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Table 4 Spatial Analysis Method (SAM) cumulated test for molecular sheep data and environmental variables with a significant threshold level of 5.952-E05 (including Bonferroni correction)

From: Looking for adaptive footprints in the HSP90AA1 ovine gene

Marker freq.

0.400

0.949

0.151

0.962

0.565

0.878

0.256

0.980

0.037

1.000

0.187

0.984

Marker

I -668

D -668

I -667

D -667

G -660

C -660

A -601

C -601

A -522

G -522

I -516

D -516

LAT

0

0

0

0

1

0

1

0

0

0

0

0

LON

0

0

0

0

1

1

0

0

0

0

1

0

MINaT

1

0

0

0

1

1

0

0

0

0

0

0

MAXaT

0

0

1

0

0

0

1

0

0

0

0

0

MThm

0

0

1

0

0

0

1

0

0

0

0

0

ANT

1

0

0

0

1

1

0

0

0

0

0

0

TW

1

0

0

0

1

1

0

0

0

0

0

0

TAR

1

0

1

0

1

0

0

0

0

0

0

0

MxR

1

1

0

0

1

0

0

0

0

0

1

0

MiR

0

0

1

0

0

0

0

0

0

0

0

0

HrA

0

0

1

0

0

0

0

0

0

0

0

0

HrMx

0

0

1

0

1

0

0

0

0

0

0

0

HrMi

0

0

1

0

0

0

0

0

0

0

0

0

THI

0

0

1

0

0

0

1

0

0

0

0

0

  1. LAT = latitude; LON = longitude; MAXaT = maximum average temperature; MThm = maximum temperature of the hottest month; MINaT = minimum average temperature; ANT = average annual temperature; TW (MAXaT-MINaT) = thermal width; TAR = total annual rainfall; MxR = maximum rainfall; MiR = minimum rainfall; HrA = relative average annual humidity (%); HrMx = maximum relative humidity (%); HrMi = minimum relative humidity (%); THI = Temperature Humidity Index [22].
  2. Cells with ‘1’ indicate that for this model, the null hypothesis is rejected with both the W and G test.