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【交流/求助】关于SSR结果分析数据统计
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| 本人最近做微卫星实验，数据统计结束后对一些指标的分析解释头脑里一片浆糊，麻烦高人指点迷津啊，给介绍几本书或者其他什么的，先谢谢了！ |
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神仙糊涂(金币+5,VIP+0):谢谢你的帮助，受益匪浅。如果您能指点一下统计数据与生物学意义之间的关系的话，哪就太感谢了
神仙糊涂(金币+5,VIP+0):谢谢你的帮助，受益匪浅。如果您能指点一下统计数据与生物学意义之间的关系的话，哪就太感谢了
| Only clear, unambiguous and reproducible bands were considered for the data analysis. Each band was considered to be a single locus. Amplified SSR markers bands were scored as present (1) or absent (0) and entered into a binary data Matrix (Lynch 1994). Proportion of polymorphic bands for each accession as well as for exotic and indigenous accessions was calculated. Genetic diversity of coconut were assessed by calculating the number of polymorphic locus (Np), the percentage of polymorphic locus (P), the number of alleles per locus(A), the effective number of alleles per locus(Ae), expected heterozygosity(He), heterozygosity Statistics for All Locus(Ho), Shannon-weaver’s information index(I), and Wright F statistics(Fis, Fst, Fit) (Nei 1978). The fixation index (F) was calculated to estimate the genetic differentiation among populations. The apparent outcrossing rate(t) was calculated from the inbreeding coefficient f on the bases of the average expected and observed heterozygosities. The average level of gene flow (Nm) among populations was indirectly estimated by a traditional method based on Fst value [Nm=(1/4(1/Fst -1), where Fst is the measurement of diversity among genetic populations(Wright 1931)](Slatkin 1989). All this parameter of genetic diversity were calculated using the PopGene program version 1.31(Yeh et al. 1999). The binary data matrix was entered into the NTSYS-pc package (Rohlf, 1993) and data were analyzed using qualitive routine to generate Jaccard’s similarity coefficient (Jaccard, 1908). Similarity coefficients were used to construct the dendrogram using unweighted pair group method with arithmetic average (UPGMA) and the sequential hierarchical and nested clustering (SHAN) routine in the NTSYS program. |
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