predictor's features. The augmented predictor has been implemented as part of our Pathway Tools software suite, and can be used to populate a PGDB with predicted TUs. AVAILABILITY: The TU predictor is included in version 7.0 of the Pathway Tools software suite. Pathway Tools 7.0 is available free of charge to academic institutions and for a fee to commercial enterprises. It runs on Sun Solaris 8, Linux and Windows. TUs predicted on the Caulobacter crescentus and Mycobacterium tuberculosis (H37Rv) genomes are available in our CauloCyc and MtbrvCyc databases, available at the BioCyc web site (http://biocyc.org). To obtain version 7.0 of Pathway Tools, follow the directions in our web site, http://biocyc.org/download.shtml.

Algorithms↗