Species detection using environmental DNA from water samples

The assessment of species distribution is a first critical phase of biodiversity studies and is necessary to many disciplines such as biogeography, conservation biology and ecology. However, several species are difficult to detect, especially during particular time periods or developmental stages, potentially biasing study outcomes. Here we present a novel approach, based on the limited persistence of DNA in the environment, to detect the presence of a species in fresh water. We used specific primers that amplify short mitochondrial DNA sequences to track the presence of a frog (Rana catesbeiana) in controlled environments and natural wetlands. A multi-sampling approach allowed for species detection in all environments where it was present, even at low densities. The reliability of the results was demonstrated by the identification of amplified DNA fragments, using traditional sequencing and parallel pyrosequencing techniques. As the environment can retain the molecular imprint of inhabiting species, our approach allows the reliable detection of secretive organisms in wetlands without direct observation. Combined with massive sequencing and the development of DNA barcodes that enable species identification, this approach opens new perspectives for the assessment of current biodiversity from environmental samples.     

Hybridization of genomic DNA to microarrays: a challenge for the analysis of environmental samples

The use of DNA microarrays for detection and identification of bacteria and genes of interest from various environments (e.g. soil, sediment, water column...) is a major challenge for microbiologists working on functional diversity. So far, most of the genomic methods that have been described rely on the use of taxonomic markers (such as 16S rRNA) that can be easily amplified by PCR prior to hybridization on microarrays. However, taxonomical markers are not always informative on the functions present in these bacteria. Moreover, genes for which sequence database is limited or that lack any conserved regions will be difficult to amplify and thus to detect in unknown samples. Furthermore, PCR amplification often introduces biases that lead to inaccurate analysis of microbial communities. An alternative solution to overcome these strong limitations is to use genomic DNA (gDNA) as target for hybridisation, without prior PCR amplification. Though hybridization of gDNA is already used for comparative genome hybridization or sequencing by hybridization, yet to the high cost of tiling strategies and important data filtering, its adaptation for use in environmental research poses great challenges in terms of specificity, sensitivity and reproducibility of hybridization. Considering the very faint number of publications that have described hybridization of gDNA to microarrays for environmental applications, we confront in this review the different approaches that have been developed so far, and propose alternative strategies that may contribute to improve the development of microarrays for studying the microbial genetic structure and composition of samples of high environmental and ecological value.     

An effective method to extract DNA from environmental samples for polymerase chain reaction amplification and DNA fingerprint analysis

A rapid direct-extraction method was used to obtain DNA from environmental soil samples. Heat, enzymes, and guanidine isothiocyanate were utilized to lyse cells. The DNA was purified by agarose gel electrophoresis, amplified with 16S rRNA-based primers by use of the polymerase chain reaction, and then digested with the restriction endonucleasePalI. The extraction method was used to obtain DNA from a variety of plants, bacteria, and fungi includingGossypium hirsucum (cotton),Pseudomonas, Bacillus, Streptomyces, andColletotrichum. Up to 100 g DNA/g (wet weight) of soil and 400 g DNA/g of plant material were recovered. Restriction endonuclease analysis patterns of amplified rDNA from pure microbial cultures and plant species contained three to five different DNA fragments. Amplified rDNA of mixed population DNA extracts from soil samples, digested with the restriction endonucleasePalI, contained 12–20 DNA fragments, appearing as sample fingerprints. Results from eight environmental soil samples that were analyzed suggest that the amplified rDNA fingerprints can be used to help characterize the genetic and biological diversity of the microbial populations in these samples.     

Effects of water pH and proteinase K treatment on the yield of environmental DNA from water samples

Environmental DNA (eDNA) analysis has recently been applied to the study of aquatic macroorganisms. In most studies, sample water was filtered and the extracted DNA from the residues on the filter used for the following molecular analysis to detect species of interest. This quick, new biomonitoring method has received broad attention, but some unknowns remain, such as the eDNA yield in relation to water quality. Previous studies suggest that eDNA is composed of various forms, such as the free-floating naked form and in organelles and cells. Therefore, the eDNA yield in the filtration and extraction steps might change depending on the composition of eDNA. Especially the filtration efficiency of free-floating DNA would be affected by the electrical effect of water pH. In this study, not only the free-floating naked DNA, but also all DNA fragments released from the organisms and contained in the water were defined as eDNA, including cells and organelles. We examined (1) the effect of water pH on the eDNA yield at filtration and (2) the effect of proteinase K treatment on the extraction efficiency of DNA from filter samples, with consideration of the variety of the eDNA forms in water. In a laboratory experiment using the purified DNA of common carp (Cyprinus carpio carpio) spiked into ultrapure water, the water pH and DNA yield showed a negative relationship within the pH range of 5–9, that is, the DNA yield was higher in acidic conditions, plausibly because of pH-dependent adsorption onto the glass fiber filter at the filtration step. In case the field water contained eDNA derived from the inhabiting common carp and the purified DNA of ayu (Plecoglossus altivelis altivelis) spiked in the sample as an internal standard, adjustment of the pH to 5 prior to filtration did not increase the eDNA yield of common carp, and the spiked ayu DNA was not detected at all. During the DNA extraction step, a standard protocol including proteinase K treatment marked higher DNA yield than that without proteinase K treatment. Overall, the present results indicate successful collection of eDNA using filters without any special attention to the pH of the sample water, and a conventional protocol with proteinase K treatment is appropriate for eDNA recovery.     

Metagenomics: DNA sequencing of environmental samples

Although genomics has classically focused on pure, easy-to-obtain samples, such as microbes that grow readily in culture or large animals and plants, these organisms represent only a fraction of the living or once-living organisms of interest. Many species are difficult to study in isolation because they fail to grow in laboratory culture, depend on other organisms for critical processes, or have become extinct. Methods that are based on DNA sequencing circumvent these obstacles, as DNA can be isolated directly from living or dead cells in various contexts. Such methods have led to the emergence of a new field, which is referred to as metagenomics.     

A simple method for preserving environmental DNA in water samples at ambient temperature by addition of cationic surfactant

Environmental DNA (eDNA) analysis is a powerful tool within ecology for the study of the distribution or abundance of aquatic species, although the simplification of water sampling is required for enabling light and fast field sampling to expand further application of eDNA analysis. Here, certain candidate chemicals belonging to the group of cationic surfactants were examined for their effectiveness as preservatives for eDNA water samples by simply adding the chemicals to water samples to suppress the degradation of eDNA. The quaternary ammonium compound benzalkonium chloride (BAC) at a final concentration of 0.01% was effective to retain 92% of eDNA derived from the bluegill sunfish Lepomis macrochirus in an 8-h incubation test at ambient temperature, which assumed a transportation of water samples in 1-day field sampling during the daytime. Meanwhile, eDNA in water samples without BAC retained only 14% of the initial eDNA. Moreover, an additional long-term incubation test (up to 10 days) revealed BAC-treated samples retained ~70 and 50% of bluegill DNA compared to the initial amount after 1- and 10-day incubation at ambient temperature, respectively. Meanwhile, eDNA in naïve samples reduced to 20% after 1-day incubation and reached undetectable levels after 10 days. Up to now, many eDNA studies have adopted on-site filtration followed by filter fixation, which requires many pieces of equipment. Addition of BAC can protect eDNA in water samples with less effort and equipment resulting in an increase of measurement accuracy of the eDNA quantity and detection probability of rare species by preventing the disappearance of rare sequences in water samples.     

A simple technique for electroelution of DNA from environmental samples.

A novel method was developed for the extraction of DNA from environmental material. Soil or sediment samples were encapsulated in agarose blocks and, following treatment with lysis reagents, the DNA was extracted by electroelution.     

Preparation of milk samples for PCR analysis using a rapid filtration technique

AIMS: To investigate the usefulness of a straightforward filtration method for the isolation of Escherichia coli O157:H7 contaminants from milk for PCR detection. METHODS AND RESULTS: Escherichia coli O157:H7 is grown in milk and enriched in Luria-Bertani (LB) medium. Samples are filtered through a 0.45-microm pore membrane. The membrane is immersed in 200-microl lysis buffer and incubated at 95 degrees C for 10 min to release bacterial DNA for subsequent PCR detection. Under current conditions, the overall duration from filtration to PCR-ready DNA generation is <20 min, and the detection level for PCR was as low as 10 CFU of bacteria in 1 ml of milk. CONCLUSION: Bacterial contaminants of milk can be concentrated and isolated by a simple, one-step filtration and their DNA can be released for subsequent PCR detection by heating the filter membrane at 95 degrees C for 10 min. SIGNIFICANCE AND IMPACT OF THE STUDY: The simplicity of this method allows inexpensive, high throughput automation that meets the demands of modern food hygiene monitoring.     

DNA amplification to enhance detection of genetically engineered bacteria in environmental samples

The polymerase chain reaction (PCR) was performed to amplify a 1.0-kilobase (kb) probe-specific region of DNA from the herbicide-degrading bacterium Pseudomonas cepacia AC1100 in order to increase the sensitivity of detecting the organism by dot-blot analysis. The 1.0-kb region was an integral portion of a larger 1.3-kb repeat sequence which is present as 15 to 20 copies on the P. cepacia AC1100 genome. PCR was performed by melting the target DNA, annealing 24-base oligonucleotide primers to unique sequences flanking the 1.0-kb region, and performing extension reactions with DNA polymerase. After extension, the DNA was again melted, and the procedure was repeated for a total of 25 to 30 cycles. After amplification the reaction mixture was transferred to nylon filters and hybridized against radiolabeled 1.0-kb fragment probe DNA. Amplified target DNA was detectable in samples initially containing as little as 0.3 pg of target. The addition of 20 micrograms of nonspecific DNA isolated from sediment samples did not hinder amplification or detection of the target DNA. The detection of 0.3 pg of target DNA was at least a 10(3)-fold increase in the sensitivity of detecting gene sequences compared with dot-blot analysis of nonamplified samples. PCR performed after bacterial DNA was isolated from sediment samples permitted the detection of as few as 100 cells of P. cepacia AC1100 per 100 g of sediment sample against a background of 10(11) diverse nontarget organisms; that is, P. cepacia AC1100 was positively detected at a concentration of 1 cell per g of sediment. This represented a 10(3)-fold increase in sensitivity compared with nonamplified samples.     

Statistical assessment of DNA extraction methodology for culture-independent analysis of microbial community associated with diverse environmental samples

Cost-effectiveness, quality, time-effectiveness and ease of the methodology are the most crucial factors in isolating quality DNA from wide variety of samples. Thus, research efforts focusing on the development of an efficient DNA extraction protocol is the need of the hour. The present study therefore, focuses on development of an efficient, rapid and free of inhibitory substances based methodology for extracting metagenomic DNA from diverse environmental samples viz. anaerobic biogas digesta, ruminant stomach, human feces, soil, and microbial starter cultures used for preparation of fermented food. PCR–DGGE based analysis and quality metagenomic library preparation, using DNA extraction methodology, validates the developed protocol. The developed protocol is cost effective, capable of isolating DNA from small sample size (100–1000 µl), time efficient (1.5–2.0 h protocol) and results in significantly higher DNA yield (4–8 times increased yield) when compared to previously available DNA extraction method and a commercial DNA extraction kit. The DNA extracted from the samples using different protocols was evaluated based on its ability to identify diverse microbial species using PCR–DGGE profiles targeting variable region within the 16S rRNA gene. The results of microbial community analysis revealed comparability of the developed protocol to commercial kits, in effectively identifying dominant representatives of the microbial community in different samples. Using the DNA extracted from the presented methodology, metagenomic libraries were prepared, which were found suitable for sequencing on Illumina platform.     

Quantitative real-time Legionella PCR for environmental water samples: data interpretation

Quantitative Legionella PCRs targeting the 16S rRNA gene (specific for the genus Legionella) and the mip gene (specific for the species Legionella pneumophila) were applied to a total of 223 hot water system samples (131 in one laboratory and 92 in another laboratory) and 37 cooling tower samples (all in the same laboratory). The PCR results were compared with those of conventional culture. 16S rRNA gene PCR results were nonquantifiable for 2.8% of cooling tower samples and up to 39.1% of hot water system samples, and this was highly predictive of Legionella CFU counts below 250/liter. PCR cutoff values for identifying hot water system samples containing >10(3) CFU/liter legionellae were determined separately in each laboratory. The cutoffs differed widely between the laboratories and had sensitivities from 87.7 to 92.9% and specificities from 77.3 to 96.5%. The best specificity was obtained with mip PCR. PCR cutoffs could not be determined for cooling tower samples, as the results were highly variable and often high for culture-negative samples. Thus, quantitative Legionella PCR appears to be applicable to samples from hot water systems, but the positivity cutoff has to be determined in each laboratory.     

Immunoassay for viable Cryptosporidium parvum oocysts in turbid environmental water samples

Cryptosporidium parvum oocysts in drinking water have been implicated in outbreaks of diarrheal disease. Current methods for monitoring environmental exposures to C. parvum only account for total number of oocysts without regard for the viability of the parasite. Measurement of oocyst viability, as indicated by an oocyst's ability to excyst, is useful because over time oocysts lose the ability to excyst and become noninfective. Thus, correlating the number of viable oocysts in drinking water with incidence and risk for disease should be more reliable than using the total number of oocysts. We have developed a quantitative assay capable of detecting low numbers of excystable, sporozoite-releasing C. parvum oocysts in turbid water samples. Monoclonal (CP7) and polyclonal antibodies have been developed against a sporozoite antigen released only during excystation or when the oocyst is mechanically disrupted. CP7 is specific for C. parvum and does not react with C. baileyi, C. muris, C. serpentis, Giardia spp., Eimeria spp., or E. nieschulzi. In this assay, oocysts in the test sample are first excysted and then centrifuged. The soluble sporozoite antigen is captured by CP7 attached to a magnetic bead. The captured antigen is then detected by ruthenium-labeled polyclonal antibodies via electrochemiluminescence. The CP7 viability assay can detect as few as 50 viable oocysts in a 1-ml assay sample with a turbidity as high as 200 Nephelometric turbidity units. This sensitive, turbidity-tolerant assay for oocyst viability may permit a better assessment of the disease risk associated with the presence of environmental oocysts.     

Glyphosate-degrading isolates from environmental samples: occurrence and pathways of degradation

The metabolism of the organophosphonate herbicide glyphosate was investigated in 163 environmental bacterial strains, obtained by a variety of isolation strategies from sites with or without prior exposure to the compound. Isolates able to use glyphosate as sole phosphorus source were more common at a treated site, but much less abundant than those capable of using the glyphosate metabolite aminomethyl-phosphonic acid (AMPA). Nevertheless, all 26 strains found to metabolise the herbicide did so via an initial cleavage of its carbon-phosphorus bond so via an initial cosine; no evidence for its metabolism or co-metabolism to AMPA was obtained.     

Recovery of diverse genes for class 1 integron-integrases from environmental DNA samples

Class 1 integrons are an important vector for the spread of antibiotic resistance. The core of this genetic element is highly conserved in all class 1 integrons recovered from clinical contexts. Recently, bacteria containing more divergent class 1 integrons have been isolated from environmental samples, suggesting undiscovered diversity in these elements. We performed a culture-independent survey of the class 1 integron-integrase gene (intI1) from environmental DNA, assessing sequence variation using capillary electrophoresis single-strand conformation polymorphism. This analysis allowed informed selection of environments for further investigation based on the diversity of intI1 targets that were present. IntI1 was common in environmental samples and exhibited previously unsuspected sequence diversity. The method allowed discrimination between clinical and environmental variants of intI1.     

Detection of Mycobacterium leprae DNA in clinical and environmental samples using serological analysis and PCR

Molecular Biology Reports - Leprosy is a chronic infectious disease caused by Mycobacterium leprae and persists as a serious public health problem in Brazil. This microorganism is inculturable,...     

Comparison of membrane filtration and Autoanalysis Colilert presence-absence techniques for analysis of total coliforms and Escherichia coli in drinking water samples

Over a 4-month period, 950 samples of treated drinking water were analyzed for total coliforms (TC) and Escherichia coli by both membrane filtration (MF) and Autoanalysis Colilert presence-absence (AC) techniques. The two tests agreed 97% of the time on the basis of presumptive TC results and 98.5% of the time on the basis of verified TC results. Samples which produced disagreement between the two tests were most often TC positive by MF and TC negative by AC. E. coli was recovered four times: twice by MF only, and twice by AC only but without the diagnostic fluorescence reaction. In two samples, E. coli could not be isolated from fluorescence-positive AC tests. On the basis of these results, the AC test was implemented as the routine analytical procedure for TC but not for E. coli.     

Viral metagenome analysis to guide human pathogen monitoring in environmental samples

Aims: The aim of this study was to develop and demonstrate an approach for describing the diversity of human pathogenic viruses in an environmentally isolated viral metagenome. Methods and Results: In silico bioinformatic experiments were used to select an optimum annotation strategy for discovering human viruses in virome data sets and applied to annotate a class B biosolid virome. Results from the in silico study indicated that <1% errors in virus identification could be achieved when nucleotide‐based search programs (BLASTn or tBLASTx), viral genome only databases and sequence reads >200 nt were considered. Within the 51 925 annotated sequences, 94 DNA and 19 RNA sequences were identified as human viruses. Virus diversity included environmentally transmitted agents such as parechovirus, coronavirus, adenovirus and aichi virus, as well as viruses associated with chronic human infections such as human herpes and hepatitis C viruses. Conclusions: This study provided a bioinformatic approach for identifying pathogens in a virome data set and demonstrated the human virus diversity in a relevant environmental sample. Significance and Impact of the Study: As the costs of next‐generation sequencing decrease, the pathogen diversity described by virus metagenomes will provide an unbiased guide for subsequent cell culture and quantitative pathogen analyses and ensures that highly enriched and relevant pathogens are not neglected in exposure and risk assessments.     

Evaluation of five membrane filtration methods for recovery of Cryptosporidium and Giardia isolates from water samples

We evaluated the efficiency of five membrane filters for recovery of Cryptosporidium parvum oocysts and Giardia lamblia cysts. These filters included the Pall Life Sciences Envirochek (EC) standard filtration and Envirochek high-volume (EC-HV) membrane filters, the Millipore flatbed membrane filter, the Sartorius flatbed membrane filter (SMF), and the Filta-Max (FM) depth filter. Distilled and surface water samples were spiked with 10 oocysts and 10 cysts/liter. We also evaluated the recovery efficiency of the EC and EC-HV filters after a 5-s backwash postfiltration. The backwashing was not applied to the other filtration methods because of the design of the filters. Oocysts and cysts were visualized by using a fluorescent monoclonal antibody staining technique. For distilled water, the highest percent recovery for both the oocysts and cysts was obtained with the FM depth filter. However, when a 5-s backwash was applied, the EC-HV membrane filter (EC-HV-R) was superior to other filters for recovery of both oocysts (n = 53 +/- 15.4 per 10 liters) and cysts (n = 59 +/- 11.5 per 10 liters). This was followed by results of the FM depth filter (oocysts, 28.2 +/- 8, P = 0.015; cysts, 49.8 +/- 12.2, P = 0.4260), and SMF (oocysts, 16.2 +/- 2.8, P = 0.0079; cysts, 35.2 +/- 3, P = 0.0079). Similar results were obtained with surface water samples. Giardia cysts were recovered at higher rates than were Cryptosporidium oocysts with all five filters, regardless of backwashing. Although the time differences for completion of filtration process were not significantly different among the procedures, the EC-HV filtration with 5-s backwash was less labor demanding.     

Detection of bacterial pathogens in environmental samples using DNA microarrays

Polymerase chain reaction (PCR) is an important tool for pathogen detection, but historically, it has not been possible to accurately identify PCR products without sequencing, Southern blots, or dot-blots. Microarrays can be coupled with PCR where they serve as a set of parallel dot-blots to enhance product detection and identification. Microarrays are composed of many discretely located probes on a solid substrate such as glass. Each probe is composed of a sequence that is complimentary to a pathogen-specific gene sequence. PCR is used to amplify one or more genes and the products are then hybridized to the array to identify species-specific polymorphism within one or more genes. We illustrate this type of array using 16S rDNA probes suitable for distinguishing between several salmonid pathogens. We also describe the use of microarrays for direct detection of either RNA or DNA without the aid of PCR, although the sensitivity of these systems currently limits their application for pathogen detection. Finally, microarrays can also be used to "fingerprint" bacterial isolates and they can be used to identify diagnostic markers suitable for developing new PCR-based detection assays. We illustrate this type of array for subtyping an important food-borne pathogen, Listeria monocytogenes.     

Improved purification and PCR amplification of DNA from environmental samples

Purification and PCR amplification procedures for DNA extracted from environmental samples (soil, compost, and river sediment) were improved by introducing three modifications: precipitation of DNA with 5% polyethylene glycol 8000 (PEG) and 0.6 M NaCl; filtration with a Sepharose 4B-polyvinylpolypyrrolidone (PVPP) spin column; and addition of skim milk (0.3% w/v) to the PCR reaction solution. Humic substances' concentration after precipitation with 5% PEG was 2.57-, 5.3-, and 78.9-fold lower than precipitation with 7.5% PEG, 10% PEG, and isopropanol, respectively. After PEG precipitation, Sepharose, PVPP and the combined (Sepharose-PVPP) column removed 92.3%, 89.5%, and 98%, respectively, of the remaining humic materials. Each of the above-mentioned modifications improved PCR amplification of the 16S rRNA gene. DNA extracted by the proposed protocol is cleaner than DNA extracted by a commercial kit. Nevertheless, the improvement of DNA purification did not improve the detection limit of atrazine degradation gene atzA.