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Biomedical subjects

Gary J Olsen

Publications and source records attributed to Gary J Olsen.

7 recordsLinked to original sources

Multiple clades of regulators contribute to bacterial phosphate homeostasis and pathogenesis.

Phosphate is both essential for life and toxic, necessitating the tight regulation of its acquisition. Based on Escherichia coli, most bacteria are thought to use a single accessory protein that monitors import to regulate phosphate homeostasis. This work reveals that most bacteria possess multiple distinct families of accessory regulators with each family regulating homeostasis in conjunction with a unique importer family. The antibiotic-resistant pathogen Staphylococcus aureus can obtain phosphate from divergent environments and possesses accessory-transporter pairs from all three identified groups. Investigations with S. aureus revealed that all three accessory proteins can regulate phosphate homeostasis, but that there is a hierarchy, which is dictated by the environment. Multiple accessory regulators are independently necessary for S. aureus to cause infection. Thus, microbes possess not one, but multiple distinct groups of accessory regulatory proteins and this diversity enables them to control phosphate homeostasis across environments, including those encountered during infection.

PhoPR↗

The National Microbial Pathogen Database Resource (NMPDR): a genomics platform based on subsystem annotation.

The National Microbial Pathogen Data Resource (NMPDR) (http://www.nmpdr.org) is a National Institute of Allergy and Infections Disease (NIAID)-funded Bioinformatics Resource Center that supports research in selected Category B pathogens. NMPDR contains the complete genomes of approximately 50 strains of pathogenic bacteria that are the focus of our curators, as well as >400 other genomes that provide a broad context for comparative analysis across the three phylogenetic Domains. NMPDR integrates complete, public genomes with expertly curated biological subsystems to provide the most consistent genome annotations. Subsystems are sets of functional roles related by a biologically meaningful organizing principle, which are built over large collections of genomes; they provide researchers with consistent functional assignments in a biologically structured context. Investigators can browse subsystems and reactions to develop accurate reconstructions of the metabolic networks of any sequenced organism. NMPDR provides a comprehensive bioinformatics platform, with tools and viewers for genome analysis. Results of precomputed gene clustering analyses can be retrieved in tabular or graphic format with one-click tools. NMPDR tools include Signature Genes, which finds the set of genes in common or that differentiates two groups of organisms. Essentiality data collated from genome-wide studies have been curated. Drug target identification and high-throughput, in silico, compound screening are in development.

Bacteria↗

A computer simulation analysis of the accuracy of partial genome sequencing and restriction fragment analysis in the reconstruction of phylogenetic relationships.

Partial genome sequencing (PGS) and restriction fragment analysis (RFA) are used frequently in molecular epidemiologic investigations. The relative accuracy of PGS and RFA in phylogenetic reconstruction has not been assessed. In this study, 32 model phylogenetic trees with 16 extant lineages were generated, for which DNA sequences were simulated under varying conditions of genome length, nucleotide substitution rate, and between-site substitution rate variation. Genotyping using PGS and RFA was simulated. The effect of tree structure (stemminess, imbalance, lineage variation) on the accuracy of phylogenetic reconstruction (topological and branch length similarity) was evaluated. Overall, PGS was more accurate than RFA. The accuracy of PGS increased with increasing sequence length. The accuracy of RFA increased with the number of restriction enzymes used. In fragment size comparison, the Dice and Nei-Li algorithms differed little, with both more accurate than the Fragment Size Distribution algorithm. For RFA, higher tree stemminess and longer genome length were associated with higher topological accuracy, whereas lower tree stemminess and lower substitution rates were associated with higher branch length accuracy. For PGS, lower tree imbalance was associated with higher topological accuracy, whereas lower tree stemminess, higher substitution rate, and lower between-site substitution rate variation were associated with higher branch length accuracy. RFA had higher topological accuracy than PGS only for the shortest sequence length (200 bps) at a low substitution rate, high tree stemminess, and long genome length. PGS had equal or higher accuracy in branch length reconstruction than RFA under all conditions investigated. Thus, partial genome sequencing is recommended over restriction fragment analysis for conditions within the parameter space examined.

Computational Biology↗

Evolution of eukaryotic transcription: insights from the genome of Giardia lamblia.

The Giardia lamblia genome sequencing project affords us a unique opportunity to conduct comparative analyses of core cellular systems between early and late-diverging eukaryotes on a genome-wide scale. We report a survey to identify canonical transcription components in Giardia, focusing on RNA polymerase (RNAP) subunits and transcription-initiation factors. Our survey revealed that Giardia contains homologs to 21 of the 28 polypeptides comprising eukaryal RNAPI, RNAPII, and RNAPIII; six of the seven RNAP subunits without giardial homologs are polymerase specific. Components of only four of the 12 general transcription initiation factors have giardial homologs. Surprisingly, giardial TATA-binding protein (TBP) is highly divergent with respect to archaeal and higher eukaryotic TBPs, and a giardial homolog of transcription factor IIB was not identified. We conclude that Giardia represents a transition during the evolution of eukaryal transcription systems, exhibiting a relatively complete set of RNAP subunits and a rudimentary basal initiation apparatus for each transcription system. Most class-specific RNAP subunits and basal initiation factors appear to have evolved after the divergence of Giardia from the main eukaryotic line of descent. Consequently, Giardia is predicted to be unique in many aspects of transcription initiation with respect to paradigms derived from studies in crown eukaryotes.

Animals↗

Identification of 2D-gel proteins: a comparison of MALDI/TOF peptide mass mapping to mu LC-ESI tandem mass spectrometry.

A comparative analysis of protein identification for a total of 162 protein spots separated by two-dimensional gel electrophoresis from two fully sequenced archaea, Methanococcus jannaschii and Pyrococcus furiosus, using MALDI-TOF peptide mass mapping (PMM) and mu LC-MS/MS is presented. 100% of the gel spots analyzed were successfully matched to the predicted proteins in the two corresponding open reading frame databases by mu LC-MS/MS while 97% of them were identified by MALDI-TOF PMM. The high success rate from the PMM resulted from sample desalting/concentrating with ZipTip(C18) and optimization of several PMM search parameters including a 25 ppm average mass tolerance and the application of two different protein molecular weight search windows. By using this strategy, low-molecular weight (<23 kDa) proteins could be identified unambiguously with less than 5 peptide matches. Nine percent of spots were identified as containing multiple proteins. By using mu LC-MS/MS, 50% of the spots analyzed were identified as containing multiple proteins. mu LC-MS/MS demonstrated better protein sequence coverage than MALDI-TOF PMM over the entire mass range of proteins identified. MALDI-TOF and PMM produced unique peptide molecular weight matches that were not identified by mu LC-MS/MS. By incorporating amino acid sequence modifications into database searches, combined sequence coverage obtained from these two complimentary ionization methods exceeded 50% for approximately 70% of the 162 spots analyzed. This improved sequence coverage in combination with enzymatic digestions of different specificity is proposed as a method for analysis of post-translational modification from 2D-gel separated proteins.

Amino Acid Sequence↗

Comparative genomics of closely related salmonellae.

As the number of completed genome sequences increases, there is increasing emphasis on comparative genomic analysis of closely related organisms. Comparison of the similarities and differences between the five publicly available Salmonella genome sequences reveals extensive sequence conservation among the Salmonella serovars. However, horizontal gene transfer has provided each genome with between 10% and 12% of unique DNA. Genome comparisons of the closely related salmonellae emphasize the insights that can be gleaned from sequencing genomes of a single species.

Antigenic Variation↗

Shotgun proteomics of Methanococcus jannaschii and insights into methanogenesis.

Methanococcus jannaschii is an autotrophic hyperthermophilic archaeon isolated from an oceanic hydrothermal vent. Its primary pathway for energy production is methanogenesis from H2 and CO2. High-throughput Multidimensional Protein Identification Technology based on microcapillary LC/LC/ MS/MS was used to investigate the proteome of M. jannaschii and the methanogenesis pathway in cells grown in complex medium with high H2 supply. A total of 963 proteins have been unambiguously identified. The identified proteins represent approximately 54% of the whole genome of M. jannaschii. About 44% of the identified proteins are either conserved hypothetical or hypothetical proteins. We identified 83-95% of the proteins predicted to be involved in amino acid biosynthesis, cellular processes, central intermediary metabolism, energy metabolism, protein synthesis, transcription, and purine, pyridine, nucleoside, and nucleotide synthesis. Over 40% of these proteins have better than 50% sequence coverage. Approximately 90% of the predicted methanogenesis proteins were detected. In contrast, only 27-37% of predicted hypothetical proteins, proteins involved in transport and binding, and proteins with regulatory functions were identified. High peptide number, spectrum count, and sequence coverage have been used as indicators of high expression levels and are in good agreement with codon bias analysis. Predicted intein peptides were detected in MJ1043 (DNA-directed RNA polymerase, subunit A"), MJ0542 (phosphoenolpyruvate synthase), MJ0782 (transcription initiation factor IIB), and MJ1422 (putative replication factor C subunit). New peptides created by protein splicing were detected in MJ0885 (DNA dependent DNA polymerase), MJ0542, and MJ0782. The methanogenesis pathway and the enzymes involved are also discussed.

Amino Acid Sequence↗