Literature DB >> 16503512

Differential evolution of repetitive sequences in Cryptosporidium parvum and Cryptosporidium hominis.

Sultan Tanriverdi1, Giovanni Widmer.   

Abstract

Cryptosporidium parvum and Cryptosporidium hominis are two morphologically identical species of Apicomplexan protozoa infecting humans. Although the genomes of these species are 97% identical, their host range is strikingly different. C. parvum infects humans and animals and is primarily a zoonotic infection, whereas C. hominis is typically not detected in animals. The extent of genetic polymorphism in both species has been surveyed locally, but not on a larger geographical scale. Herein, a collection of unrelated C. parvum and C. hominis isolates was genotyped using multiple, randomly distributed micro- and minisatellites. In average, minisatellites, consisting of tandemly repeated sequence motifs of 6-24 basepair, were more polymorphic than microsatellites. When the average number of micro- and minisatellite alleles per locus was used as a measure of heterogeneity, no difference between C. parvum and C. hominis was found. However, the frequency distribution of alleles in both species was significantly different and in 6 of the 14 loci the size of the C. parvum and C. hominis repeats did not overlap. Assuming that C. parvum and C. hominis evolved from a common ancestor, these observations suggest a differential evolution of repeat length at these loci.

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Year:  2005        PMID: 16503512     DOI: 10.1016/j.meegid.2005.02.002

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  22 in total

1.  Topological network alignment uncovers biological function and phylogeny.

Authors:  Oleksii Kuchaiev; Tijana Milenkovic; Vesna Memisevic; Wayne Hayes; Natasa Przulj
Journal:  J R Soc Interface       Date:  2010-03-17       Impact factor: 4.118

2.  Infection with Cryptosporidium hominis provides incomplete protection of the host against Cryptosporidium parvum.

Authors:  Abhineet Sheoran; Anthony Wiffin; Giovanni Widmer; Pradeep Singh; Saul Tzipori
Journal:  J Infect Dis       Date:  2012-01-25       Impact factor: 5.226

3.  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

4.  Distribution of Cryptosporidium parvum subtypes in calves in eastern United States.

Authors:  Lihua Xiao; Ling Zhou; Monica Santin; Wenli Yang; Ronald Fayer
Journal:  Parasitol Res       Date:  2006-10-06       Impact factor: 2.289

5.  Molecular characterization of Cryptosporidium isolates from high-excreting young dairy calves in dairy cattle herds in Western France.

Authors:  A Rieux; C Chartier; I Pors; A Delafosse; C Paraud
Journal:  Parasitol Res       Date:  2013-07-03       Impact factor: 2.289

6.  Comparison of single- and multilocus genetic diversity in the protozoan parasites Cryptosporidium parvum and C. hominis.

Authors:  Giovanni Widmer; Yongsun Lee
Journal:  Appl Environ Microbiol       Date:  2010-08-13       Impact factor: 4.792

7.  Multilocus fragment typing and genetic structure of Cryptosporidium parvum Isolates from diarrheic preweaned calves in Spain.

Authors:  Joaquín Quílez; Claudia Vergara-Castiblanco; Luis Monteagudo; Emilio Del Cacho; Caridad Sánchez-Acedo
Journal:  Appl Environ Microbiol       Date:  2011-09-09       Impact factor: 4.792

8.  Depletion of Cryptosporidium parvum oocysts from contaminated sewage by using freshwater benthic pearl clams (Hyriopsis schlegeli).

Authors:  Toshihiko Izumi; Kenji Yagita; Shinji Izumiyama; Takuro Endo; Yasoo Itoh
Journal:  Appl Environ Microbiol       Date:  2012-08-17       Impact factor: 4.792

9.  Subtypes of Cryptosporidium parvum in humans and disease risk.

Authors:  Paul R Hunter; Stephen J Hadfield; Dawn Wilkinson; Iain R Lake; Florence C D Harrison; Rachel M Chalmers
Journal:  Emerg Infect Dis       Date:  2007-01       Impact factor: 6.883

10.  Optimal network alignment with graphlet degree vectors.

Authors:  Tijana Milenković; Weng Leong Ng; Wayne Hayes; Natasa Przulj
Journal:  Cancer Inform       Date:  2010-06-30
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