Margot Olive1, Felix Moerman2,3, Xavier Fernandez-Cassi1, Florian Altermatt2,3, Tamar Kohn1. 1. Laboratory of Environmental Chemistry, School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Federale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland. 2. Department of Aquatic Ecology, EAWAG, Swiss Federal Institute of Aquatic Science and Technology, CH-8600 Dübendorf, Switzerland. 3. Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057 Zürich, Switzerland.
Abstract
Biological treatment of waterborne viruses, specifically grazing of viruses by protists, can enhance microbial water quality while avoiding the production of toxic byproducts and high energy costs. However, tangible applications are limited by the lack of understanding of the underlying mechanisms. Here, we examined the feeding behavior of Tetrahymena pyriformis ciliates on 13 viruses, including bacteriophages, enteric viruses, and respiratory viruses. Significant differences in virus removal by T. pyriformis were observed, ranging from no removal (Qbeta, coxsackievirus B5) to ≥2.7 log10 (JC polyomavirus) after 48 h of co-incubation of the protist with the virus. Removal rates were conserved even when protists were co-incubated with multiple viruses simultaneously. Video analysis revealed that the extent of virus removal was correlated with an increase in the protists' swimming speed, a behavioral trait consistent with the protists' response to the availability of food. Protistan feeding may be driven by a virus' hydrophobicity but was independent of virus size or the presence of a lipid envelope.
Biological treatment of waterborne viruses, specifically grazing of viruses by protists, can enhance microbial water quality while avoiding the production of toxic byproducts and high energy costs. However, tangible applications are limited by the lack of understanding of the underlying mechanisms. Here, we examined the feeding behavior of Tetrahymena pyriformis ciliates on 13 viruses, including bacteriophages, enteric viruses, and respiratory viruses. Significant differences in virus removal by T. pyriformis were observed, ranging from no removal (Qbeta, coxsackievirus B5) to ≥2.7 log10 (JC polyomavirus) after 48 h of co-incubation of the protist with the virus. Removal rates were conserved even when protists were co-incubated with multiple viruses simultaneously. Video analysis revealed that the extent of virus removal was correlated with an increase in the protists' swimming speed, a behavioral trait consistent with the protists' response to the availability of food. Protistan feeding may be driven by a virus' hydrophobicity but was independent of virus size or the presence of a lipid envelope.
Among
the many processes determining the fate of waterborne viruses
in natural and engineered systems, biological virus control is the
least understood.[1] Previous studies have
demonstrated that various microorganisms can contribute to virus removal,[2−6] though mechanistic insights are scarce. Of particular interest are
the interactions of viruses with protists, which are ubiquitous in
our aquatic environment and can serve a dual role in virus fate. On
the one hand, they can act as a virus reservoir[7] and thereby shield viruses from inactivating stressors
such as chemical disinfectants or UV light.[8] On the other hand, they can serve as antiviral agents.[9]Among protists, ciliates are an important
group due to their diversity
and abundance in both natural waters and wastewater.[10] Ciliate concentrations of 103 cells mL–1 and 105 cells mL–1 have been reported
in surface waters and in the mixed liquor of activated sludge, respectively.[11,12] Ciliates have been found to graze on echoviruses, polioviruses,
adenoviruses, and bacteriophages,[9,13−15] though not all viruses are equally affected. Both virus and protist
species determine whether or not a virus is susceptible to grazing,[4,6,15,16] and a single protist species (Tetrahymena spp.)
can exert varying effects on different viruses, including activation,[17] protection,[18] or
inactivation.[19]Virus susceptibility
to grazing may be driven by a protist’s
ability to sense and uptake their prey, or by its capacity to digest
it. The ciliate Tetrahymena thermophila (T. thermophila) was found to more efficiently graze on bacteria
exhibiting a low surface hydrophobicity.[20] Alternatively, grazing rates may be driven by prey size. For ciliates,
a linear relationship between the clearance rate and the prey size
was found for prey ranging between 100 nm and 30 μm.[21] Size and hydrophobicity thus stand out as prey
properties of interest. Removal rates may furthermore be influenced
by the presence of alternative prey. In a sample containing two viral
strains, a preferential uptake of type A2 myxovirus influenza over
coxsackievirus B5 by T. pyriformis was observed.[15] Similarly, selective feeding on specific bacterial
species by T. pyriformis was demonstrated.[22] In contrast, T. pyriformis did
not exhibit preferential uptake of bacteria over polystyrene latex
particles[23] or over clay.[24]The objective of this study was to characterize the
susceptibility
of a suite of viruses to removal by the model ciliate T. pyriformis(25,26) and to investigate the determinants that drive this
process. We hypothesized that virus susceptibility to removal increases
with increasing virus size and decreasing virus hydrophobicity and
that removal rates depend on the presence of alternative prey. We
co-incubated 13 different viruses with T. pyriformis alone or in combination, and removal rates were monitored and evaluated
with respect to virus size, presence of an envelope, and hydrophobicity.
Finally, we assessed the role of virus sensing by protists in determining
the extent of virus loss. Overall, this work provides novel insights
into the efficacy and mechanism of virus removal by protists and advances
our understanding of biological virus control.
Materials and Methods
Maintenance
of Tetrahymena pyriformis Cultures
Cultures
of Tetrahymena pyriformis (T.
pyriformis) were obtained from the Culture Collection of
Algae and Protozoa (CCAP no. 1630/1W) and axenically maintained in
75 cm2 cell culture flasks (TTP, Milian). The culture medium
used was proteose peptone yeast extract (PPYE), which consisted of
20.0 g of proteose peptone (Bacto peptone, Difco) and 2.5 g of yeast
extract (BioChemika) dissolved in 1 L of Milli-Q water, and autoclaved
and stored at 4 °C. The cultures were maintained in a 28 °C
incubator to promote ciliate growth.[27] Subcultures
were prepared every week by spiking 1 mL of the previous culture into
19 mL of fresh PPYE medium (total volume of 20 mL). General information
on the use of Tetrahymena as a model organism are
reported in Asai and Forney.[26]
Virus Propagation,
Purification, and Enumeration
Ten
mammalian viruses and three phages were included in this study. The
viruses chosen cover a range of sizes and genome types and include
both enveloped and non-enveloped species. An overview over the viruses
used in this study and their properties is given in Table S1.Mammalian viruses included echovirus 11 (E11),
coxsackievirus A9 (CVA9), coxsackievirus B5 (CVB5), human mastadenovirus
C type 2 (HAdV2), human rotavirus (RoV), JC polyomavirus (JCV), influenza
A virus (IAV), murine norovirus (MNV), murine hepatitis virus (MHV),
and murine sendai virus (SeV). Bacteriophages included T4, MS2, and
Qbeta. The production and purification of viral stock solutions is
described in the Supporting Information. Viral concentrations were quantified by (RT-)qPCR as described
below and were expressed as genomic copies per milliliter (GC mL–1). In addition, infectious concentrations were determined
for a subset of mammalian viruses (E11, CVA9, CVB5, HAdV2) by the
most probable number method (MPN) as described previously,[28] using five replicates and up to six dilutions
per sample. Bacteriophages were enumerated by plaque assay as described
elsewhere[29] (T4, MS2, and Qbeta). The limits
of quantification (LOQ) for each virus and phage by (RT-) qPCR, MPN,
or plaque assay are reported in Tables S2 and S4.
(RT-)qPCR Analyses
Viral nucleic
acids were extracted
from 140 μL samples using the QIAamp Viral RNA Mini Kit (Qiagen)
following the manufacturer’s instructions. Nucleic acids were
eluted in 60 μL of AVE buffer and stored at −20 °C
until analysis. Each batch of samples included a negative extraction
control (NEC), which was always negative. (RT-)qPCR analyses were
performed on a Mic Real-Time PCR system (Bio Molecular Systems). Primers
and probes, reaction volumes, as well as the thermocycling protocols
are detailed in Table S2. DNA was analyzed
using the TaqMan Environmental PCR Master Mix (Applied Biosystems,
cat. no. 4396838) or TB Green Advantage qPCR Premix (Takara, cat.
no. 639676). For RNA, RNA Ultrasense One-Step Quantitative RT-PCR
System (Invitrogen, cat. no.: 11732–927), or One Step SYBR
PrimeScript RT-PCR Kit (Takara, cat. no. RR066A) were used. Standard
curves for each viral target were generated by preparing 10-fold serial
dilutions of gblock gene fragments over a range of 10 to 1 ×
107 GC μL–1 (Integrated DNA Technologies)
in TE buffer (Invitrogen). All (RT-)qPCR reactions were performed
in duplicate, and each PCR run contained nontemplate controls (NTC)
which were always negative. Previous work has shown the absence of
PCR inhibition in our experimental protocol.[30]For pooled virus experiments, (RT-)qPCR assays for each virus
were checked against the other viruses included in a given experiment
to ensure the specificity of the assay.The micPCR software
(version 2.10.0) was used to acquire Cq values
and to quantify viral genomic copy concentrations. Pooled standard
curves were analyzed in R using the Generic qPCR Limit of Detection
(LOD)/Limit of Quantification (LOQ) calculator.[31] PCR efficiency, LOQ, R2, slope,
and intercept of the standard curves for each assay are reported in Table S2 along with a checklist of experimental
details as requested by the minimum information for publication of
quantitative real-time PCR experiments (MIQE) guidelines[32] (Table S3).
Co-incubation
Experiments
Prior to experimental use, T. pyriformis was washed following the protocol of Pinheiro
et al.,[10] except that it was rinsed with
sterile moderately hard synthetic freshwater (MHSFW). MHSFW was prepared
following a previously published protocol[33] and sterilized by autoclave or 0.22 μm filtration using a
syringe filter (Millex-GV, 0.22 μm, PVDF, 33 mm, Gamma-Sterilized).
After resuspension in sterile MHSFW, T. pyriformis were left starving at room temperature for 15 to 21 h before being
used. Ciliate concentration was determined using a Neubauer chamber
(Bright-line, Hausser Scientific) as the average of three distinct
counts. For each biological replicate, 3 mL of T. pyriformis in sterile MHSFW solution at an average concentration of 4 ×
104 cells mL–1 was transferred into a
50 mL plastic tube (Falcon, Greiner). A total of 100 μL of a
given virus stock was then spiked into the solution to reach an initial
virus titer ranging between 1 × 106 GC mL–1 and 3.2 × 107 GC mL–1. Given a
clearance rate of T. pyriformis of 0.0001 mL h–1 ciliate–1,[34] the entire solution passed through the ciliates approximately 60
times in this experimental setup. Controls consisted of 100 μL
of the corresponding virus spiked into 3 mL of sterile MHSFW. From
these reactors, samples were taken at 0 and 48 h, unless mentioned
otherwise. Aliquots of 300 μL were filtered through a 0.22 μm
syringe filter to remove T. pyriformis cells and
were analyzed for viral infectivity and/or genomic copy content.Net virus removal by T. pyriformis was quantified
on a log10 scale, as either the loss in the infectious
virus concentration (log10(C/C0)) or the loss in genomic copies (log10(N/N0)) over the duration of
the experiment. The net removal was calculated as the removal in the
experiment (log10(Cexp/Cexp,0) or log10(Nexp/Nexp,0)) corrected for
the removal measured in the protist-free control (log10(Ccont/Ccont,0) or log10(Ncont/Ncont,0) (eq ). The concentration of T. pyriformis in MHSFW was
regularly checked over the course of the experiments and remained
stable (variation <1 log10).The net virus removal was
compared among viruses
by ordinary one-way ANOVA, under the assumptions of normal distribution,
homogeneity in variances, and independent observations.
Co-incubation
Experiments with Pooled Viruses
Two co-incubation
experiments with multiple viruses were performed to assess the role
of alternative viral prey on observed removal rates. Experiments were
conducted as described above, except that either two (CVB5 and JCV)
or three (Qbeta, MS2, and T4) viruses were pooled and added to reactors
simultaneously. In parallel, co-incubations were carried out for each
virus individually, using the same T. pyriformis batch
and experimental solutions as for the pooled experiments. The concentration
of each phage in the pooled experiment was lowered by a factor of
3 compared to individual experiments, such that the total phage concentration
corresponded to that in individual phage experiments.
Stability Assessment
of the Experimental System
Effect of Virus-to-Protist Ratio on Removal
Efficiency
The effect of organism concentrations on virus
removal was assessed
in experiments with different virus-to-protist ratios. For these experiments,
protists from a single batch were co-incubated with RoV or CVA9. For
RoV, the initial virus titer was 4 × 107 or or 6 ×
106 GC mL–1 , and the initial protist
concentration was fixed to 6 × 104 cells mL–1 (ratios of ∼1000:1 and 100:1, respectively) ratio of 100:1).
For CVA9, the initial virus titer was fixed to 1.8 × 106 GC mL–1, and the protist concentration was 4 ×
104 cells mL–1 (ratio of ∼50:1)
or 4 × 105 cells mL–1 (ratio of
∼5:1). Co-incubations were conducted over 48 h. Virus concentrations
were measured before and after co-incubation, and virus removal was
determined as described in eq .
Batch Variability
To determine the
experimental variability
arising from the use of different T. pyriformis batches,
experiments with similar initial virus-to-protist ratios (100:1),
but different protist batches, were performed. A batch consists of T. pyriformis originating from subcultures produced from
a single culture flask on a given day, whereas different batches are
produced on different days. Protist concentrations in the different
batches ranged from 2 × 104 cells mL–1 to 8 × 104 cells mL–1, and virus
concentrations were adjusted accordingly. These experiments were performed
using four different viruses (E11, T4, JCV, and MHV) and 10 different
protist batches, of which two or three were tested per virus. Co-incubations
were conducted over 48 h (T4, JCV, and MHV) or 72 h (E11). Viruses
were enumerated before and after co-incubation, and virus removal
was determined as described in eq .
Experiments to Assess Virus Removal in the
Absence of Live T. pyriformis
Contribution of Virus Sorption
on T. pyriformis to Overall Removal
Experiments
with inactivated ciliates
were performed to control for viral sorption onto T. pyriformis. Two viruses (E11 and RoV) were individually co-incubated with killed T. pyriformis for 48 h (E11) or up to 120 h (RoV), and virus
removal was quantified as described in eq . Two different approaches for T.
pyriformis were used to ensure that results were not biased
by changes in surface properties or protist integrity due to the killing
mechanism. T. pyriformis were killed either by one
cycle of −20 °C/22 °C freezing/thawing (E11) or by
chemical inactivation with 10% neutral-buffered formalin (Sigma-Aldrich),
at a dose of 1 mL formalin for 3 mL of T. pyriformis solution followed by 10 min incubation at 25 °C (RoV). No effect
of formalin on virus quantification by qPCR was found.
Virus Removal
by Extracellular Protist Metabolites
To determine if metabolites
produced by T. pyriformis over the course of an experiment
had an effect on virus infectivity,
organisms were washed and starved as described above, and the solution
was filtered through a 0.22 μm syringe-filter to remove protists.
Viruses (E11) were then exposed to the filtrate for 96 h, and virus
removal was determined as described in eq .
Protist Movement
We used video analysis to investigate
how protist swimming speed was affected by exposure to different viruses.
Swimming speed was measured as the length of a trajectory traveled
by a protist, divided by the duration of the observation. An increase
in swimming speed has previously been associated with food availability
in experiments using nonviral prey.[35,36] Analogously,
we here use swimming speed as an indicator that T. pyriformis senses a virus and recognizes it as food.[37,38] We first incubated T. pyriformis populations overnight
in sterile MHSFW to ensure cells were starved. We then co-incubated T. pyriformis with Qbeta, MS2, and T4, either individually
or in combination. Because the video analysis had to be done in a
biosafety level 1 lab, we restricted this analysis to bacteriophages
only. Each condition was tested in triplicate, in 3 mL of starved T. pyriformis culture at an average concentration of 5.2
× 103 cells mL–1 (standard deviation
(sd) = 1.9 × 103 cells mL–1). The
total initial phage concentration in all experiments was fixed to
an average value of 1.9 × 107 GC mL–1. The experimental solutions were sampled at eight different time
points for the video analysis: prior to adding the phages (0 h), as
well as 0.5, 1, 2, 3, 4, 5, and 6 h after adding the phage stocks
to the protist populations.We followed an existing video analysis
protocol,[25] using the same handling method
as in previous experiments.[25,40−42] Briefly, we sampled 200 μL from each experimental solution
and transferred it to a microscope slide. The focal volume targeted
had a fixed capacity of 34.4 μL, to ensure that the same volume
was measured in every video. We then recorded a 20 s video (25 fps,
for a total of 500 frames) using a Leica M165FC stereomicroscope with
a top-mounted Hamamatsu Orca Flash 4.0 camera. Finally, we extracted
from the video information on cell movement behavior.Gross
cell speed values (i.e., swimming speed) were standardized
for each of the 15 populations by dividing the gross cell speed for
each population by the corresponding speed prior to adding phages
(value at 0 h), to obtain the change in movement speed relative to
the pre-exposure value. We then fit a linear mixed model (nlme package,[43] version 3.1–144) to determine how swimming
speed changed over time for each of the phage treatments, using phage
identity and time after phage exposure (factorial) as fixed effects.
To account for multiple measurements of individual populations, we
included population ID as a random effect in the model. To consider
potential confounding effects due to differences in population density,
protist density (numerical) was included as a covariate in the analysis.
We report statistical output for the fixed effects of the model. Fixed
effects were evaluated using a likelihood-ratio test,[44] and we report model estimates, as well as χ2 values (along with the degrees of freedom associated with fitting
the variable (dff) and the residual degrees of freedom (rdf), in the
format χ2dff,rdf) and p values associated with each fixed effect.
Data Analysis
The Rstudio software[45] (version 1.0.153)
was used to compute the infectious virus
titers and to analyze the videos using the BEMOVI R-package[39] and nlme package,[43] version 3.1–144. Statistics were performed in GraphPad Prism
9 (version 9.0.2).[47] Statistical significance
was defined at an α value of 0.05. Graphs were made using GraphPad
Prism 9 software,[47] version 9.0.2.
Results
Validation
of the Experimental Setup
Virus removal
may be influenced by the number of encounters between the virus and
protist over the course of an experiment. Because the exact virus
and protist concentrations used in co-incubation experiments can vary,
we first evaluated the stability of our experimental system to fluctuations
in the virus-to-protist ratio.The observed virus loss was found
to be independent of the virus-to-protist ratio under the experimental
conditions studied. For a fixed initial virus titer, a 10-fold change
in the T. pyriformis concentration did not significantly
affect the observed loss of infectious CVA9 (unpaired t test, t(4) = 1.493, p value =
0.21; Figure S1). Similarly, for a fixed T. pyriformis concentration, a 10-fold change in the initial
virus concentration caused only a minor difference (0.2 log10) in the loss of RoV genomic copies (Figure S1). While statistically significant (unpaired t test, t(4) = 4.031; p = 0.016), a 0.2 log10 difference is not biologically relevant and within the range
of the RT-qPCR precision. Given the insensitivity of virus removal
to the virus-to-protist ratio over the range considered, we used ratios
between 100:1 and 1000:1 in subsequent experiments. We chose an initial T. pyriformis concentration ranging between 3 × 104 and 8 × 104 cells mL–1 and
virus titers ranging from 1 × 106 GC mL–1 to 3.2 × 107 GC mL–1.Virus
removal may furthermore depend on the specific batch of ciliates
used. Batch-to-batch variability of virus removal by T. pyriformis was assessed in co-incubation experiments with JCV, MHV, E11, or
T4 at a constant virus-to-protist ratio. As shown in Figure S2, variability for JCV, MHV, and E11 was not statistically
significant (Table S6) and did not exceed
0.5 log10. The sole exception was T4, which showed a significant
batch-to-batch variability greater than 1 log10 (Table S6).
Virus Removal Requires
the Presence of Biologically Active T. pyriformis
To assess if the presence of live T. pyriformis was required for virus removal, we tested
if virus sorption to T. pyriformis or the presence
of extracellular metabolites could contribute to the observed virus
loss. Virus removal observed in the presence of T. pyriformis could not be attributed to sorption onto T. pyriformis. We observed no decrease in infectious E11 titers in samples containing
mechanically killed T. pyriformis, while a ≥
2 log10 loss of infectious E11 occurred over 48 h in samples
containing live T. pyriformis (unpaired t test, two-tailed: t(4) = 5.059; p value = 0.0072; Figure S3A). Likewise,
for RoV, the number of viral genomic copies in the samples containing
the inert organisms remained constant, whereas they decreased over
120 h in the samples containing the live organisms (Figure S3B).Similarly, we found that extracellular
antiviral metabolites released by T. pyriformis alone
could not explain the observed virus removal. The titers of E11 decreased
by >1 log10 in solutions containing T. pyriformis, whereas the decrease was only minimal (mean = 0.2 log10) if solutions were filtered to remove the ciliates (Figure S2; at 48 h: unpaired t test, two-tailed: t(2) = 3.628; p value = 0.0683). While the absence of antiviral action of metabolites
remains to be confirmed for the other viruses included in this study,
our subsequent analysis is rooted in the assumption that metabolites
do not significantly contribute to virus loss.
T. pyriformis Induced Removal Is Virus-Specific
and Independent of Alternative Viral Prey
Virus removal by
protists was determined by individually co-incubating each virus listed
in Table S1 with T. pyriformis. The observed virus loss was independent of the measurement technique
used. Both (RT-)qPCR and culturing methods yielded similar results
if applied to the same virus (T4, unpaired t test,
two-tailed t(10) = 0.2653, p value
= 0.7961; E11, unpaired t test, two-tailed t(4) = 0.9439, p value = 0.3986; HAdV2,
unpaired t test, two-tailed t(9)
= 0.2016, p value = 0.8447), consistent with physical
removal of the virions from solution.The different viruses
exhibited significant differences in their susceptibility to removal
by T. pyriformis (see Table S5 for full ANOVA results), with mean removal per virus ranging from
no removal to 2.7 log10 over 48 h (Figure ). Additional time points are shown in Figure S5 and Figure S6.
Figure 1
Net removal (*, log10(C/C0); ▲, log10(N/N0)) of different viruses by T. pyriformis over 48 h. The virus-to-protist ratio ranged from 100:1 to 1000:1.
The initial viral titer ranged between 1 × 106 GC
mL–1 and 3.2 × 107 GC mL–1, except for T4 (1.6 × 108 GC mL–1). The initial T. pyriformis concentration ranged
from 2 × 104 cells mL–1 to 8 ×
104 cells mL–1. The horizontal bars represent
the mean of multiple replicates, and the error bars represent the
standard deviation. When the concentration at 48 h was below the LOQ,
the concentration was set to the LOQ to determine the removal. The
corresponding data points are presented as empty symbols.
Net removal (*, log10(C/C0); ▲, log10(N/N0)) of different viruses by T. pyriformis over 48 h. The virus-to-protist ratio ranged from 100:1 to 1000:1.
The initial viral titer ranged between 1 × 106 GC
mL–1 and 3.2 × 107 GC mL–1, except for T4 (1.6 × 108 GC mL–1). The initial T. pyriformis concentration ranged
from 2 × 104 cells mL–1 to 8 ×
104 cells mL–1. The horizontal bars represent
the mean of multiple replicates, and the error bars represent the
standard deviation. When the concentration at 48 h was below the LOQ,
the concentration was set to the LOQ to determine the removal. The
corresponding data points are presented as empty symbols.To investigate if the susceptibility of a given virus to
removal
by T. pyriformis is influenced by other viral prey,
the removal of selected viruses was additionally measured in experiments
containing multiple viruses. No statistically significant difference
in removal was observed when CVB5 or JCV was incubated with T. pyriformis simultaneously or alone (Figure A). Similarly, the individual
incubation of T4, Qbeta, and MS2 with T. pyriformis resulted in the same virus removal as observed in experiments where
all three phages were pooled (Figure B). Full statistical results can be found in Table S7.
Figure 2
Comparison of virus removal in co-incubation
experiments with a
single virus versus pooled viruses. (A) Log-reduction in CVB5 and
JCV genomic copies after exposure to 9.7 × 104T. pyriformis cells mL–1. (B) Log-reduction
in Qbeta, MS2, and T4 genomic copies after exposure to 6.8 ×
104T. pyriformis cells mL–1. When the concentration at 48 h was below the LOQ, the concentration
was set to the LOQ to determine the removal. The corresponding data
points are presented as empty symbols. Vertical bars represent the
mean removal value of three replicates.
Comparison of virus removal in co-incubation
experiments with a
single virus versus pooled viruses. (A) Log-reduction in CVB5 and
JCV genomic copies after exposure to 9.7 × 104T. pyriformis cells mL–1. (B) Log-reduction
in Qbeta, MS2, and T4 genomic copies after exposure to 6.8 ×
104T. pyriformis cells mL–1. When the concentration at 48 h was below the LOQ, the concentration
was set to the LOQ to determine the removal. The corresponding data
points are presented as empty symbols. Vertical bars represent the
mean removal value of three replicates.
Protists Move Faster in the Presence of MS2, T4, and Pooled
Phages
Movement analysis of T. pyriformis can inform on the ciliate’s recognition and ingestion of
prey.[48,49] Here, we used this tool to determine if
the susceptibility of phages MS2, Qbeta, and T4 to T. pyriformis can be explained by the ciliate’s ability to recognize the
different phages as food. To do so, we fit a linear mixed model to
evaluate the change in ciliate movement over time and assessed how
the presence of the different phages as well as exposure time to those
phages affected the swimming speed of the ciliates. Swimming speed
depended on time since phage addition to the T. pyriformis culture (p = 0.002, χ26,105 = 20.515), protist concentration (p = 0.004, χ21,105 = 8.196) and the interaction between phage
exposure and time since phage addition (p < 0.001,
χ224,105 = 153.789). Immediately after
adding phages, swimming speed did not differ from the value prior
to phage addition, for any of the phage treatments (Figure A). However, differences arose
between the treatments over time. In the phage-free control, swimming
speed was lower compared to the initial value, and significantly so
at 1 h, 3 h, and 6 h (Figure B, D, and G, respectively) after we added the phages. Swimming
speed remained unchanged over time for protists that were co-incubated
with Qbeta individually. Exposure to MS2 caused a moderate increase
in protist movement: swimming speed was significantly higher at 1,
2, 4, and 6 h (Figures B, C, E, and G, respectively) after MS2 addition. For co-incubation
with T4, a stronger increase in swimming speed was observed, with
significantly higher speeds at 1, 4, and 6 h (Figures B, E, and G, respectively), and marginally
significantly at 2 h (Figures C). The most consistent change in movement was observed for
the co-incubation with pooled phages, where a statistically significant
increase in protist swimming speed was observed at 1, 2, 3, 4, 5,
and 6 h of co-incubation (Figures A–G). The full statistical output can be found
in Tables S8 and S9.
Figure 3
Phage treatment affects
protist swimming speed. Subplots show the
relative swimming speed of protists compared to the swimming speed
prior to phage addition. A relative swimming speed value of 1 indicates
no change in speed upon addition of phages. Each subplot shows data
for a different time point (0.5, 1, 2, 3, 4, 5, and 6 h after phage
addition). Horizontal bars represent the mean over three replicates,
and the error bars represent the standard deviation.
Phage treatment affects
protist swimming speed. Subplots show the
relative swimming speed of protists compared to the swimming speed
prior to phage addition. A relative swimming speed value of 1 indicates
no change in speed upon addition of phages. Each subplot shows data
for a different time point (0.5, 1, 2, 3, 4, 5, and 6 h after phage
addition). Horizontal bars represent the mean over three replicates,
and the error bars represent the standard deviation.
Virus Susceptibility Is Not Correlated with Virus Size and Both
Enveloped and Non-enveloped Viruses Can Be Susceptible
To
determine which viral properties render a virus susceptible to removal
by T. pyriformis, we evaluated the observed virus
removal (Figure )
with respect to different viral characteristics, specifically virus
size, the presence of an envelope, and hydrophobicity. Only a very
weak correlation was found between the extent of virus loss within
48 h as measured by either infectivity or genome copy loss and the
virus size (Pearson r = 0.147; Figure A). Similarly, no difference in the median
removal values was observed for enveloped and non-enveloped viruses
(−1.3 log10; Figure B). In contrast, virus hydrophobicity appeared to be
inversely correlated with virus removal (Figure C). Unfortunately, hydrophobicity measurements
were only available for three of the viruses considered (Qbeta, MS2,
and RoV).[50,51] Of these, Qbeta is the most and RoV the
least hydrophobic. Determining virus hydrophobicity indices for additional
viruses was beyond the scope of this study.
Figure 4
Net removal (*, log10(C/C0); ▲,
log10(N/N0)) of viruses exposed to T. pyriformis for 48 h
as a function of different virus properties. Removal data
and symbol colors correspond to those in Figure . Data points for which the concentration
at 48 h was below the LOQ are represented by empty symbols. (A) Net
removal as a function of virus size. (B) Box plot of the net removal
varlues of all enveloped and all non-enveloped viruses. Boxes indicate
the 25th, 50th and 75th percentiles;
error bars indicate the 5th and 95th percentiles.
(C) Net removal as a function of virus hydrophobicity, ranked according
to literature values.[50,51] The bars indicate the mean and
standard deviation of experimental replicates.
Net removal (*, log10(C/C0); ▲,
log10(N/N0)) of viruses exposed to T. pyriformis for 48 h
as a function of different virus properties. Removal data
and symbol colors correspond to those in Figure . Data points for which the concentration
at 48 h was below the LOQ are represented by empty symbols. (A) Net
removal as a function of virus size. (B) Box plot of the net removal
varlues of all enveloped and all non-enveloped viruses. Boxes indicate
the 25th, 50th and 75th percentiles;
error bars indicate the 5th and 95th percentiles.
(C) Net removal as a function of virus hydrophobicity, ranked according
to literature values.[50,51] The bars indicate the mean and
standard deviation of experimental replicates.
Discussion
Virus Removal Is Consistent with T. pyriformis’ Ability to Recognize a Virus As Food
Out of the
13 studied viruses, eight showed a susceptibility to T. pyriformis equal or greater to 1 log10 removal over 48 h (Figure ). Virus removal
could not be attributed to sorption onto the T. pyriformis surface nor to the production of extracellular metabolites. We therefore
conclude that T. pyriformis’ virucidal action
is rooted in grazing. Tetrahymena pyriformis has
previously been found to graze on PhiX174,[18] T4,[19] adenovirus type 3,[13] simian rotavirus SA11,[52] vaccinia
virus,[53] influenza A and B,[54] poliovirus type I and type 2,[9,55] and
echovirus type 30.[55] We expand this list
of susceptible viruses by JCV, SeV, and a coronavirus, MHV. Notably,
susceptibility to a protist was not a virus family or genus trait.
For example, among members of the Enterovirus genus,
CVA9 and E11 were removed by protists, whereas CVB5 was resistant.
Similarly, among the two members of the Leviviridae family investigated, only MS2 was susceptible to removal by protists,
whereas Qbeta was not.When simultaneously exposing T. pyriformis to multiple viral species, the individual
susceptibility of each virus strain was conserved (Figure ). Our findings on CVB5 and
JCV showed that even when simultaneously fed to T. pyriformis, the removal rate of JCV remained high and that of CVB5 remained
low. This is consistent with work by Teras[15] who found type A2 myxovirus influenza, but not CVB5, inside T. pyriformis, confirming a limited removal of CVB5. Even
in a more complex system with three phages, the presence of other
viruses did not affect the individual virus removal rate. This suggests
that virus removal by T. pyriformis is virus-specific
and independent of the presence of alternative viral prey.The
observed differences in virus removal may stem from T. pyriformis’ ability to sense a given virus and
recognize it as food. T. pyriformis possesses a feeding
receptor in the cytosome, which may assist in differentiating between
different virus species or strains.[56] Alternatively,
the different removal rates may result from the virus’ differing
persistence toward digestion once taken up by T. pyriformis. These two possibilities are difficult to conclusively disentangle.
However, the behavioral characteristics of T. pyriformis observed by video analysis were consistent with those previously
associated with food availability,[35,36] suggesting
that the discrepancies in virus removal result from the ability of T. pyriformis to recognize viruses as food (Figure ). Specifically, Qbeta, which
was not removed by T. pyriformis, did not affect
the swimming speed in individual co-incubation experiments. In contrast,
T4, which was one of the most susceptible viruses studied herein,
altered the swimming speed extensively. MS2 had both an intermediate
removal and an intermediate effect on T. pyriformis movement. We emphasize that these observations are at a population
level (effect of total viral particles removed) and thus do not reveal
the underlying mechanisms by which the protists recognize and remove
individual viral particles.
Viral Susceptibility to T. pyriformis May Be
Determined by Surface Hydrophobicity but Does Not Depend on Virus
Size or the Presence of an Envelope
Enveloped viruses are
often hypothesized to be more susceptible to environmental stressors
than non-enveloped viruses[57] Here, we found
no evidence that enveloped viruses are more readily removed by protists
than non-enveloped viruses. The strain most susceptible to T. pyriformis was JCV, a non-enveloped icosahedral human
virus that exhibited up to > 3 log10 removal over 48
h
of co-incubation. In contrast, enveloped viruses such as SeV and MHV
only showed an average removal of 1 log10, which is similar
to E11, a non-enveloped virus. Among the enveloped viruses, influenza
virus was the most susceptible with 2 log10 removal over
48 h, which is similar to the average value found for the non-enveloped
virus HAdV2. Our findings are thus consistent with a recent review
that demonstrates similar environmental persistence of enveloped and
non-enveloped viruses.[57]Fenchel
proposed the existence of an optimal protist-to-prey size ratio for
which the grazing rate is maximal.[21] This
suggests that prey size is an important factor in grazing efficiency.
Here, however, no influence of size on susceptibility to T.
pyriformis was observed (Figure A). The virus size range considered in the
present study was 28 to 190 nm. The highest removals were obtained
for JCV, which is 30 nm in diameter, and T4, which is 90 nm wide and
190 nm long. This virus size range may not be sufficiently large to
trigger a size-specific response, especially as size may not be the
only factor in prey preference. The latter is supported as even viruses
belonging to the same species, such as E11, CVA9, and CVB5, which
are highly similar in size and shape, exhibited vastly differing susceptibilities
to protistan action.The sole viral property for which we could
identify a potential
influence on susceptibility to protists is surface hydrophobicity.
Qbeta, which is more hydrophobic than MS2,[50] had a lower susceptibility to T. pyriformis. Similarly,
MS2 is more hydrophobic[51] and less susceptible
to removal by protists compared to RoV. This trend is consistent with
work by Gurijala and Alexander,[20] who found
that more hydrophobic bacteria were less susceptible to grazing by T. thermophila. This trend, however, was not confirmed for
flagellates,[58] which exhibited uptake rates
of bacteria that were independent of bacterial cell hydrophobicity.Our findings on differential removal of viruses by the model protist T. pyriformis in highly controlled settings is a first step
toward a more general understanding of viral dynamics in natural freshwater
systems as well as in reactors of activated sludge or similar settings.
Importantly, both in natural systems as well as in activated sludge,
we expect a much higher diversity of protists, and it is reasonable
to assume that different protist species exhibit different feeding
preferences. It has been shown that a higher diversity of protists
has both positive and negative effects on ecosystem dynamics, depending
on the variable of interest,[59] and similar
effects can be expected with respect to removal rates of viral particles
in natural and engineered setting. As a next step, the interactions
and possible additive effects of different protist species on viral
removal should thus be studied, in order to transfer our findings
to a more general and more realistic setting.In summary, our
findings demonstrate the capability of T. pyriformis to remove a range of mammalian viruses and
bacteriophages, though the extent of removal varies between viruses.
In addition, T. pyriformis movement analysis suggests
that virus removal depends on the protists’ ability to recognize
a given virus as food. In future work, these findings should be confirmed
in environmentally relevant systems that include a diverse array of
protists and bacteria, as well as nutrients, organic matter, and particles.
Nevertheless, our results show that at environmentally relevant concentrations,
protists can achieve a significant removal of viruses from the water
column. Their contribution to the environmental fate of different
viruses should therefore not be neglected.
Authors: Marcel D O Pinheiro; Mary E Power; Barbara J Butler; Vivian R Dayeh; Robin Slawson; Lucy E J Lee; Denis H Lynn; Niels C Bols Journal: Appl Environ Microbiol Date: 2006-11-17 Impact factor: 4.792
Authors: Stephen A Bustin; Vladimir Benes; Jeremy A Garson; Jan Hellemans; Jim Huggett; Mikael Kubista; Reinhold Mueller; Tania Nolan; Michael W Pfaffl; Gregory L Shipley; Jo Vandesompele; Carl T Wittwer Journal: Clin Chem Date: 2009-02-26 Impact factor: 8.327
Authors: Wendy Hennemuth; Laura S Rhoads; Henry Eichelberger; Miki Watanabe; Kevin M Van Bell; Lei Ke; Hyesuk Kim; Giang Nguyen; Jeremy D Jonas; Derek Veith; Craig T Van Bell Journal: J Eukaryot Microbiol Date: 2008 Jan-Feb Impact factor: 3.346