Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Improved Methods for Capture, Extraction, and Quantitative Assay of Environmental DNA from Asian Bigheaded Carp (Hypophthalmichthys spp.)

  • Cameron R. Turner ,

    crt343@gmail.com

    Affiliation Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, United States of America

  • Derryl J. Miller,

    Affiliation Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, United States of America

  • Kathryn J. Coyne,

    Affiliation College of Earth, Ocean, and Environment, University of Delaware, Lewes, Delaware, United States of America

  • Joel Corush

    Current address: Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America

    Affiliation Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, United States of America

Abstract

Indirect, non-invasive detection of rare aquatic macrofauna using aqueous environmental DNA (eDNA) is a relatively new approach to population and biodiversity monitoring. As such, the sensitivity of monitoring results to different methods of eDNA capture, extraction, and detection is being investigated in many ecosystems and species. One of the first and largest conservation programs with eDNA-based monitoring as a central instrument focuses on Asian bigheaded carp (Hypophthalmichthys spp.), an invasive fish spreading toward the Laurentian Great Lakes. However, the standard eDNA methods of this program have not advanced since their development in 2010. We developed new, quantitative, and more cost-effective methods and tested them against the standard protocols. In laboratory testing, our new quantitative PCR (qPCR) assay for bigheaded carp eDNA was one to two orders of magnitude more sensitive than the existing endpoint PCR assays. When applied to eDNA samples from an experimental pond containing bigheaded carp, the qPCR assay produced a detection probability of 94.8% compared to 4.2% for the endpoint PCR assays. Also, the eDNA capture and extraction method we adapted from aquatic microbiology yielded five times more bigheaded carp eDNA from the experimental pond than the standard method, at a per sample cost over forty times lower. Our new, more sensitive assay provides a quantitative tool for eDNA-based monitoring of bigheaded carp, and the higher-yielding eDNA capture and extraction method we describe can be used for eDNA-based monitoring of any aquatic species.

Introduction

Environmental DNA (eDNA) is DNA extracted from environmental samples (e.g., soil, water, air) without first isolating the target organisms or their parts [1], [2]. The concept and the term both originate from microbiology [3] where the target DNA in environmental samples is from abundant live and dead microbes. In contrast, macrobial eDNA is the DNA of large organisms such as animals or plants that occurs in environmental samples. Although macrobial eDNA has been studied since 1991 in fields such as human forensics [4], agricultural transgenics [5], paleogenetics [6], and fecal pollution source tracking [7], it was only in 2008 that it was first used for aquatic macrofauna [8]. Aqueous macrobial eDNA has garnered particular interest [9], [10] as a simple and sensitive way to detect rare aquatic macrofauna such as invasive or endangered vertebrates and invertebrates [11][20]. In comparison, direct observation of rare organisms often has low detection probability [21], limited seasons [22], high costs [23], and increased risk of harming sensitive species [24].

One of the first and largest conservation programs with eDNA-based monitoring as a central instrument is focused on Asian bigheaded carp (Hypophthalmichthys spp., hereafter bigheaded carp) [25][28]. Bigheaded carp were imported to North America as two separate species, Bighead Carp (Hypophthalmichthys nobilis) and Silver Carp (Hypophthalmichthys molitrix). However, in the Mississippi River basin Hypophthalmichthys hybridization is widespread, including fertile post-F1 hybrids and F1 hybrid frequency estimates as high as 73% for the H. molitrix morphotype [29][31]. This hybrid swarm may be developing into a new species complex [30] as the genus expands its range northward [32], [33]. These large planktivorous fish threaten fisheries due to their dietary overlap with native filter feeders [34] and their tendency to reach high abundance and biomass in their invaded range [35]. These characteristics have implicated bigheaded carp in the decline of at least two commercially important fish species in the Mississippi basin, gizzard shad (Dorosoma cepedianum) and bigmouth buffalo (Ictiobus cyprinellus) [36]. Recent analyses predict that small introductions of bigheaded carp could become established [37] and cause significant ecological and economic harm in many coastal embayments, wetlands, and tributaries of the Laurentian Great Lakes [38], [39].

eDNA-based monitoring to provide early detection of bigheaded carp is a central instrument in the ongoing, binational effort to prevent their establishment in the Great Lakes [25], [26], but the methods currently used for capturing, extracting, and assaying bigheaded carp eDNA have not advanced since their development in 2010 [25], [40]. Their continued application has revealed inconsistent performance, including failure to detect H. nobilis at a site in the Mississippi River where they are considered abundant [41]. Our objective was to develop a set of tools for eDNA-based monitoring of bigheaded carp that are more effective and affordable than the current standard protocol. We present new methods that increase sensitivity and objectivity, decrease cost, and add quantitative information compared to existing protocols. These consist of a quantitative polymerase chain reaction (qPCR) assay specific to bigheaded carp eDNA, a polycarbonate track-etched (PCTE) filter membrane for capturing eDNA, and a cetyl trimethyl ammonium bromide (CTAB) DNA extraction protocol. We compare the performance of new and old methods using paired samples from an experimental pond containing bigheaded carp.

Materials and Methods

Ethics Statement

No permits were required for sampling at any of the sites in this study, however several were privately owned and required permission for sampling, as noted in Table S1. Field sampling did not involve any endangered or protected species, and sampling locations are provided in Table S1. No animal welfare or animal use and care protocols were required for this study, as no vertebrate animals were directly utilized (only environmental samples were collected and we did not directly house or manipulate any animals).

Adaptation of microbiology methods to capture and extract aqueous macrobial eDNA

For decades, environmental microbiologists have developed, refined, and compared methods to capture and extract DNA from environmental samples [42]. We selected a widely used approach from aquatic microbiology wherein water samples are filtered through PCTE membranes and the filter retentate is extracted using a CTAB protocol wherein chloroform chemically dissolves the PCTE filter [43], [44]. We chose PCTE membranes (47 mm diameter, GE Osmonics, sold by Barney Corporation, Hilliard, Ohio, USA) with a 10 µm pore size because in side-by-side trials one PCTE membrane allowed filtration of 2 L of water in approximately the same amount of time (∼10 min) required to filter 2 L of pond water through one 1.5 µm pore size glass fiber (GF) filter (47 mm diameter, grade 934-AH, Whatman, GE Healthcare Life Sciences, Piscataway, New Jersey, USA). The 934-AH GF filter and 2 L water volume are specified in the current standard operating procedure for eDNA-based monitoring of bigheaded carp [25], [40]. Our CTAB DNA extraction protocol (Protocol S1) differs from that of Coyne et al. [43], [44] only in the absence of β-mercaptoethanol from the CTAB buffer, which we removed for convenience because it produces a strong disagreeable odor.

Development of a Hypophthalmichthys genus-specific qPCR assay to quantify eDNA

Due to the high mitochondrial DNA (mtDNA) similarity between H. nobilis and H. molitrix [45] and their extensive hybridization in the Misssissippi basin [29], [30] we designed a Hypophthalmichthys genus-specific qPCR assay to exclusively measure the concentration of bigheaded carp eDNA in environmental samples. We designed a hydrolysis probe assay incorporating a Minor Groove-Binding (MGB) moiety to maximize specificity with minimal probe length [46], [47]. Primers and probes targeting only bigheaded carp were designed to maximize nucleotide mismatches between target and nontarget species using an alignment of all available mitochondrial control region (D-loop) sequences from NCBI GenBank for bigheaded carp and the most closely related species that potentially co-occur in North America: Common Carp (Cyprinus carpio), Goldfish (Carassius auratus), Grass Carp (Ctenopharyngodon idella), Black Carp (Mylopharyngodon piceus), and Crucian Carp (Carassius carassius). Melting temperature (Tm) compatibility of oligonucleotides was checked using Primer Express v3.0.1 (Life Technologies, Carlsbad, California, USA). We conducted further in silico testing of species-specificity using the NCBI Primer-BLAST tool [48] and found no evidence of primer amplification outside the target genus.

A set of candidate primers and probes was selected for in vitro testing with 1 ng•µL−1 standardized tissue-derived total genomic DNA from H. nobilis, H. molitrix, C. carpio, C. auratus, and C. idella. Importantly, obtaining uncontaminated samples of tissue from these closely related, co-occurring species required considerable and repeated effort, and we recommend extreme care to prevent cross-contamination of assay validation samples during collection, handling, transport, storage, extraction, etc. qPCR assays targeting low level DNA are notoriously sensitive to contamination, and their use requires extra precautions that are uncommon in ecological research and even in standard genetics laboratories [49], [50]. We selected one primer set (100 bp amplicon) and one MGB probe (Table 1, Figure 1) that demonstrated identical amplification efficiency from both H. nobilis and H. molitrix DNA and no amplification from any of the nontarget species’ DNA. Note that we designed two slightly different versions of the forward and reverse primers (Table 1), reflecting three positions that vary within bigheaded carp, according to all available GenBank sequences. Rather than ordering primers with degenerate bases, which would create unnecessary combinations of the two variable positions in the reverse primer, we simply ordered each version separately and combined them at equimolar concentration. We also designed and tested a Locked Nucleic Acid (LNA; Sigma-Aldrich, St. Louis, Missouri, USA) [51] version of the probe (Table 1) and found equivalent performance (data not shown). All results in this study were generated using the MGB version of the probe.

thumbnail
Figure 1. Alignment diagram showing the relative position of oligonucleotides for the qPCR and endpoint PCR assays.

The qPCR assay was developed in the present study and the endpoint PCR assays are from a previous study [40]. Gaps (−) and bases in between oligonucleotides (… n bp…) reflect the actual alignment used to design the qPCR assay. Note that all oligonucleotides are shown on the ‘sense’ strand in 5′ to 3′ orientation, left to right. Thus oligonucleotides that actually bind to the sense strand (i.e., reverse primers and the hydrolysis probe) are shown as reverse-complements of the actual oligonucleotides used in an assay (Table 1). Degenerate bases are shown in bold text, but oligonucleotides were not synthesized with degenerate bases for the qPCR assay (Table 1). The forward primer of the Silver Carp endpoint PCR assay was synthesized with degenerate bases, as specified in the study that developed it [40].

https://doi.org/10.1371/journal.pone.0114329.g001

thumbnail
Table 1. qPCR oligonucleotides developed for this study to produce a genus-specific assay targeting a 100 bp section of the D-loop mtDNA region in bigheaded carp (genus Hypophthalmichthys: H. molitrix and H. nobilis).

https://doi.org/10.1371/journal.pone.0114329.t001

Finally, we conducted in situ testing of this assay using eDNA samples from various natural and manmade water bodies (Table S1). These included water bodies where bigheaded carp had previously been stocked or detected (target species present) and water bodies where neither bigheaded carp nor bigheaded carp eDNA had previously been detected (target species absent). For any site where at least one in situ testing eDNA sample produced at least one positive reaction with the new qPCR assay, we purified the qPCR product (ExoSAP-IT, USB/Affymetrix, Santa Clara, CA, USA) and submitted it to the University of Notre Dame Genomics Core Facility for bi-directional Sanger sequencing (ABI 3730xl, Applied Biosystems/Life Technologies, Foster City, CA, USA). Resulting chromatograms were quality trimmed by eye and taxonomically identified using alignment with the same set of sequences used to design the assay and with a standard nucleotide BLAST [52] search of the NCBI nr/nt database.

We performed all reactions on an Eppendorf Mastercycler ep realplex2 S thermocycler (Eppendorf, Hauppauge, New York, USA) with the following thermocycling conditions: 50°C for 2 min, 95°C for 10 min, and 55 two-step cycles of 95°C for 15 s and 60°C for 1 min. Fluorescence data collection occurred during the 60°C step. We used TaqMan Environmental Master Mix 2.0 (Life Technologies). We performed 20 µL triplicate reactions using 10 µL of commercial master mix, final primer concentrations of 300 nM each, a final probe concentration of 200 nM, and 4 µL of DNA extract. To minimize variation between replicate reactions caused by imperfect pipetting of small DNA extract volumes, we combined DNA extract and the final master mix (all other reagents) for three reactions into one tube then dispensed to three plate wells using an electronic repeating pipette (Xplorer 5–100 µL, Eppendorf) according to manufacturer recommended pipetting procedures. All liquid handling for qPCR used low bind tubes and low bind aerosol barrier pipette tips [53], and each qPCR plate included three no template control (NTC) reactions.

We used a copy number standard curve made by amplifying the entire mtDNA D-loop (1022 bp) [54] from tissue-derived H. molitrix DNA. After confirming a single gel electrophoresis band approximately 1000 bp in size, we purified this PCR amplicon using ExoSAP-IT (Affymetrix-USB Corporation, Santa Clara, California, USA) and quantified it using 5 µL of PCR product with a Qubit fluorometer and the Qubit dsDNA High Sensitivity kit (Life Technologies). We converted from DNA weight to DNA copies using the median double-stranded molecular weight of the 95% consensus 1022 bp amplicon sequence from all H. molitrix mitogenomes on GenBank (635518 g•mole−1) as calculated by OligoCalc [55]. This molecular weight calculation takes into account the actual base composition of the polynucleotide and yielded a weight equivalent to calculating molecular weight using an average weight of 618 Daltons•bp−1. We stored single-use 6.4×106 copies•µL−1 (6.7×10−3 ng•µL−1) aliquots of this standard DNA in low TE buffer (10 mM Tris, 0.1 mM EDTA) at −20°C. Five point qPCR standard curves were prepared by serial 10-fold dilution from 104 copies•µL−1 down to 10−1 copies•µL−1 in low TE buffer and stored at 4°C while in use [56]. The fluorescence threshold for each plate and the fluorescence baseline for each reaction were determined using default settings of the Eppendorf realplex software version 2.2 (Noiseband and Automatic Baseline, respectively). Every amplification profile was visually examined to confirm exponential amplification. Following the recommendation of Ellison et al. [53] for qPCR with low level DNA, we calculated concentrations for each reaction, assigning zero concentration to non-detect reactions and averaging concentration across the three technical replicates for each eDNA extract.

Comparison of methods

We compared our newly developed qPCR assay and eDNA capture/extraction methods with the existing endpoint PCR assays and eDNA capture/extraction methods for bigheaded carp eDNA surveillance using an experimental pond at the United States Geological Survey Columbia Environmental Research Center (USGS-CERC) in Columbia, Missouri, USA. USGS-CERC experimental pond 26, an earthen, gravel-lined pond measuring 37 m long by 21 m wide by 1 m deep and holding approximately 950 m3 of water, had previously been filled with well water and stocked with twelve juvenile Grass Carp (approximately 150–300 mm total length), five H. nobilis (approximately 200 mm total length), and one H. molitrix (approximately 200 mm total length). Over a five-day period (April 30, 2012– May 04, 2012) we conducted twelve sampling events at this pond. Each sampling event consisted of filling eight autoclaved 2-L bottles with surface water in paired fashion, two bottles filled simultaneously and side-by-side from each corner of the pond: one for GF filtration and one for PCTE filtration. A collection negative control bottle was filled with 2 L reverse osmosis (RO) water in the laboratory prior to sampling and was transported alongside sample bottles during collection for each sampling event.

eDNA capture by filtration was performed following Jerde et al. [40] except we placed filters in 300-mL single-use filter funnels (Pall 4815, Port Washington, New York, USA). We performed eDNA capture using GF 934-AH filters (1.5 µm nominal pore size, 47 mm diameter, Whatman) and PCTE filters (10 µm pore size, 47 mm diameter, GE Osmonics). For every sample, the full 2 L successfully passed through a single filter within approximately 10 min. After filtration we used bleach-decontaminated forceps to carefully fold the filter and place it into a 5-mL bead beating tube (GF filters) or a 2-mL microcentrifuge tube (PCTE filters). Negative controls were filtered alongside samples. Used filters were immediately frozen (−20°C), then transported to the University of Notre Dame on dry ice and stored in a −20°C freezer until eDNA extraction.

We extracted eDNA from GF filters with the PowerWater DNA Isolation Kit (MO BIO Laboratories, Carlsbad, California, USA) following Jerde et al. [40], but we included one extraction negative control with every batch of PowerWater DNA extractions and added pGEM-3Z plasmid (Promega, Madison, Wisconsin, USA) to Solution PW1 at 0.02 ng•µL−1 as internal positive control (IPC) DNA for PCR inhibition testing [44]. We extracted eDNA from PCTE filters using our modified CTAB protocol (Protocol S1), including one extraction negative control with every batch of extractions and pGEM-3Z plasmid in the CTAB buffer at 0.02 ng•µL−1 as IPC DNA for PCR inhibition testing [44]. Final eDNA pellets were re-suspended in 100 µL of low TE buffer. We tested all eDNA samples for PCR inhibition using the pGEM-specific IPC assay described in Coyne et al. [44], and we considered pGEM amplification as evidence for a lack of inhibition. All eDNA samples were assayed with the two endpoint PCR assays (one for H. nobilis, one for H. molitrix) following Jerde et al. [40] and with the bigheaded carp qPCR assay we developed. To compare detection probability (i.e., diagnostic sensitivity) between methods, we calculated the proportion of samples that tested positive and the associated 95% confidence interval for a binomial probability using the Wilson score method [57] and performed McNemar’s chi-squared (χ2) test for comparing proportions from paired data. To compare the bigheaded carp eDNA yield between capture/extraction methods we used Student’s paired t-test and the Wilcoxon signed-rank test. All statistical analyses used an alpha level of 0.05 and were performed in R version 3.0.1 [58] using R packages ‘stats’ version 3.0.1 and ‘binom’ version 1.1–1.

We also directly compared the analytical sensitivity of the three assays using serial dilutions of their respective purified amplicons to determine the 95% limit of detection (LOD) for each assay under ideal conditions (i.e., in the absence of any non-target DNA or other potential inhibitors). The lowest amplicon concentration that produced amplification in at least 95% of the technical replicates was considered the 95% LOD [59]. We used eight technical replicates for each endpoint PCR assay [40] and three technical replicates for the qPCR assay.

Finally, to test the hypothesis that sensitivity differences between assays were largely due to amplicon size and primer Tm agreement, we tested all three assays in one set of common reaction conditions. This required elimination of the hydrolysis probe for the Hypophthalmichthys genus-specific qPCR assay so that all assays could be tested with primers alone. Amplification was monitored in real time using SYBR Green I dye, which fluoresces upon binding to double-stranded DNA. Reaction conditions consisted of 25 µL total volume, 12.5 µL Platinum SYBR Green qPCR SuperMix-UDG (Invitrogen), primers at 0.2 µM each, and 1 µL template DNA. A 4.85×105 copies•µL−1 solution of the entire mtDNA D-loop region [54], PCR-amplified and purified from H. molitrix or H. nobilis tissue-derived DNA, was used for template. Thermocycling conditions followed the manufacturer’s instructions for Platinum SYBR Green qPCR SuperMix-UDG and Platinum Taq (Invitrogen) and consisted of 50°C for 2 min, 95°C for 2 min, and 55 three-step cycles of 95°C for 30 s, 50°C for 30 s, and 72°C for 30 s. Fluorescence data collection occurred during the 72°C step. The Hypophthalmichthys genus-specific qPCR assay was separately tested with both H. molitrix template and H. nobilis template. The H. molitrix species-specific endpoint PCR assay was tested with H. molitrix template. The H. nobilis species-specific endpoint PCR assay was tested with H. nobilis template. All reactions were performed in triplicate on the same thermocycling run, allowing for calculation of a ΔCq value to compare assay sensitivity in one set of common reaction conditions. ΔCq was calculated as the average Cq of the triplicate reactions for a species-specific endpoint PCR assay minus the average Cq of the triplicate reactions for the genus-specific qPCR assay.

Results and Discussion

Improved assay for Hypophthalmichthys eDNA

Throughout the entire study, all collection negative controls, extraction negative controls, endpoint PCR NTCs, and qPCR NTCs tested negative. All eDNA samples passed the PCR inhibition test. In silico, in vitro, and in situ testing of the new bigheaded carp qPCR assay showed no evidence of amplification from DNA of non-target species (in silico: GenBank nr database; in vitro: C. carpio, C. auratus and C. idella; in situ: see Table S1), and Sanger sequencing of in situ testing samples confirmed amplification of the targeted 100 bp D-loop mtDNA amplicon from bigheaded carp (Table S1). Standard curves for all qPCR runs had r2≥0.98 and efficiency averaged 100%. The 95% LOD for the new bigheaded carp qPCR assay was 30 copies•reaction−1 (7 copies•µL−1 of amplicon solution) and the lowest concentration detected was 3 copies•reaction (1 copy•µL−1 of amplicon solution, 67% amplification). The 95% LOD for the old H. nobilis endpoint PCR assay was 2000 copies•reaction−1 (2000 copies•µL−1 of amplicon solution) and the lowest concentration detected was 200 copies•reaction−1 (200 copies•µL−1 of amplicon solution, 20% amplification). The 95% LOD for the old H. molitrix endpoint PCR assay was 200 copies•reaction−1 (200 copies•µL−1 of amplicon solution) and the lowest concentration detected was 10 copies•reaction−1 (10 copies•µL−1 of amplicon solution, 24% amplification).

In testing at the USGS-CERC experimental pond, the endpoint PCR assays collectively detected bigheaded carp eDNA in only 4 of 96 samples (two by the H. nobilis assay; two by the H. molitrix assay; 4.2% detection probability; Table 2). In contrast, the qPCR assay detected bigheaded carp eDNA in 91 of 96 samples (94.8% detection probability; Table 2). Thus the qPCR assay provided a 22-fold improvement in detection over the endpoint PCR assays (McNemar's χ2 = 85.0, df = 1, P<2.2×10−16).

thumbnail
Table 2. Detection probabilities of different methods for eDNA-based detection of bigheaded carp presence in an experimental pond containing six bigheaded carp.

https://doi.org/10.1371/journal.pone.0114329.t002

The new qPCR assay was designed for eDNA quantification using real-time fluorescent detection of amplification and hydrolysis probe chemistry, not by optimizing from the old endpoint PCR assays. Its design therefore followed the guidelines and practices of real-time quantitative PCR for low-level DNA in environmental mixtures including amplicon size <150 bp, primer melting temperatures near 60°C, inclusion of a probe, and use of inhibitor-resistant reagents [60]. These features prevent precise determination of the mechanisms producing the 22-fold higher sensitivity of the qPCR assay compared to the endpoint PCR assays. In fact, the kinetics of primer- and probe-template hybridization create idiosyncrasies that cannot be completely controlled for when comparing performance between PCR assays [60]. Our objective was not to determine what makes one assay more sensitive than another, but rather to provide the first quantitative assay for bigheaded carp eDNA and compare it against the assays currently being used to monitor this invasive species.

Nevertheless, three differences between the new qPCR assay and the old endpoint PCR assays stand out as likely contributors to the 22-fold sensitivity difference we observed: amount of DNA per reaction, amplicon size, and primer Tm agreement [60]. The qPCR assay used 4 µL of DNA in 20 µL reactions while the PCR assays used 1 µL of DNA in 25 µL reactions - a 5-fold difference in template DNA concentration. The qPCR assay amplifies a 100 bp amplicon while the PCR assays amplify 191 bp and 312 bp amplicons, respectively. Lastly, the Tm differences are 0.3°C for the qPCR primers, 0°C for the H. molitrix PCR primers, and 15.2°C for the H. nobilis PCR primers. The effects of amplicon size and primer Tm could not be separated because primer sequence determines both. We therefore performed a laboratory comparison of all three assays under identical reaction conditions to isolate the effect of amplicon size and primer Tm. We calculated the ΔCq between each endpoint PCR assay and the qPCR assay using identical starting concentrations of template DNA. ΔCq for the H. molitrix endpoint PCR assay compared to the qPCR assay was 8.7 cycles. ΔCq for the H. nobilis endpoint PCR assay compared to the qPCR assay was 16.3 cycles. Thus with all else held constant, the H. molitrix endpoint PCR primers reached the exponential amplification phase 8.7 cycles later than the Hypophthalmichthys qPCR primers. For the H. nobilis primers this phase occurred 16.3 cycles later. These amplification delays demonstrate that the greater sensitivity of the Hypophthalmichthys qPCR assay is largely due to its small amplicon size and close primer Tm agreement. Thus it would be incorrect to assume that qPCR technology (i.e., real-time fluorescent detection of amplification), in itself, provided the increase in sensitivity over endpoint PCR technology (i.e., endpoint fluorescent detection by gel electrophoresis). Overall, the 22-fold greater sensitivity of the new qPCR assay described here is sufficient to recommend its replacement of the old endpoint PCR assays for eDNA-based monitoring of bigheaded carp.

The low detection probability of the endpoint PCR assays (Table 2) was surprising given their successful field application in areas where bigheaded carp are rare [25], [40]. We ruled out PCR inhibition as the cause by using the pGEM IPC assay and by diluting samples and re-assaying them with the endpoint PCR assays. qPCR assay of the same samples ruled out failure to capture or recover bigheaded carp eDNA (Table 2) but demonstrated that its concentration was generally too low for detection by the endpoint PCR assays. The concentration of qPCR-measured bigheaded carp eDNA in the eDNA extracts ranged from 1 to 161 copies•µL−1 of eDNA extract overall, and from 1 to 26 copies•µL−1 of eDNA extract in the four samples producing endpoint PCR detection. The endpoint PCR assays specify 1 µL of eDNA extract per 25 µL reaction [40], thus the starting template concentration was always below the 95% LOD of either endpoint PCR assay (2000 and 200 copies•µL−1 of eDNA extract, respectively). The larger amplicons of the endpoint PCR assays likely further reduced template concentration relative to the qPCR assay, because shorter fragments of a given DNA region are more abundant in environmental samples [61]. In summary, the low detection probability we observed for the endpoint PCR assays is consistent with their analytical sensitivity given the low concentration of qPCR-measured bigheaded carp eDNA in the experimental pond. This result suggests that recent surveys may have failed to detect bigheaded carp eDNA when it was actually present.

Improved eDNA capture and extraction methods

The advantage of eDNA-based monitoring over direct observation rests primarily on increased sensitivity and/or cost-effectiveness [19]. This principle led us to make improvements on the methods developed by Jerde et al. [40], which are currently the standard operating procedures for eDNA surveillance in the ongoing binational effort to prevent bigheaded carp from establishing in the Great Lakes [27], [62]. Those eDNA capture and extraction methods present several opportunities for increasing sensitivity and decreasing cost. The chosen glass fiber (GF) filter (934-AH, Whatman) is only available in a small range of nominal pore sizes (0.7–2.7 µm) and is poorly suited for subsequent DNA extraction. Its use in the PowerWater DNA Isolation Kit requires substantial deviation from the manufacturer’s recommendation to use only one carefully rolled filter per extraction tube and to perform bead beating for only 5 min. The protocol from Jerde et al. [25], [40] packs up to four filters in the extraction tube and performs bead beating until the filters are ground into a slurry, sometimes requiring more than 60 min of bead beating (C.R.T, pers. obs.). The long bead beating step costs researcher time and increases the risk of DNA shearing [63], yet bead beating a single GF filter for only 5 min can fail to yield any target DNA, even when it was captured in abundance (C.R.T., unpublished data). In addition to the costs incurred by the long duration of this extraction, its purchase price is also high ($8.32 USD per extraction). When particularly turbid waters require more than eight filters to process the standard 2 L sample, the extraction consumables cost for one sample reaches $25 USD.

In contrast, Coyne et al. [43], [44] describe the use of a non-commercial CTAB DNA extraction protocol [64] for recovering aqueous microbial eDNA from filters. The CTAB protocol uses chloroform to chemically dissolve PCTE filters during the extraction, simplifying DNA recovery and allowing easy scaling of the extraction volume to accommodate many filters if needed. CTAB DNA extraction is widely used because of its versatility [43], high DNA yield [65], effective inhibitor removal [66], and extremely low cost (approximately $0.20 USD per 2 mL extraction). For these reasons, we applied the protocol of Coyne et al. [43], [44] to extract aqueous macrobial eDNA from PCTE filters, which are available in a wide range of pore sizes (0.1–20 µm; GE Osmonics, sold by Barney Corporation, Hilliard, Ohio, USA) and primarily retain particles on the filter surface rather than deeply embedded in the filter matrix like glass fiber and cellulosic filters [67], [68].

In testing at the USGS-CERC experimental pond, detection probability was not significantly different between eDNA capture/extraction methods for either type of assay (endpoint PCR or qPCR; McNemar's χ2 = 2.25, df = 1, P = 0.13, McNemar's χ2 = 0, df = 1, P = 1; Table 2) but the PCTE filter and CTAB extraction method yielded five times more bigheaded carp eDNA, on average, than the GF filter and PowerWater extraction (paired Student’s t-test, t = 4.1, df = 40, P = 0.00019; Figure 2). The 5-fold higher yield may reflect higher eDNA capture, extraction recovery, or both. However, the larger effective [69], [70] and nominal pore size of the PCTE filter (10 µm vs. 1.5 µm for GF) suggests eDNA capture would be higher for the GF filter. This points to extraction recovery as the more important process influencing final yield in our comparison, which is expected because phase separation and precipitation methods (e.g., CTAB) consistently yield more DNA than silica column methods (e.g., PowerWater) [71], [72]. Thus we recommend the CTAB extraction method for general application in eDNA-based monitoring. Its efficacy has been demonstrated on a wide range of environmental samples, from aquatic sediments [43], [73] and volcanic rock [74] to retentate on various types of filter material including PCTE [44], polyethersulfone (PES) [75], cellulose nitrate (nitrocellulose, pyroxylin) [76], cellulose acetate [77], glass fiber [78], and nylon net [79]. During the CTAB extraction, chloroform dissolves PCTE [80] and PES filters [81], facilitating the recovery of any DNA-containing particles embedded in the filter matrix [67], [82]. This chemical dissolution also enables simple scale up of the extraction volume to accommodate multiple filters or large surface area filters. Finally, for eDNA capture in the field, immediately storing a used filter in CTAB buffer (Protocol S1) reduces DNA degradation [83][85] because CTAB lyses cells while EDTA and salt inactivate nucleases.

thumbnail
Figure 2. qPCR assay results comparing the amount of bigheaded carp eDNA captured and recovered (i.e., eDNA yield) using two alternative capture/extraction methods on paired 2 L samples collected side-by-side in the experimental pond at USGS-CERC.

48 pairs of samples were collected, but following Zuur et al. [88], seven pairs with unusually high eDNA concentration (i.e., outliers) were removed prior to statistical analysis. Statistical results were robust to outlier presence or removal, and plots including outliers are provided in Figure S1. PCTE = polycarbonate track-etched filter membrane, GF = glass fiber filter paper, CTAB = cetyl trimethyl ammonium bromide DNA extraction protocol, PowerWater = PowerWater DNA Isolation Kit. (A) Paired data, (B) boxplot, (C) paired differences and the median difference (red point) and 95% confidence interval (red interval) from the Wilcoxon signed-rank test. Note that points in (C) are horizontally ‘jittered’ for better visualization. The PCTE/CTAB method yielded significantly more eDNA than the GF/PowerWater method (paired Student’s t-test, t = 4.1, df = 40, P = 0.00019).

https://doi.org/10.1371/journal.pone.0114329.g002

Conclusions

In testing at the USGS-CERC experimental pond, the standard procedure for detecting bigheaded carp eDNA (Table 3) failed to produce a single positive detection with either endpoint PCR assay, even though the pond contained one H. molitrix and five H. nobilis (Table 2). In contrast, our new procedure (Table 3) detected bigheaded carp presence with 95.8% detection probability (McNemar's χ2 = 44.0, df = 1, P = 3.2×10−11; Table 2). The new qPCR assay described here provided a 22-fold higher detection probability than the standard endpoint PCR assays, and the new eDNA capture and extraction method yielded five times more bigheaded carp eDNA than the standard method (Figure 2), at a per sample extraction cost over forty times lower.

thumbnail
Table 3. Comparison of existing and new protocols for eDNA-based monitoring of bigheaded carp.

https://doi.org/10.1371/journal.pone.0114329.t003

The standard operating procedure for eDNA-based monitoring of bigheaded carp regularly detects H. molitrix eDNA, and occasionally H. nobilis eDNA, in surveillance of invasion pathways to the Great Lakes [27], [28], but in this study it failed to detect one H. molitrix and five H. nobilis in a 0.08 hectare pond (Table 2). This unexpected result suggests that bigheaded carp eDNA concentration is often higher in these invasion pathways than it was in the pond. Perhaps the bigheaded carp in these invasion pathways (e.g., the Chicago Area Waterway System) are larger or more abundant than they were in the pond. Another possibility is that environmental conditions in those lotic rivers and canals create aggregations of bigheaded carp eDNA not found in the lentic pond [86], [87]. Whatever the cause may be, our new qPCR assay for eDNA-based monitoring of bigheaded carp will increase detection probability compared to the current assays, while removing the contamination risk, subjectivity, cost, and time required for gel electrophoresis. Quantitative data from qPCR may also help establish minimum thresholds of eDNA concentration for reliably inferring recent and local bigheaded carp presence, and allow investigation of the relationship between bigheaded carp abundance and eDNA concentration.

Supporting Information

Figure S1.

qPCR assay results, including outliers excluded from Figure 2, comparing the amount of bigheaded carp eDNA captured and recovered (i.e., eDNA yield) using two alternative capture/extraction methods on paired 2 L samples collected side-by-side in the experimental pond at USGS-CERC. PCTE = polycarbonate track-etched filter membrane, GF = glass fiber filter paper, CTAB = cetyl trimethyl ammonium bromide DNA extraction protocol, PowerWater = PowerWater DNA Isolation Kit. (A) Paired data, (B) boxplot, (C) paired differences and the median difference (red point) and 95% confidence interval (red interval) from the Wilcoxon signed-rank test. Note that points in (C) are horizontally ‘jittered’ for better visualization. N = 48 pairs of samples. The PCTE/CTAB method yielded significantly more eDNA than the GF/PowerWater method (paired Student’s t-test, t = 2.87, df = 47, P = 0.006).

https://doi.org/10.1371/journal.pone.0114329.s001

(EPS)

Table S1.

In situ specificity testing of the bigheaded carp qPCR assay.

https://doi.org/10.1371/journal.pone.0114329.s002

(DOCX)

Protocol S1.

CTAB DNA extraction protocol for PCTE or PES filters.

https://doi.org/10.1371/journal.pone.0114329.s003

(DOCX)

Acknowledgments

S.M. Handy and C.C.Y. Xu provided helpful discussion of assay design and eDNA extraction. A.R. Mahon provided helpful discussion of oligonucleotide design. A.R. Heath of Sigma-Aldrich Custom Products helped with LNA probe design. D.C. Chapman, C. Byrd, M. Lucey, J. Deters, and E. Brothers kindly provided access and support for sampling at USGS-CERC. L. Arriaga kindly provided access and support for sampling at the Potawatomi Zoo. S.W. Campbell and F. deNoyelles kindly provided access and support for sampling at KUFS. M.A. Barnes, A.M. Deines, J.M. Deines, W.L. Chadderton, C.L. Jerde, and D.M. Lodge provided helpful discussion of eDNA-based monitoring. We thank A. Zsolnai, L. Orbán, P. Xu, and one anonymous reviewer for helpful comments on an earlier version of this manuscript. D.M. Lodge, C.L. Jerde, and CRT directed the grants that funded this research. This is a publication of the Notre Dame Environmental Change Initiative.

Author Contributions

Conceived and designed the experiments: CRT DJM JC. Performed the experiments: CRT DJM JC. Analyzed the data: CRT. Contributed reagents/materials/analysis tools: CRT KJC. Wrote the paper: CRT DJM JC KJC.

References

  1. 1. Lodge DM, Turner CR, Jerde CL, Barnes MA, Chadderton L, et al. (2012) Conservation in a cup of water: estimating biodiversity and population abundance from environmental DNA. Mol Ecol 21:2555–2558
  2. 2. Taberlet P, Coissac E, Hajibabaei M, Rieseberg LH (2012) Environmental DNA. Molecular Ecology 21:1789–93 10.1111/j.1365-294X.2012.05542.x.
  3. 3. Ogram A, Sayler GS, Barkay T (1987) The extraction and purification of microbial DNA from sediments. J Microbiol Methods 7:57–66.
  4. 4. Hochmeister MN, Budowle B, Jung J, Borer UV, Comey CT, et al. (1991) PCR-based typing of DNA extracted from cigarette butts. Int J Legal Med 104:229–233
  5. 5. Widmer F, Seidler RJ, Donegan KK, Reed GL (1997) Quantification of transgenic plant marker gene persistence in the field. Mol Ecol 6:1–7
  6. 6. Willerslev E, Hansen AJ, Binladen J, Brand TB, Gilbert MTP, et al. (2003) Diverse plant and animal genetic records from Holocene and Pleistocene sediments. Science 300:791–795
  7. 7. Martellini A, Payment P, Villemur R (2005) Use of eukaryotic mitochondrial DNA to differentiate human, bovine, porcine and ovine sources in fecally contaminated surface water. Water Res 39:541–548
  8. 8. Ficetola GF, Miaud C, Pompanon F, Taberlet P (2008) Species detection using environmental DNA from water samples. Biol Lett 4:423–425
  9. 9. Sutherland WJ, Bardsley S, Clout M, Depledge MH, Dicks LV, et al. (2013) A horizon scan of global conservation issues for 2013. Trends Ecol Evol 28:16–22
  10. 10. Barnes MA, Turner CR, Jerde CL, Renshaw MA, Chadderton WL, et al. (2014) Environmental conditions influence eDNA persistence in aquatic systems. Environmental Science and Technology 48:1819–1827
  11. 11. Dejean T, Valentini A, Miquel C, Taberlet P, Bellemain E, et al. (2012) Improved detection of an alien invasive species through environmental DNA barcoding: the example of the American bullfrog Lithobates catesbeianus. J Appl Ecol 49:953–959
  12. 12. Minamoto T, Yamanaka H, Takahara T, Honjo MN, Kawabata Z (2011) Surveillance of fish species composition using environmental DNA. Limnology 13:193–197
  13. 13. Wilcox TM, McKelvey KS, Young MK, Jane SF, Lowe WH, et al. (2013) Robust detection of rare species using environmental DNA: the importance of primer specificity. PLoS One 8:e59520
  14. 14. Goldberg CS, Pilliod DS, Arkle RS, Waits LP (2011) Molecular detection of vertebrates in stream water: a demonstration using Rocky Mountain tailed frogs and Idaho giant salamanders. PLoS One 6:e22746
  15. 15. Thomsen PF, Kielgast J, Iversen LL, Møller PR, Rasmussen M, et al. (2012) Detection of a diverse marine fish fauna using environmental DNA from seawater samples. PLoS One 7:e41732
  16. 16. Kelly RP, Port JA, Yamahara KM, Crowder LB (2014) Using environmental DNA to census marine fishes in a large mesocosm. PLoS One 9:e86175
  17. 17. Thomsen PF, Kielgast J, Iversen LL, Wiuf C, Rasmussen M, et al. (2012) Monitoring endangered freshwater biodiversity using environmental DNA. Mol Ecol 21:2565–2573
  18. 18. Foote A, Thomsen P, Sveegaard S, Wahlberg M, Kielgast J, et al. (2012) Investigating the potential use of environmental DNA (eDNA) for genetic monitoring of marine mammals. PLoS One 7:e41781
  19. 19. Goldberg C, Sepulveda A, Ray A, Baumgart J, Waits LP (2013) Environmental DNA as a new method for early detection of New Zealand mudsnails (Potamopyrgus antipodarum). Freshw Sci 32:792–800
  20. 20. Takahara T, Minamoto T, Doi H (2013) Using environmental DNA to estimate the distribution of an invasive fish species in ponds. PLoS One 8:e56584
  21. 21. McDonald LL (2004) Sampling rare or elusive species. Sampling rare populations. New York, NY: Island Press. pp. 11–42.
  22. 22. Fusillo R, Marcelli M, Boitani L (2007) Survey of an otter Lutra lutra population in Southern Italy: site occupancy and influence of sampling season on species detection. Acta Theriol (Warsz) 52:251–260
  23. 23. Chao A, Colwell RK, Lin C-W, Gotelli NJ (2009) Sufficient sampling for asymptotic minimum species richness estimators. Ecology 90:1125–1133
  24. 24. Beja-Pereira A, Oliveira R, Alves PC, Schwartz MK, Luikart G (2009) Advancing ecological understandings through technological transformations in noninvasive genetics. Mol Ecol Resour 9:1279–1301
  25. 25. Jerde C, Chadderton W, Mahon AR, Renshaw MA, Corush J, et al. (2013) Detection of Asian carp DNA as part of a Great Lakes basin-wide surveillance program. Can J Fish Aquat Sci 526:522–526
  26. 26. United States Army Corps of Engineers, United States Geological Survey, United States Fish and Wildlife Service (2013) Environmental DNA Calibration Study. Interim Technical Review Report. February 2013. Available: http://www.asiancarp.us/documents/ECALS_INTERIM.pdf. Accessed 2013 Dec 20.
  27. 27. United States Fish and Wildlife Service (2013) USFWS Midwest Region Fisheries Program eDNA website. Available: http://www.fws.gov/midwest/fisheries/eDNA.html. Accessed 2013 Dec 20.
  28. 28. United States Army Corps of Engineers (2013) USACE Chicago District Aquatic Nuisance Species Portal eDNA website. Available: http://www.lrc.usace.army.mil/Missions/CivilWorksProjects/ANSPortal/eDNA.aspx. Accessed 2013 Dec 20.
  29. 29. Stuck JG (2012) Comparison of silver carp population demographics in an impounded and a free flowing river. Masters thesis. Eastern Illinois University. Available: http://thekeep.eiu.edu/theses/1046. Accessed 2013 Dec 20.
  30. 30. Lamer JT, Dolan CR, Petersen JL, Chick JH, Epifanio JM (2010) Introgressive Hybridization between Bighead Carp and Silver Carp in the Mississippi and Illinois Rivers. North Am J Fish Manag 30:1452–1461
  31. 31. Lamer JT, Sass GG, Boone JQ, Arbieva ZH, Green SJ, et al. (2014) Restriction site-associated DNA sequencing generates high-quality single nucleotide polymorphisms for assessing hybridization between bighead and silver carp in the United States and China. Mol Ecol Resour 14:79–86
  32. 32. Kolar CS, Chapman DC, Courtenay WRJ, Housel CM, Williams JD, et al.. (2007) Bigheaded Carps: A Biological Synopsis and Environmental Risk Assessment. Special Publication 33. Bethesda, Maryland, USA: American Fisheries Society.
  33. 33. United States Geological Survey (2013) Nonindigenous aquatic species database. Available: http://nas.er.usgs.gov. Accessed 2013 Dec 20.
  34. 34. Sampson SJ, Chick JH, Pegg MA (2008) Diet overlap among two Asian carp and three native fishes in backwater lakes on the Illinois and Mississippi rivers. Biol Invasions 11:483–496
  35. 35. Chapman DC, Hoff MHeditors 2011) Invasive Asian Carps in North America. AFS Symposium 74. Bethesda, Maryland, USA: American Fisheries Society.
  36. 36. Irons KS, Sass GG, McClelland MA, Stafford JD (2007) Reduced condition factor of two native fish species coincident with invasion of non-native Asian carps in the Illinois River, USA: evidence for competition and reduced fitness? J Fish Biol 71:258–273
  37. 37. Cuddington K, Currie WJS, Koops MA (2013) Could an Asian carp population establish in the Great Lakes from a small introduction? Biol Invasions. doi:doi:https://doi.org/10.1007/s10530-013-0547-3..
  38. 38. Cooke SL, Hill WR (2010) Can filter-feeding Asian carp invade the Laurentian Great Lakes? A bioenergetic modelling exercise. Freshw Biol 55:2138–2152
  39. 39. Cudmore B, Mandrak NE, Dettmers JM, Chapman DC, Kolar CS (2012) Binational ecological risk assessment of bigheaded carps (Hypophthalmichthys spp.) for the Great Lakes Basin. DFO Can Sci Advis Sec Res Doc 2011/114. Available: http://pubs.er.usgs.gov/publication/70039013. Accessed 2013 Dec 20.
  40. 40. Jerde CL, Mahon AR, Chadderton WL, Lodge DM (2011) “Sight-unseen” detection of rare species using environmental DNA. Conserv Lett 4:150–157
  41. 41. Amberg JJ, McCalla SG, Miller L, Sorensen P, Gaikowski MP (2013) Detection of environmental DNA of Bigheaded Carps in samples collected from selected locations in the St. Croix River and in the Mississippi River: U.S. Geological Survey Open-File Report 2013–1080. Available: http://pubs.usgs.gov/of/2013/1080. Accessed 2013 Dec 20.
  42. 42. Lindquist HDA (2011) Taking the Hay Out of the Haystack: Collecting and Processing Water Samples. In:Sen K, Ashbolt NJeditors. Environmental Microbiology: Current Technology and Water Applications. Norfolk, UK: Caister Academic Press. pp. 39–64.
  43. 43. Coyne KJ, Hutchins DA, Hare CE, Cary SC (2001) Assessing temporal and spatial variability in Pfiesteria piscicida distributions using molecular probing techniques. Aquat Microb Ecol 24:275–285
  44. 44. Coyne KJ, Handy SM, Demir E, Whereat EB, Hutchins DA, et al. (2005) Improved quantitative real-time PCR assays for enumeration of harmful algal species in field samples using an exogenous DNA reference standard. Limnol Oceanogr 3:381–391
  45. 45. Li SF, Xu JW, Yang QL, Wang CH, Chen Q, et al. (2009) A comparison of complete mitochondrial genomes of silver carp Hypophthalmichthys molitrix and bighead carp Hypophthalmichthys nobilis: implications for their taxonomic relationship and phylogeny. J Fish Biol 74:1787–1803
  46. 46. Kutyavin IV, Afonina IA, Mills A, Gorn VV, Lukhtanov EA, et al. (2000) 3′-minor groove binder-DNA probes increase sequence specificity at PCR extension temperatures. Nucleic Acids Res 28:655–661
  47. 47. Yao Y, Nellåker C, Karlsson H (2006) Evaluation of minor groove binding probe and Taqman probe PCR assays: Influence of mismatches and template complexity on quantification. Mol Cell Probes 20:311–316
  48. 48. Ye J, Coulouris G, Zaretskaya I, Cutcutache I, Rozen S, et al. (2012) Primer-BLAST: A tool to design target-specific primers for polymerase chain reaction. BMC Bioinformatics 13:11
  49. 49. Champlot S, Berthelot C, Pruvost M, Bennett EA, Grange T, et al.. (2010) An efficient multistrategy DNA decontamination procedure of PCR reagents for hypersensitive PCR applications. PLoS One 5. doi:doi:https://doi.org/10.1371/journal.pone.0013042..
  50. 50. Mifflin TE (2007) Setting up a PCR laboratory. Cold Spring Harbor Protocols. Cold Spring Harbor, NY, USA: Cold Spring Harbor Laboratory Press, Vol. 2007:5–14
  51. 51. Ballantyne KN, van Oorschot R a H, Mitchell RJ (2008) Locked nucleic acids in PCR primers increase sensitivity and performance. Genomics 91:301–305
  52. 52. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ (1990) Basic local alignment search tool. J Mol Biol 215:403–410
  53. 53. Ellison SLR, English CA, Burns MJ, Keer JT (2006) Routes to improving the reliability of low level DNA analysis using real-time PCR. BMC Biotechnol 6:33
  54. 54. Liu H, Chen Y (2003) Phylogeny of the East Asian cyprinids inferred from sequences of the mitochondrial DNA control region. Can J Zool 81:1938–1946
  55. 55. Kibbe WA (2007) OligoCalc: an online oligonucleotide properties calculator. Nucleic Acids Res 35:W43–6
  56. 56. Bellete B, Flori P, Hafid J, Raberin H, Tran Manh Sung R (2003) Influence of the quantity of nonspecific DNA and repeated freezing and thawing of samples on the quantification of DNA by the Light Cycler. J Microbiol Methods 55:213–219
  57. 57. Newcombe RG (1998) Two-sided confidence intervals for the single proportion: comparison of seven methods. Stat Med 17:857–872
  58. 58. R Core Team (2014) R: A Language and Environment for Statistical Computing.
  59. 59. Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, et al. (2009) The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments. Clin Chem 55:611–622
  60. 60. Kennedy S, Oswald N (Eds.). (2011). PCR Troubleshooting and Optimization: The Essential Guide. Caister Academic Press, Norfolk, UK.
  61. 61. Deagle BE, Eveson JP, Jarman SN (2006) Quantification of damage in DNA recovered from highly degraded samples - a case study on DNA in faeces. Front Zool 3:11
  62. 62. Asian Carp Regional Coordinating Committee (2013) Asian Carp Regional Coordinating Committee website. Available: http://asiancarp.us/. Accessed 2013 May 1.
  63. 63. De LipthayJR, Enzinger C, Johnsen K, Aamand J, Sørensen SJ (2004) Impact of DNA extraction method on bacterial community composition measured by denaturing gradient gel electrophoresis. Soil Biol Biochem 36:1607–1614
  64. 64. Dempster EL, Pryor KV, Francis D, Young JE, Rogers HJ (1999) Rapid DNA extraction from ferns for PCR-based analyses. Biotechniques 27:66–68.
  65. 65. Mitchell KR, Takacs-Vesbach CD (2008) A comparison of methods for total community DNA preservation and extraction from various thermal environments. J Ind Microbiol Biotechnol 35:1139–1147
  66. 66. Wilson IG (1997) Inhibition and facilitation of nucleic acid amplification. Appl Environ Microbiol 63:3741–3751.
  67. 67. Hobbie JE, Daley RJ, Jasper S (1977) Use of nuclepore filters for counting bacteria by fluorescence microscopy. Appl Environ Microbiol 33:1225–1228.
  68. 68. Droppo IG (2006) Filtration in Particle Size Analysis. In:Meyers RAeditor. Encyclopedia of Analytical Chemistry. John Wiley & Sons, Ltd. pp. 1–16. doi:doi:https://doi.org/10.1002/9780470027318.a1506..
  69. 69. Sheldon RW (1972) Size separation of marine seston by membrane and glass-fiber filters. Limnol Oceanogr 17:494–498.
  70. 70. Siuda W, Güde H (1996) Determination of dissolved deoxyribonucleic acid concentration in lake water. Aquat Microb Ecol 11:193–202.
  71. 71. Niu C, Kebede H, Auld DL, Woodward JE, Burow G, et al. (2008) A safe inexpensive method to isolate high quality plant and fungal DNA in an open laboratory environment. 7:2818–2822.
  72. 72. Yuan S, Cohen DB, Ravel J, Abdo Z, Forney LJ (2012) Evaluation of methods for the extraction and purification of DNA from the human microbiome. PLoS One 7:e33865
  73. 73. Luna GM, Dell’Anno A, Danovaro R (2006) DNA extraction procedure: a critical issue for bacterial diversity assessment in marine sediments. Environ Microbiol 8:308–320
  74. 74. Herrera A, Cockell CS (2007) Exploring microbial diversity in volcanic environments: a review of methods in DNA extraction. J Microbiol Methods 70:1–12
  75. 75. Zhu F, Massana R, Not F, Marie D, Vaulot D (2005) Mapping of picoeucaryotes in marine ecosystems with quantitative PCR of the 18 S rRNA gene. FEMS Microbiol Ecol 52:79–92
  76. 76. Sun J, Yu Z, Gao Y, Zhou Q, Zhen Y, et al. (2010) Phytoplankton diversity in the East China Sea and Yellow Sea measured by PCR-DGGE and its relationships with environmental factors. Chinese J Oceanol Limnol 28:315–322
  77. 77. Hetzer A, Morgan HW, McDonald IR, Daughney CJ (2007) Microbial life in Champagne Pool, a geothermal spring in Waiotapu, New Zealand. Extremophiles 11:605–614
  78. 78. Hamilton KM, Tew IF, Atkinson RJA, Roberts EC (2011) Occurrence of the parasite genus Hematodinium (Alveolata: Syndinea) in the water column. J Eukaryot Microbiol 58:446–451
  79. 79. Turner CR, Barnes MA, Xu CCY, Jones SE, Jerde CL, et al. (2014) Particle size distribution and optimal capture of aqueous macrobial eDNA. Methods in Ecology and Evolution 5:676–684
  80. 80. DiMichele LJ, Lewis MJ (1993) Rapid, species-specific detection of lactic acid bacteria from beer using the polymerase chain reaction. J Am Soc Brew Chem 51:63–66
  81. 81. Stärk K, Nicolet J, Frey J (1998) Detection of Mycoplasma hyopneumoniae by air sampling with a nested PCR assay. Appl Environ Microbiol 64:543–548.
  82. 82. Horowitz AJ (1988) An examination of methods for the concentration of suspended sediment for direct metal analysis. In:Lichtenberg, J, Winter, J Weber, C, Fradkin Leditor. Chemical and Biological Characterization of Municipal Sludges, Sediments, Dredge Spoils, and Drilling Muds. American Society for Testing and Materials. pp. 102–113. doi:doi:https://doi.org/10.1520/STP26702S..
  83. 83. Nagy ZT (2010) A hands-on overview of tissue preservation methods for molecular genetic analyses. Org Divers Evol 10:91–105
  84. 84. Rogstad S (1992) Saturated NaCl-CTAB solution as a means of field preservation of leaves for DNA analyses. Taxon 41:701–708.
  85. 85. Thomson JA (2002) An improved non-cryogenic transport and storage preservative facilitating DNA extraction from “difficult” plants collected at remote sites. Telopea 9:755–760.
  86. 86. Burd AB, Jackson GA (2009) Particle Aggregation. Ann Rev Mar Sci 1:65–90
  87. 87. Liu H-H, Yang Y-R, Shen X-C, Zhang Z-L, Shen P, et al. (2008) Role of DNA in bacterial aggregation. Curr Microbiol 57:139–144
  88. 88. Zuur AF, Ieno EN, Elphick CS (2010) A protocol for data exploration to avoid common statistical problems. Methods Ecol Evol 1:3–14