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PubMed1998

Functional Genomics Conference: From Identifying Proteins to Faster Drug Discovery. March 10-11, 1998, Washington DC, USA.

The massive effort to sequence the human, mouse, rat, nematode (Caenorhabditis elegans), fruit fly (Drosophila), zebra fish, yeast (Saccharomyces cerevisiae), fungal (Candida albicans and Aspergillus fumigatus) and several bacterial genomes has produced a flood of sequence data. Of the more than 100,000 human genes and thousands from other organisms, many partial sequences and several completed microbial genomes are available in both public and private databases. However, elucidation of function has been achieved for only a very small portion and an even smaller percentage have been validated as drug targets. Many companies interested in identifying new drug targets also see this bounty of opportunity as a major challenge. The raw sequence data say little about the importance of the gene and nothing about its potential as a target for drug discovery. Since 1994, a new term, 'functional genomics', has entered our lexicon. Functional genomics, which in effect is 'high-throughput biology', was originally focused on understanding gene function by studying the genes of simpler organisms, such as the nematode, C. elegans. As the genes from a number of organisms are highly conserved across species, it is believed that studying these basic systems can yield valuable insights for drug companies interested in targeting therapeutics for the higher organisms. More recently, the approach to functional genomics has expanded to include study of gene function in organisms to be targeted for therapeutic intervention. This new approach was the theme of the Functional Genomics Conference: From Identifying Proteins to Faster Drug Discovery held in Washington DC on March 10 and 11, 1998. The organisers (NMHCC) hoped that the breadth of the conference topics would reflect the complexities of the modern drug discovery process and covered technologies from gene chips, bioinformatics, disease models, protein discovery and expression, target validation, high-throughput screening for genes of unknown function, to integration of the drug discovery process. The two day conference placed emphasis on cutting edge technology solutions and the development of high-throughput tools to address the emerging opportunities in genome-based drug discovery.

Journal Article↗

PubMed2004

Inhibition of Staphylococcus aureus gene expression and growth using antisense peptide nucleic acids.

Gene function studies in bacteria lag behind progress in genome sequencing, in part because current reverse genetics technology based on genome disruption does not allow subtle control of gene expression for all genes in a range of species. Essential genes and clustered regions are particularly problematic. Antisense technology offers an attractive alternative for microbial genomics. Unfortunately, bacteria lack RNAi mechanisms and conventional oligonucleotides are not taken up efficiently. However, in Escherichia coli, efficient and gene-specific antisense knock down is possible using antisense peptide nucleic acids (PNAs) attached to carrier peptides (KFFKFFKFFK). Carrier peptides can enter a range of microbial species, and in this study we asked whether peptide-PNAs could mediate antisense effects in Staphylococcus aureus. Using low micromolar concentrations we observed dose- and sequence-dependent inhibition of the reporter gene gfp and endogenous gene phoB. Also, antisense peptide-PNAs targeted to the essential genes fmhB, gyrA, and hmrB were growth inhibitory. Control peptide-PNAs were much less effective, and sequence alterations within the PNA and target mRNA sequences reduced or eliminated inhibition. Further development is needed to raise the antibacterial potential of PNAs, but the present results show that the approach can be used to study gene function and requirement in this important pathogen.

Anti-Bacterial Agents↗

PubMed2003

The genome of Nanoarchaeum equitans: insights into early archaeal evolution and derived parasitism.

The hyperthermophile Nanoarchaeum equitans is an obligate symbiont growing in coculture with the crenarchaeon Ignicoccus. Ribosomal protein and rRNA-based phylogenies place its branching point early in the archaeal lineage, representing the new archaeal kingdom Nanoarchaeota. The N. equitans genome (490,885 base pairs) encodes the machinery for information processing and repair, but lacks genes for lipid, cofactor, amino acid, or nucleotide biosyntheses. It is the smallest microbial genome sequenced to date, and also one of the most compact, with 95% of the DNA predicted to encode proteins or stable RNAs. Its limited biosynthetic and catabolic capacity indicates that N. equitans' symbiotic relationship to Ignicoccus is parasitic, making it the only known archaeal parasite. Unlike the small genomes of bacterial parasites that are undergoing reductive evolution, N. equitans has few pseudogenes or extensive regions of noncoding DNA. This organism represents a basal archaeal lineage and has a highly reduced genome.

Arabidopsis↗

PubMed2005

A new computational method for the detection of horizontal gene transfer events.

In recent years, the increase in the amounts of available genomic data has made it easier to appreciate the extent by which organisms increase their genetic diversity through horizontally transferred genetic material. Such transfers have the potential to give rise to extremely dynamic genomes where a significant proportion of their coding DNA has been contributed by external sources. Because of the impact of these horizontal transfers on the ecological and pathogenic character of the recipient organisms, methods are continuously sought that are able to computationally determine which of the genes of a given genome are products of transfer events. In this paper, we introduce and discuss a novel computational method for identifying horizontal transfers that relies on a gene's nucleotide composition and obviates the need for knowledge of codon boundaries. In addition to being applicable to individual genes, the method can be easily extended to the case of clusters of horizontally transferred genes. With the help of an extensive and carefully designed set of experiments on 123 archaeal and bacterial genomes, we demonstrate that the new method exhibits significant improvement in sensitivity when compared to previously published approaches. In fact, it achieves an average relative improvement across genomes of between 11 and 41% compared to the Codon Adaptation Index method in distinguishing native from foreign genes. Our method's horizontal gene transfer predictions for 123 microbial genomes are available online at http://cbcsrv.watson.ibm.com/HGT/.

Algorithms↗

PubMed2006

Overlapping genes as rare genomic markers: the phylogeny of gamma-Proteobacteria as a case study.

Phylogenies can be constructed in many ways, including using shared complex characters known as rare genomic changes (RGCs), such as insertions and deletions (indels), retroposon integrations and intron positions. Here, we demonstrate that distance-based phylogenies, which were determined by shared overlapping genes from 13 completely sequenced gamma-Proteobacteria genomes, are consistent with phylogenies based on 16S rRNAs and other robust markers. These findings suggest that overlapping genes could provide interesting additional insights into the phylogenomics of completely sequenced microbial genomes.

Algorithms↗

PubMed2002

The society of genes: networks of functional links between genes from comparative genomics.

BACKGROUND: Comparative genomics provides at least three methods beyond traditional sequence similarity for identifying functional links between genes: the examination of common phylogenetic distributions, the analysis of conserved proximity along the chromosomes of multiple genomes, and observations of fusions of genes into a multidomain gene in another organism. We have previously generated the links according to each of these methods individually for 43 known microbial genomes. Here we combine these results to construct networks of functional associations. RESULTS: We show that the functional networks obtained by applying these methods have different topologies and that the information they provide is largely additive. In particular, the combined networks of functional links contain an average of 57% of an organism's complete genetic complement, uncover substantial portions of known pathways, and suggest the function of previously unannotated genes. In addition, the combined networks are qualitatively different from the networks obtained using individual methods. They have a dominant cluster that contains approximately 80%-90% of the genes, independent of genome size, and the dominant clusters show the small world behavior expected of a biological system, with global connectivity that is nearly random, and local properties that are highly ordered. CONCLUSIONS: When the information on functional linkage provided by three emerging computational methods is combined, the integrated network uncovers large numbers of conserved pathways and identifies clusters of functionally related genes. It therefore shows considerable utility and promise as a tool for understanding genomic structure, and for guiding high throughput experimental investigations.

Chromosome Mapping↗

PubMed2003

NotI passporting to identify species composition of complex microbial systems.

We describe here a new method for large-scale scanning of microbial genomes on a quantitative and qualitative basis. To achieve this aim we propose to create NotI passports: databases containing NotI tags. We demonstrated that these tags comprising 19 bp of sequence information could be successfully generated using DNA isolated from intestinal or fecal samples. Such NotI passports allow the discrimination between closely related bacterial species and even strains. This procedure for generating restriction site tagged sequences (RSTS) is called passporting and can be adapted to any other rare cutting restriction enzyme. A comparison of 1312 tags from available sequenced Escherichia coli genomes, generated with the NotI, PmeI and SbfI restriction enzymes, revealed only 219 tags that were not unique. None of these tags matched human or rodent sequences. Therefore the approach allows analysis of complex microbial mixtures such as in human gut and identification with high accuracy of a particular bacterial strain on a quantitative and qualitative basis.

Bacteria↗

PubMed2006

Campylobacter spp. subtype analysis using gel-based repetitive extragenic palindromic-PCR discriminates in parallel fashion to flaA short variable region DNA sequence analysis.

AIMS: The repetitive extragenic palindromic-PCR (rep-PCR) subtyping technique, which targets repetitive extragenic DNA sequences in a PCR, was optimized for Campylobacter spp. These data were then used for comparison with the established genotyping method of flaA short variable region (SVR) DNA sequence analysis as a tool for molecular epidemiology. METHODS AND RESULTS: Uprime Dt, Uprime B1 or Uprime RI primers were utilized to generate gel-based fingerprints from a set of 50 Campylobacter spp. isolates recovered from a variety of epidemiological backgrounds and sources. Analysis and phenogram tree construction, using the unweighted pair group method with arithmetic mean, of the generated fingerprints demonstrated that the Uprime Dt primers were effective in providing reproducible patterns (100% typability, 99% reproducibility) and at placing isolates into epidemiological relevant groups. Genetic stability of the rep-PCR Uprime Dt patterns under nonselective, short-term transfer conditions revealed a Pearson's correlation approaching 99%. These same 50 Campylobacter spp. isolates were analysed by flaA SVR DNA sequence analysis to obtain phylogenetic relationships. CONCLUSIONS: The Uprime Dt primer-generated rep-PCR phenogram was compared with a phenogram generated from flaA SVR DNA sequence analysis of the same isolates. Comparison of the two sets of resulting genomic relationships revealed that both methods segregated isolates into similar groups. SIGNIFICANCE AND IMPACT OF THE STUDY: These results indicate that rep-PCR analysis performed using the Mo Bio Ultra Clean Microbial Genomic DNA Isolation Kit for DNA isolation and the Uprime DT primer set for amplification is a useful and effective tool for accurate differentiation of Campylobacter spp. for subtyping and epidemiological analyses.

Bacterial Typing Techniques↗

PubMed2024

Intestinal microbiome profiles in broiler chickens raised without antibiotics exhibit altered microbiome dynamics relative to conventionally raised chickens.

The present study was undertaken to profile and compare the cecal microbial communities in conventionally (CONV) grown and raised without antibiotics (RWA) broiler chickens. Three hundred chickens were collected from five CONV and five RWA chicken farms on days 10, 24, and 35 of age. Microbial genomic DNA was extracted from cecal contents, and the V4-V5 hypervariable regions of the 16S rRNA gene were amplified and sequenced. Analysis of 16S rRNA sequence data indicated significant differences in the cecal microbial diversity and composition between CONV and RWA chickens on days 10, 24, and 35 days of age. On days 10 and 24, CONV chickens had higher richness and diversity of the cecal microbiome relative to RWA chickens. However, on day 35, this pattern reversed such that RWA chickens had higher richness and diversity of the cecal microbiome than the CONV groups. On days 10 and 24, the microbiomes of both CONV and RWA chickens were dominated by members of the phylum Firmicutes. On day 35, while Firmicutes remained dominant in the RWA chickens, the microbiome of CONV chickens exhibited am abundance of Bacteroidetes. The cecal microbiome of CONV chickens was enriched with the genus Faecalibacterium, Pseudoflavonifractor, unclassified Clostridium_IV, Bacteroides, Alistipes, and Butyricimonas, whereas the cecal microbiome of RWA chickens was enriched with genus Anaerofilum, Butyricicoccu, Clostridium_XlVb and unclassified Lachnospiraceae. Overall, the cecal microbiome richness, diversity, and composition were greatly influenced by the management program applied in these farms. These findings provide a foundation for further research on tailoring feed formulation or developing a consortium to modify the gut microbiome composition of RWA chickens.

Animals↗

PubMed2001

Regulation of both gene expression and protein stability provides genetically assisted target evaluation (GATE) for microbial target validation.

The attempt to develop novel antibiotics, active against organisms resistant to current therapies, has led researchers to seek and explore new drug targets. The rapid sequencing and analysis of entire microbial genomes has identified large numbers of genes that may be sufficiently different from their human counterparts to be exploited as targets for antimicrobial treatment. As a first step, the importance of the various putative targets for microbial growth and survival must be assessed. Emerging validation technologies are becoming increasingly sophisticated and, in certain cases, allow prioritisation of the best targets. In this paper, genetically assisted target evaluation (GATE) is introduced as a versatile target validation technology. GATE concomitantly manipulates both synthesis and stability of the targeted protein using copper ions as an effector. This technology allows rapid quantitation of the lethal consequences of inactivation of targeted gene products in Saccharomyces cerevisiae. Additional tools can then be applied to extend these results into pathogenic organisms, such as Candida albicans.

Animals↗

PubMed1999

Selection at the wobble position of codons read by the same tRNA in Saccharomyces cerevisiae.

The transfer RNA gene complement of Saccharomyces cerevisiae was utilized for a whole-genome analysis of the deviation from a neutral usage of pyrimidine-ending cognate codons, that is, codons read by a single tRNA species having either inosine or guanosine as the first anticodon base. Mutational pressure at the wobble position was estimated from the base composition of the noncoding portion of the yeast genome. The selective pressure for translational efficiency was inferred from the degree of codon adaptation to tRNA gene redundancy and from mRNA abundance data derived from yeast transcriptome analysis. Amino acid conservation in orthologous comparisons with wholly sequenced microbial genomes was used to estimate translational accuracy requirements. A close correspondence was observed between the usage of wobble position pyrimidines and the frequency predicted by mutational bias. However, in the case of four cognate pairs (Gly: ggu/ggc; Asn: aau/aac; Phe: uuu/uuc; Tyr: uau/ uac) all read by guanosine-starting anticodons, we found evidence for a strong selective pressure driven by translational efficiency. Only for the glycine pair, wobble pyrimidine choice also appears to fulfill a translational accuracy requirement. Wobble pyrimidine selection is strictly related to the number of hydrogen bonds formed by alternative cognate codons: whenever a different number of hydrogen bonds can be formed at the wobble position, there is selection against six- or nine-hydrogen-bonded codon-anticodon pairs. Our results indicate that an intrinsic codon preference, critically dependent on the stability of codon-anticodon interaction and mainly reflecting selection for the optimization of translational efficiency, is built into the translational apparatus.

Codon↗

PubMed2026

ViralQC: a tool for assessing completeness and contamination of predicted viral contigs.

MOTIVATION: Viruses represent the most abundant biological entities on Earth, playing vital roles in diverse ecosystems. Cataloging viruses across various environments is essential for understanding their properties and functions. Metagenomic sequencing has emerged as the most comprehensive method for virus discovery. However, distinguishing viral sequences from the vast background of microbial organisms in metagenomic data remains a significant challenge. Existing tools experience varying degrees of false positive rates due to noise in sequencing and assembly, and the integration of proviruses into microbial genomes. This highlights the urgent need for an accurate and efficient method to evaluate the quality of viral contigs. RESULTS: To address these challenges, we introduce ViralQC, a tool designed to assess the quality of viral contigs or bins. ViralQC identifies microbial contamination within putative viral sequences using an ensemble framework powered by DNA and protein foundation models and estimates completeness by analyzing protein organization. We evaluated ViralQC on multiple datasets and compared its performance against the state-of-the-art tool, CheckV. Leveraging both DNA and protein foundation models, ViralQC achieves higher sensitivity on contamination detection for contigs longer than 10 kbp while maintaining comparable accuracy. Additionally, ViralQC delivers more accurate estimation on contigs with completeness > 50%. AVAILABILITY: The source code of ViralQC is available via: https://github.com/ChengPENG-wolf/ViralQC.

Software↗

PubMed2005

GAME: a simple and efficient whole genome alignment method using maximal exact match filtering.

In this paper, we present a simple and efficient whole genome alignment method using maximal exact match (MEM). The major problem with the use of MEM anchor is that the number of hits in non-homologous regions increases exponentially when shorter MEM anchors are used to detect more homologous regions. To deal with this problem, we have developed a fast and accurate anchor filtering scheme based on simple match extension with minimum percent identity and extension length criteria. Due to its simplicity and accuracy, all MEM anchors in a pair of genomes can be exhaustively tested and filtered. In addition, by incorporating the translation technique, the alignment quality and speed of our genome alignment algorithm have been further improved. As a result, our genome alignment algorithm, GAME (Genome Alignment by Match Extension), performs competitively over existing algorithms and can align large whole genomes, e.g., A. thaliana, without the requirement of typical large memory and parallel processors. This is shown using an experiment which compares the performance of BLAST, BLASTZ, PatternHunter, MUMmer and our algorithm in aligning all 45 pairs of 10 microbial genomes. The scalability of our algorithm is shown in another experiment where all pairs of five chromosomes in A. thaliana were compared.

Algorithms↗

PubMed2002

An alternative flavin-dependent mechanism for thymidylate synthesis.

Although deoxythymidylate cannot be provided directly by ribonucleotide reductase, the gene encoding thymidylate synthase ThyA is absent from the genomes of a large number of nonsymbiotic microbes. We show that ThyX (Thy1) proteins of previously unknown function form a large and distinct class of thymidylate synthases. ThyX has a wide but sporadic phylogenetic distribution, almost exclusively limited to microbial genomes lacking thyA. ThyX and ThyA use different reductive mechanisms, because ThyX activity is dependent on reduced flavin nucleotides. Our findings reveal complexity in the evolution of thymidine in present-day DNA. Because ThyX proteins are found in many pathogenic microbes, they present a previously uncharacterized target for antimicrobial compounds.

Catalysis↗

PubMed2004

Bacterial endosymbionts of insects: insights from comparative genomics.

The development of molecular techniques for the study of uncultured bacteria allowed the extensive study of the widespread association between insects and intracellular symbiotic bacteria. Most of the bacterial endosymbionts involved in such associations are gamma-proteobacteria, closely related to Escherichia coli. In recent years, five genomes from insect endosymbionts have been sequenced, allowing the performance of extensive genome comparative analysis that, as a complement of phylogenetic studies, and analysis on individual genes, can help to understand the different traits of this particular association, including how the symbiotic process is established, the explanation of the special features of these microbial genomes, the bases of this intimate association and the possible future that awaits the endosymbionts with extremely reduced genomes.

Adaptation, Biological↗

PubMed2002

Immuno-informatics: Mining genomes for vaccine components.

The complete genome sequences of more than 60 microbes have been completed in the past decade. Concurrently, a series of new informatics tools, designed to harness this new wealth of information, have been developed. Some of these new tools allow researchers to select regions of microbial genomes that trigger immune responses. These regions, termed epitopes, are ideal components of vaccines. When the new tools are used to search for epitopes, this search is usually coupled with in vitro screening methods; an approach that has been termed computational immunology or immuno-informatics. Researchers are now implementing these combined methods to scan genomic sequences for vaccine components. They are thereby expanding the number of different proteins that can be screened for vaccine development, while narrowing this search to those regions of the proteins that are extremely likely to induce an immune response. As the tools improve, it may soon be feasible to skip over many of the in vitro screening steps, moving directly from genome sequence to vaccine design. The present article reviews the work of several groups engaged in the development of immuno-informatics tools and illustrates the application of these tools to the process of vaccine discovery.

Algorithms↗

PubMed1999

Insights into the evolutionary process of genome degradation.

Studies of noncoding and pseudogene sequence diversity, particularly in Rickettsia, have begun to reveal the basic principles of genome degradation in microorganisms. Increasingly, studies of genes and genomes suggest that there has been an extensive amount of horizontal gene transfer among microorganisms. As this inflow of genetic material does not seem generally to have resulted in genome size expansions, however, degenerative processes must be at the very least as widespread as horizontal gene transfer. The basic principles of gene degradation and elimination that are being explored in Rickettsia are likely to be of major importance for our understanding of how microbial genomes evolve.

DNA, Bacterial↗

PubMed2001

Discovering essential and infection-related genes.

Transposon-based approaches are very powerful for identification of essential and infection-related genes in bacteria, particularly in the context of microbial genomics. We describe recent progress in several of these approaches, and their underlying principles. The essential gene test (EGT) is a transposon-based technique that can rapidly identify a nucleotide sequence from a database as essential or dispensable. Also, variations of in vitro transposon mutagenesis applications, such as genomic analysis and mapping by in vitro transposition (GAMBIT), are described. The development of techniques including PCR-based signature-tagged mutagenesis is now used to find essential virulence genes in different bacterial hosts. These approaches form the basis for the identification of microbial targets in development of novel antimicrobials and vaccines by the biotechnology and pharmaceutical industry.

Bacteria↗