12 research outputs found

    PCA (left plot) and DAPC (right plot) obtained from using the reduced set of ‘private SNPs’ (N = 72 SNPs, called ‘private SNPs80’ panel; see Methods).

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    PCA–principal component analysis; DAPC–discriminant analysis of the principal components. M_ch–M. chevalieri; M_dx–M. dux; M_fe–M. felicinum; M_ma–M. macrobrachion; M_so–M. sollaudii; M_sp–M. sp; M_vo–M. vollenhovenii.</p

    PCA (left plot) and DAPC (right plot) obtained from using a full set of SNPs (N = 1,814).

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    PCA–principal component analysis; DAPC–discriminant analysis of principal components. M_ch–M. chevalieri;M_dx–M. dux;M_fe–M. felicinum; M_ma–M. macrobrachion; M_so–M. sollaudii; M_sp–M. sp; M_vo–M. vollenhovenii.</p

    S1 Fig -

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    PCA plot obtained from a full set of 1,814 SNPs (A), 174 private SNPs (B) and 72 ‘private SNPs 80’ (C). M_ch–M. chevalieri;M_dx–M. dux;M_fe–M. felicinum; M_ma–M. macrobrachion; M_so–M. sollaudii; M_sp–M. sp; M_vo–M. vollenhovenii. (TIF)</p

    An overview of the identification and validation of ’private SNPs’ or informative SNPs.

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    Step 1: a total of 52,834 SNPs were generated from genotyping by sequencing of Macrobrachium species. Step 2: the SNPs from ‘Step 1’ were screened for quality parameters leaving a total of 1,814 SNPs for further analysis. Step 3: the SNPs from ‘Step 2’ were used to prioritise 178 informative SNPs based on allele frequency estimates. Step 4: a total of 72 high-quality SNPs (‘private SNPs’) were selected from the 178 SNPs in ‘Step 3’ based on repeat resampling approach. Step 5: the SNPs from ‘Step 4’ were “validated” using three methods: a) PCA–principal component analysis; b) Admixture, and c) DAPC–discriminant analysis of principal components. MAF–minor allele frequency.</p
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