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


CONCLUSIONS
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.
Guo
Jun-tao
JT
Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China.
Zhou
Yi-biao
YB
Zhang
Zhi-jie
ZJ
Liu
Gang-ming
GM
Yihuo
Wu-li
WL
Wang
Hai-yin
HY
Zhao
Gen-ming
GM
D000483:Alleles; D000818:Animals; D014644:Genetic Variation; D018895:Microsatellite Repeats; D017422:Sequence Analysis, DNA; D012908:Snails / Q000235:genetics*