Fig. 3: Outlier detection with the Moran spectral outlier detection (MSOD) method in the Fagus crenata populations. | Heredity

Fig. 3: Outlier detection with the Moran spectral outlier detection (MSOD) method in the Fagus crenata populations.

From: Assessments of fine-scale spatial patterns of SNPs in an old-growth beech forest

Fig. 3: Outlier detection with the Moran spectral outlier detection (MSOD) method in the Fagus crenata populations.The alternative text for this image may have been generated using AI.

All individuals [a n = 166, 32 SNPs], lower layer [b n = 83, 31 SNPs], and upper layer [c n = 83, 25 SNPs]. Each point shows the z score of a locus representing the degree of deviation from the mean spectrum of the proportion of variance of the locus associated with each spatial eigenvector, plotted against the locus ID (“Fc” represents the FcMYB1603 locus, and “M” Mig-seq loci). Dashed lines indicate the probability levels of 0.01 used in MSOD. Open circles and dot indicate spatial non-outlier and outlier loci, respectively.

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