I would like to implement PICRUSt in my research but I have some doubts.
We have 16S rRNA sequencing data generated from stool analysis collected from rats treated in three different ways. I read an article: "Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences" where at is stated that "PICRUSt recaptures key findings from the Human Microbiome Project and accurately predicts the abundance of gene families in host-associated and environmental communities, with quantifiable uncertainty."
Does it mean that you can use PICRUSt and interpret its results only in human-based models?
On the other hand you stated following: "We applied PICRUSt to a range of datasets from humans, soils, other mammalian guts and the hyper-diverse and under explored Guerrero Negro microbial mat".
So it is possible to apply PICRUSt for datasets from rats.
My question is how to do it technically? Should I speccify something during categorize_by_function.py step (KEGG pathway specific forrats)? If I use parameter " -m KEGG_Pathways" will it make calculations for KEGG human pathways?
I have found KEGG pathway maps - Rattus norvegicus (rat)https://www.genome.jp/kegg-bin/show_organism?menu_type=pathway_maps&org=rno
Should I somehow implement this?