docs: Talk plasmids in microbial_fraction prelude.

docs/preludes/microbial_fraction_prelude.md

@@ -1,4 +1,6 @@
-The SingleM `microbial_fraction` ('SMF') subcommand estimates the fraction of reads in a metagenome that are microbial, compared to everything else e.g. eukaryote- or phage-derived. Here we define 'microbial' as either bacterial or archaeal. it also estimates the average genome size of microbial cells in the sample.
+The SingleM `microbial_fraction` ('SMF') subcommand estimates the fraction of reads in a metagenome that are microbial, compared to everything else e.g. eukaryote- or phage-derived. Here we define 'microbial' as either bacterial or archaeal, including their plasmids.
+
+SingleM `microbial_fraction` also estimates the average genome size of microbial cells in the sample.
 
 The main conceptual advantage of this method over other tools is that it does not require reference sequences of the non-microbial genomes that may be present (e.g. those of an animal host). Instead, it uses a SingleM taxonomic profile of the metagenome to "add up" the components of the community which are microbial. The remaining components are non-microbial e.g. host, diet, or phage. 
 

docs/tools/microbial_fraction.md

@@ -2,7 +2,9 @@
 title: SingleM microbial_fraction
 ---
 # singlem microbial_fraction
-The SingleM `microbial_fraction` ('SMF') subcommand estimates the fraction of reads in a metagenome that are microbial, compared to everything else e.g. eukaryote- or phage-derived. Here we define 'microbial' as either bacterial or archaeal. it also estimates the average genome size of microbial cells in the sample.
+The SingleM `microbial_fraction` ('SMF') subcommand estimates the fraction of reads in a metagenome that are microbial, compared to everything else e.g. eukaryote- or phage-derived. Here we define 'microbial' as either bacterial or archaeal, including their plasmids.
+
+SingleM `microbial_fraction` also estimates the average genome size of microbial cells in the sample.
 
 The main conceptual advantage of this method over other tools is that it does not require reference sequences of the non-microbial genomes that may be present (e.g. those of an animal host). Instead, it uses a SingleM taxonomic profile of the metagenome to "add up" the components of the community which are microbial. The remaining components are non-microbial e.g. host, diet, or phage.