Literature DB >> 23915002

Multilocus patterns of genetic variation across Cryptosporidium species suggest balancing selection at the gp60 locus.

J L Abal-Fabeiro1, X Maside, X Bello, J Llovo, C Bartolomé.   

Abstract

Cryptosporidium is an apicomplexan protozoan that lives in most vertebrates, including humans. Its gp60 gene is functionally involved in its attachment to host cells, and its high level of genetic variation has made it the reference marker for sample typing in epidemiological studies. To understand the origin of such high diversity and to determine the extent to which this classification applies to the rest of the genome, we analysed the patterns of variation at gp60 and nine other nuclear loci in isolates of three Cryptosporidium species. Most loci showed low genetic polymorphism (πS <1%) and similar levels of between-species divergence. Contrastingly, gp60 exhibited very different characteristics: (i) it was nearly ten times more variable than the other loci; (ii) it displayed a significant excess of polymorphisms relative to between-species differences in a maximum-likelihood Hudson-Kreitman-Aguadé test; (iii) gp60 subtypes turned out to be much older than the species they were found in; and (iv) showed a significant excess of polymorphic variants shared across species from random expectations. These observations suggest that this locus evolves under balancing selection and specifically under negative frequency-dependent selection (FDS). Interestingly, genetic variation at the other loci clusters very well within the groups of isolates defined by gp60 subtypes, which may provide new tools to understand the genome-wide patterns of genetic variation of the parasite in the wild. These results suggest that gp60 plays an active and essential role in the life cycle of the parasite and that genetic variation at this locus might be essential for the parasite's long-term success.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  Cryptosporidium; balancing selection; frequency-dependent selection; gp60; trench warfare model

Mesh:

Substances:

Year:  2013        PMID: 23915002     DOI: 10.1111/mec.12425

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  10 in total

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Authors:  Johanna Uran-Velasquez; Juan F Alzate; Ana E Farfan-Garcia; Oscar G Gomez-Duarte; Larry L Martinez-Rosado; Diego D Dominguez-Hernandez; Winston Rojas; Ana Luz Galvan-Diaz; Gisela M Garcia-Montoya
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Authors:  Christen Rune Stensvold; Jessica Beser; Charlotte Axén; Marianne Lebbad
Journal:  J Clin Microbiol       Date:  2014-04-16       Impact factor: 5.948

4.  Hypothesis: Cryptosporidium genetic diversity mirrors national disease notification rate.

Authors:  Katsuhisa Takumi; Simone M Cacciò; Joke van der Giessen; Lihua Xiao; Hein Sprong
Journal:  Parasit Vectors       Date:  2015-06-06       Impact factor: 3.876

5.  Fitness estimates from experimental infections predict the long-term strain structure of a vector-borne pathogen in the field.

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Authors:  Cong Liao; Tao Wang; Anson V Koehler; Yingying Fan; Min Hu; Robin B Gasser
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7.  The First Evidence of Cryptosporidium meleagridis Infection in a Colon Adenocarcinoma From an Immunocompetent Patient.

Authors:  Żaneta Kopacz; Martin Kváč; Paweł Karpiński; Andrzej B Hendrich; Maria M Sąsiadek; Przemysław Leszczyński; Bohumil Sak; John McEvoy; Marta Kicia
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8.  Comparative genomic analysis of the principal Cryptosporidium species that infect humans.

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Journal:  PeerJ       Date:  2020-12-02       Impact factor: 2.984

Review 9.  Challenges for Cryptosporidium Population Studies.

Authors:  Rodrigo P Baptista; Garrett W Cooper; Jessica C Kissinger
Journal:  Genes (Basel)       Date:  2021-06-10       Impact factor: 4.096

10.  Cryptosporidium viatorum from the native Australian swamp rat Rattus lutreolus - An emerging zoonotic pathogen?

Authors:  Anson V Koehler; Tao Wang; Shane R Haydon; Robin B Gasser
Journal:  Int J Parasitol Parasites Wildl       Date:  2018-01-08       Impact factor: 2.674

  10 in total

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