Literature DB >> 30367861

The effect of sample size on estimates of genetic differentiation and effective population size for Schistosoma mansoni populations.

Lúcio M Barbosa1, Bruna C Barros2, Moreno de Souza Rodrigues3, Luciano K Silva3, Mitermayer G Reis1, Ronald E Blanton4.   

Abstract

Eradication or local extinction of the human parasite Schistosoma mansoni is a goal for many control programs. Population genetic analyses are helping to evaluate and guide these efforts, yet what to sample, how to sample and how densely to sample is not well established. We determined the S. mansoni allele frequency profile of nearly all infected inhabitants in two small Brazilian communities and created sub-samples representing 5-50% of all detected human infections (infrapopulations). Samples were selected at random with replacement, and each size class was replicated 100 times. Mean pairwise differentiation for all infrapopulations (Di) and the variance effective population size (Ne) were calculated for each sample. Prior to community-wide treatment, the true mean Di was moderate (0.095-0.123) and Ne large (>30,000). Most samples of <50% of those infected produced estimates outside of 5% of the true value. For estimates within 10%, sample sizes of >15% of all infrapopulations were required. At the 3 year follow-up after treatment, the Di increased and Ne was reduced by >15 fold. At this time sampling of >30-45% was needed to achieve the same accuracy. Following a second treatment and 4 years from baseline, the Di further increased and Ne decreased with little change in the sampling effort required. Extensive sampling is required for accurate estimates of these important population parameters. Characteristics such as population census size, infection prevalence, the community's treatment history and the degree of infrapopulation differentiation should be taken into account. The intensity of infection was weakly correlated with the ability of a single infrapopulation to represent the component population (Dic), indicating a tendency toward random acquisition of parasite genotypes. This also suggests that targeted sampling from those most heavily infected will better represent the genetic diversity of the whole community than a random sample of infrapopulations.
Copyright © 2018 Australian Society for Parasitology. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Brazil; Effective population size; Infrapopulation; Jost’s D; Population genetics; Stool eggs

Mesh:

Year:  2018        PMID: 30367861      PMCID: PMC6261692          DOI: 10.1016/j.ijpara.2018.10.001

Source DB:  PubMed          Journal:  Int J Parasitol        ISSN: 0020-7519            Impact factor:   3.981


  45 in total

1.  Microsatellite analysis of pooled Schistosoma mansoni DNA: an approach for studies of parasite populations.

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Journal:  Parasitology       Date:  2005-10-28       Impact factor: 3.234

2.  Statistics in brief: the importance of sample size in the planning and interpretation of medical research.

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Journal:  Clin Orthop Relat Res       Date:  2008-06-20       Impact factor: 4.176

Review 3.  Power failure: why small sample size undermines the reliability of neuroscience.

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Journal:  Nat Rev Neurosci       Date:  2013-04-10       Impact factor: 34.870

Review 4.  Schistosome genetic diversity: the implications of population structure as detected with microsatellite markers.

Authors:  J Curtis; R E Sorensen; D J Minchella
Journal:  Parasitology       Date:  2002       Impact factor: 3.234

5.  Inbreeding within human Schistosoma mansoni: do host-specific factors shape the genetic composition of parasite populations?

Authors:  F Van den Broeck; L Meurs; J A M Raeymaekers; N Boon; T N Dieye; F A M Volckaert; K Polman; T Huyse
Journal:  Heredity (Edinb)       Date:  2014-03-12       Impact factor: 3.821

6.  Data quality control in genetic case-control association studies.

Authors:  Carl A Anderson; Fredrik H Pettersson; Geraldine M Clarke; Lon R Cardon; Andrew P Morris; Krina T Zondervan
Journal:  Nat Protoc       Date:  2010-08-26       Impact factor: 13.491

7.  Sex-specific correlation between heterozygosity and clone size in the trematode Schistosoma mansoni.

Authors:  Franck Prugnolle; Marc Choisy; André Théron; Patrick Durand; Thierry De Meeûs
Journal:  Mol Ecol       Date:  2004-09       Impact factor: 6.185

8.  Identification of a gene regulating the tissue expression of a phosphoglucomutase locus in rainbow trout.

Authors:  F W Allendorf; K L Knudsen; S R Phelps
Journal:  Genetics       Date:  1982-10       Impact factor: 4.562

9.  Genetic structure of Schstosoma mansoni in western Kenya: the effects of geography and host sharing.

Authors:  M L Steinauer; B Hanelt; L E Agola; G M Mkoji; E S Loker
Journal:  Int J Parasitol       Date:  2009-05-21       Impact factor: 3.981

10.  Characteristics of the human host have little influence on which local Schistosoma mansoni populations are acquired.

Authors:  Lúcio M Barbosa; Luciano K Silva; Eliana A Reis; Theomira M Azevedo; Jackson M Costa; Walter A Blank; Mitermayer G Reis; Ronald E Blanton
Journal:  PLoS Negl Trop Dis       Date:  2013-12-05
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  1 in total

Review 1.  Population Structure and Dynamics of Helminthic Infection: Schistosomiasis.

Authors:  Ronald E Blanton
Journal:  Microbiol Spectr       Date:  2019-07
  1 in total

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