Browse > Article
http://dx.doi.org/10.3347/kjp.2015.53.1.129

High Genetic Variability of Schistosoma haematobium in Mali and Nigeria  

Ezeh, Charles (Key Laboratory of Parasite and Vector Biology, Ministry of Public Health, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention)
Yin, Mingbo (School of Life Science, Fudan University)
Li, Hongyan (School of Life Science, Fudan University)
Zhang, Ting (Key Laboratory of Parasite and Vector Biology, Ministry of Public Health, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention)
Xu, Bin (Key Laboratory of Parasite and Vector Biology, Ministry of Public Health, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention)
Sacko, Moussa (Laboratory of Parasitology, Institut National de Recherche en Sante Publique)
Feng, Zheng (Key Laboratory of Parasite and Vector Biology, Ministry of Public Health, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention)
Hu, Wei (Key Laboratory of Parasite and Vector Biology, Ministry of Public Health, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention)
Publication Information
Parasites, Hosts and Diseases / v.53, no.1, 2015 , pp. 129-134 More about this Journal
Abstract
Schistosoma haematobium is one of the most prevalent parasitic flatworms, infecting over 112 million people in Africa. However, little is known about the genetic diversity of natural S. haematobium populations from the human host because of the inaccessible location of adult worms in the host. We used 4 microsatellite loci to genotype individually pooled S. haematobium eggs directly from each patient sampled at 4 endemic locations in Africa. We found that the average allele number of individuals from Mali was significantly higher than that from Nigeria. In addition, no significant difference in allelic composition was detected among the populations within Nigeria; however, the allelic composition was significantly different between Mali and Nigeria populations. This study demonstrated a high level of genetic variability of S. haematobium in the populations from Mali and Nigeria, the 2 major African endemic countries, suggesting that geographical population differentiation may occur in the regions.
Keywords
Schistosoma haematobium; allelic diversity; allelic composition; microsatellite; Mali; Nigeria;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Steinmann P, Keiser J, Bos R, Tanner M, Utzinger J. Schistosomiasis and water resources development: systematic review, meta-analysis, and estimates of people at risk. Lancet Infect Dis 2006; 6: 411-425.   DOI
2 van der Werf MJ, de Vlas SJ, Brooker S, Looman CWN, Nagelkerke NJD, Habbema JDF, Engels D. Quantification of clinical morbidity associated with schistosome infection in sub-Saharan Africa. Acta Trop 2003; 86: 125-139.   DOI
3 Brouwer KC, Ndhlovu PD, Wagatsuma Y, Munatsi A, Shiff CJ. Urinary tract pathology attributed to Schistosoma haematobium: does parasite genetics play a role? Am J Trop Med Hyg 2003; 68: 456-462.
4 Gower CM, Gabrielli AF, Sacko M, Dembele R, Golan R, Emery AM, Rollinson D, Webster JP. Population genetics of Schistosoma haematobium: development of novel microsatellite markers and their application to schistosomiasis control in Mali. Parasitology 2011; 138: 978-994.   DOI
5 Wright CA, Ross GC. Enzyme analysis of Schistosoma haematobium. Bull WHO 1983; 61: 307.
6 Littlewood DTJ, Lockyer AE, Webster BL, Johnston DA, Le TH. The complete mitochondrial genomes of Schistosoma haematobium and Schistosoma spindale and the evolutionary history of mitochondrial genome changes among parasitic flatworms. Mol Phylogen Evol 2006; 39: 452-467.   DOI
7 Ellegren H. Microsatellites: simple sequences with complex evolution. Nature Rev Genetics 2004; 5: 435-445.
8 Golan R, Gower CM, Emery AM, Rollinson D, Webster JP. Isolation and characterization of the first polymorphic microsatellite markers for Schistosoma haematobium and their application in multiplex reactions of larval stages. Mol Ecol Resour 2008; 8: 647-649.   DOI
9 Sorensen RE, Rodrigues NB, Oliveira G, Romanha AJ, Minchella DJ. Genetic filtering and optimal sampling of Schistosoma mansoni populations. Parasitology 2006; 133: 443-451.   DOI
10 Curtis J, Sorensen RE, Minchella DJ. Schistosome genetic diversity: the implications of population structure as detected with microsatellite markers. Parasitology 2002; 125: S51-S59.   DOI
11 Pacek P, Sajantila A, Syvanen AC. Determination of allele frequencies at loci with length polymorphism by quantitative analysis of DNA amplified from pooled samples. Genom Res (PCR Meth Appl) 1993; 2: 313-317.   DOI
12 Shaw SH, Carrasquillo MM, Kashuk C, Puffenberger EG, Chakravarti A. Allele frequency distributions in pooled DNA samples: applications to mapping complex disease genes. Genome Res 1998; 8: 111-123.   DOI
13 Silva L, Liu S, Blanton RE. Microsatellite analysis of pooled Schistosoma mansoni DNA: an approach for studies of parasite populations. Parasitology 2006; 132: 331-338.
14 Reinstrup L, Jorgensen A, Vennervald BJ, Kristensen TK. DNA extraction from dried Schistosoma haematobium eggs isolated on nylon filters. Trans R Soc Trop Med Hyg 2012; 106: 270-272.   DOI
15 R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. Vienna, Austria. 2009.
16 Sokal RR, Rohlf FJ. Biometry, 3rd ed. San Francisco, USA. W.H. Freeman and Co. 1995.
17 Sham PC, Curtis D. Monte-Carlo tests for associations between disease and alleles at highly polymorphic loci. Ann Hum Genet 1995; 59: 97-105.   DOI
18 Gower CM, Gouvras AN, Lamberton PHL, Deol A, Shrivastava J, Mutombo PN, Mbuh JV, Norton AJ, Webster BL, Stothard JR, Garba A, Lamine M, Kariuki C, Lang CN, Mkoji GM, Kabatereine NB, Gabrielli AF, Rudge JW, Fenwick A, Sacko M, Dembele R, Lwambo NJS, Tchuem LA, Rollinson D, Webster JP. Population genetic structure of Schistosoma mansoni and Schistosoma haematobium from across six sub-Saharan African countries: implications for epidemiology, evolution and control. Acta Trop 2013; 128: 261-274.   DOI
19 Norton AJ, Gower CM, Lamberton PHL, Webster BL, Lwambo NJS, Blair L, Fenwick A, Webster JP. Genetic consequences of mass human chemotherapy for Schistosoma mansoni: population structure pre- and post-praziquantel treatment in Tanzania. Am J Trop Med Hyg 2010; 83: 951-957.   DOI
20 Webster BL, Emery AM, Webster JP, Gouvras A, Garba A, Diaw O, Seye MM, Tchuente LA, Simoonga C, Mwanga J, Lange CN, Kariuki C, Mohammed KA, Stothard JR, Rollinson D. Genetic diversity within Schistosoma haematobium: DNA barcoding reveals two distinct groups. PLoS Negl Trop Dis 2012; 6: e1882.   DOI
21 Rollinson D, Knopp S, Levitz S, Stothard JR, Tchuente L-AT, Garba A, Mohammed KA, Schur N, Person B, Colley DG, Utzinger J. Time to set the agenda for schistosomiasis elimination. Acta Trop 2013; 128: 423-440.   DOI
22 Whitehorn PR, Tinsley MC, Brown MJF, Darvill B, Goulson D. Genetic diversity, parasite prevalence and immunity in wild bumblebees. Proc Roy Soc B-Biol Sci 2011; 278: 1195-1202.   DOI
23 Glenn T, Lance S, McKee A, Webster BL, Emery E, Zerlotini A, Oliveira G, Rollinson D, Faircloth B. Significant variance in genetic diversity among populations of Schistosoma haematobium detected using microsatellite DNA loci from a genome-wide database. Parasit Vectors 2013; 6: 30   DOI