Fitting glm without explicit declaration of each covariate

When I fit a linear model with many predictor variables, I can avoid writing all of them by using . as follows:

model = lm(target_deathrate~., data = full_data)

But for models with higher complexity, I cannot make this work:

x = glm(target_deathrate~poly(., i),data = full_data)

In these cases I have to write all variables.

How to avoid writing all variable names and include all variables in my model?