Literature DB >> 10557152

Does Cryptosporidium parvum have a clonal population structure?

F M Awad-El-Kariem1.   

Abstract

Cryptosporidiosis, the disease caused in humans by the opportunistic parasite Cryptosporidium parvum, is the result of zoonotic or anthroponotic transmission. Molecular characterization of different isolates from humans and other mammalian species has recently shown this species to be heterogeneous; this heterogeneity has been linked to the host of isolation, suggesting that the parasites causing zoonotic cryptosporidiosis and those propagated by anthroponotic transmission are genetically distinct. Here, Fatih Awad-El-Kariem provides an update on the taxonomic and epidemiological significance of these observations, and discusses evidence for and against the clonality hypothesis as a model to explain strain variation in this species.

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Year:  1999        PMID: 10557152     DOI: 10.1016/s0169-4758(99)01567-7

Source DB:  PubMed          Journal:  Parasitol Today        ISSN: 0169-4758


  4 in total

1.  Evidence of host-associated populations of Cryptosporidium parvum in Italy.

Authors:  Rosanna Drumo; Giovanni Widmer; Liam J Morrison; Andy Tait; Vincenzo Grelloni; Nicoletta D'Avino; Edoardo Pozio; Simone M Cacciò
Journal:  Appl Environ Microbiol       Date:  2012-03-02       Impact factor: 4.792

2.  Novel cryptosporidium genotypes in sporadic cryptosporidiosis cases: first report of human infections with a cervine genotype.

Authors:  Corinne S L Ong; Diane L Eisler; Alireza Alikhani; Vicki W K Fung; Joan Tomblin; William R Bowie; Judith L Isaac-Renton
Journal:  Emerg Infect Dis       Date:  2002-03       Impact factor: 6.883

Review 3.  Cryptosporidium taxonomy: recent advances and implications for public health.

Authors:  Lihua Xiao; Ronald Fayer; Una Ryan; Steve J Upton
Journal:  Clin Microbiol Rev       Date:  2004-01       Impact factor: 26.132

4.  The population structure of the Cryptosporidium parvum population in Scotland: a complex picture.

Authors:  Liam J Morrison; Marianne E Mallon; Huw V Smith; Annette MacLeod; Lihua Xiao; Andy Tait
Journal:  Infect Genet Evol       Date:  2007-11-09       Impact factor: 3.342

  4 in total

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