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. 2015 Jan 24;66(14):4213–4225. doi: 10.1093/jxb/eru511

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© The Author 2015. Published by Oxford University Press on behalf of the Society for Experimental Biology.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Fig. 3. — Spatial principal components analysis (sPCA) of M. sinensis in Japan using 5359 SNPs across 782 individuals from 205 collection sites. (A–C) Interpolation of scores of lag vectors of the first three eigenvectors produced by sPCA. Scores are represented the darkness of greyscale pixels. The percentage of genetic variation between sites explained by each of the three eigenvectors is indicated. (This figure is available in colour at JXB online.)