Bifidobacterial diversity and the development of new microbial source tracking indicators

Many studies suggest a close relationship between species of Bifidobacterium and their hosts. Thus, species such as B. adolescentis and B. thermacidophilum subsp. porcinum have been proposed as potential indicators of human and porcine fecal pollution. The diversity of bifidobacteria in wastewaters (human and animal) and slurries is analyzed using nested PCR followed by denaturant gradient gel electrophoresis (DGGE). The sewage samples showed similar DGGE patterns. The predominant bands were recognized as B. adolescentis, B. longum, and two unidentified species related to B. adolescentis. A single band detected in poultry samples was identified as B. saeculare. Bifidobacterial diversity was higher within porcine and bovine samples. The main bands in porcine samples were identified as B. minimum, an unknown species, and B. thermophilum/B. thermacidophilum subsp. porcinum. The latter species was also identified among the main bands in bovine samples together with B. pseudolongum and B. ruminantium. We then attempted to isolate the host-specific strains. DGGE bands were examined to develop specific probes to screen environmental samples by colony hybridization and further isolation of strains from positively hybridized colonies. Bifidobacterial strains that are host associated by DGGE bands to human and pig were successfully isolated from the environment: B. adolescentis from human sewage samples and the unidentified species related to pig from slurries and slaughterhouse wastewater. Neither the poultry-associated B. saeculare nor the ruminant-associated B. pseudolongum could be isolated with the current methodology, suggesting either a low prevalence in the samples or failure of the culture to grow in the media used.     

Correlation of quantitative PCR for a poultry-specific brevibacterium marker gene with bacterial and chemical indicators of water pollution in a watershed impacted by land application of poultry litter

The impact of fecal contamination from human and agricultural animal waste on water quality is a major public health concern. Identification of the dominant source(s) of fecal pollution in a watershed is necessary for assessing the safety of recreational water and protecting water resources. A field study was conducted using quantitative PCR (qPCR) for the 16S rRNA gene of Brevibacterium sp. LA35 to track feces-contaminated poultry litter in environmental samples. Based on sensitivity and specificity characteristics of the qPCR method, the Bayesian conditional probability that detection of the LA35 marker gene in a water sample represented a true-positive result was 93%. The marker's covariance with fecal indicator bacteria (FIB) and metals associated with poultry litter was also assessed in litter, runoff, surface water, and groundwater samples. LA35 was detected in water and soil samples collected throughout the watershed, and its concentration covaried with concentrations of Escherichia coli, enterococci, As, Cu, P, and Zn. Significantly greater concentrations of FIB, As, Cu, P, and Zn were observed in edge-of-field runoff samples in which LA35 was detected, compared to samples in which it was not detected. Furthermore, As, Cu, P, and Zn concentrations covaried in environmental samples in which LA35 was detected and typically did not in samples in which the marker gene was not detected. The covariance of the poultry-specific LA35 marker gene with these known contaminants from poultry feces provides further evidence that it is a useful tool for assessing the impact of poultry-derived fecal pollution in environmental waters.     

Microbial Source Tracking for Identification of Fecal Pollution

Fecal pollution is a serious environmental problem that affects many coastal and inland waters worldwide. Both human and animal fecal pollution impose risks to human health from exposure to pathogenic bacteria, viruses, and protozoa. To assist authorities with the implementation of the changes suggested by more restricted legislation concering water quality in Europe, methods are needed which can identify the sources of fecal pollution. Management of fecal contamination of water would be improved if the origin of the fecal pollution could be correctly identified since remediation efforts could then be allocated in a more effective manner. The concept that the origin of fecal pollution can be traced has been termed microbial source tracking. In microbial source tracking (MST) endogenous markers of fecal sources are used for identification of the fecal pollution in aquatic environments. Chemical MST-methods can be used to trace mainly sewage pollution, but the used chemical targets have no direct relationship with pathogenic bacteria. This is not the case in microbial MST-methods where source-specific bacteria or viruses are cultured to identify fecal pollution sources. However, sometimes these microbial targets can be present in too low numbers to be detected. This is circumvented by using molecular assays for host-specific marker detection. Phenotypic and genotypic library-based methods can be used to discriminate among different fecal sources. However, the isolation step makes this procedure very labour-intensive, and issues as temporal and geographical variability remain unresolved. The underlying assumptions will be discussed and the methods mostly used in microbial source tracking will be described in more detail.     

Development and evaluation of a quantitative PCR assay targeting sandhill crane (Grus canadensis) fecal pollution

While the microbial water quality in the Platte River is seasonally impacted by excreta from migrating cranes, there are no methods available to study crane fecal contamination. Here we characterized microbial populations in crane feces using phylogenetic analysis of 16S rRNA gene fecal clone libraries. Using these sequences, a novel crane quantitative PCR (Crane1) assay was developed, and its applicability as a microbial source tracking (MST) assay was evaluated by determining its host specificity and detection ability in environmental waters. Bacteria from crane excreta were dominated by bacilli and proteobacteria, with a notable paucity of sequences homologous to Bacteroidetes and Clostridia. The Crane1 marker targeted a dominant clade of unclassified Lactobacillales sequences closely related to Catellicoccus marimammalium. The host distribution of the Crane1 marker was relatively high, being positive for 69% (66/96) of the crane excreta samples tested. The assay also showed high host specificity, with 95% of the nontarget fecal samples (i.e., n = 553; 20 different free-range hosts) being negative. Of the presumed crane-impacted water samples (n = 16), 88% were positive for the Crane1 assay, whereas none of the water samples not impacted by cranes were positive (n = 165). Bayesian statistical models of the Crane1 MST marker demonstrated high confidence in detecting true-positive signals and a low probability of false-negative signals from environmental water samples. Altogether, these data suggest that the newly developed marker could be used in environmental monitoring studies to study crane fecal pollution dynamics.     

Isolation of bacteriophage host strains of Bacteroides species suitable for tracking sources of animal faecal pollution in water

Microbial source tracking (MST) methods allow the identification of specific faecal sources. The aim is to detect the sources of faecal pollution in a water body to allow targeted, efficient and cost‐effective remediation efforts in the catchment. Bacteriophages infecting selected host strains of Bacteroides species are used as markers to track faecal contaminants in water. By using a suitable Bacteroides host from a given faecal origin, it is possible to specifically detect bacteriophages of this faecal origin. It can thus be used to detect specific phages of Bacteroides for MST. With this objective, we isolated several Bacteroides strains from pig, cow and poultry faeces by applying a previously optimized methodology used to isolate the host strains from humans. The isolated strains belonged to Bacteroides fragilis and Bacteroides thetaiotaomicron. These strains, like most Bacteroides species, detected phages of the Siphoviridae morphology. Using the newly isolated host strains for phage enumeration in a range of samples, we showed that these detect phages in faecal sources that coincide with their own origin (70–100% of the samples), and show no detection or very low percentages of detection of phages from other animal origins (from 0 to 20% of the samples). Only strains isolated from pig wastewater detected phages in 50% of human sewage samples. Nevertheless, those strains detecting phages from faecal origins other than their own detected fewer phages (2–3 log₁₀ pfu·100 ml^?1) than the phages detected by the specific strain of the same origin. On the basis of our results, we propose that faecal source tracking with phages infecting specific Bacteroides host strains is a useful method for MST. In addition, the method presented here is feasible in laboratories equipped with only basic microbiological equipment, it is more rapid and cost‐effective than other procedures and it does not require highly qualified staff.     

Evidence for Extraintestinal Growth of Bacteroidales Originating from Poultry Litter

Water quality monitoring techniques that target microorganisms in the order Bacteroidales are potential alternatives to conventional methods for detection of fecal indicator bacteria. Bacteroidales and members of the genus Bacteroides have been the focus of microbial source tracking (MST) investigations for discriminating sources of fecal pollution (e.g., human or cattle feces) in environmental waters. For accurate source apportionment to occur, one needs to understand both the abundance of Bacteroides in host feces and the survival of these host-associated microbial markers after deposition in the environment. Studies were undertaken to evaluate the abundance, persistence, and potential for growth of Bacteroidales originating from poultry litter under oxic and anoxic environmental conditions. Bacteroidales abundance, as determined by quantitative PCR (qPCR) with GenBac primers and probe, increased 2 to 5 log gene copies ml⁻¹ and 2 log gene copies g litter⁻¹ under most conditions during incubation of poultry litter in a variety of laboratory microcosm and field mesocosm studies. DNA sequencing of the Bacteroidales organisms in the litter identified taxa with sequences corresponding exactly to the GenBac primer and probe sequences and that were closely related to Bacteroides uniformis, B. ovatus, and B. vulgatus. These results suggest that MST studies using qPCR methods targeting Bacteroidales in watersheds that are affected by poultry litter should be interpreted cautiously. Growth of Bacteroidales originating from poultry litter in environmental waters may occur while Bacteroidales growth from other fecal sources declines, thus confounding the interpretation of MST results.     

Persistence and differential survival of fecal indicator bacteria in subtropical waters and sediments

Fecal coliforms and enterococci are indicator organisms used worldwide to monitor water quality. These bacteria are used in microbial source tracking (MST) studies, which attempt to assess the contribution of various host species to fecal pollution in water. Ideally, all strains of a given indicator organism (IO) would experience equal persistence (maintenance of culturable populations) in water; however, some strains may have comparatively extended persistence outside the host, while others may persist very poorly in environmental waters. Assessment of the relative contribution of host species to fecal pollution would be confounded by differential persistence of strains. Here, freshwater and saltwater mesocosms, including sediments, were inoculated with dog feces, sewage, or contaminated soil and were incubated under conditions that included natural stressors such as microbial predators, radiation, and temperature fluctuations. Persistence of IOs was measured by decay rates (change in culturable counts over time). Decay rates were influenced by IO, inoculum, water type, sediment versus water column location, and Escherichia coli strain. Fecal coliform decay rates were significantly lower than those of enterococci in freshwater but were not significantly different in saltwater. IO persistence according to mesocosm treatment followed the trend: contaminated soil > wastewater > dog feces. E. coli ribotyping demonstrated that certain strains were more persistent than others in freshwater mesocosms, and the distribution of ribotypes sampled from mesocosm waters was dissimilar from the distribution in fecal material. These results have implications for the accuracy of MST methods, modeling of microbial populations in water, and efficacy of regulatory standards for protection of water quality.     

Tracking the Primary Sources of Fecal Pollution in a Tropical Watershed in a One-Year Study

A study was conducted to determine the primary sources of fecal pollution in a subtropical watershed using host-specific assays developed in temperate regions. Water samples (n = 534) from 10 different sites along the Rio Grande de Arecibo (RGA) watershed were collected mostly on a weekly basis (54 sampling events) during 13 months. DNA extracts from water samples were used in PCR assays to determine the occurrence of fecal bacteria (Bacteroidales, Clostridium coccoides, and enterococci) and human-, cattle-, swine-, and chicken-specific fecal sources. Feces from 12 different animals (n = 340) and wastewater treatment samples (n = 16) were analyzed to determine the specificity and distribution of host-specific assays. The human-specific assay (HF183) was found to be highly specific, as it did not cross-react with nontarget samples. The cattle marker (CF128) cross-reacted to some extent with swine, chicken, and turkeys and was present in 64% of the cattle samples tested. The swine assays showed poor host specificity, while the three chicken assays showed poor host distribution. Differences in the detection of host-specific markers were noted per site. While human and cattle assays showed moderate average detection rates throughout the watershed, areas impacted by wastewater treatment plants and cattle exhibited the highest prevalence of these markers. When conditional probability for positive signals was determined for each of the markers, the results indicated higher confidence levels for the human assay and lower levels for all the other assays. Overall, the results from this study suggest that additional assays are needed, particularly to track cattle, chicken, and swine fecal pollution sources in the RGA watershed. The results also suggest that the geographic stability of genetic markers needs to be determined prior to conducting applied source tracking studies in tropical settings.     

Evaluation of two library-independent microbial source tracking methods to identify sources of fecal contamination in French estuaries

In order to identify the origin of the fecal contamination observed in French estuaries, two library-independent microbial source tracking (MST) methods were selected: (i) Bacteroidales host-specific 16S rRNA gene markers and (ii) F-specific RNA bacteriophage genotyping. The specificity of the Bacteroidales markers was evaluated on human and animal (bovine, pig, sheep, and bird) feces. Two human-specific markers (HF183 and HF134), one ruminant-specific marker (CF193'), and one pig-specific marker (PF163) showed a high level of specificity (>90%). However, the data suggest that the proposed ruminant-specific CF128 marker would be better described as an animal marker, as it was observed in all bovine and sheep feces and 96% of pig feces. F RNA bacteriophages were detected in only 21% of individual fecal samples tested, in 60% of pig slurries, but in all sewage samples. Most detected F RNA bacteriophages were from genotypes II and III in sewage samples and from genotypes I and IV in bovine, pig, and bird feces and from pig slurries. Both MST methods were applied to 28 water samples collected from three watersheds at different times. Classification of water samples as subject to human, animal, or mixed fecal contamination was more frequent when using Bacteroidales markers (82.1% of water samples) than by bacteriophage genotyping (50%). The ability to classify a water sample increased with increasing Escherichia coli or enterococcus concentration. For the samples that could be classified by bacteriophage genotyping, 78% agreed with the classification obtained from Bacteroidales markers.     

Use of Bifidobacterium dentium as an indicator of the origin of fecal water pollution

A new, simple, and specific protocol to discriminate between human and animal fecal pollution is described. The procedure is based on the detection of certain Bifidobacterium species in the samples. Two 16S rRNA gene-targeted probes are described. One of these probes (BDE) has as its target a region of the 16S rRNA gene of Bifidobacterium dentium, a Bifidobacterium species of exclusively human origin. The other probe (BAN) is based on the sequence of a region of 16S rRNA gene for several Bifidobacterium species related with animal origins. The specificity of both probes was evaluated by using 24 Bifidobacterium species, and their threshold detection limit was established by DNA-DNA hybridization. DNA-DNA hybridization with the BDE probe showed it to be specific for B. dentium, whereas that with the BAN probe showed it to be specific for B. animalis, B. asteroides, B. coryneforme, B. cuniculi, B. globosum, B. magnum, B. minimum, and B. subtile. A simple and specific protocol was also developed for the detection of their target species in environmental samples (sewage and feces). DNA-DNA hybridization with the BAN probe was only positive for samples from cattle and goats. Thus, this probe is not suitable for the identification of any animal fecal pollution. Whereas all samples with human fecal pollution showed a positive DNA-DNA hybridization result with the BDE probe, none of those with animal fecal pollution did. Therefore, this finding supports the potential use of this probe in detecting fecal pollution of human origin.     

Identification of nonpoint sources of fecal pollution in coastal waters by using host-specific 16S ribosomal DNA genetic markers from fecal anaerobes

We describe a new PCR-based method for distinguishing human and cow fecal contamination in coastal waters without culturing indicator organisms, and we show that the method can be used to track bacterial marker sequences in complex environments. We identified two human-specific genetic markers and five cow-specific genetic markers in fecal samples by amplifying 16S ribosomal DNA (rDNA) fragments from members of the genus Bifidobacterium and the Bacteroides-Prevotella group and performing length heterogeneity PCR and terminal restriction fragment length polymorphism analyses. Host-specific patterns suggested that there are species composition differences in the Bifidobacterium and Bacteroides-Prevotella populations of human and cow feces. The patterns were highly reproducible among different hosts belonging to the same species. Additionally, all host-specific genetic markers were detected in water samples collected from areas frequently contaminated with fecal pollution. Ease of detection and longer survival in water made Bacteroides-Prevotella indicators better than Bifidobacterium indicators. Fecal 16S rDNA sequences corresponding to our Bacteroides-Prevotella markers comprised closely related gene clusters, none of which exactly matched previously published Bacteroides or Prevotella sequences. Our method detected host-specific markers in water at pollutant concentrations of 2.8 x 10(-5) to 2.8 x 10(-7) g (dry weight) of feces/liter and 6.8 x 10(-7) g (dry weight) of sewage/liter. Although our aim was to identify nonpoint sources of fecal contamination, the method described here should be widely applicable for monitoring spatial and temporal fluctuations in specific bacterial groups in natural environments.     

Persistence and Differential Survival of Fecal Indicator Bacteria in Subtropical Waters and Sediments

Fecal coliforms and enterococci are indicator organisms used worldwide to monitor water quality. These bacteria are used in microbial source tracking (MST) studies, which attempt to assess the contribution of various host species to fecal pollution in water. Ideally, all strains of a given indicator organism (IO) would experience equal persistence (maintenance of culturable populations) in water; however, some strains may have comparatively extended persistence outside the host, while others may persist very poorly in environmental waters. Assessment of the relative contribution of host species to fecal pollution would be confounded by differential persistence of strains. Here, freshwater and saltwater mesocosms, including sediments, were inoculated with dog feces, sewage, or contaminated soil and were incubated under conditions that included natural stressors such as microbial predators, radiation, and temperature fluctuations. Persistence of IOs was measured by decay rates (change in culturable counts over time). Decay rates were influenced by IO, inoculum, water type, sediment versus water column location, and Escherichia coli strain. Fecal coliform decay rates were significantly lower than those of enterococci in freshwater but were not significantly different in saltwater. IO persistence according to mesocosm treatment followed the trend: contaminated soil > wastewater > dog feces. E. coli ribotyping demonstrated that certain strains were more persistent than others in freshwater mesocosms, and the distribution of ribotypes sampled from mesocosm waters was dissimilar from the distribution in fecal material. These results have implications for the accuracy of MST methods, modeling of microbial populations in water, and efficacy of regulatory standards for protection of water quality.     

分子标记物在禽类粪便污染溯源中的研究及应用进展

排入环境后的禽类粪便不仅会造成水体和土壤环境污染,且其携带的致病菌对人类健康也存在潜在危害,因此快速准确地识别并控制粪便污染源对环境保护和人类健康至关重要。微生物溯源（Microbial source tracking,MST）技术可以利用分子标记物识别人和不同动物的粪便污染,从而有助于及时发现并控制粪便污染。鉴于禽类粪便对环境和人类健康的危害,越来越多的禽类MST标记物被开发并用于禽类的粪便污染溯源研究。归纳总结了多种禽类（如鸡、鸭、鸽子、海鸥、加拿大雁和沙丘鹤等） MST分子标记物及其敏感性和特异性,重点综述了禽类分子标记物的基因来源,包括细菌16S rRNA基因、线粒体DNA和功能基因等。其中,细菌16S rRNA基因在标记物设计中的应用最为广泛,源指示菌主要包括厚壁菌门（Firmicutes）、拟杆菌目（Bacteroidales）、放线菌门（Actinobacteria）、变形菌门（Proteobacteria）和梭杆菌门（Fusobacteria）及其家族成员;以cytb基因、ND5基因、16S rRNA基因和ND2基因等线粒体DNA （Mitochondrial DNA,mtDNA）为设计来源的禽类MST标记物在溯源研究中指示效果最好,具有很大的应用潜能;使用功能基因作为设计来源的禽类MST标记物种类较少,且均表现出较低的敏感性,但是将功能基因作为MST标记物的思路具有一定的参考价值。通过对多种禽类标记物指示效果的比较,能为科研人员快速选择禽类标记物时提供一定的参考。此外,还对禽类MST技术的现存问题进行了分析总结,并对其在我国的发展进行了展望,以期促进MST技术在我国环境质量监测领域中的发展和应用。     

Terminal restriction fragment length polymorphism analysis for human fecal microbiota and its application for analysis of complex bifidobacterial communities

Terminal restriction fragment length polymorphism (T-RFLP) analysis was used to characterize and compare human fecal microbiota among individuals. T-RFLP patterns of fecal 16S ribosomal DNA (rDNA) PCR products from three adults revealed host-specific bacterial communities and were in good agreement with those reported in our previous study. In addition, we applied T-RFLP analysis for the analysis of complex bifidobacterial communities in human fecal samples. The developed method based on Bifidobacterium genus-specific PCR and T-RFLP could identify more than one bifidobacterial species. T-RFLP patterns of Bifidobacterium genus-specific PCR products from the fecal samples were host-specific as well as those of fecal 16S rDNA PCR products. These results were confirmed by PCR-denaturing gradient gel electrophoresis (DGGE) with primers specific for the genus Bifidobacterium and Bifidobacterium species- and group-specific PCR. Our study demonstrates that T-RFLP analysis is useful for assessment of the diversity of the human fecal microbiota and rapid comparison of the community structure among individuals, and that the applied method is useful for rapid and sensitive analysis of bifidobacterial community.     

应用肠道微生物示踪地表水粪便污染的研究进展

人和动物的粪便已成为水污染的重要污染源, 严重威胁着饮水安全和经济发展。水质污染微生物的传统检测指示菌是总大肠菌群、粪大肠菌群、埃希大肠菌、肠球菌和梭菌属。经过调查发现, 上述指示菌由于在体外能存活并繁殖, 并且不同宿主之间没有差异性, 不能准确用于追踪污染粪便的来源, 因此该指标难以直接说明粪便污染源和污染程度。最近的研究表明, Faecalibaterium作为水体粪便污染来源追踪的指示微生物具有很多优点。本文综述了粪便污染指示菌以及其相关替代方法在水质检测中的研究进展, 对各种指示菌进行了优、缺点比较, 展望了Faecalibaterium的应用前景。     

Genetic characterization of Escherichia coli populations from host sources of fecal pollution by using DNA fingerprinting

Escherichia coli isolates were obtained from common host sources of fecal pollution and characterized by using repetitive extragenic palindromic (REP) PCR fingerprinting. The genetic relationship of strains within each host group was assessed as was the relationship of strains among different host groups. Multiple isolates from a single host animal (gull, human, or dog) were found to be identical; however, in some of the animals, additional strains occurred at a lower frequency. REP PCR fingerprint patterns of isolates from sewage (n = 180), gulls (n = 133), and dairy cattle (n = 121) were diverse; within a host group, pairwise comparison similarity indices ranged from 98% to as low as 15%. A composite dendrogram of E. coli fingerprint patterns did not cluster the isolates into distinct host groups but rather produced numerous subclusters (approximately >80% similarity scores calculated with the cosine coefficient) that were nearly exclusive for a host group. Approximately 65% of the isolates analyzed were arranged into host-specific groups. Comparable results were obtained by using enterobacterial repetitive intergenic consensus PCR and pulsed-field gel electrophoresis (PFGE), where PFGE gave a higher differentiation of closely related strains than both PCR techniques. These results demonstrate that environmental studies with genetic comparisons to detect sources of E. coli contamination will require extensive isolation of strains to encompass E. coli strain diversity found in host sources of contamination. These findings will assist in the development of approaches to determine sources of fecal pollution, an effort important for protecting water resources and public health.     

利用拟杆菌分子标记物对粪便污染溯源的研究进展

拟杆菌(Bacteroidales)是粪便污染的主要标志之一,近年来被广泛应用在水体微生物溯源领域,并展现了良好的应用前景.拟杆菌微生物溯源的优势在于不需要纯培养过程,直接根据拟杆菌具有的宿主特异性生物标记引物设计,通过检测水体中拟杆菌生物标记的存在情况来判断粪便污染来源.本文从人、猪、反刍动物等拟杆菌特异性生物标记的发现、引物设计以及其应用综述了拟杆菌在微生物溯源中的研究进展,指出了应用过程中的局限性.本文还对拟杆菌在溯源中的应用进行了展望.提出了寻找新的宿主特异性拟杆菌生物标记是研究的主要方向,在应用研究中应注重与其他溯源方法相结合以使溯源结果更加准确.     

Performance of Two Quantitative PCR Methods for Microbial Source Tracking of Human Sewage and Implications for Microbial Risk Assessment in Recreational Waters

Before new, rapid quantitative PCR (qPCR) methods for assessment of recreational water quality and microbial source tracking (MST) can be useful in a regulatory context, an understanding of the ability of the method to detect a DNA target (marker) when the contaminant source has been diluted in environmental waters is needed. This study determined the limits of detection and quantification of the human-associated Bacteroides sp. (HF183) and human polyomavirus (HPyV) qPCR methods for sewage diluted in buffer and in five ambient, Florida water types (estuarine, marine, tannic, lake, and river). HF183 was quantifiable in sewage diluted up to 10⁻⁶ in 500-ml ambient-water samples, but HPyVs were not quantifiable in dilutions of >10⁻⁴. Specificity, which was assessed using fecal composites from dogs, birds, and cattle, was 100% for HPyVs and 81% for HF183. Quantitative microbial risk assessment (QMRA) estimated the possible norovirus levels in sewage and the human health risk at various sewage dilutions. When juxtaposed with the MST marker detection limits, the QMRA analysis revealed that HF183 was detectable when the modeled risk of gastrointestinal (GI) illness was at or below the benchmark of 10 illnesses per 1,000 exposures, but the HPyV method was generally not sensitive enough to detect potential health risks at the 0.01 threshold for frequency of illness. The tradeoff between sensitivity and specificity in the MST methods indicates that HF183 data should be interpreted judiciously, preferably in conjunction with a more host-specific marker, and that better methods of concentrating HPyVs from environmental waters are needed if this method is to be useful in a watershed management or monitoring context.     

Ultrafiltration and Microarray for Detection of Microbial Source Tracking Marker and Pathogen Genes in Riverine and Marine Systems

Pathogen identification and microbial source tracking (MST) to identify sources of fecal pollution improve evaluation of water quality. They contribute to improved assessment of human health risks and remediation of pollution sources. An MST microarray was used to simultaneously detect genes for multiple pathogens and indicators of fecal pollution in freshwater, marine water, sewage-contaminated freshwater and marine water, and treated wastewater. Dead-end ultrafiltration (DEUF) was used to concentrate organisms from water samples, yielding a recovery efficiency of >95% for Escherichia coli and human polyomavirus. Whole-genome amplification (WGA) increased gene copies from ultrafiltered samples and increased the sensitivity of the microarray. Viruses (adenovirus, bocavirus, hepatitis A virus, and human polyomaviruses) were detected in sewage-contaminated samples. Pathogens such as Legionella pneumophila, Shigella flexneri, and Campylobacter fetus were detected along with genes conferring resistance to aminoglycosides, beta-lactams, and tetracycline. Nonmetric dimensional analysis of MST marker genes grouped sewage-spiked freshwater and marine samples with sewage and apart from other fecal sources. The sensitivity (percent true positives) of the microarray probes for gene targets anticipated in sewage was 51 to 57% and was lower than the specificity (percent true negatives; 79 to 81%). A linear relationship between gene copies determined by quantitative PCR and microarray fluorescence was found, indicating the semiquantitative nature of the MST microarray. These results indicate that ultrafiltration coupled with WGA provides sufficient nucleic acids for detection of viruses, bacteria, protozoa, and antibiotic resistance genes by the microarray in applications ranging from beach monitoring to risk assessment.