Publications (4)12.21 Total impact
-
Article: A curated public database for multilocus sequence typing (MLST) and analysis of Haemophilus parasuis based on an optimized typing scheme.
[show abstract] [hide abstract]
ABSTRACT: Haemophilus parasuis causes Glässer's disease and pneumonia in swine. Serotyping is often used to classify isolates but requires reagents that are costly to produce and not standardized or widely available. Sequence-based methods, such as multilocus sequence typing (MLST), offer many advantages over serotyping. An MLST scheme was previously proposed for H. parasuis but genome sequence data only recently available reveals the primers recommended, based on sequences of related bacteria, are not optimal. Here we report modifications to enhance the original method, including primer redesign to eliminate mismatches with H. parasuis sequences and to avoid regions of high sequence heterogeneity, standardization of primer T(m)s and identification of universal PCR conditions that result in robust and reproducible amplification of all targets. The modified typing method was applied to a collection of 127 isolates from North and South America, Europe and Asia. An alignment of the concatenated sequences obtained from seven target housekeeping genes identified 278 variable nucleotide sites that define 116 unique sequence types. A comparison of the original and modified methods using a subset of 86 isolates indicates little difference in overall locus diversity, discriminatory power or in the clustering of strains within Neighbor-Joining trees. Data from the optimized MLST were used to populate a newly created and publicly available H. parasuis database. An accompanying database designed to capture provenance and epidemiological information for each isolate was also created. The modified MLST scheme is highly discriminatory but more robust, reproducible and user-friendly than the original. The MLST database provides a novel resource for investigation of H. parasuis outbreaks and for tracking strain evolution.Veterinary Microbiology 11/2012; · 3.33 Impact Factor -
Article: Genome sequence of Haemophilus parasuis strain 29755.
[show abstract] [hide abstract]
ABSTRACT: Haemophilus parasuis is a member of the family Pasteurellaceae and is the etiologic agent of Glässer's disease in pigs, a systemic syndrome associated with only a subset of isolates. The genetic basis for virulence and systemic spread of particular H. parasuis isolates is currently unknown. Strain 29755 is an invasive isolate that has long been used in the study of Glässer's disease. Accordingly, the genome sequence of strain 29755 is of considerable importance to investigators endeavoring to understand the molecular pathogenesis of H. parasuis. Here we describe the features of the 2,224,137 bp draft genome sequence of strain 29755 generated from 454-FLX pyrosequencing. These data comprise the first publicly available genome sequence for this bacterium.Standards in Genomic Sciences 10/2011; 5(1):61-8. · 1.62 Impact Factor -
Article: Haemophilus parasuis exhibits IgA protease activity but lacks homologs of the IgA protease genes of Haemophilus influenzae.
[show abstract] [hide abstract]
ABSTRACT: Haemophilus parasuis, the bacterium responsible for Glässer's disease, is a pathogen of significant concern in modern high-health swine production systems but there is little information regarding the identity or function of its virulence factors. Several important human mucosal pathogens, including the closely related bacterium Haemophilus influenzae, utilize IgA proteases to aid in defeating the host immune response and facilitate disease but it is unknown whether H. parasuis synthesizes any product with IgA protease activity. To investigate potential virulence mechanisms of H. parasuis, we evaluated five strains for their ability to digest purified IgA. Western blotting demonstrated cleavage of swine IgA, but not human IgA1, following incubation with culture supernatants from three strains, two of which are known to cause invasive disease. No genes with homology to the H. influenzae IgA protease genes iga and igaB could be identified in any H. parasuis strain using either PCR or Southern blotting. These results demonstrate that a novel IgA protease produced by some strains of H. parasuis cleaves the swine IgA heavy chain at a site not found in human IgA1.Veterinary Microbiology 06/2011; 153(3-4):407-12. · 3.33 Impact Factor -
Article: Characterization and comparative analysis of the genes encoding Haemophilus parasuis outer membrane proteins P2 and P5.
[show abstract] [hide abstract]
ABSTRACT: Haemophilus parasuis is a swine pathogen of significant industry concern, but little is known about how the organism causes disease. A related human pathogen, Haemophilus influenzae, has been better studied, and many of its virulence factors have been identified. Two of these, outer membrane proteins P2 and P5, are known to have important virulence properties. The goals of this study were to identify, analyze, and compare the genetic relatedness of orthologous genes encoding P2 and P5 proteins in a diverse group of 35 H. parasuis strains. Genes encoding P2 and P5 proteins were detected in all H. parasuis strains evaluated. The predicted amino acid sequences for both P2 and P5 proteins exhibit considerable heterogeneity, particularly in regions corresponding to predicted extracellular loops. Twenty-five variants of P2 and 17 variants of P5 were identified. The P2 proteins of seven strains were predicted to contain a highly conserved additional extracellular loop compared to the remaining strains and to H. influenzae P2. Antigenic-site predictions coincided with predicted extracellular loop regions of both P2 and P5. Neighbor-joining trees constructed using P2 and P5 sequences predicted divergent evolutionary histories distinct from those predicted by a multilocus sequence typing phylogeny based on partial sequencing of seven housekeeping genes. Real-time reverse transcription-PCR indicated that both genes are expressed in all of the strains.Journal of bacteriology 08/2009; 191(19):5988-6002. · 3.94 Impact Factor
Top co-authors
Top Journals
Institutions
-
2011
-
United States Department of Agriculture
- Agricultural Research Service (ARS)
Washington, D. C., DC, USA
-
-
2009
-
Agricultural Research Service
Washington, D. C., DC, USA
-
