Literature DB >> 25687913

Geographical segregation of Cryptosporidium parvum multilocus genotypes in Europe.

Simone M Cacciò1, Valerie de Waele2, Giovanni Widmer3.   

Abstract

Cryptosporidium parvum is a common enteric protozoan pathogen of humans and livestock. Multilocus genotyping based on simple sequence repeat polymorphisms has been used extensively to identify transmission cycles and to investigate the structure of C. parvum populations and of the related pathogen Cryptosporidiumhominis. Using such methods, the zoonotic transmission of C. parvum has been shown to be epidemiologically important. Because different genetic markers have been used in different surveys, the comparison of Cryptosporidium genotypes across different laboratories is often not feasible. Therefore, few comparisons of Cryptosporidium populations across wide geographical areas have been published and our understanding of the epidemiology of cryptosporidiosis is fragmented. Here we report on the genotypic analysis of a large collection of 692 C. parvum isolates originating primarily from cattle and other ruminants from Italy, Ireland and Scotland. Because the same genotypic markers were used in these surveys, it was possible to merge the data. We found significant geographical segregation and a correlation between genetic and geographic distance, consistent with a model of isolation by distance. The presence of strong LD and positive IA(S) values in the combined MLG dataset suggest departure from panmixia, with different population structures of the parasite prevailing in each country.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cryptosporidium parvum; Linkage disequilibrium; Multilocus genotypes; Population structure; Principal coordinate analysis

Mesh:

Substances:

Year:  2015        PMID: 25687913     DOI: 10.1016/j.meegid.2015.02.008

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


  9 in total

1.  Local and global genetic diversity of protozoan parasites: Spatial distribution of Cryptosporidium and Giardia genotypes.

Authors:  Juan C Garcia-R; Nigel French; Anthony Pita; Niluka Velathanthiri; Rima Shrestha; David Hayman
Journal:  PLoS Negl Trop Dis       Date:  2017-07-13

2.  Population Genetic Analysis of Theileria annulata from Six Geographical Regions in China, Determined on the Basis of Micro- and Mini-satellite Markers.

Authors:  Fangyuan Yin; Zhijie Liu; Junlong Liu; Aihong Liu; Diaeldin A Salih; Youquan Li; Guangyuan Liu; Jianxun Luo; Guiquan Guan; Hong Yin
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Review 3.  Direct Sequencing of Cryptosporidium in Stool Samples for Public Health.

Authors:  Arthur Morris; Guy Robinson; Martin T Swain; Rachel M Chalmers
Journal:  Front Public Health       Date:  2019-12-11

4.  Towards a consensus on genotyping schemes for surveillance and outbreak investigations of Cryptosporidium, Berlin, June 2016.

Authors:  R M Chalmers; S Cacciò
Journal:  Euro Surveill       Date:  2016-09-15

5.  Intra-Species Diversity and Panmictic Structure of Cryptosporidium parvum Populations in Cattle Farms in Northern Spain.

Authors:  Ana Ramo; Joaquín Quílez; Luis Monteagudo; Emilio Del Cacho; Caridad Sánchez-Acedo
Journal:  PLoS One       Date:  2016-02-05       Impact factor: 3.240

Review 6.  Molecular epidemiologic tools for waterborne pathogens Cryptosporidium spp. and Giardia duodenalis.

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Journal:  Food Waterborne Parasitol       Date:  2017-09-29

7.  Population structure and geographical segregation of Cryptosporidium parvum IId subtypes in cattle in China.

Authors:  Zhenjie Zhang; Suhui Hu; Wentao Zhao; Yaqiong Guo; Na Li; Zezhong Zheng; Longxian Zhang; Martin Kváč; Lihua Xiao; Yaoyu Feng
Journal:  Parasit Vectors       Date:  2020-08-18       Impact factor: 3.876

8.  Transmission of Cryptosporidium Species Among Human and Animal Local Contact Networks in Sub-Saharan Africa: A Multicountry Study.

Authors:  Ralf Krumkamp; Cassandra Aldrich; Oumou Maiga-Ascofare; Joyce Mbwana; Njari Rakotozandrindrainy; Steffen Borrmann; Simone M Caccio; Raphael Rakotozandrindrainy; Ayola Akim Adegnika; John P A Lusingu; John Amuasi; Jürgen May; Daniel Eibach
Journal:  Clin Infect Dis       Date:  2021-04-26       Impact factor: 9.079

9.  Subtyping Cryptosporidium xiaoi, a Common Pathogen in Sheep and Goats.

Authors:  Yingying Fan; Xitong Huang; Sheng Guo; Fang Yang; Xin Yang; Yaqiong Guo; Yaoyu Feng; Lihua Xiao; Na Li
Journal:  Pathogens       Date:  2021-06-24
  9 in total

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