Here's the relevant section from the README:
Once an EMIRGE run is completed, run emirge_rename_fasta.py on the
final iterations directory, for example:
emirge_rename_fasta.py iter.40 > renamed.fasta
Also see:
emirge_rename_fasta.py --help
emirge_rename_fasta.py orders the fasta file by decreasing abundance, and places those abundances in the headers.
Prior is the abundance estimate used in the Genome Biology paper, and is exactly that: the prior in the EM algorithm, the best guess of the relative abundance of that sequence.
NormPrior is a length-normalized version of the prior, redistributing the Prior by weighting each sequence based on its length. This is an attempt to make sure that longer sequences (with more reads mapping) do not get abundances which are over-estimated. In most cases, especially if the community is all bacterial, Prior is usually very close to NormPrior.
The silva candidate SSU sequence that EMIRGE started with is also listed in the header. Usually, EMIRGE will have adjusted this to reflect what the reads indicate was actually in your sample, which is why the EMIRGE sequence can be a few to several % identity away from 100.
Hope that's more clear.
Chris