NCBI
PubMed Nucleotide Protein Genome Gene Structure PopSet Taxonomy Help
  Search for    on chromosome(s)   

Map Viewer

Map Viewer Home
Map Viewer Help

NCBI Resources

Genome Project
TaxPlot

Organism Data in GenBank

EST
Genomic
mRNA
Protein
WGS

Sequencing Projects

CryptoGenomeDatabase

Related Resources

CryptoDb

Cryptosporidium parvum genome view
Build 1.1 statistics

  BLAST search


     Lineage: Eukaryota; Alveolata; Apicomplexa; Conoidasida; Coccidia; Eucoccidiorida; Eimeriorina; Cryptosporidiidae; Cryptosporidium; Cryptosporidium parvum

The genome of the protozoan parasite Cryptosporidium parvum is being sequenced by Advanced Genetics Analysis Center (AGAC) at the University of Minnesota (UMN) and is funded by NIAID.

The sequencing strategy is shotgun sequencing to obtain a high genome coverage. In addition to this effort, end-sequencing of large-insert genomic clones will provide a scaffold to verify DNA assembly (carried on at the University of Minnesota). The Cryptosporidium parvum nuclear genome is approximately 10.4 Mb, organized in eight chromosomes with sizes varying from 1.04 to 1.5 Mb. Surprisingly, unlike most Apicomplexa, C. parvum appears to lack a plastid genome.

Cryptosporidium parvum is an obligate intracellular parasite of the phylum Apicomplexa and has a complex life cycle, with multiple asexual and sexual developmental stages. It is the causal agent of acute diarrheal disease in human (third major cause of diarrheal disease worldwide) and animals and has emerged as a very important pathogen worldwide due to its morbidity in AIDS patients. Despite its significance, little is known about this parasite biology and specific chemo- or immunotherapies to treat cryptosporidiosis are yet to be developed.

Sequencing of the C. parvum genome will provide information regarding genome structure and organization, host-parasite interaction and pathogenesis, and the development of drug and vaccine targets.


Available Documentation:


Last modified: Nov 17 2005





Disclaimer | Write to the Help Desk
NCBI | NLM | NIH