Haemophilus ducreyi is the causative agent of chancroid, a sexually transmitted genital ulcerative disease. The World Health Organization estimates the annual incidence of chancroid to be over 9 million cases of per year. In addition to the morbidity caused by chancroid, H. ducreyi infection facilitates the heterosexual transmission of the AIDS virus. It has been estimated that there is a 10-300 fold increase in the relative risk of acquiring HIV after a single exposure if the subject has a genital ulcer disease. The mechanisms responsible for pathogenesis, ulcer formation, facilitation of HIV transmission, and the development of protective immunity are poorly understood. Since the landmark publication of Fleishman et al. in 1995, sequencing of prokaryotic genomes has become an accepted strategy for gene discovery, as well as an accepted strategy for enhancing our understanding of basic metabolic processes, and in the case of pathogens, a strategy for increasing our understanding of virulence and antimicrobial resistance mechanisms. In this application, we propose to sequence and annotate the 1.8 Mb chromosome of H. ducreyi. A whole genome shotgun approach will be employed. Additionally, a large fragment library will be prepared in BACs to serve as a scaffolding for the ordering of contigs and for gap closure. The NIH Human Genome Project standard of 1 error per 10,000 assembled bases will be maintained for this project. Primary annotation of the assembled sequence will be performed after assembly. Secondary annotation will be completed in collaboration with Gerald Myers' group at Los Alamos. Dr. Myers' group is developing a integrated data base with detailed annotation of sequences from sexually transmitted pathogens including Treponema pallidum, Neisseria gonorrhoeae and Chlamydia trachomatis. Genome sequences for these organisms are near completion. The availability of the data from this proposed effort as well as data accumulating from other STD and non STD projects will facilitate the development of new testable hypotheses regarding the virulence mechanisms and provide background data necessary for rational vaccine development.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
1R01AI045091-01
Application #
2842044
Study Section
Genome Study Section (GNM)
Program Officer
Hitchcock, Penelope
Project Start
1999-05-15
Project End
2001-05-14
Budget Start
1999-05-15
Budget End
2001-05-14
Support Year
1
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Nationwide Children's Hospital
Department
Type
DUNS #
City
Columbus
State
OH
Country
United States
Zip Code
43205
Heywood, Wendy; Henderson, Brian; Nair, Sean P (2005) Cytolethal distending toxin: creating a gap in the cell cycle. J Med Microbiol 54:207-16
Munson Jr, Robert S; Zhong, Huachun; Mungur, Rachna et al. (2004) Haemophilus ducreyi strain ATCC 27722 contains a genetic element with homology to the vibrio RS1 element that can replicate as a plasmid and confer NAD independence on haemophilus influenzae. Infect Immun 72:1143-6
Mohd-Zain, Zaini; Turner, Sarah L; Cerdeno-Tarraga, Ana M et al. (2004) Transferable antibiotic resistance elements in Haemophilus influenzae share a common evolutionary origin with a diverse family of syntenic genomic islands. J Bacteriol 186:8114-22
Scheffler, N Karoline; Falick, Arnold M; Hall, Steven C et al. (2003) Proteome of Haemophilus ducreyi by 2-D SDS-PAGE and mass spectrometry: strain variation, virulence, and carbohydrate expression. J Proteome Res 2:523-33
Nika, Joseph R; Latimer, Jo L; Ward, Christine K et al. (2002) Haemophilus ducreyi requires the flp gene cluster for microcolony formation in vitro. Infect Immun 70:2965-75
Spinola, Stanley M; Bauer, Margaret E; Munson Jr, Robert S (2002) Immunopathogenesis of Haemophilus ducreyi infection (chancroid). Infect Immun 70:1667-76
Wood, G E; Dutro, S M; Totten, P A (2001) Haemophilus ducreyi inhibits phagocytosis by U-937 cells, a human macrophage-like cell line. Infect Immun 69:4726-33
Ray, W C; Munson Jr, R S; Daniels, C J (2001) Tricross : using dot-plots in sequence-id space to detect uncataloged intergenic features. Bioinformatics 17:1105-12