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. 2010 Feb 1;1:6. doi: 10.1186/1759-8753-1-6

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Copyright ©2010 Belyayev et al; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Principle component analysis (PCA). (a) PCA analysis: spikes versus leaves for transposable element (TE) copy number changes over the generations, normalized by the TS-84 control. (b) PCA analysis: two groups of TE, spike active and leaf active. (c) Second principal component (PC2)-based order of TE activation. (d) Normalized and centralized patterns of the three genotypes for Spelt 52 and TEs across tissues and generations. (e) Deviations of real copy numbers in leaves and spikes from the stochastic model.