Presence of Bacteroidales as a Predictor of Pathogens in Surface Waters of the Central California Coast

The value of Bacteroidales genetic markers and fecal indicator bacteria (FIB) to predict the occurrence of waterborne pathogens was evaluated in ambient waters along the central California coast. Bacteroidales host-specific quantitative PCR (qPCR) was used to quantify fecal bacteria in water and provide insights into contributing host fecal sources. Over 140 surface water samples from 10 major rivers and estuaries within the Monterey Bay region were tested over 14 months with four Bacteroidales-specific assays (universal, human, dog, and cow), three FIB (total coliforms, fecal coliforms, and enterococci), two protozoal pathogens (Cryptosporidium and Giardia spp.), and four bacterial pathogens (Campylobacter spp., Escherichia coli O157:H7, Salmonella spp., and Vibrio spp.). Indicator and pathogen distribution was widespread, and detection was not highly seasonal. Vibrio cholerae was detected most frequently, followed by Giardia, Cryptosporidium, Salmonella, and Campylobacter spp. Bayesian conditional probability analysis was used to characterize the Bacteroidales performance assays, and the ratios of concentrations determined using host-specific and universal assays were used to show that fecal contamination from human sources was more common than livestock or dog sources in coastal study sites. Correlations were seen between some, but not all, indicator-pathogen combinations. The ability to predict pathogen occurrence in relation to indicator threshold cutoff levels was evaluated using a weighted measure that showed the universal Bacteroidales genetic marker to have a comparable or higher mean predictive potential than standard FIB. This predictive ability, in addition to the Bacteroidales assays providing information on contributing host fecal sources, supports using Bacteroidales assays in water quality monitoring programs.Coastal waters worldwide have been influenced by human activities for centuries, as they are adjacent to densely populated areas, provide a means of transportation, and receive substantial recreational use. Consequently, impairments in nearshore water quality can result from enrichment of the coastal marine ecosystem with pollutants and nutrients that are transported down watersheds from land to sea. This poses health risks to humans and animals. Microbial pollution is caused by fecal contamination from a variety of sources, including humans, livestock, pets, and wildlife, and fecal pathogen pollution has been associated with numerous outbreaks of waterborne disease (14, 15, 27, 41, 49, 55).Fecal indicator bacteria (FIB) that normally reside in the gastrointestinal tracts of humans and animals are used throughout the world to assess the microbiological quality of drinking and recreational waters. In the United States, FIB are used to define bacterial water quality standards aimed at reducing health risks in recreational waters, as required by the Beaches Environmental Assessment and Coastal Health Act (5), which amended the Clean Water Act (11). Groups of standard FIB monitored in water include total coliforms (TC), fecal coliforms (FC), Escherichia coli bacteria, and enterococci. These bacterial groups have been considered indicators of health risks in epidemiologic and quantitative microbial risk assessment (QMRA) studies (38, 42, 59, 66).To date, many monitoring programs have focused only on FIB measurements and do not test for pathogens. However, substantial evidence has been collected that challenges the usefulness of FIB data alone. A few limitations of using standard FIB to represent pathogens in water include the fact that FIB have been shown to multiply in the environment, that they are not host specific, and that the absence of FIB is not necessarily evidence of pathogen absence (21, 50, 51, 56). Consequently, alternative indicators of fecal pollution that address the weaknesses of standard FIB are needed. Ideally, these indicators would decay at rates similar to those of pathogens, be present at high concentrations in fecal sources, and be present at low concentrations in unpolluted environments. Proposed alternative indicators include (i) anaerobic bacteria such as bifidobacteria (46), Clostridium perfringens (22), and Bacteroidales (20); (ii) viruses such as F-specific RNA (F-RNA)-specific coliphages (39), phages infecting Bacteroides fragilis (30), and host-specific viruses (25); and (iii) chemical compounds such as fecal sterols (29). An added benefit of using alternative indicators is that, in some cases, host sources of fecal contamination can be identified.Over a decade ago, PCR-based assays were developed to detect Bacteroides in an effort to monitor human fecal pollution in the environment (36, 37). This approach was adopted by others and further advanced to identify host-specific Bacteroidales 16S rRNA gene markers for different fecal sources. This has resulted in PCR and quantitative PCR (qPCR) assays for the detection of human, dog, pig, and cow Bacteroidales markers (6, 7, 16, 34, 57) as well as assays for the detection of general Bacteroidales markers (7, 34). The analysis of Bacteroidales markers has been incorporated in microbial source tracking (MST) studies, particularly in the United States, Japan, and Europe (24, 45, 52-54, 64).The objective of this study was to compare the abilities of Bacteroidales markers and FIB to predict the occurrence of waterborne pathogens in riverine and estuarine waters in California and to use several statistical approaches to better characterize the strengths and limitations of the assays. We hypothesized that Bacteroidales and FIB would correlate with bacterial and protozoal pathogen detection in surface waters. To test this hypothesis, four Bacteroidales-specific assays (universal, human, dog, and cow), three types of FIB (total coliforms, fecal coliforms, and enterococci), two protozoal pathogens (Cryptosporidium and Giardia spp.), and four bacterial pathogens (Campylobacter spp., E. coli O157, Salmonella spp., and Vibrio spp.) were monitored monthly for 14 months in 10 streams, rivers, and estuaries feeding into the Monterey Bay region of California.     

Performance Assessment PCR-Based Assays Targeting Bacteroidales Genetic Markers of Bovine Fecal Pollution

There are numerous PCR-based assays available to characterize bovine fecal pollution in ambient waters. The determination of which approaches are most suitable for field applications can be difficult because each assay targets a different gene, in many cases from different microorganisms, leading to variation in assay performance. We describe a performance evaluation of seven end-point PCR and real-time quantitative PCR (qPCR) assays reported to be associated with either ruminant or bovine feces. Each assay was tested against a reference collection of DNA extracts from 247 individual bovine fecal samples representing 11 different populations and 175 fecal DNA extracts from 24 different animal species. Bovine-associated genetic markers were broadly distributed among individual bovine samples ranging from 39 to 93%. Specificity levels of the assays spanned 47.4% to 100%. End-point PCR sensitivity also varied between assays and among different bovine populations. For qPCR assays, the abundance of each host-associated genetic marker was measured within each bovine population and compared to results of a qPCR assay targeting 16S rRNA gene sequences from Bacteroidales. Experiments indicate large discrepancies in the performance of bovine-associated assays across different bovine populations. Variability in assay performance between host populations suggests that the use of bovine microbial source-tracking applications will require a priori characterization at each watershed of interest.The ability to discriminate between bovine and other sources of fecal contamination is necessary for the accurate evaluation of human health risks associated with agricultural runoff and focused water quality management to make waters safe for human use. Many methods have been proposed to identify bovine fecal pollution using a variety of different microbiology and molecular techniques. One of the most widely used approaches utilizes a PCR to amplify a gene target that is specifically found in a host population. Currently, there are numerous PCR-based assays for the detection and/or quantitative assessment of bovine fecal pollution available for microbial source-tracking (MST) applications (1, 5-7, 11, 14, 17, 18, 21, 23). These assays target genes ranging from mitochondrial DNA to ribosomal rRNA to other functional genes involved in microorganism-host interactions.The majority of the reported bovine-associated PCR assays target 16S rRNA genes from the order Bacteroidales. This bacterial group constitutes a large proportion of the normal gut microbiota of most animals, including bovines (28), and contains subpopulations closely associated with other animal hosts such as swine, horse, and human (1, 3, 6, 18, 24). Host-associated PCR-based assays targeting Bacteroidales genetic markers have been used to investigate the sources and levels of fecal pollution at a number of beaches and inland watersheds, with variable levels of success (10, 13, 22, 27). Researchers have postulated that differences in host animal age, health, diet, and geographic location may influence bacterial community structures in the bovine gastrointestinal tract (2, 9, 26). Without a priori knowledge of the potential representational bias introduced by such factors, it may be difficult to use these assays with confidence as indicators of bovine fecal pollution.Assay specificity and sensitivity and the prevalence and abundance of genetic marker determinations are typically estimated from the systematic testing of a collection of reference fecal sources collected from known animal sources. However, the characterization of assay performance has been limited, in most cases, to animal sources originating from a particular geographic region or industry, such as dairy or beef. The determination of assay performance across a range of different host populations is essential as the field moves toward the implementation of PCR-based host-associated fecal pollution assessment approaches.We report a performance study of seven PCR and quantitative PCR (qPCR) assays targeting Bacteroidales genes reported to be associated with either ruminant (e.g., bovine, goat, sheep, deer, and others) or bovine feces. Each assay was tested against a reference collection of DNA extracts from 247 individual bovine fecal samples representing 11 different populations. Assay specificity was determined by testing 175 fecal DNA extracts from 24 different animal species. For qPCR assays, the abundance of each genetic marker was measured within each bovine population and compared to quantities of Bacteroidales 16S rRNA genetic markers. These analyses indicated large discrepancies in assay performance across different bovine populations.     

Evaluation of Lactobacillus sobrius/L. amylovorus as a New Microbial Marker of Pig Manure

Based on a comparison of the dominant microbial populations in 17 pig manure samples and using a molecular typing method, we identified a species, Lactobacillus sobrius and Lactobacillus amylovorus (which now are considered a single species and are designated L. sobrius/amylovorus here), that was consistently found in manure. The aim of the present study was to confirm by real-time PCR the relevance of this species as a marker of pig fecal contamination. The specificity of L. sobrius/amylovorus was evaluated in human and animal DNA extracted from feces. The real-time PCR assay then was applied to water samples, including effluents from urban wastewater treatment plants, runoff water, and rivers. L. sobrius/amylovorus was consistently present in all samples of swine origin: 48 fecal samples, 18 from raw manure and 10 from biologically treated manure at mean concentrations of 7.2, 5.9, and 5.0 log₁₀ cells/g, respectively. The species was not detected in any of the other livestock feces (38 samples from cattle and 16 from sheep), in the 27 human fecal samples, or in the 13 effluent samples from urban wastewater treatment plants. Finally, L. sobrius/amylovorus was not detected in runoff water contaminated by cattle slurry, but it was quantified at concentrations ranging from 3.7 to 6.5 log₁₀ cells/100 ml in runoff water collected after pig manure was spread on soil. Among the stream water samples in which cultured Escherichia coli was detected, 23% tested positive for L. sobrius/amylovorus. The results of this study indicate that the quantification of L. sobrius/amylovorus using real-time PCR will be useful for identifying pig fecal contamination in surface waters.Pig manure may contain pathogenic microorganisms that are harmful to humans and animals (11). These pathogens, which include bacteria, viruses, and protozoans, can survive for several weeks during the storage of manure and in the soil after manure is spread on the land (30). As a consequence, the large amount of manure that is produced and applied on land in many agricultural areas may impact water quality. It contributes to non-point source pollution, which is due partially to runoff from manured soil, especially when manure is spread just before rainfall. It is difficult to determine the origin of diffuse pollution, as it cannot be traced to a specific spot. Fecal indicators (Escherichia coli, fecal coliforms, and enterococci), which are commonly used to quantify fecal pollution, are present in the intestinal tracts of both humans and warm-blooded animals and thus cannot be used to distinguish contamination by pig manure from other sources of pollution. For this reason, alternative microbial indicators have been proposed for the identification of specific pollution sources.During the past 10 years, a few library-independent methods have been developed for the identification of pig fecal contamination. They are based mostly on the PCR amplification of specific genes or sequences, such as the STII toxin gene from enterotoxigenic E. coli (16), the internal transcribed spacer (ITS) sequence from Bifidobacterium thermacidophilum subsp. porcinum (26), the 16S rRNA gene of Bacteroides-Prevotella (5, 27, 31), and the methyl coenzyme M reductase gene from a methanogenic Archaea member (41). However, some of these methods are only qualitative, like the detection of B. thermacidophilum subsp. porcinum or of the mcrA and STII toxin genes, and do not allow the level of contamination to be quantified. Furthermore, it is noteworthy that the archaeal mcrA gene was not detected in 16% of the pig feces analyzed (41), and that the presence of the STII toxin gene depends on the level of E. coli in the sample, which needs to be greater than 100 cells to avoid false positives (16). Okabe et al. (31) quantified a Bacteroides-Prevotella pig-specific marker (Pig-Bac2) in water samples using real-time PCR. However, this marker lacks specificity, as the Pig-Bac2 marker also was present in human and cow feces at a concentration of 7 and 8 log₁₀ copies per g, respectively (31). Only one pig-specific Bacteroidales 16S rRNA gene marker (Pig-2-Bac), which was developed recently by Mieszkin et al. (27) using real-time PCR, appears to be suitable to quantify pig fecal contamination. However, one limit of targeting the Bacteroidales group could be their strictly anaerobic metabolism, which may influence their persistence in well-oxygenated water. Savichtcheva et al. (36) thus have reported that oxygen has a negative effect on the survival rate of Bacteroides fragilis. We thus consider it important to study biomarkers that are less sensitive to oxygen in order to extend the choice of tools for tracking sources of pollution by manure. Moreover, in the case of the downgrading of bathing or shellfish areas, when health and economic risks are involved, it could be useful to combine multiple markers to identify the source of pollution with certainty.In the search for potential pig manure markers, we recently analyzed the dominant bacterial groups of 17 raw pig manure samples using 16S rRNA-targeted PCR and the CE-SSCP (capillary electrophoresis-single-strand conformation polymorphism) molecular typing method (26). Among the dominant bacterial groups (Bacteroidales, Bifidobacterium, Eubacterium-Clostridiaceae, and Bacillus-Streptococcus-Lactobacillus), we highlighted the presence of a microaerophilic species, Lactobacillus sobrius, which was isolated from piglet feces previously (19). Lactobacilli are known to establish a stable population in the intestinal tract of piglets soon after birth (28, 39) and to rapidly become a dominant population of their intestinal flora, at least in the first days after weaning (2, 14, 34). Their concentration in pig feces has been estimated at about 3 × 10⁸ bacteria/g (9). Because of their protective effect against diarrhea, some species of Lactobacillus, including L. sobrius, particularly have been studied (20, 35). Konstantinov et al. (21) therefore designed a primer pair that specifically amplifies a fragment of the L. sobrius genome using real-time PCR. Finally, Jakava-Viljanen et al. (13) recently demonstrated very high similarity between the L. sobrius and L. amylovorus type and reference strains and representative porcine isolates based on their 16S rRNA gene sequence analysis. According to these results, L. sobrius and L. amylovorus constitute a single species and consequently are referred to as L. sobrius/amylovorus in this paper.Given the abundance of L. sobrius/amylovorus in piglet feces (19, 37) and its systematic presence in raw manure (26), we tested this species as a new marker of pig fecal contamination. The aims of our study were (i) to confirm the specificity of L. sobrius/amylovorus to pig feces by analyzing five host groups (human, pig, cattle, poultry, and sheep), manure and by-products of manure treatment, runoff water, and urban wastewaters, and (ii) to estimate the suitability of this marker to identify pig fecal contamination found in surface waters. The concentrations of L. sobrius/amylovorus were estimated by real-time PCR using the primers designed by Konstantinov et al. (21). They were compared to the levels of E. coli, total lactobacilli, and, for river water samples, to the concentrations of the pig-specific Bacteroidales 16S rRNA genetic marker (Pig-2-Bac) developed by Mieszkin et al. (27).     

Quantitative PCR for Genetic Markers of Human Fecal Pollution

Assessment of health risk and fecal bacterial loads associated with human fecal pollution requires reliable host-specific analytical methods and a rapid quantification approach. We report the development of quantitative PCR assays for quantification of two recently described human-specific genetic markers targeting Bacteroidales-like cell surface-associated genes. Each assay exhibited a range of quantification from 10 to 1 × 10⁶ copies of target DNA. For each assay, internal amplification controls were developed to detect the presence or absence of amplification inhibitors. The assays predominantly detected human fecal specimens and exhibited specificity levels greater than 97% when tested against 265 fecal DNA extracts from 22 different animal species. The abundance of each human-specific genetic marker in primary effluent wastewater samples collected from 20 geographically distinct locations was measured and compared to quantities estimated by real-time PCR assays specific for rRNA gene sequences from total Bacteroidales and enterococcal fecal microorganisms. Assay performances combined with the prevalence of DNA targets in sewage samples provide experimental evidence supporting the potential application of these quantitative methods for monitoring fecal pollution in ambient environmental waters.Waterborne diseases that originate from human fecal pollution remain a significant public health issue. As a result, a large number of methods have been developed to detect and quantify human fecal pollution (10, 12, 18, 20). The majority of these methods are based on real-time quantitative PCR (qPCR) assays designed to estimate the concentrations of 16S rRNA gene sequences from various subpopulations within the order Bacteroidales. This bacterial order constitutes a large proportion of the normal gut microbiota of most animals, including humans (3, 15, 27). Bacterial 16S rRNA genes are useful as markers because they have relatively low mutation rates (7) and are typically present in multiple operons, increasing template DNA levels available for detection (2, 11, 17, 29). While several studies have demonstrated the value of Bacteroides 16S rRNA gene-based qPCR assays, currently available assays cannot discriminate between several animal sources closely associated with humans, including cats, dogs, and/or swine (10, 12, 18, 20). Alternative qPCR assays targeting genes directly involved in host-specific interactions may be capable of increased discrimination of fecal pollution sources (22, 23) and are needed to complement existing qPCR-based approaches used to identify sources of human fecal pollution.A recent metagenomic survey of a human fecal bacterial community using genome fragment enrichment has led to the identification of hundreds of candidate human fecal bacterium-specific DNA sequences (23). PCR assays targeting two gene sequences encoding a hypothetical protein potentially involved in remodeling of bacterial surface polysaccharides and lipopolysaccharides (assay 19) and a putative RNA polymerase extracytoplasmic function sigma factor (assay 22) from Bacteroidales-like microorganisms exhibited a high level of specificity (100%) for human fecal material (23). However, it remained to be determined whether these reported chromosomal DNA sequences are abundant and uniform enough within human populations to be detected once diluted in the environment. On the basis of these considerations, the next steps toward the application of these gene sequences for water quality monitoring applications were to design qPCR assays for their detection and then to use these assays to evaluate the overall abundance and distribution of these sequences in human populations relative to those of rRNA gene sequences from different currently recognized fecal indicator bacterial groups.Here, we report the development of two qPCR assays for quantification of the human-specific DNA sequences targeted by previously reported PCR assays 19 and 22 (23). Method performance characteristics, including specificity, range of quantification (ROQ), limit of quantification, amplification efficiency, and analytical precision, were defined for each assay. An internal amplification control (IAC) was designed to monitor for the presence of inhibitors commonly associated with environmental sampling that can confound DNA target copy number estimations. Finally, the abundance of each DNA target in primary effluent wastewater samples representative of 20 geographically distinct human populations was measured by qPCR analysis. In addition, the abundances of these human-specific DNA genes in wastewater were compared to those of rRNA genes of Bacteroidales and enterococci, two general fecal indicator bacterial groups that have been widely used for water quality testing.     

Pig Manure Contamination Marker Selection Based on the Influence of Biological Treatment on the Dominant Fecal Microbial Groups

The objective of this study was to identify a microbial marker for pig manure contamination. We quantified the persistence of four dominant bacterial groups from the pig intestinal tract throughout manure handling at 10 livestock operations (including aerobic digestion) by using molecular typing. The partial 16S rRNA genes of Bacteroides-Prevotella, Eubacterium-Clostridiaceae, Bacillus-Streptococcus-Lactobacillus (BSL), and Bifidobacterium group isolates were amplified and analyzed by capillary electrophoresis single-strand conformation polymorphism. The most dominant bacterial populations were identified by cloning and sequencing their 16S rRNA genes. The results showed that Bifidobacterium spp. and, to a lesser extent, members of the BSL group, were less affected by the aerobic treatment than either Eubacterium-Clostridiaceae or Bacteroides-Prevotella. Two Bifidobacterium species found in raw manure were still present in manure during land application, suggesting that they can survive outside the pig intestinal tract and also survive aerobic treatment. The 16S-23S rRNA internal transcribed spacer of one species, Bifidobacterium thermacidophilum subsp. porcinum, was sequenced, and a specific pair of primers was designed for its detection in the environment. With this nested PCR assay, this potential marker was not detected in samples from 30 bovine, 30 poultry, and 28 human fecal samples or in 15 urban wastewater effluents. As it was detected in runoff waters after spreading of pig manure, we propose this marker as a suitable microbial indicator of pig manure contamination.Brittany represents only 7% of France but is the main pig production area and hosts approximately 14 million fatteners per year. This high concentration of confined pig feeding has led to the overapplication of manure to soil, which contributes to water pollution. Physical and biological manure treatment processes have been developed to limit nitrogen and phosphorus pollution (5). As these treatments were not designed to eliminate microbial pollution, even treated manure can contain pathogenic microorganisms (27) and agricultural soils and water systems can thus potentially still be contaminated through surface runoff and seepage. As manure application can increase the number of pathogens in the soil (18), pig feces may represent a significant risk to human health in Brittany. Currently, the monitoring of bacteria to assess fecal contamination (Escherichia coli, fecal coliforms, and enterococci) does not differentiate contamination from pig slurry from pollution by other animals or humans. It is thus important to develop analytic tools to specifically detect this source of pollution.Many studies have already proposed potential markers for the detection of host-specific fecal pollution (2, 3, 8, 12-15, 20, 37, 38, 48, 49). Much of this research has concentrated on distinguishing human and animal sources of contamination (3, 8, 20, 30, 38). Some studies have focused on identifying individual sources of animal pollution and have described molecular markers for feces from ducks (13), chickens (37), bovines (2, 3, 49), or cervids (6). Biomarkers have been proposed for porcine fecal contamination but rarely for porcine manure, the bacterial composition of which differs from that of porcine feces (9). Molecular markers have been developed to target the 16S rRNA gene sequences of dominant Eubacteria (2, 14, 43, 48) or methanogenic Archaebacteria (54) of the pig intestinal tract, whereas Khatib et al. (29) targeted the STII toxin gene from enterotoxigenic E. coli. Among the dominant groups of pig fecal Eubacteria, which include Bacteroides-Prevotella, Eubacterium-Clostridiacea, Lactobacillus-Streptococcus (34, 45, 51, 58), and to a lesser extent Bifidobacterium (40), the Bacteroides-Prevotella group has been particularly well studied (14, 22, 44). This marker of pig feces was described by Okabe et al. (44), but their work was based on feces sampled from only two farms and the number of clones analyzed was low. Gourmelon et al. (22) also detected the presence of a specific marker of pig feces belonging to the Bacteroides-Prevotella group in five stored manure samples. Although these studies revealed the presence of specific markers in fecal samples and in the subsequent pig manure samples, they did not address the possible disappearance of these anaerobic bacteria during the storage or biological treatment of the manure.Due to the lack of data concerning the bacterial flora of manure, the aims of this study were (i) to compare the monitoring of the Bacteroides-Prevotella group with that of Eubacterium-Clostridiaceae, Bacillus-Streptococcus-Lactobacillus (BSL), and Bifidobacterium throughout the biological manure treatment process and (ii) to search for a molecular marker among these groups of bacteria that was consistently present in the manure intended for land application. In the first part of this study, the persistence of the dominant bacteria throughout treatment was studied by using molecular typing, capillary electrophoresis-single-strand conformation polymorphism (CE-SSCP) (45) based on the analysis of the 16S rRNA genes. CE-SSCP is a fingerprinting technique in which single-stranded DNA fragments of the same length are separated based on the conformation of their secondary structure (23). The major advantages of this technique are its reproducibility between runs and its high resolution power with fewer false results than with denaturing gradient gel electrophoresis (25, 26).The second part of this article describes the relevance of the potential marker of pig manure (Bifidobacterium thermacidophilum subsp. porcinum) selected according to the results of the CE-SSCP profiles and the subsequent identification of dominant peaks of the CE-SSCP profiles. The specificity of this pig marker was then tested by assessing the host distribution in a selection of fecal, manure, and wastewater samples.     

Eukaryotic Viruses in Wastewater Samples from the United States

Human fecal matter contains a large number of viruses, and current bacterial indicators used for monitoring water quality do not correlate with the presence of pathogenic viruses. Adenoviruses and enteroviruses have often been used to identify fecal pollution in the environment; however, other viruses shed in fecal matter may more accurately detect fecal pollution. The purpose of this study was to develop a baseline understanding of the types of viruses found in raw sewage. PCR was used to detect adenoviruses, enteroviruses, hepatitis B viruses, herpesviruses, morbilliviruses, noroviruses, papillomaviruses, picobirnaviruses, reoviruses, and rotaviruses in raw sewage collected throughout the United States. Adenoviruses and picobirnaviruses were detected in 100% of raw sewage samples and 25% and 33% of final effluent samples, respectively. Enteroviruses and noroviruses were detected in 75% and 58% of raw sewage samples, respectively, and both viral groups were found in 8% of final effluent samples. This study showed that adenoviruses, enteroviruses, noroviruses, and picobirnaviruses are widespread in raw sewage. Since adenoviruses and picobirnaviruses were detected in 100% of raw sewage samples, they are potential markers of fecal contamination. Additionally, this research uncovered previously unknown sequence diversity in human picobirnaviruses. This baseline understanding of viruses in raw sewage will enable educated decisions to be made regarding the use of different viruses in water quality assessments.Millions of viruses and bacteria are excreted in human fecal matter (5, 17, 82), and current methods of sewage treatment do not always effectively remove these organisms (74, 76-78). The majority of treated wastewater, as well as untreated sewage, drains into the marine environment (1) and has the potential to threaten environmental (e.g., nutrients and chemicals) (45) and public (e.g., pathogen exposure via swimming and seafood consumption) (1, 24, 28, 29, 33, 44, 57, 63) health. Currently, the U.S. Environmental Protection Agency (EPA) mandates the use of bacterial indicators such as fecal coliforms and enterococci to assess water quality (75). Although monitoring of these bacteria is simple and inexpensive, it has been shown that fecal-associated bacteria are not ideal indicators of fecal pollution.Since fecal-associated bacteria are able to live in sediments in the absence of fecal pollution (18, 32, 55), their resuspension into the water column can result in false-positive results and mask correlations between their concentrations and the extent of recent fecal pollution. Another unfavorable characteristic of current bacterial indicators is their inability to predict or correlate with the presence of pathogenic viruses (25, 40, 41, 64, 80). Human-pathogenic viruses associated with feces are generally more robust than enteric bacteria and are not as easily eliminated by current methods of wastewater treatment (43, 80). For example, adenoviruses are more resilient to tertiary wastewater treatment and UV disinfection than are bacterial indicators of fecal pollution (74). Since bacterial indicators cannot accurately depict the risks to human health from fecal pollution, several studies have proposed the use of a viral indicator of wastewater contamination (35, 41, 61).While it is impractical to monitor the presence of all viral pathogens related to wastewater pollution, the development of an accurate viral indicator of sewage contamination is needed for enhanced water quality monitoring. Enteric viruses (including viruses belonging to the families Adenoviridae, Caliciviridae, Picornaviridae, and Reoviridae) are transmitted via the fecal-oral route and are known to be abundant in raw sewage. These viruses have been used to identify fecal pollution in coastal environments throughout the world (27, 35, 39, 40, 48, 50, 56, 57, 63, 64, 67-69, 71, 80). To determine which viruses are effective indicators of fecal pollution, it is first necessary to establish a broad, baseline understanding of the many diverse groups of eukaryotic viruses in raw sewage. Several studies have identified adenoviruses, noroviruses, reoviruses, rotaviruses, and other enteroviruses (e.g., polioviruses, coxsackie viruses, and echoviruses) in raw sewage in Australia, Europe, and South Africa (30, 47, 58, 76-78). However, no broad baseline data on the presence of eukaryotic viruses in raw sewage in the United States currently exist.This study determined the presence of 10 viral groups (adenoviruses, enteroviruses, hepatitis B viruses, herpesviruses, morbilliviruses, noroviruses, papillomaviruses, picobirnaviruses, reoviruses, and rotaviruses) in raw sewage samples collected throughout the United States. All viral groups that were detected in raw sewage were then examined further to determine if they were also present in final treated wastewater effluent. These 10 viral groups were chosen because of their potential to be transmitted via the fecal-oral route, suggesting that they might be found in raw sewage. Many of these viruses (excluding adenoviruses, enteroviruses, noroviruses, reoviruses, and rotaviruses) have not been studied in sewage despite their likely presence. Picobirnaviruses have been detected in individual fecal samples (12, 70, 79, 82); however, their presence has never been analyzed in collective waste, nor have they been proposed to be potential markers of fecal pollution. This study identified potential viral indicators of fecal pollution and will have important applications to water quality monitoring programs throughout the country.     

Molecular Indicators Used in the Development of Predictive Models for Microbial Source Tracking

A number of chemical, microbial, and eukaryotic indicators have been proposed as indicators of fecal pollution sources in water bodies. No single one of the indicators tested to date has been able to determine the source of fecal pollution in water. However, the combined use of different indicators has been demonstrated to be the best way of defining predictive models suitable for determining fecal pollution sources. Molecular methods are promising tools that could complement standard microbiological water analysis. In this study, the feasibility of some proposed molecular indicators for microbial source tracking (MST) was compared (names of markers are in parentheses): host-specific Bacteroidetes (HF134, HF183, CF128, and CF193), Bifidobacterium adolescentis (ADO), Bifidobacterium dentium (DEN), the gene esp of Enterococcus faecium, and host-specific mitochondrial DNA associated with humans, cattle, and pigs (Humito, Bomito, and Pomito, respectively). None of the individual molecular markers tested enabled 100% source identification. They should be combined with other markers to raise sensitivity and specificity and increase the number of sources that are identified. MST predictive models using only these molecular markers were developed. The models were evaluated by considering the lowest number of molecular indicators needed to obtain the highest rate of identification of fecal sources. The combined use of three molecular markers (ADO, Bomito, and Pomito) enabled correct identification of 75.7% of the samples, with differentiation between human, swine, bovine, and poultry sources. Discrimination between human and nonhuman fecal pollution was possible using two markers: ADO and Pomito (84.6% correct identification). The percentage of correct identification increased with the number of markers analyzed. The best predictive model for distinguishing human from nonhuman fecal sources was based on 5 molecular markers (HF134, ADO, DEN, Bomito, and Pomito) and provided 90.1% correct classification.Fecal pollution represents a serious public health problem. Pathogens from infected animals and humans can be introduced into the environment through feces and cause health risks, environmental degradation, and economic losses. In recent years, water authorities'' environmental and sanitary regulations have focused on the total fecal load that can be held by a water body and on determining the source of fecal pollution. Accurate and reliable methods for detecting fecal pollution are needed to reduce its occurrence, prevent future spills, decrease economic losses, and take legal measures.Total coliforms, fecal coliforms, enterococci, and Escherichia coli have traditionally been used as microbial fecal indicators in water. These microorganisms are easy to enumerate by cultivation methods. However, they do not identify the source of fecal pollution.Fecal pollution of surface waters comes from point or diffuse sources, including municipal sewage, slaughterhouse wastewater, manure and biosolid disposal, wildlife, and undetermined runoff. Reliable microbial source tracking (MST) methods can provide efficient and rapid fecal source determination and facilitate cost-effective remediation. In recent years, various MST methods have been developed that are based on library-dependent or -independent methods and analyze phenotypic and/or genomic characteristics (39, 54, 55). Library-dependent methods (LDM) require a comprehensive library of isolates from known sources. Isolates from unknown sources are classified by correspondence with those from the library (57). LDM include antibiotic resistance analysis, carbon source utilization, repetitive PCR, and ribotyping. However, the geographic and temporal stability and the numerical methods used for these LDM have been questioned (26, 44). Some cultivation-based methods have already been described, such as the detection of specific enterotoxins of E. coli strains (30, 31, 43), the differentiation and enumeration of sorbitol-fermenting bifidobacteria (10, 37), and the enumeration of phages that infect host-specific Bacteroides spp. (8, 45). Cultivation methods detect only viable bacteria, may give a biased picture of the populations, and thus misrepresent the bacterial diversity (60). The use of PCR-based methods allows the detection of bacteria that are difficult to grow, such as anaerobes, including the genera Bacteroides and Bifidobacterium (5, 9, 14, 63), Rhodococcus coprophilus (51), methanogenic archaeal bacteria (59), and viruses (27). More detailed information on MST methods can be found in several technical reviews (8, 17, 54, 55, 57).Bifidobacterium and Bacteroides have been proposed as possible source-tracking indicators for waterborne fecal pathogens (3, 18, 33, 37, 41, 48). Several Bifidobacterium species are thought to be human host specific, such as Bifidobacterium adolescentis, Bifidobacterium dentium, and Bifidobacterium longum (58). Meanwhile, others have been linked to certain domestic animals (20, 61). A multiplex PCR has been developed to detect human fecal pollution by analyzing the presence of B. dentium and B. adolescentis in water (9). Bacteroidetes markers are mainly based on the definition of host-specific oligonucleotides (for example, to detect human, ruminant, and swine pollution) that are associated with some uncultured populations (5, 15, 32, 46, 47). Geographical differences in host specificity have been observed when these markers are applied in different world regions (1, 2, 11, 21, 22, 24, 40, 42). The detection of the gene esp, which encodes an enterococcal surface protein, has also been proposed as an indicator of human fecal pollution (53). This gene has been associated with the virulence, colonization and biofilm formation found in Enterococcus faecium and Enterococcus faecalis (25). However, recent studies have indicated that the detection of esp may not always be related to human fecal pollution (12, 35). Other MST indicators have been developed for eukaryotic molecular markers. Martellini et al. (38) designed a PCR protocol that targets eukaryotic genetic markers as a fecal source tracking method for differentiating human, porcine, bovine, and ovine fecal pollution. This protocol consists of nested PCRs, based on the amplification of mitochondrial DNA from the host cells. Multiplex and real-time PCR methods for mitochondrial MST indicators have also been developed (4, 13, 52).It has been shown that no single microbial or chemical MST indicator can determine the source of fecal pollution. Therefore, a selection of indicators is required (7, 8, 22, 24). Predictive models to distinguish between human and nonhuman pollution have been developed by combining indicators. These models have achieved a 100% likelihood of success (7, 24, 56). However, they are mostly based on culture-dependent methods, and discernment among different animal sources should be attained. In this study, microbial and eukaryotic molecular markers were compared for use as MST indicators. Potential combinations were also evaluated. Finally, MST predictive models using only these molecular markers were developed using a number of established statistical methods. The models were evaluated by considering the lowest number of molecular indicators needed to obtain the highest rate of discrimination among fecal sources.     

A New Borrelia Species Defined by Multilocus Sequence Analysis of Housekeeping Genes

Analysis of Lyme borreliosis (LB) spirochetes, using a novel multilocus sequence analysis scheme, revealed that OspA serotype 4 strains (a rodent-associated ecotype) of Borrelia garinii were sufficiently genetically distinct from bird-associated B. garinii strains to deserve species status. We suggest that OspA serotype 4 strains be raised to species status and named Borrelia bavariensis sp. nov. The rooted phylogenetic trees provide novel insights into the evolutionary history of LB spirochetes.Multilocus sequence typing (MLST) and multilocus sequence analysis (MLSA) have been shown to be powerful and pragmatic molecular methods for typing large numbers of microbial strains for population genetics studies, delineation of species, and assignment of strains to defined bacterial species (4, 13, 27, 40, 44). To date, MLST/MLSA schemes have been applied only to a few vector-borne microbial populations (1, 6, 30, 37, 40, 41, 47).Lyme borreliosis (LB) spirochetes comprise a diverse group of zoonotic bacteria which are transmitted among vertebrate hosts by ixodid (hard) ticks. The most common agents of human LB are Borrelia burgdorferi (sensu stricto), Borrelia afzelii, Borrelia garinii, Borrelia lusitaniae, and Borrelia spielmanii (7, 8, 12, 35). To date, 15 species have been named within the group of LB spirochetes (6, 31, 32, 37, 38, 41). While several of these LB species have been delineated using whole DNA-DNA hybridization (3, 20, 33), most ecological or epidemiological studies have been using single loci (5, 9-11, 29, 34, 36, 38, 42, 51, 53). Although some of these loci have been convenient for species assignment of strains or to address particular epidemiological questions, they may be unsuitable to resolve evolutionary relationships among LB species, because it is not possible to define any outgroup. For example, both the 5S-23S intergenic spacer (5S-23S IGS) and the gene encoding the outer surface protein A (ospA) are present only in LB spirochete genomes (36, 43). The advantage of using appropriate housekeeping genes of LB group spirochetes is that phylogenetic trees can be rooted with sequences of relapsing fever spirochetes. This renders the data amenable to detailed evolutionary studies of LB spirochetes.LB group spirochetes differ remarkably in their patterns and levels of host association, which are likely to affect their population structures (22, 24, 46, 48). Of the three main Eurasian Borrelia species, B. afzelii is adapted to rodents, whereas B. valaisiana and most strains of B. garinii are maintained by birds (12, 15, 16, 23, 26, 45). However, B. garinii OspA serotype 4 strains in Europe have been shown to be transmitted by rodents (17, 18) and, therefore, constitute a distinct ecotype within B. garinii. These strains have also been associated with high pathogenicity in humans, and their finer-scale geographical distribution seems highly focal (10, 34, 52, 53).In this study, we analyzed the intra- and interspecific phylogenetic relationships of B. burgdorferi, B. afzelii, B. garinii, B. valaisiana, B. lusitaniae, B. bissettii, and B. spielmanii by means of a novel MLSA scheme based on chromosomal housekeeping genes (30, 48).     

Evaluation of Swine-Specific PCR Assays Used for Fecal Source Tracking and Analysis of Molecular Diversity of Swine-Specific “Bacteroidales” Populations

In this study, we evaluated the specificity, distribution, and sensitivity of Prevotella strain-based (PF163 and PigBac1) and methanogen-based (P23-2) PCR assays proposed to detect swine fecal pollution in environmental waters. The assays were tested against 222 fecal DNA extracts derived from target and nontarget animal hosts and against 34 groundwater and 15 surface water samples from five different sites. We also investigated the phylogenetic diversity of 1,340 “Bacteroidales” 16S rRNA gene sequences derived from swine feces, swine waste lagoons, swine manure pits, and waters adjacent to swine operations. Most swine fecal samples were positive for the host-specific Prevotella-based PCR assays (80 to 87%), while fewer were positive with the methanogen-targeted PCR assay (53%). Similarly, the Prevotella markers were detected more frequently than the methanogen-targeted assay markers in waters historically impacted with swine fecal contamination. However, the PF163 PCR assay cross-reacted with 23% of nontarget fecal DNA extracts, although Bayesian statistics suggested that it yielded the highest probability of detecting pig fecal contamination in a given water sample. Phylogenetic analyses revealed previously unknown swine-associated clades comprised of clones from geographically diverse swine sources and from water samples adjacent to swine operations that are not targeted by the Prevotella assays. While deeper sequencing coverage might be necessary to better understand the molecular diversity of fecal Bacteroidales species, results of sequence analyses supported the presence of swine fecal pollution in the studied watersheds. Overall, due to nontarget cross amplification and poor geographic stability of currently available host-specific PCR assays, development of additional assays is necessary to accurately detect sources of swine fecal pollution.The size of swine farming operations has increased significantly during the last few decades as a result of the high demand for pork products. In fact, pork is now considered the most popular meat worldwide (15). In the United States, the number of large confined swine animal units increased by 3 orders of magnitude from 1982 to 1997 (18), making the swine industry among the top three producers of domesticated animal feces. A direct consequence of this trend is the increase in swine fecal waste, which in turn has raised environmental concerns. When introduced to water, swine fecal waste can present a risk to human health because this waste can harbor a variety of human pathogens (5, 13, 15, 21, 36). The diversity and relatively high frequency of human pathogens in swine feces make swine important reservoirs of zoonotic pathogens. Moreover, the marked increase in the number of large operations has resulted in increased manure production and application in small geographic areas, creating an imbalance between the assimilative capacity of manure-treated farmland and the amount of manure nutrients produced on each farm. This imbalance is evidenced by the 20% increase (from 1982 to 1997) in nitrogen and phosphorus produced in swine operations, thus potentially contributing to the detrimental eutrophication of aquatic ecosystems (18). Swine manure spills and leaks are commonplace in the top hog production states, such as Iowa and North Carolina, due to failure or overflow of manure storage, uncontrolled runoff from open feedlots, improper manure application on cropland, deliberate pumping of manure onto the ground, and intentional breaches in storage lagoons (28, 37).Recently, swine-associated PCR-based methods targeting members of the “Bacteroidales” order (i.e., Prevotella species) and methanogen populations (12, 29, 35) have been proposed to discriminate swine fecal pollution events from other potential fecal contributions (i.e., human, bovine, and wildlife) to environmental waters. Nevertheless, the value of these assays in reliably detecting fecal pollution sources in watershed-based studies has not been thoroughly investigated. The main goals of this study were to determine host specificity, frequency of detection, and detection limits of currently available swine-associated PCR-based, microbial source tracking assays. To achieve these objectives, assays were tested against swine and nontarget fecal samples, samples from swine manure pits and swine waste lagoons, and water samples presumed to be impacted by swine fecal sources. Furthermore, we investigated the phylogenetic diversity of Bacteroidales 16S rRNA gene sequences derived from some of the aforementioned samples to resolve the level of specificity, relative abundance, and environmental occurrence of Bacteroidales-specific 16S rRNA gene sequences.     

Pepper Mild Mottle Virus as an Indicator of Fecal Pollution

Accurate indicators of fecal pollution are needed in order to minimize public health risks associated with wastewater contamination in recreational waters. However, the bacterial indicators currently used for monitoring water quality do not correlate with the presence of pathogens. Here we demonstrate that the plant pathogen Pepper mild mottle virus (PMMoV) is widespread and abundant in wastewater from the United States, suggesting the utility of this virus as an indicator of human fecal pollution. Quantitative PCR was used to determine the abundance of PMMoV in raw sewage, treated wastewater, seawater exposed to wastewater, and fecal samples and/or intestinal homogenates from a wide variety of animals. PMMoV was present in all wastewater samples at concentrations greater than 1 million copies per milliliter of raw sewage. Despite the ubiquity of PMMoV in human feces, this virus was not detected in the majority of animal fecal samples tested, with the exception of chicken and seagull samples. PMMoV was detected in four out of six seawater samples collected near point sources of secondary treated wastewater off southeastern Florida, where it co-occurred with several other pathogens and indicators of fecal pollution. Since PMMoV was not found in nonpolluted seawater samples and could be detected in surface seawater for approximately 1 week after its initial introduction, the presence of PMMoV in the marine environment reflects a recent contamination event. Together, these data demonstrate that PMMoV is a promising new indicator of fecal pollution in coastal environments.Existing wastewater treatment practices are not always effective at removing the large number of pathogens (bacteria, protists, and viruses) present in human feces (17, 42, 47-49, 51). Therefore, wastewater discharges into the environment can have a negative impact on human health. Recreational waters throughout the United States are monitored for the presence of fecal pollution as a means of limiting public exposure to pathogens in areas impacted by wastewater discharges (44). The presence of pathogenic viruses in aquatic environments is an important parameter to consider in the evaluation of water quality. However, the bacterial indicators currently used to detect fecal contamination, such as fecal coliforms and enterococci, often do not correlate with the presence of feces-associated viruses and other pathogens (5, 10, 26, 33, 37, 51). In response, several researchers have proposed the use of viral indicators as a more effective method for monitoring wastewater contamination and the associated risks to public health (11, 14, 31).To date, the majority of the proposed viral indicators of fecal pollution are enteric viruses transmitted via the fecal-oral route (4). Enteric viruses present in raw sewage (including members of the families Adenoviridae, Caliciviridae, Picornaviridae, and Reoviridae and of the genus Anellovirus) have been used in several previous studies to identify fecal pollution in the environment (7, 8, 11, 12, 13, 18, 19, 27, 28, 32-36, 38, 50, 51). Of the enteric viruses that have been used as indicators, only the adenoviruses were ubiquitously found in raw sewage samples collected throughout the United States (41). Picobirnaviruses and Torque teno virus are abundant in raw sewage from some regions and thus have also been proposed as indicator viruses (15, 41). However, one potential problem with the use of human viruses as indicators is that their abundance in wastewater depends on the degree of infection and shedding in the human population at any given time.In addition to viruses infecting humans, other viruses shed in feces may be useful for indicating wastewater pollution. The plant pathogen Pepper mild mottle virus (PMMoV) was the most abundant virus found in a metagenomic survey of RNA viruses from human feces (52). PMMoV is a positive-sense, single-stranded RNA virus that belongs to the Tobamovirus genus and infects hot, bell, and ornamental peppers (Capsicum spp.) (9). The nonenveloped, rod-shaped PMMoV virions are extremely stable (9) and have been demonstrated to retain their infectivity for plants after passage through the human gut (52). PMMoV originates from processed pepper products (e.g., hot sauce and curry) and is excreted in human feces at concentrations of 1 million to 1 billion viruses per g (dry weight) (52). Since the presence of PMMoV in human feces is dietary in origin, this plant pathogen may be more abundant in the healthy human population than viruses that cause human disease.This study analyzed the presence of PMMoV in raw sewage and treated wastewater samples collected from wastewater treatment facilities throughout the coastal United States. To determine if PMMoV is a human-specific indicator useful for tracking the source of fecal pollution, fecal samples from numerous animals were tested for this virus. Finally, the presence of PMMoV in marine environments exposed to wastewater was determined and compared to that of other microbial indicators. The results of this work demonstrate that PMMoV is a promising indicator of fecal pollution.     

Alignment of the c-Type Cytochrome OmcS along Pili of Geobacter sulfurreducens

Immunogold localization revealed that OmcS, a cytochrome that is required for Fe(III) oxide reduction by Geobacter sulfurreducens, was localized along the pili. The apparent spacing between OmcS molecules suggests that OmcS facilitates electron transfer from pili to Fe(III) oxides rather than promoting electron conduction along the length of the pili.There are multiple competing/complementary models for extracellular electron transfer in Fe(III)- and electrode-reducing microorganisms (8, 18, 20, 44). Which mechanisms prevail in different microorganisms or environmental conditions may greatly influence which microorganisms compete most successfully in sedimentary environments or on the surfaces of electrodes and can impact practical decisions on the best strategies to promote Fe(III) reduction for bioremediation applications (18, 19) or to enhance the power output of microbial fuel cells (18, 21).The three most commonly considered mechanisms for electron transfer to extracellular electron acceptors are (i) direct contact between redox-active proteins on the outer surfaces of the cells and the electron acceptor, (ii) electron transfer via soluble electron shuttling molecules, and (iii) the conduction of electrons along pili or other filamentous structures. Evidence for the first mechanism includes the necessity for direct cell-Fe(III) oxide contact in Geobacter species (34) and the finding that intensively studied Fe(III)- and electrode-reducing microorganisms, such as Geobacter sulfurreducens and Shewanella oneidensis MR-1, display redox-active proteins on their outer cell surfaces that could have access to extracellular electron acceptors (1, 2, 12, 15, 27, 28, 31-33). Deletion of the genes for these proteins often inhibits Fe(III) reduction (1, 4, 7, 15, 17, 28, 40) and electron transfer to electrodes (5, 7, 11, 33). In some instances, these proteins have been purified and shown to have the capacity to reduce Fe(III) and other potential electron acceptors in vitro (10, 13, 29, 38, 42, 43, 48, 49).Evidence for the second mechanism includes the ability of some microorganisms to reduce Fe(III) that they cannot directly contact, which can be associated with the accumulation of soluble substances that can promote electron shuttling (17, 22, 26, 35, 36, 47). In microbial fuel cell studies, an abundance of planktonic cells and/or the loss of current-producing capacity when the medium is replaced is consistent with the presence of an electron shuttle (3, 14, 26). Furthermore, a soluble electron shuttle is the most likely explanation for the electrochemical signatures of some microorganisms growing on an electrode surface (26, 46).Evidence for the third mechanism is more circumstantial (19). Filaments that have conductive properties have been identified in Shewanella (7) and Geobacter (41) species. To date, conductance has been measured only across the diameter of the filaments, not along the length. The evidence that the conductive filaments were involved in extracellular electron transfer in Shewanella was the finding that deletion of the genes for the c-type cytochromes OmcA and MtrC, which are necessary for extracellular electron transfer, resulted in nonconductive filaments, suggesting that the cytochromes were associated with the filaments (7). However, subsequent studies specifically designed to localize these cytochromes revealed that, although the cytochromes were extracellular, they were attached to the cells or in the exopolymeric matrix and not aligned along the pili (24, 25, 30, 40, 43). Subsequent reviews of electron transfer to Fe(III) in Shewanella oneidensis (44, 45) appear to have dropped the nanowire concept and focused on the first and second mechanisms.Geobacter sulfurreducens has a number of c-type cytochromes (15, 28) and multicopper proteins (12, 27) that have been demonstrated or proposed to be on the outer cell surface and are essential for extracellular electron transfer. Immunolocalization and proteolysis studies demonstrated that the cytochrome OmcB, which is essential for optimal Fe(III) reduction (15) and highly expressed during growth on electrodes (33), is embedded in the outer membrane (39), whereas the multicopper protein OmpB, which is also required for Fe(III) oxide reduction (27), is exposed on the outer cell surface (39).OmcS is one of the most abundant cytochromes that can readily be sheared from the outer surfaces of G. sulfurreducens cells (28). It is essential for the reduction of Fe(III) oxide (28) and for electron transfer to electrodes under some conditions (11). Therefore, the localization of this important protein was further investigated.     

mcrA-Targeted Real-Time Quantitative PCR Method To Examine Methanogen Communities

Methanogens are of great importance in carbon cycling and alternative energy production, but quantitation with culture-based methods is time-consuming and biased against methanogen groups that are difficult to cultivate in a laboratory. For these reasons, methanogens are typically studied through culture-independent molecular techniques. We developed a SYBR green I quantitative PCR (qPCR) assay to quantify total numbers of methyl coenzyme M reductase α-subunit (mcrA) genes. TaqMan probes were also designed to target nine different phylogenetic groups of methanogens in qPCR assays. Total mcrA and mcrA levels of different methanogen phylogenetic groups were determined from six samples: four samples from anaerobic digesters used to treat either primarily cow or pig manure and two aliquots from an acidic peat sample stored at 4°C or 20°C. Only members of the Methanosaetaceae, Methanosarcina, Methanobacteriaceae, and Methanocorpusculaceae and Fen cluster were detected in the environmental samples. The three samples obtained from cow manure digesters were dominated by members of the genus Methanosarcina, whereas the sample from the pig manure digester contained detectable levels of only members of the Methanobacteriaceae. The acidic peat samples were dominated by both Methanosarcina spp. and members of the Fen cluster. In two of the manure digester samples only one methanogen group was detected, but in both of the acidic peat samples and two of the manure digester samples, multiple methanogen groups were detected. The TaqMan qPCR assays were successfully able to determine the environmental abundance of different phylogenetic groups of methanogens, including several groups with few or no cultivated members.Methanogens are integral to carbon cycling, catalyzing the production of methane and carbon dioxide, both potent greenhouse gases, during organic matter degradation in anaerobic soils and sediment (8). Methanogens are widespread in anaerobic environments, including tundra (36), freshwater lake and wetland sediments (9, 12), estuarine and marine sediments (2), acidic peatlands (4, 14), rice field soil (10, 16), animal guts (41), landfills (30), and anaerobic digesters treating animal manure (1), food processing wastewater (27), and municipal wastewater and solid waste (37, 57). Methane produced in anaerobic digesters may be captured and used for energy production, thus offsetting some or all of the cost of operation and reducing the global warming potential of methane release to the atmosphere.Methanogens are difficult to study through culture-based methods, and therefore many researchers have instead used culture-independent techniques to study methanogen populations. The 16S rRNA gene is the most widely used target for gene surveys, and a number of primers and probes have been developed to target methanogen groups (9, 11, 31, 36, 38, 40, 46, 48, 57). To eliminate potential problems with nonspecific amplification, some researchers have developed primers for the gene sequence of the α-subunit of the methyl coenzyme M reductase (mcrA) (17, 30, 49). The Mcr is exclusive to the methanogens with the exception of the methane-oxidizing Archaea (18) and shows mostly congruent phylogeny to the 16S rRNA gene, allowing mcrA analysis to be used in conjunction with, or independently of, that of the 16S rRNA gene (3, 30, 49). A number of researchers have examined methanogen communities with mcrA and have found uncultured clades quite different in sequence from cultured methanogen representatives (9, 10, 12, 14, 17, 22, 28, 47).Previous studies described methanogen communities by quantitation of different clades through the use of rRNA-targeted or rRNA gene-targeted probes with techniques such as dot blot hybridization (1, 27, 37, 38, 48) and fluorescent in situ hybridization (11, 40, 44, 57). Real-time quantitative PCR (qPCR) is an alternate technique capable of determining the copy number of a particular gene present in the DNA extracted from an environmental sample. Only a few studies have used qPCR to quantitatively examine different clades within methanogen communities, and most of these studies have exclusively targeted the 16S rRNA gene (19, 41, 42, 54-56). Far fewer researchers have used qPCR to quantify methanogen clades by targeting the mcrA (21, 34, 45), and these studies were limited to only a few phylogenetic groups.In this paper we present a methodology for determining methanogen gene copy numbers through the use of qPCR targeting the mcrA. Methanogens were quantified in total using methanogen-specific primers in SYBR green assays and also as members of nine different phylogenetic groups using TaqMan probes targeting specific subsets of methanogens.     

Cultivation of Fastidious Bacteria by Viability Staining and Micromanipulation in a Soil Substrate Membrane System

Soil substrate membrane systems allow for microcultivation of fastidious soil bacteria as mixed microbial communities. We isolated established microcolonies from these membranes by using fluorescence viability staining and micromanipulation. This approach facilitated the recovery of diverse, novel isolates, including the recalcitrant bacterium Leifsonia xyli, a plant pathogen that has never been isolated outside the host.The majority of bacterial species have never been recovered in the laboratory (1, 14, 19, 24). In the last decade, novel cultivation approaches have successfully been used to recover “unculturables” from a diverse range of divisions (23, 25, 29). Most strategies have targeted marine environments (4, 23, 25, 32), but soil offers the potential for the investigation of vast numbers of undescribed species (20, 29). Rapid advances have been made toward culturing soil bacteria by reformulating and diluting traditional media, extending incubation times, and using alternative gelling agents (8, 21, 29).The soil substrate membrane system (SSMS) is a diffusion chamber approach that uses extracts from the soil of interest as the growth substrate, thereby mimicking the environment under investigation (12). The SSMS enriches for slow-growing oligophiles, a proportion of which are subsequently capable of growing on complex media (23, 25, 27, 30, 32). However, the SSMS results in mixed microbial communities, with the consequent difficulty in isolation of individual microcolonies for further characterization (10).Micromanipulation has been widely used for the isolation of specific cell morphotypes for downstream applications in molecular diagnostics or proteomics (5, 15). This simple technology offers the opportunity to select established microcolonies of a specific morphotype from the SSMS when combined with fluorescence visualization (3, 11). Here, we have combined the SSMS, fluorescence viability staining, and advanced micromanipulation for targeted isolation of viable, microcolony-forming soil bacteria.     

Roles of Minor Pilin Subunits Spy0125 and Spy0130 in the Serotype M1 Streptococcus pyogenes Strain SF370

Adhesive pili on the surface of the serotype M1 Streptococcus pyogenes strain SF370 are composed of a major backbone subunit (Spy0128) and two minor subunits (Spy0125 and Spy0130), joined covalently by a pilin polymerase (Spy0129). Previous studies using recombinant proteins showed that both minor subunits bind to human pharyngeal (Detroit) cells (A. G. Manetti et al., Mol. Microbiol. 64:968-983, 2007), suggesting both may act as pilus-presented adhesins. While confirming these binding properties, studies described here indicate that Spy0125 is the pilus-presented adhesin and that Spy0130 has a distinct role as a wall linker. Pili were localized predominantly to cell wall fractions of the wild-type S. pyogenes parent strain and a spy0125 deletion mutant. In contrast, they were found almost exclusively in culture supernatants in both spy0130 and srtA deletion mutants, indicating that the housekeeping sortase (SrtA) attaches pili to the cell wall by using Spy0130 as a linker protein. Adhesion assays with antisera specific for individual subunits showed that only anti-rSpy0125 serum inhibited adhesion of wild-type S. pyogenes to human keratinocytes and tonsil epithelium to a significant extent. Spy0125 was localized to the tip of pili, based on a combination of mutant analysis and liquid chromatography-tandem mass spectrometry analysis of purified pili. Assays comparing parent and mutant strains confirmed its role as the adhesin. Unexpectedly, apparent spontaneous cleavage of a labile, proline-rich (8 of 14 residues) sequence separating the N-terminal ∼1/3 and C-terminal ∼2/3 of Spy0125 leads to loss of the N-terminal region, but analysis of internal spy0125 deletion mutants confirmed that this has no significant effect on adhesion.The group A Streptococcus (S. pyogenes) is an exclusively human pathogen that commonly colonizes either the pharynx or skin, where local spread can give rise to various inflammatory conditions such as pharyngitis, tonsillitis, sinusitis, or erysipelas. Although often mild and self-limiting, GAS infections are occasionally very severe and sometimes lead to life-threatening diseases, such as necrotizing fasciitis or streptococcal toxic shock syndrome. A wide variety of cell surface components and extracellular products have been shown or suggested to play important roles in S. pyogenes virulence, including cell surface pili (1, 6, 32). Pili expressed by the serotype M1 S. pyogenes strain SF370 mediate specific adhesion to intact human tonsil epithelia and to primary human keratinocytes, as well as cultured keratinocyte-derived HaCaT cells, but not to Hep-2 or A549 cells (1). They also contribute to adhesion to a human pharyngeal cell line (Detroit cells) and to biofilm formation (29).Over the past 5 years, pili have been discovered on an increasing number of important Gram-positive bacterial pathogens, including Bacillus cereus (4), Bacillus anthracis (4, 5), Corynebacterium diphtheriae (13, 14, 19, 26, 27, 44, 46, 47), Streptococcus agalactiae (7, 23, 38), and Streptococcus pneumoniae (2, 3, 24, 25, 34), as well as S. pyogenes (1, 29, 32). All these species produce pili that are composed of a single major subunit plus either one or two minor subunits. During assembly, the individual subunits are covalently linked to each other via intermolecular isopeptide bonds, catalyzed by specialized membrane-associated transpeptidases that may be described as pilin polymerases (4, 7, 25, 41, 44, 46). These are related to the classical housekeeping sortase (usually, but not always, designated SrtA) that is responsible for anchoring many proteins to Gram-positive bacterial cell walls (30, 31, 33). The C-terminal ends of sortase target proteins include a cell wall sorting (CWS) motif consisting, in most cases, of Leu-Pro-X-Thr-Gly (LPXTG, where X can be any amino acid) (11, 40). Sortases cleave this substrate between the Thr and Gly residues and produce an intermolecular isopeptide bond linking the Thr to a free amino group provided by a specific target. In attaching proteins to the cell wall, the target amino group is provided by the lipid II peptidoglycan precursor (30, 36, 40). In joining pilus subunits, the target is the ɛ-amino group in the side chain of a specific Lys residue in the second subunit (14, 18, 19). Current models of pilus biogenesis envisage repeated transpeptidation reactions adding additional subunits to the base of the growing pilus, until the terminal subunit is eventually linked covalently via an intermolecular isopeptide bond to the cell wall (28, 41, 45).The major subunit (sometimes called the backbone or shaft subunit) extends along the length of the pilus and appears to play a structural role, while minor subunits have been detected either at the tip, the base, and/or at occasional intervals along the shaft, depending on the species (4, 23, 24, 32, 47). In S. pneumoniae and S. agalactiae one of the minor subunits acts as an adhesin, while the second appears to act as a linker between the base of the assembled pilus and the cell wall (7, 15, 22, 34, 35). It was originally suggested that both minor subunits of C. diphtheriae pili could act as adhesins (27). However, recent data showed one of these has a wall linker role (26, 44) and may therefore not function as an adhesin.S. pyogenes strain SF370 pili are composed of a major (backbone) subunit, termed Spy0128, plus two minor subunits, called Spy0125 and Spy0130 (1, 32). All three are required for efficient adhesion to target cells (1). Studies employing purified recombinant proteins have shown that both of the minor subunits, but not the major subunit, bind to Detroit cells (29), suggesting both might act as pilus-presented adhesins. Here we report studies employing a combination of recombinant proteins, specific antisera, and allelic replacement mutants which show that only Spy0125 is the pilus-presented adhesin and that Spy0130 has a distinct role in linking pili to the cell wall.     

Preinfection Human Immunodeficiency Virus (HIV)-Specific Cytotoxic T Lymphocytes Failed To Prevent HIV Type 1 Infection from Strains Genetically Unrelated to Viruses in Long-Term Exposed Partners

Understanding the mechanisms underlying potential altered susceptibility to human immunodeficiency virus type 1 (HIV-1) infection in highly exposed seronegative (ES) individuals and the later clinical consequences of breakthrough infection can provide insight into strategies to control HIV-1 with an effective vaccine. From our Seattle ES cohort, we identified one individual (LSC63) who seroconverted after over 2 years of repeated unprotected sexual contact with his HIV-1-infected partner (P63) and other sexual partners of unknown HIV-1 serostatus. The HIV-1 variants infecting LSC63 were genetically unrelated to those sequenced from P63. This may not be surprising, since viral load measurements in P63 were repeatedly below 50 copies/ml, making him an unlikely transmitter. However, broad HIV-1-specific cytotoxic T-lymphocyte (CTL) responses were detected in LSC63 before seroconversion. Compared to those detected after seroconversion, these responses were of lower magnitude and half of them targeted different regions of the viral proteome. Strong HLA-B27-restricted CTLs, which have been associated with disease control, were detected in LSC63 after but not before seroconversion. Furthermore, for the majority of the protein-coding regions of the HIV-1 variants in LSC63 (except gp41, nef, and the 3′ half of pol), the genetic distances between the infecting viruses and the viruses to which he was exposed through P63 (termed the exposed virus) were comparable to the distances between random subtype B HIV-1 sequences and the exposed viruses. These results suggest that broad preinfection immune responses were not able to prevent the acquisition of HIV-1 infection in LSC63, even though the infecting viruses were not particularly distant from the viruses that may have elicited these responses.Understanding the mechanisms of altered susceptibility or control of human immunodeficiency virus type 1 (HIV-1) infection in highly exposed seronegative (ES) persons may provide invaluable information aiding the design of HIV-1 vaccines and therapy (9, 14, 15, 33, 45, 57, 58). In a cohort of female commercial sex workers in Nairobi, Kenya, a small proportion of individuals remained seronegative for over 3 years despite the continued practice of unprotected sex (12, 28, 55, 56). Similarly, resistance to HIV-1 infection has been reported in homosexual men who frequently practiced unprotected sex with infected partners (1, 15, 17, 21, 61). Multiple factors have been associated with the resistance to HIV-1 infection in ES individuals (32), including host genetic factors (8, 16, 20, 37-39, 44, 46, 47, 49, 59, 63), such as certain HLA class I and II alleles (41), as well as cellular (1, 15, 26, 55, 56), humoral (25, 29), and innate immune responses (22, 35).Seroconversion in previously HIV-resistant Nairobi female commercial sex workers, despite preexisting HIV-specific cytotoxic T-lymphocyte (CTL) responses, has been reported (27). Similarly, 13 of 125 ES enrollees in our Seattle ES cohort (1, 15, 17) have become late seroconverters (H. Zhu, T. Andrus, Y. Liu, and T. Zhu, unpublished observations). Here, we analyze the virology, genetics, and immune responses of HIV-1 infection in one of the later seroconverting subjects, LSC63, who had developed broad CTL responses before seroconversion.