title: Detection of fecal bacteria and source tracking identifiers in environmental waters using rRNA-based RT-qPCR and rDNA-based qPCR assays.
abstract: In this study, we evaluated the use of RT-qPCR assays targeting rRNA gene sequences for the detection of fecal bacteria in water samples. We challenged the RT-qPCR assays against RNA extracted from sewage effluent (n = 14), surface water (n = 30), and treated source water (n = 15) samples. Additionally, we applied the same assays using DNA as the qPCR template. The targeted fecal bacteria were present in most of the samples tested, although in several cases, the detection frequency increased when RNA was used as the template. For example, the majority of samples that tested positive for E. coli and Campylobacter spp. in surface waters, and for human-specific Bacteroidales, E. coli, and Enterococcus spp. in treated source waters were only detected when rRNA was used as the original template. The difference in detection frequency using rRNA or rDNA (rRNA gene) was sample- and assay-dependent, suggesting that the abundance of active and nonactive populations differed between samples. Statistical analyses for each population exhibiting multiple quantifiable results showed that the rRNA copy numbers were significantly higher than the rDNA counterparts (p < 0.05). Moreover, the detection frequency of rRNA-based assays were in better agreement with the culture-based results of E. coli, intestinal enterococci, and thermotolerant Campylobacter spp. in surface waters than that of rDNA-based assays, suggesting that rRNA signals were associated to active bacterial populations. Our data show that using rRNA-based approaches significantly increases detection sensitivity for common fecal bacteria in environmental waters. These findings have important implications for microbial water quality monitoring and public health risk assessments.
authors.affiliation: U.S. Environmental Protection Agency , National Risk Management Research Laboratory, Cincinnati, Ohio 45268, United States.
authors.forename: Tarja
authors.initials: T
authors.lastname: Pitkänen
authors.forename: Hodon
authors.initials: H
authors.lastname: Ryu
authors.forename: Michael
authors.initials: M
authors.lastname: Elk
authors.forename: Anna-Maria
authors.initials: AM
authors.lastname: Hokajärvi
authors.forename: Sallamaari
authors.initials: S
authors.lastname: Siponen
authors.forename: Asko
authors.initials: A
authors.lastname: Vepsäläinen
authors.forename: Pia
authors.initials: P
authors.lastname: Räsänen
authors.forename: Jorge W
authors.initials: JW
authors.lastname: Santo Domingo
mesh_terms: D001419:Bacteria / Q000235:genetics / Q000302:isolation & purification*; D041963:Bacteroidetes / Q000235:genetics / Q000302:isolation & purification; D001483:Base Sequence; D002167:Campylobacter / Q000235:genetics / Q000302:isolation & purification; D017931:DNA Primers / Q000235:genetics; D004275:DNA, Ribosomal / Q000235:genetics*; D016983:Enterococcus / Q000235:genetics / Q000302:isolation & purification; D004784:Environmental Monitoring / Q000379:methods* / Q000706:statistics & numerical data; D004926:Escherichia coli / Q000235:genetics / Q000302:isolation & purification; D005243:Feces / Q000382:microbiology*; D020459:Genes, rRNA / Q000235:genetics*; D006801:Humans; D012336:RNA, Ribosomal, 16S / Q000235:genetics; D060888:Real-Time Polymerase Chain Reaction; D012722:Sewage / Q000382:microbiology*; D014871:Water Microbiology
chemical_list: D017931:DNA Primers; D004275:DNA, Ribosomal; D012336:RNA, Ribosomal, 16S; D012722:Sewage