[Simple sequence repeat variation and small-scale spatial autocorrelation analysis on smooth-shell populations of Oncomelania hupensis in Sichuan province].
| Autor: | Guo JT; Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China., Zhou YB, Zhang ZJ, Liu GM, Yihuo WL, Wang HY, Zhao GM |
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| Jazyk: | čínština |
| Zdroj: | Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi [Zhonghua Liu Xing Bing Xue Za Zhi] 2009 May; Vol. 30 (5), pp. 497-501. |
| Abstrakt: | Objective: 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. Methods: 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. Results: 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. Conclusion: 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. |
| Databáze: | MEDLINE |
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