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. 2014 Jun 17;23(16):4035–4058. doi: 10.1111/mec.12810

Table 6.

Estimates (Est) and statistical significance (P-value) of multi-linear regression (MLR) analysis for six candidate explanatory variables of variation in recombination rate and GC content, respectively

Recombination GC content


Parameter Est P-value r2 PCR (%) Est P-value r2 PCR (%)
Distance to end −0.069 <10−15 −0.37 5.37 −0.048 <10−15 −0.42 12.21
Chromosome size −0.036 <10−15 −0.21 1.89 −0.037 <10−15 −0.37 9.34
Microsatellites 0.002 0.67 0.23 5.75 0.107 <10−15 0.58 13.21
Repeat density −0.001 0.81 0.01 2.60 −0.059 <10−15 −0.11 10.24
Motif density 0.061 <10−15 0.38 5.78 0.133 <10−15 0.65 15.40
Gene density 0.022 9.0·10−9 0.09 0.78 0.073 <10−15 0.29 5.52
Total 22.2 65.5

Included in the table is also the raw Pearson's pairwise correlation coefficient (r2) between each explanatory variable and recombination rate, and the amount of variation explained by each explanatory variable according to the principal component regression (PCR). Data are from chromosomes >20 Mb.