Xiao Huang1, Xingyu Lin1, Katharina Urmann1, Lijie Li1, Xing Xie1,2, Sunny Jiang3, Michael R Hoffmann1. 1. Linde + Robinson Laboratories , California Institute of Technology , Pasadena , California 91125 , United States. 2. School of Civil and Environmental Engineering , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States. 3. Department of Civil and Environmental Engineering, Henry Samueli School of Engineering , University of California , Irvine , California 92697 , United States.
Abstract
Model coliphages (e.g., ΦX174, MS2, and PRD1) have been widely used as surrogates to study the fate and transport of pathogenic viruses in the environment and during wastewater treatment. Two groups of coliphages (F-specific and somatic) are being explored as indicators of viral fecal pollution in ambient water. However, the detection and quantification of coliphages still largely rely on time-consuming culture-based plaque assays. In this study, we developed an in-gel loop-mediated isothermal amplification (gLAMP) system enabling coliphage MS2 quantification within 30 min using standard laboratory devices. Viral particles (MS2) were immobilized with LAMP reagents in polyethylene glycol hydrogel, and then viral RNAs were amplified through a LAMP reaction. Due to the restriction effect of the hydrogel matrix, one viral particle would only produce one amplicon dot. Therefore, the sample virus concentrations can be determined based on the number of fluorescent amplicon dots using a smartphone for imaging. The method was validated by using artificially spiked and naturally contaminated water samples. gLAMP results were shown to correlate well with plaque assay counts ( R2 = 0.984, p < 0.05) and achieved similar sensitivity to quantitative reverse-transcription polymerase chain reaction (RT-qPCR; 1 plaque-forming unit per reaction). Moreover, gLAMP demonstrated a high level of tolerance against inhibitors naturally present in wastewater, in which RT-qPCR was completely inhibited. Besides MS2, gLAMP can also be used for the quantification of other microbial targets (e.g., Escherichia coli and Salmonella). Considering its simplicity, sensitivity, rapidity, and versatility, gLAMP holds great potential for microbial water-quality analysis, especially in resource-limited settings.
Model coliphages (e.g., ΦX174, MS2, and PRD1) have been widely used as surrogates to study the fate and transport of pathogenic viruses in the environment and during wastewater treatment. Two groups of coliphages (F-specific and somatic) are being explored as indicators of viral fecal pollution in ambient water. However, the detection and quantification of coliphages still largely rely on time-consuming culture-based plaque assays. In this study, we developed an in-gel loop-mediated isothermal amplification (gLAMP) system enabling coliphage MS2 quantification within 30 min using standard laboratory devices. Viral particles (MS2) were immobilized with LAMP reagents in polyethylene glycol hydrogel, and then viral RNAs were amplified through a LAMP reaction. Due to the restriction effect of the hydrogel matrix, one viral particle would only produce one amplicon dot. Therefore, the sample virus concentrations can be determined based on the number of fluorescent amplicon dots using a smartphone for imaging. The method was validated by using artificially spiked and naturally contaminated water samples. gLAMP results were shown to correlate well with plaque assay counts ( R2 = 0.984, p < 0.05) and achieved similar sensitivity to quantitative reverse-transcription polymerase chain reaction (RT-qPCR; 1 plaque-forming unit per reaction). Moreover, gLAMP demonstrated a high level of tolerance against inhibitors naturally present in wastewater, in which RT-qPCR was completely inhibited. Besides MS2, gLAMP can also be used for the quantification of other microbial targets (e.g., Escherichia coli and Salmonella). Considering its simplicity, sensitivity, rapidity, and versatility, gLAMP holds great potential for microbial water-quality analysis, especially in resource-limited settings.
Human pathogenic enteric
viruses (e.g., adenovirus, enterovirus,
and norovirus) found in domestic wastewater have been identified as
important causative agents responsible for a wide range of infections
in humans.[1] Previous studies suggest that
traditional fecal indicator bacteria (e.g., Escherichia coli and Enterococcus) do not adequately predict the
fate of human viral pathogens because they respond differently to
wastewater-treatment processes and environmental degradation processes
from viruses.[2] However, the direct detection
and quantification of specific viral pathogens in environmentalwater
samples is challenging due to methodological limitations.[3] Therefore, coliphages (viruses that infect E. coli cells) are being explored as indicators of actual
viral pathogens.[4] Coliphages are not pathogenic
to humans but are similar to pathogenic enteric viruses in terms of
size, morphology, surface properties, and genetic structures. Model
coliphages (e.g., ΦX174, MS2, and PRD1) are also widely employed
as process indicators to evaluate the viral removal efficiency of
various water treatment processes, such as sand filtration,[5] reverse osmosis,[6] UV,[7] and electrochemical disinfection.[8] In 2015, the U.S. Environmental Protection Agency (U.S.
EPA) initiated a criteria-development process considering the use
of F-specific and somatic coliphages as possible viral indicators
of fecal contamination in ambient water.[3]A variety of methods are available for bacteriophage detection.
These include traditional culture-based plaque assays and molecular-based
methods. Two culture-based methods were approved by the U.S. EPA for
coliphage monitoring in groundwater (U.S. EPA methods 1601 and 1602).
Depending on the incubation time, these methods require 18 to 72 h
to obtain the final results. A genetic modified E. coli strain has recently been developed to detect somatic coliphages
based on the color changes of the growth media triggered by the phage-mediated
release of intracellular enzyme β-glucuronidase. The method
reduces the culture time to between 3.5 and 5.5 h, which is by far
the fastest reported culture-based detection method.[9] In contrast, molecular-based methods, represented by quantitative
polymerase chain reaction (qPCR), provide better sensitivity, specificity,
and a much-shorter sample-to-result time (1 to 4 h).[10] Despite its wide acceptance, qPCR is limited by the reliance
on standard reference materials (standard curve) for quantification.
Unreliable and inconsistent commercial standard reference materials
were reported to affect the accuracy of qPCR quantification.[11,12] Also, qPCR is prone to inhibition caused by substances naturally
present in environmental samples (e.g., heavy metals and organic matter),
thereby leading to inaccurate target quantification or false-negative
results. Compared to qPCR, the cutting-edge digital PCR technique
has shown to be a more-robust solution for virus detection in environmental
samples.[11,13] A recent study by Cao et al. highlighted
that digital PCR was unaffected by humic acid (HA) at concentrations
up to 17.5 ng/μL, while the HA tolerance level of qPCR was only
0.5 ng/μL.[11] However, the implementation
of digital PCR methods to point-of-use applications is challenging
because it requires costly high-end instruments, a well-equipped laboratory
environment, and highly trained personnel to conduct the assay. These
factors severely restrict the method’s accessibility and adoption
in resource-limited settings.Alternatives to PCR-based nucleic
acid amplification and detection
techniques, isothermal amplification methods such as loop-mediated
isothermal amplification (LAMP),[14] helicase-dependent
amplification (HDA),[15] multiple-displacement
amplification (MDA),[16] and rolling circle
amplification (RCA),[17] offer the opportunity
to deliver the benefits of molecular assays beyond centralized laboratories.
With no need for thermal cycling, isothermal reactions are more suitable
for coupling with miniaturized, portable, and battery-powered “lab-on-a-chip”
platforms.[18] Initially described in 2000,[19] LAMP has become the most-popular isothermal
amplification technique, covering most microbial pathogens relevant
to sanitation.[20−22] LAMP is capable of amplifying a target DNA template
109 times in less than 60 min at a temperature around 65
°C.[19] Similar to PCR, LAMP products
can be detected by fluorescence using intercalating dyes (e.g., EvaGreen,
Sybr Green, and SYTO9) or with unaided eyes through turbidity changes
caused by magnesium pyrophosphate precipitation as a byproduct of
amplification.[14] Many portable devices
have been developed to facilitate the application of LAMP in point-of-care
disease diagnostics.[18,23] In contrast, the application
of LAMP in environmental studies is lagging behind, with recent work
by Martzy et al., who developed a LAMP assay for the detection of Enterococcus spp. in water, being a notable exception.[21] This is likely because most LAMP assays are
qualitative but microbial water-quality analysis generally requires
quantitative data. Although a few quantitative LAMP assays have been
reported in real-time or digital formats, they all require complex
instruments (i.e., real-time fluorescence detection devices)[24] or customized microfluidic chips (e.g., Slipchip[25] and DropChip),[26] making
them hard to be adopted by a broader user community.Our vision
is to take advantage of LAMP to develop a quantitative,
low-cost, and rapid coliphage detection tool that can be easily adopted
in resource-limited settings. Inspired by earlier work on in situ
PCR,[27] immobilization of microbes in hydrogels,[28] PCR amplification in polyacrylamide gels,[29] and MDA amplification in polyethylene glycol
(PEG) hydrogels,[16] we have developed a
smartphone-based in-gel LAMP (gLAMP) system capable of quantifying
coliphage MS2 in environmentalwater samples within 30 min. gLAMP
requires no specialized equipment, no microfluidic chips, and limited
personnel training. It is worth to mention that the gLAMP system is
not restricted to MS2 detection. It is a nucleic acid amplification
testing platform, like qPCR, that can also be used for the quantification
of many other microbial targets (e.g., E. coli and Salmonella).
Materials and Methods
Model Coliphage MS2 Preparation
Coliphage MS2 (ATCC
15597-B1) was chosen as the model virus for the method development.
For phage propagation, 0.1 mL [107 plaque-forming units
(PFU)/mL] of MS2 was inoculated into 20 mL of actively growing E. coli-3000 (ATCC 15597) host suspension in Luria–Bertani
medium. The infected bacteria were continuously aerated at 37 °C
for 36 h. The host-associated MS2 suspension was then centrifuged
at 3000g for 10 min to pellet the bacterial cells
and debris. The supernatant, containing the MS2 virions, was further
purified by 0.2 μm syringe filter (GE Whatman, Pittsburgh, PA).
The filtrate was diluted 1000× in 1× PBS (pH of 7.5) (Corning,
New York, NY) and used as MS2 stock for seeding studies. The concentration
of MS2 stock was titrated by the double-agar-layer method.[30] An AllPrep PowerViral DNA/RNA Kit (Qiagen, Germantown,
MD) was used for MS2 RNA extraction per the manufacturer’s
protocol.
gLAMP Assay Design
Two types of hydrogels were initially
tested as the matrix for gLAMP. The polyacrylamide (PA) gel was formed
through the cross-linking between acrylamide and bis-acrylamide (acrylamide/Bis
19:1) (Bio-Rad, Hercules, CA) using 0.05% (w/v) ammonium persulfate
(Bio-Rad, Hercules, CA) as initiator and catalyzed by 0.05% (w/v)
tetramethylethylenediamine (TEMED) (Bio-Rad). The PEG gel was formed
through Michael addition between the four-arm PEG acrylate [molecular
weight (MW) of 10 000] and thiol-PEG-thiol (MW of 3400; Laysan
Bio, Arab, AL) at a mole ratio of 1:2. The MS2 LAMP primers and probes
originally developed by Ball et al.[31] were
used and optimized in the current study (Table S1). For each gLAMP assay (25 μL), the optimized hydrogel
reaction mix had the following composition: 10% (w/v) hydrogel, 12.5
μL of 2×WarmStart LAMP Mastermix (a blend of Bst 2.0 WarmStart DNA polymerase and WarmStart RTx reverse transcriptase;
New England Biolabs, Ipswich, MA), 1.25 μL of 20× virus
primer mix (the final concentrations of F3/B3, FIP/BIP and LF/LB were
0.2, 1.6, and 0.4 μM, respectively), and 2 μL of MS2 RNA
templates or 2 μL of water sample. For reactions using the complementary
fluorescent probe and quencher primers, quencher primer (qFIP-3′IBFQ)
was added (final concentration 3.2 μM) when fluorophore-labeled
primer (5′FAM-FIP) was used to substitute the regular FIP primer.
The above-described 25 μL of hydrogel reaction mix was loaded
into an in situ PCR frame seal chamber (9 × 9 mm; Bio-Rad) on
a glass slide and then covered with a transparent qPCR film (Sorenson,
Salt Lake City, UT). The hydrogel was polymerized at room temperature
(21 °C) for 5–15 min and then incubated on a PCR machine
(MJ Research PTC-100, Watertown, MA) or a mini dry bath (Benchmark,
Edison, NJ) at 65 °C for 25 min. After amplification, the gel
was stained with 0.5× LAMP dye (included in the WarmStart LAMP
kit) in the dark for 15 min and then washed twice with 2× TE
buffer (pH of 7.8; Corning, New York, NY). For reactions using the
complementary fluorescent probe and quencher primers, no post-reaction
staining was needed. The slides were illuminated with an E-Gel Safe
Imager (Invitrogen, Carlsbad, CA), and the amplicon dots were documented
with an iPhone 6s Plus. To verify the sensitivity of the smartphone
detection system, the slides were also imaged using a fluorescence
microscope (Leica DMi8; Leica Co., Germany).
gLAMP Assay Optimization
Initial gLAMP development
was carried out using extracted MS2 viral RNA. Assays were conducted
to find the optimal staining strategy (post-reaction staining with
LAMP dye or using fluorescent probe), incubation time (20, 25, and
30 min), and assay dynamic range (low, 1–20 copies per reaction;
medium, 20–200 copies per reaction; and high, 200–2000
copies per reaction). Subsequently, with the intention of simplifying
the RNA extraction step, we also explored simple heating (95 °C,
5 min) as a pretreatment procedure or direct detection of MS2 viral
particles without RNA extraction. The assay sensitivity and dynamic
range were compared to RT-qPCR using Eppendorf RealPlex2 (Hamburg,
Germany). The primers and probe and reaction conditions of the one-step
RT-qPCR are provided in Table S2.
Tolerance
of gLAMP to Inhibitors Present in Environmental Water
Samples
A total of three environmentalwater samples were
tested in the present study to evaluate the tolerance of gLAMP to
inhibitors naturally present in environmental wasters. Lake water
(LW) was collected from Echo Park Lake (Los Angeles, CA), which functions
primarily as a detention basin in the city’s storm-drain system
while providing recreational benefits and wildlife habitat. Pond water
(PW) was collected from the Turtle Pond at the California Institute
of Technology (Caltech). Wastewater (WW) was collected from the sedimentation
and storage tank of a pilot-scale solar-powered mobile toilet system
also located on the Caltech campus. WW is composed of urine, feces,
and hand-washing and toilet-flushing water. More details about the
design and operational conditions of the toilet system were reported
in previous studies.[8,32] Basic water-quality parameters
of these samples are summarized in Table S3. The dissolved organic matter (DOM) in the environmental samples
were characterized by excitation–emission matrix (EEM) using
a fluorescence spectroscopy (Shimadzu RF-6000, Kyoto, Japan). Corrected
EEMs were generated from raw scans (excitation wavelengths: 250–550
nm, 5 nm interval; emission wavelengths: 300–600 nm, 2 nm interval)
and used to estimate the various DOM components (see Figure S5 for a graphical illustration of these components).
The concentrations of indigenous MS2 (without preconcentration) in
all these samples were below the detection limit of plaque assays
(1 PFU/mL) and RT-qPCR (1 plaque-forming unit per reaction). Therefore,
pure cultured MS2 was spiked to these samples and a PBS buffer solution
at the final concentration of 2 × 103-2 × 104 PFU/mL (equaling 10–100 plaque-forming unit per reaction).
Spiked water samples were allowed to equilibrate for 1 h before being
directly analyzed with gLAMP, in-tube real-time LAMP (see Table S1 for more details), and RT-qPCR without
RNA extraction. The MS2-spiked PBS served as a control because no
inhibition was expected in this buffer solution. Inhibition effect
was evaluated by comparing results from environmental samples with
those obtained from PBS: in gLAMP, inhibition was reflected as fewer
fluorescent dot counts in environmental samples than those in PBS,
while for in-tube LAMP and qPCR, it was shown as increased time-to-detection
and larger quantitation cycle (Cq) values,
respectively.
Detection of MS2 in Primary Effluent Samples
To demonstrate
the detection of MS2 in nonspiked natural water, primary effluent
wastewater sample was collected from a local wastewater treatment
plant serving 150 000 people. A 20 mL water sample was filtered
with 0.22 μm syringe filters (GE Whatman, Pittsburgh, PA) to
remove bacteria and debris before further analysis. For double-layer
plaque assays,[30] F-specific coliphages
were enumerated using E. coli Famp (ATCC 700891)
as the bacterial host, while E. coli C3000 (ATCC
15597) was used for total (somatic and F-specific) coliphage enumeration.
A total of 15 mL of the filtrate was further concentrated to 150 μL
using an Amicon Ultra-15 Centrifugal Filter (30 KDa nominal molecular
weight limit) (Millipore, Burlington, MA). Virus RNA was extracted
from 100 μL of concentrate using the AllPrep PowerViral DNA/RNA
Kit (Qiagen, Germantown, MD) and then analyzed by gLAMP and RT-qPCR.
Results and Discussion
Gel Selection
Clear polyacrylamide
gels were formed
within 10–15 min, while the formation of PEG gel was faster,
taking 3–5 min at alkaline pH (the pH of the LAMP reaction
mix is 8.8). Both gels showed no fluorescent background, and gLAMP
was successfully carried out in either case (Figure ). We found that when the amplicon dot sizes
were smaller than 20 μm (diameter), the detection would require
a fluorescence microscope. To facilitate the results reading with
a smartphone camera while still maintaining a practical assay dynamic
range, dot sizes between 50 to 200 μm were preferred in the
current study. The size of amplicon dots was mainly decided by the
restriction effect of the gel matrix. Ideally, the gel matrix should
allow the free diffusion of small molecules (molecular weight (MW)
of <100 kDa) such as water, ions, primers (<50 bp, MW < 15
kDa), and enzymes (Bst: 67 kDa) but restrict the
movement of DNA and RNA templates and the amplicons (>150 bp, MW
>
100 kDa). This can be achieved by tuning the gel cross-linking degree
and the length of cross-linkers to control the gel mesh size and,
thus, the macroscopic gel properties (i.e., diffusion). Mitra et al.
found that 514, 234, and 120 bp templates produced uniform PCR amplicon
dots of 100, 400, and 800 μm in polyacrylamide hydrogel, respectively.[29] It should be noted that, unlike single length
PCR amplicons, products of LAMP are a mixture of concatemers of the
target region with various sizes. Based on the agarose gel electrophoresis
profile (Figure S1), the shortest MS2 LAMP
amplicons were about 90 bp, while the longest amplicons were up to
several thousand base pairs. During gLAMP, longer amplicons were retarded
by the hydrogel matrix, but shorter amplicons diffused away from the
initial templates (the center of the dot) and served as templates
for further amplification until they reached the diffusion limit or
the LAMP reagents (e.g., enzyme, primer, and dNTP) in the vicinity
were depleted. Due to the stochastic nature of LAMP, dots of different
sizes were produced in the hydrogels. According to previous studies,
the mesh size of the 2 hydrogels were similar and in the range of
20–25 nm.[33,34] However, the amplicon dots in
the PEG gel (Figure B) were significantly smaller and more-uniform than those formed
in polyacrylamide gel (Figure A). The results showed that the PEG gel had a better restriction
effect on the smaller amplicons. Therefore, besides size exclusion,
other interactions (i.e., charge interaction) between the polymers
and the DNA templates may also affect the diffusion coefficient. Given
the better template-restriction effect, PEG hydrogel was chosen for
further method development.
Figure 1
gLAMP hydrogel selection. Assays using (A) polyacrylamide
and (B,
C) polyethylene glycol hydrogels. LAMP amplicon dots were stained
with 0.5× LAMP dye (A, B) after incubation or (C) using the QUASR
primers without post-reaction staining. The images were taken by an
iPhone 6s Plus. Extracted MS2 RNAs were used as templates, and the
reaction time was 25 min.
gLAMP hydrogel selection. Assays using (A) polyacrylamide
and (B,
C) polyethylene glycol hydrogels. LAMP amplicon dots were stained
with 0.5× LAMP dye (A, B) after incubation or (C) using the QUASR
primers without post-reaction staining. The images were taken by an
iPhone 6s Plus. Extracted MS2 RNAs were used as templates, and the
reaction time was 25 min.
gLAMP Amplicon Staining Strategies
Clear MS2 amplicon
dot profiles were obtained through post-reaction gel staining with
intercalating LAMP dye (Figure B). Similar profiles were obtained in gLAMP assays for E. coli and Salmonella (see Table S4 and Figure S2 for more details). The
results highlight the feasibility of adapting established qualitative
LAMP assays into quantitative assays via the gLAMP system. However,
opening the frame seal chamber and staining the gel after amplification
added extra complexity to the assay and may result in amplicon contamination
to the surrounding working environment. We also found that adding
intercalating fluorescent dyes into the reaction mix before heat incubation
was not an option because it resulted in a high level of fluorescent
background.To develop a simpler gLAMP without the need for
post-reaction staining, a primer-dye and primer-quencher duplex,
previously reported as quenching of unincorporated amplification signal
reporters (QUASR) by Ball et al.,[31] was
adopted and optimized in this study. In QUASR, the forward internal
primer (FIP) is labeled with a fluorophore at the 5′ prime
end (5′FAM-FIP). The probe is quenched by a complementary primer
with a quencher (Iowa Black FQ) at the 3′ prime end (qFIP-3′IBFQ).
Because the melting temperature (Tm) of
the complex is 5–10 °C lower than the reaction temperature
(65 °C), the 5′FAM-FIPs are released and behave like regular
FIPs during the LAMP reaction. 5′FAM-FIPs are incorporated
into the LAMP amplicons when there are target templates present in
the sample. After the reaction, extra unincorporated 5′FAM-FIPs
are quenched again by the complementary quencher primer qFIP-3′IBFQs.
In contrast, 5′FAM-FIPs incorporated into LAMP amplicons would
not be quenched because they already form a stable double-strand DNA
structure during the LAMP reaction. Compared with nonspecific DNA
intercalating dyes (i.e., the LAMP dye), QUASR significantly reduces
the issue of false positive results associated with LAMP assays.[31] However, QUASR cannot turn into a quantitative
assay in a real-time LAMP scheme because the fluorescent intensity
of the reaction mix is constantly at the highest level (all 5′FAM-FIP
released) instead of progressively increasing during heat incubation.
Therefore, it can only be used as a qualitative assay for end point
determination. In preliminary experiments, we found that the QUASR
primers did not reduce gLAMP amplification efficiency, although a
higher concentration of quencher primer (2× of the complementary
probe primer) was needed to maintain a clean gel background at the
end of the gLAMP reaction. These results suggest that the PEG gel
allowed the free movement of the dye-labeled short oligonucleotides,
even though the diffusion coefficient would be smaller in the gel
matrix than that in a solution. As 5′FAM-FIPs were incorporated
into the amplicons and accumulated around the initial templates, bright
and defined amplicon dots could be directly visualized with a smartphone
camera upon blue light exposure (Figure C). Therefore, QUASR primers were used for
further gLAMP optimization.
gLAMP optimization
Amplicon dots
were visible as early
as 20 min under a fluorescence microscope (Figure A). The dots developed to about 156 ±
33 μm (diameter) after 25 min, and the fluorescence intensity
was strong enough to be detected with a smartphone camera (Figure ). Although the amplicon
dots kept increasing in size and reached 212 ± 50 μm after
30 min, the number of dots stayed similar to those at 25 min. Hence,
25 min was chosen as optimal reaction time for MS2 gLAMP. The amplicon
dot sizes showed no significant difference at low (1–20 copies
per reaction) and medium template (20–200 copies per reaction)
concentrations (Figure B). Under these conditions, amplicon dots were far from each other
and had very limited interactions. The dot sizes represented the largest
size that the amplicons could develop within the given reaction time,
while the size variability in a single gel may result from variable
initial template conformation, the degree of template denaturation
or from local inhomogeneities in the hydrogel structure (due to the
free dangling ends, self-looping, or entanglements of macromers).
In contrast, the size of amplicon dots at high concentration (200–2000
copies per reaction) were significantly smaller than those formed
at the low and medium concentrations (Figure B). Similar template concentration-dependent
amplicon size variations were reported for an in-gel MDA assay.[35] Xu et al. concluded that the smaller amplicon
sizes at higher template concentration was due to a global autoinhibition,
especially due to a drop in pH.[35] In gLAMP,
however, we think that local competition for enzymes, primers, and
dNTP existed, as clear separations were developed among the amplicons
close to each other (Figure G,H). The smaller amplicon sizes plus the clear boundaries
developed at higher template concentration benefited the assay’s
dynamic range by improving fluorescent dot identifiability. For smartphone
camera reading, the optimal assay dynamic range was 1–1000
dots per reaction. When a fluorescence microscope was used for reading
results, each gel can accommodate as many as 5000 dots without compromising
the precision. Automatic amplicon analysis for microscope and smartphone
images was realized by CellProfiler 2.2.0. The results of each key
step are shown in Figure S3. With appropriate
threshold settings, the difference between automatic and manual counting
was less than 5%.
Figure 2
gLAMP optimization. Effect of (A) reaction time and (B)
template
concentration on the size of QUASR gLAMP amplicon dots. Box plots
with the original data of the amplicon dot diameters on the left side.
Different letters indicate significant differences at the p < 0.05 level according to one-way ANOVA followed by
a Tukey’s post-hoc test. Template concentration definition:
low, 1–20 copies per reaction; medium, 20–200 copies
per reaction; and high, 200–2000 copies per reaction. A medium
template concentration was used in panel A, while the reaction time
shown in panel B was 25 min. Extracted MS2 RNA was used as templates.
Figure 3
Impact of template concentration on the size
of gLAMP amplicon
dots. (A, B) No template control; (C, D) low template concentration
of 1–20 copies per reaction; (E, F) medium template concentration
of 20–200 copies per reaction; and (G, H) high template concentration
of 200–2000 copies per reaction. Top panel images were taken
by an iPhone 6s Plus, while the bottom panel images were taken by
fluorescent microscope for the same gel (scale bar of 1 mm). Extract
MS2 RNA was used as templates, and the reaction time was 25 min.
gLAMP optimization. Effect of (A) reaction time and (B)
template
concentration on the size of QUASR gLAMP amplicon dots. Box plots
with the original data of the amplicon dot diameters on the left side.
Different letters indicate significant differences at the p < 0.05 level according to one-way ANOVA followed by
a Tukey’s post-hoc test. Template concentration definition:
low, 1–20 copies per reaction; medium, 20–200 copies
per reaction; and high, 200–2000 copies per reaction. A medium
template concentration was used in panel A, while the reaction time
shown in panel B was 25 min. Extracted MS2 RNA was used as templates.Impact of template concentration on the size
of gLAMP amplicon
dots. (A, B) No template control; (C, D) low template concentration
of 1–20 copies per reaction; (E, F) medium template concentration
of 20–200 copies per reaction; and (G, H) high template concentration
of 200–2000 copies per reaction. Top panel images were taken
by an iPhone 6s Plus, while the bottom panel images were taken by
fluorescent microscope for the same gel (scale bar of 1 mm). Extract
MS2 RNA was used as templates, and the reaction time was 25 min.For nucleic-acid-based detection
methods, a simple DNA and RNA
extraction procedure is preferred in point-of-use applications. In
gLAMP analysis of MS2-spiked PBS solution, crude samples, samples
after a simple heating (95 °C, 5 min) pretreatment, and samples
extracted with commercial RNA extraction kit showed no significant
differences in terms of amplicon dot counts (Figure S4, ANOVA, p > 0.05), dot sizes, and the
amplicon
fluorescence intensity. Simple heating pretreatment was previously
reported to improve the detection of bacteria in LAMP assays because
the compromised cell membranes were more-permeable to LAMP reagents
and the denatured DNA can facilitate the strand displacement activity
of the Bst enzyme.[36] However,
the current results indicate that the LAMP primers and enzymes (RTx
reverse transcriptase and Bst 2.0 DNA polymerase)
were able to penetrate the viral capsid at the reaction temperature
(65 °C), and denaturing may not be necessary because the viral
genome is much smaller compared to that of bacteria.To evaluate
the sensitivity of direct gLAMP, we compared it with
traditional plaque assays and RT-qPCR (Figure ). gLAMP amplicon counts showed a good correlation
to plaque assay counts (R2 = 0.984, p < 0.05). The regression line (slope of 1.036 and intercept
of −0.290) indicates that 1 gel amplicon dot was closely equal
to 1 PFU. gLAMP achieved a similar lower limit of detection (0.7 plaque-forming
units per reaction) compared to that of RT-qPCR (0.4 plaque-forming
units per reaction), while RT-qPCR still showed the advantage of a
larger upper detection limit. As discussed before, the dynamic range
of gLAMP (1–1000 plaque-forming units per reaction) could be
increased by reducing the amplicon dot sizes. Accommodating more amplicon
dots in a single gel would be desirable for applications such as mutation
detection and in-gel sequencing.[37] However,
the ability to distinguish amplicon dots from other contaminating
fluorescent signals (i.e., autofluorescent substances) may suffer
at small dot sizes. Consequently, the precision at low concentration
(<20 plaque-forming units per reaction) would be compromised.[16] Because high-concentration samples can be easily
diluted, we think maintaining the precision at low concentration is
more valuable than expanding the upper detection limit of gLAMP.
Figure 4
Direct
detection of MS2 in PBS solution without RNA extraction.
Correlation analysis indicates significant linear relationship between
direct gLAMP counts with traditional plaque assay counts (r2 = 0.984, p < 0.05). A
similar relationship was also found between log10-transformed
plaque assay counts and the Cq values of RT-qPCR (r2 = 0.994, p < 0.05). Error bars represent
the standard deviation of triplicate independent experiments.
Direct
detection of MS2 in PBS solution without RNA extraction.
Correlation analysis indicates significant linear relationship between
direct gLAMP counts with traditional plaque assay counts (r2 = 0.984, p < 0.05). A
similar relationship was also found between log10-transformed
plaque assay counts and the Cq values of RT-qPCR (r2 = 0.994, p < 0.05). Error bars represent
the standard deviation of triplicate independent experiments.
Tolerance to Inhibitors
Enzyme-driven nucleic-acid
amplification processes are susceptible to various inhibitory substances
(e.g., organic matter and heavy metals) commonly found in environment
samples.[11] WW was yellow-brownish and had
a chemical oxygen demand (COD) level of 821 mg/L, representing highly
contaminated water. LW and PW were clear and contained fewer organic
contaminants, with COD levels of 63 and 75 mg/L, respectively. gLAMP
assays were successfully carried out in all MS2-spiked environmentalwater samples (spiking levels of 2 × 103 to 2 ×
104 PFU/mL, equaling 10–100 plaque-forming units
per reaction) without RNA extraction. No inhibition was observed because
there were no significant differences between the environmental samples
and the PBS control in terms of amplicon dot counts (p > 0.05) (Figure A) as well as dot morphologies. For in-tube real-time LAMP assay,
no significant inhibition was found in LW and PW (p > 0.05). However, 4 out of 6 in-tube real-time LAMP assays were
completely inhibited in WW, as no amplification was observed at the
end of the reaction (60 min) (Figure B). For RT-qPCR, the assay was completely inhibited
in WW because the Cq was beyond the lower
limit of detection (Cqmax = 40) (Figure C). In general, LAMP
assays have a more-robust chemistry than PCR in terms of handling
complex crude samples because: (1) it employs six primers to initiate
the amplification compared with two primers in PCR, (2) the smaller
67 kDa Bst polymerase may enter target cells and
viral particles more easily than the 94 kDa Taq DNA polymerase used
in PCR,[38] and (3) the yields of LAMP (10–20
micrograms per reaction) are about 50–100 times higher than
those of PCR (0.2 micrograms per reaction).[22] Several studies have reported LAMP assays with crude samples.[39,40] It should be noted that, similar to the in-tube real-time LAMP assay
demonstrated in this study, many of these assays are qualitative or
semiquantitative. The use of crude samples may not compromise the
lower limit of detection (still detectable), but it usually resulted
in an increase in the time-to-detection[39] or a decrease in the signal-to-noise ratio[40] at the end of the reaction. In RT-qPCR, similar delayed amplification
would result in the increase of Cq values
and, therefore, underestimate the target concentration.
Figure 5
Direct detection
of MS2 in spiked PBS, lake water (LW), pond water
(PW), and wastewater (WW) without RNA extraction. (A) gLAMP counts,
(B) time to detection in in-tube real-time LAMP, and (C) Cq values
in RT-qPCR. Error bars represent standard errors of the means. Different
letters indicate significant differences at the p < 0.05 level according to one-way ANOVA followed by a Tukey’s
post-hoc test. MS2 was spiked at the concentration of 2 × 103 to 2 × 104 PFU/mL, equaling 10–100
plaque-forming units per reaction.
Direct detection
of MS2 in spiked PBS, lake water (LW), pond water
(PW), and wastewater (WW) without RNA extraction. (A) gLAMP counts,
(B) time to detection in in-tube real-time LAMP, and (C) Cq values
in RT-qPCR. Error bars represent standard errors of the means. Different
letters indicate significant differences at the p < 0.05 level according to one-way ANOVA followed by a Tukey’s
post-hoc test. MS2 was spiked at the concentration of 2 × 103 to 2 × 104 PFU/mL, equaling 10–100
plaque-forming units per reaction.Figure S5 shows the EEM profiles
of
the LW, PW, and WW samples. The primary fluorescent DOM peaks for
PW and WW were the C-peak and the M-peak, which were associated with
humic-like components. The concentration of humic-like DOM in WW was
10–15 times higher than that in LW and PW, which is in agreement
with the COD and DOC data. WW also contained low levels of proteinaceous
material, as represented by the B-peak and the T-peak. Considering
the source of WW, the inhibitors were likely to be organic in origin,
similar to those found in urine and feces samples. Urea present in
urine samples is known to prevent the noncovalent binding of polymerase
enzymes and interferes with primer annealing.[41] The inhibition concentration of urea in PCR was as low as 50 mM,[42] while the tolerance of LAMP to urea was reported
to be up to 1.8 M.[43] However, the better
performance of the gLAMP in WW cannot be simply attributed to a more-robust
LAMP chemistry. In fact, we speculate that the gel matrix played a
more-important role in the enhanced tolerance against inhibitors in
WW. First, similar to digital PCR, gLAMP is an end-point amplification-detection
assay, counting the final amplification products. Therefore, its quantification
is less-affected by amplification efficiency. Second, because the
DNA and RNA templates were spatially isolated, substrate competition
during amplification should be minimized. Moreover, depending on their
molecular weight, the movement of large-molecular-weight organic inhibitors
would be restricted by the gel matrix, and thus, the local inhibitor
concentrations close to the templates are reduced.
MS2 in Primary
Effluent
MS2 was successfully detected
in the RNA extracted from the primary effluent sample by gLAMP (7.8
± 7.7 PFU/mL). A similar result was obtained in RT-qPCR (1.13
± 0.98 PFU/mL), which confirms the sensitivity and specificity
of the gLAMP assay. However, gLAMP detection of MS2 in the concentrated
primary effluent sample without RNA extraction was failed due to the
interference of co-concentrated autofluorescent substances (a highly
fluorescent background). This issue could be alleviated by using other
virus concentration methods (i.e., the adsorption–elution method);[44,45] however, the optimization of the concentration step to facilitate
the direct detection of MS2 in this specific sample is beyond the
scope of this work. Culture-based plaque assays generated much higher
counts using E. coli C3000 [(6.9 ± 0.4) ×
103 PFU/mL] and E. coli Famp [(2.6 ±
0.7) × 103 PFU/mL] as host cells. The discrepancy
was because the bacterial hosts used in culture-based plaque assays
were susceptible to a wide range of coliphages contained in the sample,
while the gLAMP and RT-qPCR assays were specific to MS2.
Perspectives
of gLAMP in Environmental Monitoring
In
a recent meta-analysis, Amarasiri et al. concluded that MS2 is the
best validation and operational monitoring indicator for membrane
bioreactors (MBR) because the log removal values (LRVs) of MS2 in
MBR were shown to be lower than those of human enteric viruses, while
other bacteriophages (T4, somatic, and F-specific) provided higher
LRVs.[46] MS2 may also be employed as a microbial
tracer in field studies to understand the environmental fate of enteric
viruses.[47,48] The MS2 gLAMP assay, demonstrated in this
study, can be readily used for these type of applications. In terms
of using coliphages as indicators for fecal contamination, gLAMP assays
targeting certain groups of coliphages would be more useful than an
assay specific to MS2. It was suggested that F-specific RNA coliphage
genogroups II (GII) and (GIII) are more frequently found in human
excreta, while the other two genogroups (GI and GIV) are specific
to animal excreta.[49] Similar to RT-qPCR
assays detecting individual F-specific RNA genogroup,[49] the design of new gLAMP assays targeting similar genes
is feasible in the future.Currently, only one molecular-based
method (U.S. EPA method 1611, qPCR for Enterococcus) has been certified for ambient water-quality analysis. The high
capital investment and the complexity of data interpretation are likely
the main challenges thwarting the application of molecular-based detection
methods for routine microbial water quality analysis. Table S5 compares the gLAMP system with traditional
culture-based plaque assays and the cutting-edge digital PCR system.
As shown in the graphic abstract, gLAMP can be carried out with standard
laboratory devices. A portable hand-held heating and fluorescence
detection device is under development. Lyophilized LAMP reagents are
also being tested to facilitate the field-scale applications. Moreover,
gLAMP is noticeably faster than other available methods, taking less
than 30 min compared with 4 h for RT-qPCR and 24 h for plaque assays.
The amplified gel slides can be stored at room temperature for more
than 1 month without affecting the florescent-dot visualization (Figure S6). This indicates that the gel matrix
provides a good protection for the amplicons, which would allow for
sample shipment in case further analysis is required. Considering
its outstanding simplicity, sensitivity, rapidity, and versatility,
the gLAMP system presented in this study holds great potential for
microbial water-quality analysis, especially in resource-limited settings.
Authors: M Muniesa; E Ballesté; L Imamovic; M Pascual-Benito; D Toribio-Avedillo; F Lucena; A R Blanch; J Jofre Journal: Water Res Date: 2017-10-16 Impact factor: 11.236
Authors: Aashish Priye; Sara W Bird; Yooli K Light; Cameron S Ball; Oscar A Negrete; Robert J Meagher Journal: Sci Rep Date: 2017-03-20 Impact factor: 4.379
Authors: Keith J M Moore; Jeremy Cahill; Guy Aidelberg; Rachel Aronoff; Ali Bektaş; Daniela Bezdan; Daniel J Butler; Sridar V Chittur; Martin Codyre; Fernan Federici; Nathan A Tanner; Scott W Tighe; Randy True; Sarah B Ware; Anne L Wyllie; Evan E Afshin; Andres Bendesky; Connie B Chang; Richard Dela Rosa; Eran Elhaik; David Erickson; Andrew S Goldsborough; George Grills; Kathrin Hadasch; Andrew Hayden; Seong-Young Her; Julie A Karl; Chang Hee Kim; Alison J Kriegel; Thomas Kunstman; Zeph Landau; Kevin Land; Bradley W Langhorst; Ariel B Lindner; Benjamin E Mayer; Lee A McLaughlin; Matthew T McLaughlin; Jenny Molloy; Christopher Mozsary; Jerry L Nadler; Melinee D'Silva; David Ng; David H O'Connor; Jerry E Ongerth; Olayinka Osuolale; Ana Pinharanda; Dennis Plenker; Ravi Ranjan; Michael Rosbash; Assaf Rotem; Jacob Segarra; Stephan Schürer; Scott Sherrill-Mix; Helena Solo-Gabriele; Shaina To; Merly C Vogt; Albert D Yu; Christopher E Mason Journal: J Biomol Tech Date: 2021-09
Authors: Claudia Kolm; Roland Martzy; Manuela Führer; Robert L Mach; Rudolf Krska; Sabine Baumgartner; Andreas H Farnleitner; Georg H Reischer Journal: Sci Rep Date: 2019-01-23 Impact factor: 4.379
Authors: Christoph J Blohmke; Julius Muller; Malick M Gibani; Hazel Dobinson; Sonu Shrestha; Soumya Perinparajah; Celina Jin; Harri Hughes; Luke Blackwell; Sabina Dongol; Abhilasha Karkey; Fernanda Schreiber; Derek Pickard; Buddha Basnyat; Gordon Dougan; Stephen Baker; Andrew J Pollard; Thomas C Darton Journal: EMBO Mol Med Date: 2019-08-30 Impact factor: 12.137
Authors: Moshe E Jasper; Qiong Yang; Perran A Ross; Nancy Endersby-Harshman; Nicholas Bell; Ary A Hoffmann Journal: PLoS One Date: 2019-11-20 Impact factor: 3.240