Summary of stepwise logistic regression tests for dependence between Puf3 and Puf4 in Orbiliomycetes.

We used stepwise logistic regression to find the most parsimonious model that effectively explains which mRNAs are conserved targets. We used the presence or absence of a Puf binding sequence (“Puf3 Motif” or “Puf4 motif”) to predict the outcome of being an ancestral Puf3 target (defined here as the intersection of Saccharomycotina Puf3 targets with Leotiomyceta Puf4 or Puf3 targets). The term "(Puf3 Motif x Puf4 Motif)" in model 3 represents a statistical interaction that accounts for a dependence between Puf3 and Puf4. Modeling was performed with the R function glm() with family = “binomial.” The accepted model is highlighted in bold for each species, which is model 2 (~Constant + Puf3 Motif + Puf4 Motif) in all three species.
a 0: ~ Constant, 1: ~ Constant + Puf3 Motif, 2: ~ Constant + Puf3 Motif + Puf4 Motif, 3: ~ Constant + Puf3 Motif + Puf4 Motif + (Puf3 Motif x Puf4 Motif)
*** p < 0.0001
* p < 0.01
Summary of stepwise logistic regression tests for dependence between Puf3 and Puf4 in Orbiliomycetes.