Abstract

Patterns of diversity in pathogen genomes provide a window into the spatiotemporal spread of disease. In this study, we tested the hypothesis that Schistosoma mansoni parasites form genetic clusters that coincide with the communities of their human hosts. We also looked for genetic clustering of parasites at the sub-community level. Our data consists of 14 microsatellite DNA markers, typed from pooled DNA samples from N=254 infected individuals living in three Brazilian communities. We found a one-to-one correspondence between genetic clusters found by K-means cluster analysis and communities when K=3. These clusters are also easily identified in a neighbor-joining tree and principal coordinates plots. K-means analysis with K>3 also reveals genetic clusters of parasites at the sub-community level. These sub-clusters also appear on the neighbor-joining tree and principal coordinates plots. A surprising finding is a genetic relationship between subgroups in widely separated human communities. This connection suggests the existence of common transmission sites that have wide influence. In summary, the genetic structure of S. mansoni in Brazil juxtaposes local isolation that is occasionally broken by long-range migration. Permanent eradication of schistosomes will require both local efforts and the identification of regional infection reservoirs.

Details

Title
Cryptic population structure and transmission dynamics uncovered for Schistosoma mansoni populations by genetic analyses
Author
Long, Jeffrey C 1 ; Taylor, Sarah E 1 ; Barbosa, Lucio M 2 ; Silva, Luciano K 3 ; Reis, Mitermayer G 4 ; Blanton, Ronald E 5 

 University of New Mexico, Department of Anthropology, Albuquerque, USA (GRID:grid.266832.b) (ISNI:0000 0001 2188 8502) 
 Bahiana School of Medicine and Public Health, Salvador, Brazil (GRID:grid.414171.6) (ISNI:0000 0004 0398 2863); Ministry of Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Brazil (GRID:grid.414596.b) (ISNI:0000 0004 0602 9808) 
 Ministry of Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Brazil (GRID:grid.414596.b) (ISNI:0000 0004 0602 9808) 
 Ministry of Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Brazil (GRID:grid.414596.b) (ISNI:0000 0004 0602 9808); Federal University of Bahia, Faculty of Medicine of Bahia, Salvador, Brazil (GRID:grid.8399.b) (ISNI:0000 0004 0372 8259); Yale University, Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA (GRID:grid.47100.32) (ISNI:0000000419368710) 
 Tulane University, Department of Tropical Medicine, School of Public Health and Tropical Medicine, New Orleans, USA (GRID:grid.265219.b) (ISNI:0000 0001 2217 8588) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2621430579
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.