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Table 2 Comparisons in number of outlier SNPs detected between seven outlier detection methods

From: Multi-model seascape genomics identifies distinct environmental drivers of selection among sympatric marine species

Method (Abbreviation) Model type Correction for spatial or population structure C. punctatus
# outliers (# unique)
P. angulosus
# outliers (# unique)
S. granularis
# outliers (# unique)
BayPass core model (BPC) Bayesian Yes, population 9 (2) 5 (0) 19 (5)
BayPass auxiliary model (BPA) Bayesian Yes, population 0 0 4 (0)
Latent factor mixed model (LFMM) Mixed model Yes, population 134 (121) 72 (60) 125 (101)
Moran spectral outlier detection (MSOD) Multivariate model Yes, spatial 15 (14) 9 (7) 20 (18)
Moran spectral randomization outlier detection (MSR) Multivariate model Yes, spatial 3 (NA) 3 (NA) 8 (NA)
Redundancy analysis (RDA) Multivariate model No 9 (3) 9 (1) 16 (2)
Distance-based redundancy analysis (dbRDA) Multivariate model Yes, spatial 0 0 1 (1)
  1. Descriptions of outlier detection methods, and the number of total and unique outliers (restricted to that method) detected by each method for each species. Note that MSR could not have unique outliers as it uses those identified by MSOD