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High genetic variability of Schistosoma haematobium in Mali and Nigeria.

Ezeh C, Yin M, Li H, Zhang T, Xu B, Sacko M, Feng Z, Hu W - Korean J. Parasitol. (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory of Parasite and Vector Biology, Ministry of Public Health, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai 200025, China.

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.

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Comparison of allelic composition among 3 locations in Nigeria.
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f2-kjp-53-1-129: Comparison of allelic composition among 3 locations in Nigeria.

Mentions: The results indicated that the mean allele number ranged from 2.3 to 5.9 across all loci, and the allele size ranged 110-232 bp at locus A1, 103-364 at A6, 118-365 at B4, and 107-360 at C2 (Table 1). Secondly, we found that the mean number of alleles per locus in the population from Mali was significantly higher than that from Nigeria at the locus A6 (5.8 vs 4.3 alleles; t=2.32, P=0.02), B4 (5.9 vs 2.3; t=4.76, P<0.001), and C2 (4.3 vs 2.3; t=4.38, P<0.001), except at A1 (5.1 vs 4.7; t=0.86; P=0.39) (Table 2). We did not detect significant differences in allelic composition among the samples from 3 locations in Nigeria at any of the 4 loci, assessed by the Monte Carlo simulation approach (Fig. 2). Meantime, the results showed that the allelic composition differed significantly between the Mali and Nigeria populations at 3 loci (A6, B4, and C2), but not at A1 (P=0.25) (Fig. 3).


High genetic variability of Schistosoma haematobium in Mali and Nigeria.

Ezeh C, Yin M, Li H, Zhang T, Xu B, Sacko M, Feng Z, Hu W - Korean J. Parasitol. (2015)

Comparison of allelic composition among 3 locations in Nigeria.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4384788&req=5

f2-kjp-53-1-129: Comparison of allelic composition among 3 locations in Nigeria.
Mentions: The results indicated that the mean allele number ranged from 2.3 to 5.9 across all loci, and the allele size ranged 110-232 bp at locus A1, 103-364 at A6, 118-365 at B4, and 107-360 at C2 (Table 1). Secondly, we found that the mean number of alleles per locus in the population from Mali was significantly higher than that from Nigeria at the locus A6 (5.8 vs 4.3 alleles; t=2.32, P=0.02), B4 (5.9 vs 2.3; t=4.76, P<0.001), and C2 (4.3 vs 2.3; t=4.38, P<0.001), except at A1 (5.1 vs 4.7; t=0.86; P=0.39) (Table 2). We did not detect significant differences in allelic composition among the samples from 3 locations in Nigeria at any of the 4 loci, assessed by the Monte Carlo simulation approach (Fig. 2). Meantime, the results showed that the allelic composition differed significantly between the Mali and Nigeria populations at 3 loci (A6, B4, and C2), but not at A1 (P=0.25) (Fig. 3).

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory of Parasite and Vector Biology, Ministry of Public Health, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai 200025, China.

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.

Show MeSH