Article

[Simple sequence repeat variation and small-scale spatial autocorrelation analysis on smooth-shell populations of Oncomelania hupensis in Sichuan province].

Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China.
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi 05/2009; 30(5):497-501. pp.497-501
Source: PubMed

ABSTRACT To analysis the spatial autocorrelation on the small-scale distribution of the genetic variation in the population of Oncomelania hupensis in Puge county, Sichuan province, using simple sequence repeat (SSR) marker.
5 pairs of SSR primer were used to amplify the genomic DNA of Oncomelania hupensis, and the alleles with frequency ranging from 15% to 85% were used to calculate Moran's I spatial autocorrelation coefficients in 14 distance band based on equal numbers of paired samples.
A total of 274 alleles were scored by 5 pairs of SSR primer, the average polymorphic information content of the 274 alleles were 0.965 which indicated a high level of genetic diversity. 39 alleles showed different patterns of positive spatial autocorrelation of genetic variation, which was non-random spatial structure. When the distance band increased, the spatial auto-correlativity decreased based on the average Moran's I value at 14 distance band. The alleles which showed a negative spatial autocorrelation were not found in any distance band.
The spatial distribution of the genetic variation of SSR showed positive spatial autocorrelation in the population of Oncomelania hupensis, and the spatial auto-correlativity decreased with the increase of distance band.

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Keywords

14 distance band
 
39 alleles
 
5 pairs
 
average polymorphic information content
 
calculate Moran's
 
equal numbers
 
genetic diversity
 
genetic variation
 
negative spatial autocorrelation
 
non-random spatial structure
 
Oncomelania hupensis
 
paired samples
 
positive spatial autocorrelation
 
Puge county
 
Sichuan province
 
simple sequence repeat
 
small-scale distribution
 
spatial auto-correlativity
 
spatial autocorrelation
 
spatial distribution