Table 3.
Coefficient Values for the Multiple Linear Regression Analyses Where TE Density Is the Response Variable and GC Content, Recombination Rate, Gene Length (GL), , and Duplication Status (Dataset 1) Are Predictors
2-kb |
10-kb |
|||||||||
---|---|---|---|---|---|---|---|---|---|---|
Variable | All TEs | DNA | LINE | SINE | LTR | All TEs | DNA | LINE | SINE | LTR |
log(GC) | −5.127 ∗ | −2.278 ∗ | −2.012 ∗ | −5.704 ∗ | −1.576 ∗ | −1.739 ∗ | −2.220 ∗ | −5.414 ∗ | 0.001 | −3.895 ∗ |
Recomb. | 1.879 ∗ | 1.053 ∗ | 0.036 | 1.770 ∗ | 0.899 ∗ | 1.538 ∗ | 1.570 ∗ | 0.849 ∗ | 1.759 ∗ | 0.839 ∗ |
Log() | −1.661 ∗ | −0.813 ∗ | 0.504 ∗ | −2.284 ∗ | 0.086 ∗ | −1.073 ∗ | −1.133 ∗ | 1.138 ∗ | −1.904 ∗ | −0.178 ∗ |
Log(GL) | −1.983 ∗ | −0.388 ∗ | 0.312 ∗ | −2.280 ∗ | −0.020 | −0.848 ∗ | −0.623 ∗ | −1.070 ∗ | −0.650 ∗ | −0.939 ∗ |
Status | 1.871 ∗ | 1.598 ∗ | −1.652 ∗ | 2.782 ∗ | −0.539 | 1.145 ∗ | 3.064 ∗ | −2.616 ∗ | 2.935 ∗ | −0.094 ∗ |
Log(GC)×Recomb. | −0.307 ∗ | −0.231 ∗ | / | −0.306 ∗ | −0.157 ∗ | −0.272 ∗ | −0.386 ∗ | −0.173 ∗ | −0.334 ∗ | −0.127 |
Log(GC)×Log() | 0.363 ∗ | 0.167 ∗ | −0.121 ∗ | 0.464 ∗ | / | 0.205 ∗ | 0.237 ∗ | −0.211 ∗ | 0.359 ∗ | / |
Log(GC)×Log(GL) | 0.602 ∗ | 0.190 ∗ | / | 0.750 ∗ | 0.092 ∗ | 0.252 ∗ | 0.218 ∗ | 0.285 ∗ | 0.220 ∗ | 0.273 ∗ |
Log(GC)×Status | −0.281 | −0.346 ∗ | 0.271 ∗ | −0.531 ∗ | 0.127 | −0.190 | −0.597 ∗ | 0.448 ∗ | −0.505 ∗ | / |
Recomb×Log(GL) | −0.060 ∗ | −0.017 ∗ | / | −0.051 ∗ | −0.022 ∗ | −0.041 ∗ | −0.012 | −0.014 | −0.040 ∗ | −0.022 |
Recomb×Status | −0.041 | / | −0.047 ∗ | / | / | −0.035 | / | −0.058 ∗ | / | / |
Log()×Log(GL) | 0.034 ∗ | 0.015 ∗ | / | 0.052 ∗ | / | 0.032 ∗ | 0.021 ∗ | −0.028 ∗ | 0.051 ∗ | 0.020 ∗ |
Log()×Status | / | / | / | / | / | −0.021 | / | / | / | / |
Log(GL)×Status | −0.054 ∗ | −0.018 | 0.064 ∗ | −0.052 ∗ | / | −0.026 | −0.065 ∗ | 0.088 ∗ | −0.077 ∗ | / |
Recomb×Log() | / | / | 0.018 | / | / | / | / | 0.025 | / | 0.022 |
Adjusted R2 | 0.067 | 0.377 | 0.487 | 0.251 | 0.292 | 0.027 | 0.186 | 0.295 | 0.084 | 0.092 |
Note.—/, variable not retained in the step Akaike Information Criterion (AIC) process; Status, categorical variable for duplication status with duplicated as reference category and singleton as second category; Bold with asterisk, significant values considering Bonferroni correction for multiple tests.