TABLE 2.
Season | Sample | Riser | No. of sequencesb | Sequence ID | Method of detection | Class/phylum | % IDc | Nearest relative for potential pathogens |
---|---|---|---|---|---|---|---|---|
Summer | Water | A | 88/247 | 4S_4g02 | Direct extraction | Actinobacteria | 99.5 | Mycobacterium mucogenicum |
9/10 | 4S_isolate4 | Culture | Actinobacteria | 99.6 | Mycobacterium mucogenicum | |||
B | 19/24 | 11S_isolate3 | Culture | Actinobacteria | 99.5 | Mycobacterium mucogenicum | ||
Aerosol | A | 3/250 | 6S_3a07 | Direct extraction | Gammaproteobacteria | 99.3 | Pseudomonas aeruginosa | |
B | 1/151 | 13S_2f07 | Direct extraction | Alphaproteobacteria | 97.6 | Bosea thiooxidans | ||
Winter | Water | C | 2/8 | 4W_isolate2 | Culture | Firmicutes | 99.9 | Bacillus cereus |
Summary of potentially pathogenic bacterial sequences for bacteria, their percent ID to a known sequence in a public database, and their relative abundance in shower water or shower aerosol samples from four different hot water risers in a stem cell transplant unit during two seasons.
For sequences detected by direct extraction, the number of similar sequences to the total number of sequences assessed for each season and riser is shown. For sequences detected by culture, the number of similar CFU to the the total number of CFU isolated for each season and riser is shown.
Percent ID values based on RDP sequence match near-neighbor identification.