Hybridization and introgression can have important consequences for the evolution, ecology and epidemiology of pathogenic organisms. We examined the dynamics of hybridization between a trematode parasite of humans, Schistosoma mansoni, and its sister species, S. rodhaini, a rodent parasite, in a natural hybrid zone in western Kenya. Using microsatellite markers, rDNA and mtDNA, we showed that hybrids between the two species occur in nature, are fertile and produce viable offspring through backcrosses with S. mansoni. Averaged across collection sites, individuals of hybrid ancestry comprised 7.2% of all schistosomes collected, which is a large proportion given that one of the parental species, S. rodhaini, comprised only 9.1% of the specimens. No F1 individuals were collected and all hybrids represented backcrosses with S. mansoni that were of the first or successive generations. The direction of introgression appears highly asymmetric, causing unidirectional gene flow from the rodent parasite, S. rodhaini, to the human parasite, S. mansoni. Hybrid occurrence was seasonal and most hybrids were collected during the month of September over a 2-year period, a time when S. rodhaini was also abundant. We also examined the sex ratios and phenotypic differences between the hybrids and parental species, including the number of infective stages produced in the snail host and the time of day the infective stages emerge. No statistical differences were found in any of these characteristics, and most of the hybrids showed an emergence pattern similar to that of S. mansoni. One individual, however, showed a bimodal emergence pattern that was characteristic of both parental species. In conclusion, these species maintain their identity despite hybridization, although introgression may cause important alterations of the biology and epidemiology of schistosomiasis in this region.

A recently developed high-throughput technique that allows multi-locus microsatellite analysis of individual miracidia of Schistosoma mansoni was used to assess the levels of genetic diversity and population structure in 12 infrapopulations of the parasite, each infrapopulation derived from an infected school child from the Mwea area, central Kenya. The mean number of alleles per locus was in the range 8.22 -10.22, expected heterozygosity in Hardy-Weinberg equilibrium was 0.68 -0.70, and pair wise F ST values ranged from 0.16 −3.98% for the 12 infrapopulations. Although the genetic diversity within each infrapopulation of S. mansoni in this area was generally high, low levels of genetic structure were observed, suggestive of high levels of gene flow among infrapopulations. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Private alleles were found in 8 of the 12 infrapopulation, the highest number of private alleles recorded per infrapopulation was 3. Our data suggest that the level of gene flow among infrapopulations of S. mansoni in Mwea is extremely high thus, providing opportunity for spread of rare alleles, including those that may confer character traits such as drug resistance and virulence. NIH Public AccessAuthor Manuscript Acta Trop. Author manuscript; available in PMC 2010 September 1.

We examined the spatial structure of Schistosoma mansoni, a parasite of humans, from natural infections at two levels: across the Lake Victoria basin of Kenya and among snail hosts. Using 20 microsatellite markers we examined geographic patterns of relatedness and population structure of cercariae and found weak, but significant structure detected by some, but not all analyses. We hypothesize structure created by aggregations of clonal individuals or adherence of hosts to local transmission sites is eroded by high amounts of gene flow in the region. This finding also supports previous hypotheses concerning the evolution of drug resistance in the region. Intrasnail dynamics were investigated in the context of aggregation and kin selection theory to determine how relatedness and also sex influence host sharing and host exploitation. Cercarial production did not differ significantly between snails with one or two genotypes suggesting that mixed infections resulted in decreased individual fitness and provides a framework for reproductive competition. Coinfection patterns in snails were independent of parasite relatedness indicating that schistosomes were not aggregated according to their relatedness and that kin selection was not influencing host sharing. Additionally, host exploitation in coinfections (measured by cercarial production) was not negatively correlated with relatedness, as predicted by classical models due to increased competition and thus exploitation when parasites are unrelated. Because of the low levels of relatedness within the population, schistosomes may rarely encounter close relatives and kin selection mechanisms that influence the distribution of individuals within snails or the virulence mode of the parasites may simply have not evolved. KeywordsSchistosoma mansoni; Genetic Structure; Lake Victoria; Kenya; Coinfection; Host Sharing; Competition; Kin Selection Understanding the transmission patterns of pathogens among host populations is an important goal for the control of infectious diseases. Population genetics can be used to reveal patterns of pathogen transmission. For instance, population subdivision into separate transmission cycles, the amount of gene flow among subpopulations, and the role of hosts and geography in structuring subpopulations can be revealed with these methods (Tibayrenc, 1999;Criscione et al., 2005;Archie et al., 2009). This information also can be used to predict evolutionary dynamics of pathogens such as the evolution of drug resistance alleles and local adaptation or divergence of pathogens (Criscione et al., 2005;Huyse et al., 2005 NIH-PA Author ManuscriptNIH-PA Author Manuscript NIH-PA Author ManuscriptSchistosomiasis is a chronic and debilitating disease that is estimated to infect 207 million people world wide, most of whom are in sub-Saharan Africa (King et al., 2005;Steinmann et al., 2006). Schistosoma mansoni is the primary etiological agent of schistosomiasis in the Lake Victoria basin of Africa, a region where schistosomiasis has a serious impact...

Schistosomiasis is one of the major unconquered infectious diseases afflicting people of developing countries, particularly in Africa. A deeper understanding of the epidemiology of schistosomes is complicated by the intravascular location of adult worms which makes them routinely unavailable for study. Their progeny, miracidia, which are hatched from eggs that are passed in feces, are available and can provide valuable insights about human infections, but they are small in size, hindering robust molecular analyses. Here we present a new high-throughput technique to assess the genotypes at 21 previously published microsatellite loci for individual miracidia of S. mansoni. The 21 loci can be amplified in four multiplexed PCR reactions; however, enough template is produced for approximately six PCR reactions, which allows for additional PCR reactions for resampling or obtaining additional data. We validated this technique using a pedigree study employing laboratory crosses of S. mansoni from Kenya to obtain sets of parents and offspring. Of 23 loci examined, 21 loci were found to be reliable: false alleles were rare and missing alleles due to allelic dropout occurred at only two loci in approximately 5% of the offspring. The latter type of error can be further reduced by reamplification which is possible with our method. This technique is amenable to a 96-well format thus facilitating analysis of larger samples of miracidia, allowing more robust molecular epidemiological studies of S. mansoni to infer population size, population structure, gene flow, mating systems, speciation, and host race formation.

For ethical and logistical reasons, population-genetic studies of parasites often rely on the non-invasive sampling of offspring shed from their definitive hosts. However, if the sampled offspring are naturally derived from a small number of parents, then the strong family structure can result in biased population-level estimates of genetic parameters, particularly if reproductive output is skewed. Here, we document and correct for the strong family structure present within schistosome offspring (miracidia) that were collected non-invasively from humans in western Kenya. By genotyping 2,424 miracidia from 12 patients at 12 microsatellite loci and using a sibship clustering program, we found that the samples contained large numbers of siblings. Furthermore, reproductive success of the breeding schistosomes was skewed, creating differential representation of each family in the offspring pool. After removing the family structure with an iterative jacknifing procedure, we demonstrated that the presence of relatives led to inflated estimates of genetic differentiation and linkage disequilibrium, and downwardly-biased estimates of inbreeding coefficients (FIS). For example, correcting for family structure yielded estimates of FST among patients that were 27 times lower than estimates from the uncorrected samples. These biased estimates would cause one to draw false conclusions regarding these parameters in the adult population. We also found from our analyses that estimates of the number of full sibling families and other genetic parameters of samples of miracidia were highly intercorrelated but are not correlated with estimates of worm burden obtained via egg counting (Kato-Katz). Whether genetic methods or the traditional Kato-Katz estimator provide a better estimate of actual number of adult worms remains to be seen. This study illustrates that family structure must be explicitly accounted for when using offspring samples to estimate the genetic parameters of adult parasite populations.