Hi,
By definition MEGAN is a binning tool, i.e., it does not do any approximations for the content of the sample.
MEGAN treats each read independently and finds the best place for it on the taxonomic tree based on its alignment to the database (most commonly NR). Therefore, if it comes from the conserved region of the bacterial genome, it could be placed in the higher taxonomic ranks. However, you can minimize that with parameters.
You can export the tax to count table, so format-wise it is not a problem.