Cryptosporidium parvum genome project

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Abstract

A lack of basic understanding of parasite biology has been a limiting factor in designing effective means of treating and preventing disease caused by Cryptosporidium parvum. Since the genomic DNA sequence encodes all of the heritable information responsible for development, disease pathogenesis, virulence, species permissiveness and immune resistance, a comprehensive knowledge of the C. parvum genome will provide the necessary information required for cost-effective and targeted research into disease prevention and treatment. With the recent advances in high-throughput automated DNA sequencing capabilities, large-scale genomic sequencing has become a cost-effective and time-efficient approach to understanding the biology of an organism. In addition, the continued development and implementation of new software tools that can scan raw sequences for signs of genes and then identify clues as to potential functions, has provided the final realization of the potential rewards of genome sequencing. To further our understanding of C. parvum biology, we have initiated a random shotgun sequencing approach to obtain the complete sequence of the IOWA isolate of C. parvum. Our progress to date has demonstrated that sequencing of the C. parvum genome will be an efficient and cost-effective method for gene discovery of this important eukaryotic pathogen. This will allow for the identification of key metabolic and immunological features of the organism that will provide the basis for future development of safe and effective strategies for prevention and treatment of disease in AIDS patients, as well as immunocompetent hosts. Moreover, by obtaining the complete sequence of the C. parvum genome, effective methods for subspecific differentiation (strain typing) and epidemiologic surveillance (strain tracking) of this pathogen can be developed. Copyright © 2001 John Wiley & Sons, Ltd.

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APA

Abrahamsen, M. S. (2001). Cryptosporidium parvum genome project. In Comparative and Functional Genomics (Vol. 2, pp. 19–21). https://doi.org/10.1002/cfg.67

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