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.     

Quantification of Human Polyomaviruses JC Virus and BK Virus by TaqMan Quantitative PCR and Comparison to Other Water Quality Indicators in Water and Fecal Samples

In the United States, total maximum daily load standards for bodies of water that do not meet bacterial water quality standards are set by each state. The presence of human polyomaviruses (HPyVs) can be used as an indicator of human-associated sewage pollution in these waters. We have developed and optimized a TaqMan quantitative PCR (QPCR) assay based on the conserved T antigen to both quantify and simultaneously detect two HPyVs; JC virus and BK virus. The QPCR assay was able to consistently quantify ≥10 gene copies per reaction and is linear over 5 orders of magnitude. HPyVs were consistently detected in human waste samples (57 of 64) and environmental waters with known human fecal contamination (5 of 5) and were not amplified in DNA extracted from 127 animal waste samples from 14 species. HPyV concentrations in sewage decreased 81.2 and 84.2% over 28 days incubation at 25 and 35°C, respectively. HPyVs results were compared to Escherichia coli, fecal coliform, and enterococci concentrations and the presence of three other human-associated microbes: Bacteroidetes, Methanobrevibacter smithii, and adenovirus. HPyVs were the most frequently detected of these in human and contaminated environmental samples and were more human specific than the Bacteroidetes (HF183) or M. smithii. HPyVs and M. smithii more closely mimicked the persistence of adenovirus in sewage than the other microbes. The use of this rapid and quantitative assay in water quality research could help regulatory agencies to identify sources of water pollution for improved remediation of contaminated waters and ultimately protect humans from exposure to pathogens.Maintaining healthy coastal water systems is essential, since poor water quality can have detrimental effects on mangroves, seagrass beds, coral reefs, the fishing and shellfish harvesting industries, and the health of recreational water users (1, 5, 15, 17, 20, 44). Since 1972 in the United States, each state has been required to set total maximum daily loads (TMDLs) for pollutants in water bodies according to section 303(d) of the Clean Water Act (50). The probability that microbial pathogens are present is estimated by enumerating indicator bacteria, which are shed in the feces of humans and most animals. The U.S. Environmental Protection Agency recommends using Escherichia coli and enterococci to assess the quality of freshwater and saline water, respectively (47); however, Florida currently uses fecal coliforms and enterococci as indicators of fecal pollution (42).When bacterial indicators exceed regulatory levels, a plan of action (TMDL implementation) must be developed to reduce pathogens. TMDL plans for “pathogen” reduction are particularly problematic because they rely upon surrogate indicator bacteria, which yield little or no insight as to the source of pollution. High indicator bacteria concentrations can be attributed to many sources, including agricultural runoff, storm water runoff, wildlife, pets, faulty septic systems (onsite wastewater treatment and disposal systems), and a failing central sewer infrastructure (5, 12, 28).To address the issue of source identification, methods have been developed in which the biochemistry or genetics of certain microorganisms are used to indirectly identify probable source(s) of fecal pollution, which is termed microbial source tracking (MST) (48). MST methods based on detection of a source-associated gene (marker) by PCR have proliferated over the past 10 years due to the additional information they can provide to watershed managers on fecal contamination sources (43). Although marker detection by endpoint (binary) PCR can give important insights on the source(s) of fecal contamination, quantitative measurements can provide information about the relative magnitude of contamination from various sources. Moreover, epidemiological studies on the correlation between recreational water use, microbial contamination, and the risk of illness will greatly benefit from the ability to quantify MST markers, rather than simply assessing binary (+/−) detection.Although many bacterial targets have been proposed for MST of human sewage (8, 39, 46a), fewer viral targets have been investigated (19, 24, 33). Polyomavirus is the sole genus in the family Polyomaviridae (22). These viruses have a 5-kbp double-stranded DNA genome surrounded by a 40- to 50-nm icosahedral capsid (38). The JCV and BKV human polyomaviruses (HPyVs) have similarly structured genomes that show ∼75% identity (21). BK virus (BKV) and JC virus (JCV) gained much attention in the late 1970s as the etiological agents of kidney nephritis (i.e., BKV reactivation in the kidneys) and progressive multifocal leukoencephalopathy (i.e., JCV reactivation in brain tissue) in the immunocompromised (16, 34). Serological studies have shown that >70% of adults harbor antibodies to BKV or JCV (27, 30, 44). These viruses are known for producing lifelong, asymptomatic viruria in immunocompetent individuals (37). In 2000 it was first suggested that JCV would be a useful indicator of human sewage in water (11). The obligate host specificity and abundance of BKV and JCV in municipal sewage has led to the successful use of these viruses to indicate human fecal pollution in environmental water samples (12, 29).Due to the health implications of BKV and JCV, several methods have been developed to rapidly detect either BKV or JCV in clinical samples (6, 31, 35, 56). However, from an MST standpoint, it is advantageous to target both BKV and JCV. BKV has been found in feces (54), and both viruses are excreted in the urine (6, 11, 37, 55, 60) either simultaneously or individually. The focus of this research was the modification of the previously developed nested PCR protocol for HPyVs detection (29) to a TaqMan quantitative PCR (QPCR) assay to simultaneously detect and quantify both BKV and JCV. Furthermore, we compared measurements obtained with the newly developed QPCR assay to those of other water quality indicators and MST markers. These indicators included bacterial indicator concentrations (49) and PCR detection of human-associated markers currently used for MST. These included human-associated Bacteroidetes (8), Methanobrevibacter smithii (46a), and adenovirus (36). To assess the potential of HPyVs to mimic the fate of pathogens in water, the persistence of all of the water quality indicators was assessed, and relationships between bacterial indicator organisms and MST markers in both human waste samples as well as contaminated environmental samples were examined.     

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.     

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.     

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.     

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.     

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.     

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).     

Presence of Pathogens and Indicator Microbes at a Non-Point Source Subtropical Recreational Marine Beach

Swimming in ocean water, including ocean water at beaches not impacted by known point sources of pollution, is an increasing health concern. This study was an initial evaluation of the presence of indicator microbes and pathogens and the association among the indicator microbes, pathogens, and environmental conditions at a subtropical, recreational marine beach in south Florida impacted by non-point sources of pollution. Twelve water and eight sand samples were collected during four sampling events at high or low tide under elevated or reduced solar insolation conditions. The analyses performed included analyses of fecal indicator bacteria (FIB) (fecal coliforms, Escherichia coli, enterococci, and Clostridium perfringens), human-associated microbial source tracking (MST) markers (human polyomaviruses [HPyVs] and Enterococcus faecium esp gene), and pathogens (Vibrio vulnificus, Staphylococcus aureus, enterovirus, norovirus, hepatitis A virus, Cryptosporidium spp., and Giardia spp.). The enterococcus concentrations in water and sand determined by quantitative PCR were greater than the concentrations determined by membrane filtration measurement. The FIB concentrations in water were below the recreational water quality standards for three of the four sampling events, when pathogens and MST markers were also generally undetectable. The FIB levels exceeded regulatory guidelines during one event, and this was accompanied by detection of HPyVs and pathogens, including detection of the autochthonous bacterium V. vulnificus in sand and water, detection of the allochthonous protozoans Giardia spp. in water, and detection of Cryptosporidium spp. in sand samples. The elevated microbial levels were detected at high tide and under low-solar-insolation conditions. Additional sampling should be conducted to further explore the relationships between tidal and solar insolation conditions and between indicator microbes and pathogens in subtropical recreational marine waters impacted by non-point source pollution.Global estimates indicate that each year more than 120 million cases of gastrointestinal disease and 50 million cases of severe respiratory diseases are caused by swimming and bathing in wastewater-polluted coastal waters (42). Swimming-related illness is attributed predominantly to exposure to microbial pathogens, which enter the water through point sources, such as sewage outfalls. Water quality at beaches may also be impacted by non-point sources, such as storm water runoff, sand resuspension, animal fecal inputs, and human bather shedding (8, 12, 22, 47, 59).The concentration of indicator microorganisms in a body of recreational water is used to estimate the health risk to bathers. These microbes serve as surrogates for microbial pathogens. Studies show that the U.S. Environmental Protection Agency (EPA)-recommended indicator microbe for marine beaches, enterococci, shows a significant correlation with illness in marine beaches impacted by point source pollution (38, 54). However, a similar correlation has not been identified at beaches impacted by non-point source pollution or subtropical marine beaches (17, 29, 38, 54).The failure to consistently demonstrate an association between enterococci and illness at non-point source beaches calls into question the ability of indicator microbes to predict the presence of pathogens. Studies conducted on the west coast of the United States have shown that indicators are often not correlated with measured pathogens at non-point source beaches (31, 32, 33, 37). Additional studies conducted in a subtropical environment, such as that of South Florida, where this study was conducted, have repeatedly shown the limited accuracy of indicator microbe standards for determining the presence of pathogens (27, 35). This lack of correlation is understandable since an indicator microbe, such as enterococci, may come from relatively low-risk sources of fecal pollution and therefore may not be related to human or other high-risk sources of fecal pollution and pathogens (9). It has also been shown in both subtropical and temperate climates that indicator bacteria can multiply in the environment, resulting in a false impression of increased microbial pollution and pathogen presence (4, 7, 19, 24, 41, 45, 57, 58). Environmental factors, such as tide, rain, and solar insolation, can also have significant and varying effects on the levels of indicator and pathogenic microbes (21, 24, 33).The lack of correlation between pathogens and indicator microbes at non-point source beaches can result in two problematic scenarios. If indicator microbes are absent and pathogens are present (false-negative scenario), regulatory monitoring may fail to identify the potential adverse health effects on bathers due to the pathogens. This problem is likely to occur since indicator bacteria are less resistant to environmental stresses and disinfection at wastewater treatment plants than certain pathogens (6, 15). However, if indicator microbes are present and pathogens are absent (false-positive scenario), there can be unnecessary economic losses due to recreational beach advisories and/or closures. A 4-month closure of Huntington Beach in 1999 due to microbial standard violations resulted in the loss of millions of dollars in tourism income to the business community and almost 2 million dollars in beach closure investigation fees (55; for a review, see reference 27).Given these two possible scenarios, the relationship between indicator microbes and pathogens under different environmental conditions at non-point source beaches representing different geographic and climatic settings should be assessed further. Investigation of this relationship would require a large sample size in order to establish possible significant associations between the various factors and targets. The objective of this study was to conduct a preliminary evaluation of the presence of indicator microbes and pathogens and the possible association between indicator microbes, pathogen measurements, and environmental conditions at a subtropical recreational marine beach in South Florida. Because of cost limitations when multiple targets, including pathogens, are screened, this study was not intended to establish a conclusive relationship between the various factors and targets but was intended to provide insight into both the presence of organisms and possible associations which should be investigated further. Such information would be useful for understanding the potential health risks to bathers from non-point sources of microbes and would also contribute to determining the appropriateness of using indicator microbes to monitor the water quality at non-point source beaches. Although previous studies have assessed the presence of either viral, protozoan, or bacterial pathogens along with indicator microbes in point or non-point source recreational beach waters (27, 33, 37, 47), to our knowledge, this is the first study to assess the presence of all three classes of pathogens (viral, protozoan, and bacterial) as well as indicator microbes at a non-point source recreational beach. This study is also the first study to sample for all these microbes in both water and sand at a non-point source recreational beach. Through analysis of the various microbes under different targeted environmental conditions, this study also included a preliminary evaluation of the sources of microbial contaminants and pathogens and the effectiveness of various analytical methods for microbe detection. The latter part of the study included a comparison of three different methods for enterococcus enumeration, as well as an innovative method for simultaneously concentrating protozoans and viruses from water samples.     

Estimation of Pig Fecal Contamination in a River Catchment by Real-Time PCR Using Two Pig-Specific Bacteroidales 16S rRNA Genetic Markers

The microbiological quality of coastal or river water can be affected by fecal contamination from human or animal sources. To discriminate pig fecal pollution from other pollution, a library-independent microbial source tracking method targeting Bacteroidales host-specific 16S rRNA gene markers by real-time PCR was designed. Two pig-specific Bacteroidales markers (Pig-1-Bac and Pig-2-Bac) were designed using 16S rRNA gene Bacteroidales clone libraries from pig feces and slurry. For these two pig markers, 98 to 100% sensitivity and 100% specificity were obtained when tested by TaqMan real-time PCR. A decrease in the concentrations of Pig-1-Bac and Pig-2-Bac markers was observed throughout the slurry treatment chain. The two newly designed pig-specific Bacteroidales markers, plus the human-specific (HF183) and ruminant-specific (BacR) Bacteroidales markers, were then applied to river water samples (n = 24) representing 14 different sites from the French Daoulas River catchment (Brittany, France). Pig-1-Bac and Pig-2-Bac were quantified in 25% and 62.5%, respectively, of samples collected around pig farms, with concentrations ranging from 3.6 to 4.1 log₁₀ copies per 100 ml of water. They were detected in water samples collected downstream from pig farms but never detected near cattle farms. HF183 was quantified in 90% of water samples collected downstream near Daoulas town, with concentrations ranging between 3.6 and 4.4 log₁₀ copies per 100 ml of water, and BacR in all water samples collected around cattle farms, with concentrations ranging between 4.6 and 6.0 log₁₀ copies per 100 ml of water. The results of this study highlight that pig fecal contamination was not as frequent as human or bovine fecal contamination and that fecal pollution generally came from multiple origins. The two pig-specific Bacteroidales markers can be applied to environmental water samples to detect pig fecal pollution.Human and animal fecal pollution of coastal environments affects shellfish and recreational water quality and safety, in addition to causing economic losses from the closure of shellfish harvesting areas and from bathing restrictions (13, 19, 33). Human feces are known to contain human-specific enteric pathogens (3, 18, 28), but animals can also be reservoirs for numerous enteric human pathogens, such as Escherichia coli O157:H17, Salmonella spp., Mycobacterium spp., or Listeria spp., that may persist in the soil or surface waters (6, 8, 22, 24). Among animals, pigs are known to carry human pathogens that are excreted with fecal wastes. There are approximately 125 million pigs in the European Union (EU) and 114 million in North America (12, 36, 48), generating an estimated 100 and 91 million tons of pig slurry per year, respectively (4). France, the third largest pig producer in the EU, with about 23,000 farms, generates 8 to 10 million tons of pig slurry per year. Brittany accounts for 56.1% of the total national pig production on only 6% (27,200 km²) of the French territory, though it has 40% (2,700 km) of the coastline. This production could contaminate the environment when tanks on farms overflow, when slurry or compost is spread onto soils, or to a lesser extent, when lagoon surface waters are used for irrigation (38, 47, 52).Fecal contamination in shellfish harvesting and bathing areas is currently evaluated by the detection and enumeration of culturable facultative-anaerobic bacteria, such as E. coli, enterococci, or fecal coliforms (11), in shellfish and bathing waters (European Directives 2006/113/CE and 2006/7/CE). Pigs are among the potential sources of E. coli inputs to the environment; a pig produces approximately 1 × 10⁷ E. coli bacteria per gram of feces, which corresponds to an E. coli flow rate per day that is 28 times higher than that for one human (16, 34, 55).E. coli is not a good indicator of fecal sources of pollution in water because of its presence in both human and animal feces; therefore, alternative fecal indicators must be used. Microbial source tracking methods (44) are being developed to discriminate between human and nonhuman sources of fecal contamination and to distinguish contamination from different animal species (17, 46, 54). Many of these methods are library dependent, requiring a large number of isolates to be cultured and tested, which is time consuming and labor intensive. For these reasons, library-independent methods are preferred for the detection of host-specific markers.The detection of host-specific Bacteroidales markers is a promising library-independent method and has been used for identifying contamination from human and bovine origins (25, 29, 39, 40, 45). In this study, we selected Bacteroidales 16S rRNA gene markers and real-time PCR to focus on fecal contamination from pigs. To date, only one pig-specific Bacteroidales 16S rRNA gene marker has been developed and used on water samples for the identification of pig fecal contamination by real-time PCR assay (SYBR green) (37). When this pig-specific Bacteroidales marker was tested on a small number of fecal samples (n = 16), it showed some cross-reaction with human and cow feces.The present study investigated pig fecal contamination in a French catchment, the Daoulas estuary (Brittany), which has commercial and recreational shellfish harvesting areas and which is potentially subject to fecal contamination. The aims of the present study were (i) to design new primers for the detection and quantification of pig-specific Bacteroidales 16S rRNA genes by TaqMan analysis; (ii) to validate the sensitivity and specificity of the new primers and TaqMan assay using target (feces, slurry, compost, and lagoon water samples) and nontarget (human and other animal sources) DNA, respectively; and (iii) to evaluate the TaqMan assay for proper detection and quantitative estimation of pig-associated fecal pollution. The study represents the first application of pig-specific Bacteroidales markers using a TaqMan assay in Europe and included a monitoring study of marker levels throughout the various stages of slurry treatment.     

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.     

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.     

Population Structure of the Lyme Borreliosis Spirochete Borrelia burgdorferi in the Western Black-Legged Tick (Ixodes pacificus) in Northern California

Factors potentially contributing to the lower incidence of Lyme borreliosis (LB) in the far-western than in the northeastern United States include tick host-seeking behavior resulting in fewer human tick encounters, lower densities of Borrelia burgdorferi-infected vector ticks in peridomestic environments, and genetic variation among B. burgdorferi spirochetes to which humans are exposed. We determined the population structure of B. burgdorferi in over 200 infected nymphs of the primary bridging vector to humans, Ixodes pacificus, collected in Mendocino County, CA. This was accomplished by sequence typing the spirochete lipoprotein ospC and the 16S-23S rRNA intergenic spacer (IGS). Thirteen ospC alleles belonging to 12 genotypes were found in California, and the two most abundant, ospC genotypes H3 and E3, have not been detected in ticks in the Northeast. The most prevalent ospC and IGS biallelic profile in the population, found in about 22% of ticks, was a new B. burgdorferi strain defined by ospC genotype H3. Eight of the most common ospC genotypes in the northeastern United States, including genotypes I and K that are associated with disseminated human infections, were absent in Mendocino County nymphs. ospC H3 was associated with hardwood-dominated habitats where western gray squirrels, the reservoir host, are commonly infected with LB spirochetes. The differences in B. burgdorferi population structure in California ticks compared to the Northeast emphasize the need for a greater understanding of the genetic diversity of spirochetes infecting California LB patients.In the United States, Lyme borreliosis (LB) is the most commonly reported vector-borne illness and is caused by infection with the spirochete Borrelia burgdorferi (3, 9, 52). The signs and symptoms of LB can include a rash, erythema migrans, fever, fatigue, arthritis, carditis, and neurological manifestations (50, 51). The black-legged tick, Ixodes scapularis, and the western black-legged tick, Ixodes pacificus, are the primary vectors of B. burgdorferi to humans in the United States, with the former in the northeastern and north-central parts of the country and the latter in the Far West (9, 10). These ticks perpetuate enzootic transmission cycles together with a vertebrate reservoir host such as the white-footed mouse, Peromyscus leucopus, in the Northeast and Midwest (24, 35), or the western gray squirrel, Sciurus griseus, in California (31, 46).B. burgdorferi is a spirochete species with a largely clonal population structure (14, 16) comprising several different strains or lineages (8). The polymorphic ospC gene of B. burgdorferi encodes a surface lipoprotein that increases expression within the tick during blood feeding (47) and is required for initial infection of mammalian hosts (25, 55). To date, approximately 20 North American ospC genotypes have been described (40, 45, 49, 56). At least four, and possibly up to nine, of these genotypes are associated with B. burgdorferi invasiveness in humans (1, 15, 17, 49, 57). Restriction fragment length polymorphism (RFLP) and, subsequently, sequence analysis of the 16S-23S rRNA intergenic spacer (IGS) are used as molecular typing tools to investigate genotypic variation in B. burgdorferi (2, 36, 38, 44, 44, 57). The locus maintains a high level of variation between related species, and this variation reflects the heterogeneity found at the genomic level of the organism (37). The IGS and ospC loci appear to be linked (2, 8, 26, 45, 57), but the studies to date have not been representative of the full range of diversity of B. burgdorferi in North America.Previous studies in the northeastern and midwestern United States have utilized IGS and ospC genotyping to elucidate B. burgdorferi evolution, host strain specificity, vector-reservoir associations, and disease risk to humans. In California, only six ospC and five IGS genotypes have been described heretofore in samples from LB patients or I. pacificus ticks (40, 49, 56) compared to approximately 20 ospC and IGS genotypes identified in ticks, vertebrate hosts, or humans from the Northeast and Midwest (8, 40, 45, 49, 56). Here, we employ sequence analysis of both the ospC gene and IGS region to describe the population structure of B. burgdorferi in more than 200 infected I. pacificus nymphs from Mendocino County, CA, where the incidence of LB is among the highest in the state (11). Further, we compare the Mendocino County spirochete population to populations found in the Northeast.