I want to run a (PRIMER based) PERMANOVA analysis on my univariate data (output var.= weight of organisms, and 3 factors = 2 fixed, 1 random) and I'm wondering which distance measure (Bray-Curtis or Euclidean distance) to use to create the resemblance matrix. In most literature that I found Euclidean distance is used for univariate analysis (thereby getting an F-value similar to the F obtained by a normal ANOVA) and Bray-Curtis for multivariate analysis. Now I'm wondering if this is how it is supposed to be done, or if there is a more general rule how to determine which distance measure to use, especially as there are additional possibilities in the PERMANOVA menu...

Thanks a lot for your help!