We analysed taxonomic relative abundance differences between wild and captive populations per host species using Generalized Additive Models for Location, Scale and Shape (GAMLSS) as implemented in metamicrobiomeR::taxa.compare. Subsequently, random effects meta-analysis models were applied, using metamicrobiomeR::meta.taxa, to the pool of estimates and their standard errors to evaluate the overall effects and heterogeneity across the host species. The minimum prevalence for considering microbial taxa in the meta-analysis was set in 33% of the analysed datasets.
Do you have any questions about this protocol?
Post your question to gather feedback from the community. We will also invite the authors of this article to respond.