Comparison of genetic diversity and population structure between two Schistosoma japonicum isolates—the field and the laboratory

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• 作者：Chao-Rong Bian ; Yu-Meng Gao ; Poppy H. L. Lamberton ; Da-Bing Lu
• 关键词：S. japonicum ; Genetic diversity ; Population structure ; Field ; Laboratory
• 刊名：Parasitology Research
• 出版年：2015
• 出版时间：June 2015
• 年：2015
• 卷：114
• 期：6
• 页码：2357-2362
• 全文大小：433 KB
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• 作者单位：Chao-Rong Bian (1) (2)
  Yu-Meng Gao (1) (2)
  Poppy H. L. Lamberton (3)
  Da-Bing Lu (1) (2)
  
  1. Department of Epidemiology and Statistics, School of Public Health, Soochow University, Suzhou, 215123, China
  2. Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, Suzhou, 215123, People’s Republic of China
  3. Department of Infectious Disease Epidemiology, Imperial College London, London, W2 1PG, UK
  
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Biomedicine
  Medical Microbiology
  Microbiology
  Immunology
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-1955

文摘

Schistosomiasis japonicum is one of the most important human parasitic diseases, and a number of studies have recently elucidated the difference in biological characteristics of S. japonicum among different parasite isolates, for example, between the field and the laboratory isolates. Therefore, the understanding of underlying genetic mechanism is of both theoretical and practical importance. In this study, we used six microsatellite markers to assess genetic diversity, population structure, and the bottleneck effect (a sharp reduction in population size) of two parasite populations, one field and one laboratory. A total of 136 S. japonicum cercariae from the field and 86 from the laboratory, which were genetically unique within single snails, were analyzed. The results showed bigger numbers of alleles and higher allelic richness in the field parasite population than in the laboratory indicating lower genetic diversity in the laboratory parasites. A bottleneck effect was detected in the laboratory population. When the field and laboratory isolates were combined, there was a clear distinction between two parasite populations using the software Structure. These genetic differences may partially explain the previously observed contrasted biological traits.