Abstract
In aquatic ecosystems, phagotrophic protists and bacteriophages are major biological factors shaping bacterial populations. However, the extreme environmental conditions and low nutrient concentrations in alpine lakes limit the abundance of protists. Thus, bacteriophages may represent the main biological factor shaping bacterial communities in these ecosystems. We hypothesized that alpine lake bacteria populations harbor diverse antiviral strategies against bacteriophages that could be used to fight against other viral pathogens. To evaluate the presence of bacteria with broad-spectrum antiviral activity in high altitude Swiss lakes, we developed a sampling campaign in 24 alpine lakes in Switzerland. We assessed the decay of two human viruses (echovirus 11 and influenza A virus) in lakewater and characterized the microbial abundance and metabolic diversity in the collected samples. In addition, we obtained a collection of 223 bacterial isolates and selected bacteriophage resistant bacteria to build synthetic communities with enhanced antiviral activity against the two tested human viruses, and one plant virus of commercial significance (Potato Virus X). These results support our hypothesis and reveal, for the first time, an association between bacteriophage resistance and viral inactivation. Our findings emphasize the importance of alpine lakes as hotspots of microbial diversity with unexplored biotechnological applications.
Keywords: alpine lakes, microbial communities, viral inactivation, bacteriophage resistance, synthetic communities


1. Introduction
Alpine lakes are unique ecosystems with extreme environmental conditions: low nutrient concentrations, low temperatures, ice cover during the wintertime, high UV radiation in summertime, short summertime and drastic light changes between the ice-covered and ice-free season Despite these harsh conditions, alpine lakes host diverse bacterial communities that play central roles in ecosystem functioning In aquatic ecosystems, phagotrophic protists and bacteriophages (also known as phages) are major biological factors shaping bacterial populations However, in alpine lakes bacterial communities are less influenced by protist grazing compared to low-land lakes due to the limited richness and diversity of the latest compared to nonalpine regions Since bacteriophages are generally highly resistant to extreme environmental conditions, they likely represent the main biological factor shaping bacterial communities in alpine aquatic ecosystems.
Bacteriophages are the most abundant microorganisms in aquatic systems. , They lead to 20–40% of bacteria mortality and exert a huge selective pressure on their bacteria hosts. Bacteria-viral interactions in this context, are a constant and dynamic back and forth battle Bacteria adapt their immune systems and develop mechanisms to resist bacteriophage infections, and bacteriophages frequently mutate to counteract bacteria adaptations. , Bacteria have developed numerous mechanisms against bacteriophage infections and have clustered them in so-called genomic “defense islands” across their genomes. , These defense mechanisms range from the well characterized bacterial CRISPR/Cas system shared by multiple bacterial species to the most recently discovered Bacteriophage Exclusion (BREX) system in Bacillus subtilis. , They involve phage DNA silencing through small RNA molecules, DNA degradation by restriction enzymes, bacterial programmed cell dead to avoid viral proliferation, and the production of chemical antiviral molecules like viperins. − Interestingly, bacterial and human viperins have structural and functional similarities. While bacteria use these molecules to fight bacteriophage infections, humans seem to also use them to fight virus infections.
Bacterial antiviral molecules and their mechanisms can be potentially exploited to our advantage against viral pathogens of multiple hosts. Climate change, urbanization and mobility increase the risk of infectious disease emergence. Viral pathogens, in particular, have high mutation rates, large population numbers, short generation times and rapidly become resistant to antiviral drugs and disinfectants. − There is a permanent lack of antiviral molecules effective against rapidly evolving and emerging human, animal and plant pathogens. Aquatic ecosystems and, in general, extreme environments are potentially a rich source of microbial secondary metabolites with antimicrobial and antiviral activity. In the early 70s and 80s, Ward et al. and Cliver et al. described the antiviral activity of fresh water microorganisms and their proteases against Poliovirus, Echovirus-12, Rotavirus SA-11 and Coxsackievirus B5. , More recently, our lab further characterized lakewater bacterial isolates and their proteolytic activity. We found a correlation between viral inactivation and extracellular metalloprotease production. As well, bacterial intra- and extra- cellular polysaccharides have shown antiviral activity against diverse viruses. However, the potential of high-altitude aquatic environments as hotspots for the discovery of new antiviral compounds of bacterial origin remains largely unexplored.
Due to the extreme environmental conditions and the high abundance of bacteriophages in alpine lakes, we hypothesized that bacteria in these environments have developed complex and diverse antiviral mechanisms against bacteriophages that likely contribute to the inactivation of multiple viruses. These shared antiviral mechanisms are likely extracellular (polysaccharides, and other secondary metabolites) as there is no evidence of human or mammalian viruses entering the bacteria cell. Thus, we aimed to explore broad-spectrum viral inactivation by bacteria communities and isolates from Swiss Alpine lakes. We conducted sampling campaigns in 24 alpine lakes located above the tree line in the Swiss Alps and investigated the inactivation of two human viruses (Influenza A virus and echovirus 11) in water from selected lakes. In addition, we identified and selected bacteriophage resistant isolates to build two synthetic communities with increased broad-spectrum antiviral activity against the two human viruses and one plant virus (Potato Virus X). Our findings highlight high-altitude lakes as unexplored reservoirs of microbial and metabolic diversity that can be exploited for potential biotechnological applications. They offer promising opportunities for the discovery of novel broad-spectrum antiviral mechanisms and bioactive compounds, and for the design of synthetic microbial consortia with potential applications in the biocontrol of viral pathogens.
2. Materials and Methods
2.1. Alpine Lake Sampling and Sample Processing
The lakes chosen for this study were high altitude lakes located in the Swiss Alps mostly above 2000 m of altitude. All samples were collected between September and November 2021. The list of lakes sampled in this project as well as their sampling date and altitude are shown in Table S1. During each sampling campaign, two liters of surface water were collected using plastic containers made of polycarbonate and a telescopic sampling pole. Samples were kept at 4 °C until further processing (max. 24 h). Once in the laboratory, one liter of lakewater was filtered through 0.45 μm filters (Millipore) using a conventional vacuum pump to retain protists, bacteria and bacteriophages (associated with the bacteria and organic matter). Water samples with higher turbidity and rich in suspended particles were first prefiltered through 8.0 μm filters. The 0.45 μm filters were transferred to Bead Tubes of the DNeasy PowerWater kit (QIAgen, Germany). These tubes were frozen at −20 °C until nucleic acid extractions were performed using the DNeasy PowerWater kit (QIAgen, Germany) following the manufacturer’s recommendations.
2.2. Microbial Abundance Quantification in Alpine Lakes
Quantitative polymerase chain reaction (qPCR) assays were used to determine the abundance of picoeukaryotes, bacteria and bacteriophages targeting 18S, 16S and g23 genes, respectively. , The 16S gene was targeted to quantify the abundance of bacteria using a Femto Bacterial DNA quantification kit (Zymo Research Corporation) following the manufacturer’s recommendations. The g23 gene encodes for a capsid protein of tailed bacteriophages and was used as a proxy of bacteriophage abundance given that no universal gene is available for viruses. Table S2, shows the sequences of all the primers used in this study.
2.3. Metabolic Diversity of Alpine Lake Communities
Biolog EcoPlates were used to characterize the carbon source metabolic profile of bacteria communities found in the studied lakes. Briefly, 1× of M9 minimal media (Sigma-Aldrich) was supplemented with 2 mM of MgSO4 (PanReac AppliChem), 0.1 mM of CaCl2 (Thermo Scientific) and 1X of trace metals (Teknova). The content of each well of the EcoPlate was resuspended in 100 ul of supplemented M9 minimal. Then, 40 ul of unfiltered lakewater were added on top of each well. Plates were incubated for 5 days at room temperature in the dark. Optical density of each well was measured at a wavelength of 590 nm using a microplate reader (BioTek – Synergy Mx). Each carbon source is present in triplicate in the EcoPlate. Average optical density was reported per carbon source for each lake. To calculate metabolic diversity, compounds that yielded an optical density >0.2 at 590 nm were used to calculate a Shannon index per lake using the following formula
Here, H is the Shannon diversity index, ∑ is the sum, p i is the proportion of compounds with signal >0.2 and ln is the natural logarithm.
2.4. Propagation of Human and Plant Viruses
Echovirus 11 (E11, Gregory strain, ATCC VR737) reference strain and Influenza A virus (IAV) A/WSN/33 (lab-adapted H1N1) were cultured in the laboratory using Buffalo Green Monkey Kidney (BGMK) and Madin-Darby Canine Kidney (MDCK) cells, respectively. Stocks were generated by infecting subconfluent monolayers of cells, following previously established protocols. For E11 purification, viral particles were harvested from the infected cells through a series of freeze–thaw cycles. Subsequently, to remove cellular debris, the suspensions underwent centrifugation at 3000×g for 5 min. Buffer exchange was performed into PBS using Amicon Ultra filters in cycles of 4000×g for 10 min until viral suspension was clear. For IAV purification, culture supernatant from the infected cells was cleared by centrifugation (2,500×g, 10 min). Virus was concentrated and purified by pelleting through a 30% sucrose cushion at 112’400 × g in a SW31Ti rotor (Beckman) for 90 min at 4◦C. The resulting pellets were soaked overnight at 4 °C in PBS (ThermoFisher, 18912014) and then fully resuspended by pipetting up and down. Pepino Mosaic Virus (PepMV) and Potato Virus X (PVX) were obtained from tobacco plants (Nicotiana benthamiana and Nicotiana tabacum Xanthi, respectively) mechanically inoculated with virus isolates from Agroscope collection in Changins (Nyon, Switzerland). Virus particles were semipurified as previously described from symptomatic leaves stored at −20 °C. The abundance of particles was evaluated using a Tecnai G2 transmission electron microscope. The particles were diluted in 0.018 M phosphate-citrate buffer at pH 7 when required. All virus suspensions were aliquoted and stored at – 80 °C until further use.
2.5. Enumeration and Quantification of Human Viruses
The concentration of infectious viruses was determined using a most probable number (MPN) infectivity assay for E11 and plaque assays for IAV. For MPN, 5 replicates per sample were used as described previously. Plaque assays were performed using MDCK cells as described previously. Samples for infectivity assays were stored at −80 °C until used.
For quantification of human viruses, qPCR targeting Influenza A Matrix or Echovirus 11 viral protein 1 were performed (Table S2). By using qPCR instead of infectivity assays, we were able to increase sample throughput at this stage. Furthermore, we have previously observed a relation between viral genome decay and viral titer for both of these viruses. , However, it should be noted that qPCR does not capture inactivation mechanisms that leave the viral genome intact while rendering the virus noninfectious. For both viruses, RNA extractions from samples were performed, using the QIAamp Viral RNA Mini extraction kit (52906, QIAGEN GmbH, Hilden, NW, Germany) according to manufacturer’s instructions. For E11 quantification, RT-qPCR was performed on a Mic qPCR Cycler (Bio Molecular Systems) using the One Step SYBR PrimeScript RT-PCR Kit (Takara). Each reaction (20 μL) contained 3 μL of template, 10 μL of 2× One Step SYBR RT-PCR Buffer III, 0.4 μL of TaKaRa Ex Taq HS (5 U μL–1), 0.4 μL of PrimeScript RT enzyme mix II, 250 nM of each primer and 5.2 μL of water. The thermocycling conditions were as follows: RT at 42 °C for 5 min, 10 s at 95 °C, followed by 40 cycles of 95 °C for 5 s, 52 °C for 20 s and 60 °C for 30 s. We included five biological replicates (n = 5) per condition and each sample was run once, and the Cq values were determined using the micPCR software (v2.10.0; Bio Molecular Systems). For IAV quantification, extracted nucleic acids were eluted in elution buffer, and stored at −20◦C until analysis. Reverse-transcription and amplification were performed using the One Step PrimeScript RT-PCR Kit (RR064A, Takara Bio Inc., Kusatsu, JP-25, Japan) using primers targeting the Influenza A Matrix gene (Table S2). The RT-qPCR mix was composed of 7.5 μL of 2× One-Step SYBR RT-PCR Buffer, 0.3 μL of Takara Ex Taq HS (5 U/μL stock), 0.3 μL PrimeScript RT enzyme mix, 0.3 μL forward and reverse primers (10 μM stocks), and 3.3 μL RNase-free water, to which 3 μL of extracted RNA sample was added. The RT-qPCR was performed in a Mic Real-Time PCR System (Bio MolecularSystems, Upper Coomera, QLD, Australia) with the following parameters: 2 min at 50 ◦C, 10 min at 95 °C, 15 s at 95 °C followed by 60 s at 60 °C for 40 cycles. A final step from 55 to 95 °C at 0.3 °C/s was performed for the melting curve analysis. A Gblock gene fragment (Gblock SA, Ath, WHT, Belgium), as described in Olive et al. (2022), was used to create a standard curve for quantification over a range of 10 to 107 genomic copies per microliter (GC/μL).
2.6. Inactivation of Human Viruses in Lakewater
Inactivation experiments were conducted in lakewater filtered through 0.8 μm (Millipore) (to remove heterotrophic protists) as described above. Specifically, 50 mL of filtered water were spiked with 100 μL of IAV and E11 to the same initial concentration (105 genome copies per ml). Then, 5 mL of spiked water was placed in 6-well plates in three replicates. The plates were incubated for 7 days in the dark at room temperature and 500 μL aliquots were taken on days 0, 3, and 7. These aliquots were frozen at −20 °C until analyzed. Viral nucleic acids were extracted using the QIAamp Viral RNA Mini extraction kit (52906, QIAGEN GmbH, Hilden, NW, Germany) and virus concentrations were determined by qPCR throughout the experiment.
2.7. Development of Synthetic Bacteria Communities with Antiviral Activity
To develop synthetic bacteria communities with enhanced antiviral activity, we first aimed to identify specific bacteria species with antiviral properties in the lake water samples. To this end, we built a culture collection of isolates from all the sampled lakes. One liter of water from each lake was 0.45 μm filtered. Filters were transferred to LB agar plates and incubated at room temperature for 72 h. Then, single colonies were transferred to new LB plates. Serial transfers of isolated colonies into sterile LB plates were conducted until pure cultures were obtained (uniform colony morphology with consistent size, shape, color, and texture with no visible heterogeneity). A total number of 223 pure bacterial isolates were obtained using this methodology. LB media was purchased from Invitrogen. This medium was used to obtain a large and diverse collection of isolates from alpine lakes and identify those with antiviral activity regardless of their nutritional requirements. Bacteria isolates were identified performing 16S rRNA gene sequencing using the primers 27 F and 786 R (Table S2). Samples were sent for conventional Sanger sequencing to Fasteris (Genesupport SA, Geneva, Switzerland).
To identify which of the obtained isolates showed antiviral activity, we conducted phage susceptibility tests using the bacteriophage fraction obtained from each studied lake. Specifically, phage enrichments were conducted for each bacteria isolate obtained in this study (n = 223) following state-of-the-art protocols: , Briefly, the phage cocktail used to infect each bacteria isolate was a 1:1 mixture of all the control waters obtained from each lake which is called “Phage Mix” hereafter. This process was done to increase the chances for at least one phage type in the mix to be capable of infecting each bacteria isolate. To assess bacterial susceptibility to the “Phage Mix”, fresh cultures of each bacteria isolate were grown overnight in 5 mL of LB. Once bacteria cultures had an optical density at 600 nm around 0.6–0.8 (exponential phase), they were spiked with 1 mL of the phage mix. The tubes were then incubated at room temperature for 15 min and then gently agitated (50 rpm) for 2 more hours. Then, chloroform was added to the bacteria-phage cocultures (hereafter named “Phage enrichments”) which were centrifuged for 10 min at 5000 rpm and filtered at 0.2 μm to remove all bacteria. This process was done for each bacteria isolate.
To compare phage susceptibility of bacteria isolates, the phage titer yield in the “Phage Mix” and in each enrichment was determined by qPCR targeting the g23 gene. , For these assays, we were aware that the g23 assay does not capture the full diversity of tailed phages in nature (i.e., it excludes siphoviruses and podoviruses). However, T4-like myoviruses targeted by g23 qPCR consistently represent a substantial and ecologically relevant fraction of the bacteriophage community. Specificaly, myovirus sequences account for 11–23% of viral metagenomic reads in marine systems and g23-based surveys have detected T4-like myoviruses consistently across diverse freshwater lake systems, including high-altitude oligotrophic lakes. , Bacteria cultures with phage concentrations equal or higher compared to the phage mix were considered “susceptible” and retained to build the control communities, while those yielding inferior concentrations were considered “resistant” and retained for the design of two different synthetic communities with enhanced antiviral properties. This approach assumes that resistant bacteria limit phage replication, so lower phage titers in the enrichment experiments reflect the bacteria’s ability to inhibit phage proliferation. Conversely, phage-susceptible bacteria are expected to increase phage abundance or maintain titers comparable to the control, as environmental phages may gradually lose infectivity over time due to adsorption to surfaces or capsid degradation. The g23-based quantification of phages in our assays has some limitations as it does not capture phages lacking this gene, nonlytic or chronic infection dynamics, or adsorption events that do not lead to replication. As a result, some isolates classified as “resistant” may in fact support phage infections not detectable by this assay.
2.8. Alpine Synthetic Communities Against Human and Plant Viruses
To confirm the enhanced antiviral properties of the obtained synthetic communities, three independent groups, each consisting of 25 bacterial isolates, were assembled and tested for their virus inactivation activity against E11 and IAV. The groups comprised two synthetic communities with enhanced antiviral activity and one control community. Although no isolates were shared between groups, we did exclude the possibility that the communities harbored different strains of the same bacterial species. Before the inactivation assays, isolates were independently grown in LB overnight at room temperature to avoid competition and were mixed in equal parts in a final volume of 50 mL. Once the bacteria isolates were mixed together, inactivation experiments against E11 and IAV were conducted as previously described. Specifically, 50 mL of mixed bacteria isolates were diluted 100x using sterile lakewater and spiked with 100 μL of IAV and E11 to the same initial concentration (105 genome copies per ml). Then, 5 mL of spiked media with the isolates was placed in 6-well plates in five replicates. The plates were incubated for 4 days at room temperature and infectivity was assessed against mammalian cells as described above. Samples were diluted 1:10 in cell culture medium prior infectivity assays. A virus-free synthetic community control was included to verify that the bacterial communities did not cause pathogenic effects in the cell lines used. For inactivation assays against plant viruses, the most inactivating community against human viruses was selected. All the community members were grown as previously described and mixed the day of the assay. Previously purified PepMV and PVX viruses were independently spiked into the bacteria solution and incubated at room temperature for 4 days. After incubation, the viral-bacterial solutions were filtered sterilized to remove bacteria and used to infect 75 tobacco plants as described. A control group was simultaneously inoculated with a viral solution incubated for 4 days at room temperature in the absence of bacteria. Inoculated plants were maintained under controlled greenhouse conditions (approximately 20 days). A group of uninoculated plants were placed in the same green house as plant controls. In addition, a group of 16 plants were inoculated only with the bacterial pool as a control of bacteria pathogenesis. Virus detection was performed an ELISA test with antibodies from Bioreba AG (Reinach, Switzerland), with two leaves taken from each plant. The infection threshold was determined as the mean value of the noninoculated controls plus three standard deviations, following established methodology. For PVX and PepMV, this corresponds to 0.16 and 0.28 absorbance units, respectively, after 18 h of incubation. The infected plants were further divided into two groups: one consisting of highly infected plants, whose absorbance signal exceeded the upper detection limit of the ELISA plate reader (4 units), and another consisting of moderately infected plants, whose absorbance signal fell between the infection threshold and the upper detection limit.
2.9. 16S Amplicon Sequencing of Alpine Synthetic Communities
Once bacterial isolates were mixed, a sample from each community were taken for DNA extraction and 16S amplicon sequencing. Sample was 0.22 μm filtered and DNA from filters was extracted using DNeasy PowerWater Kit (Qiagen, Hilden, Germany) as previously described. DNA extracts and blanks were then used for 16S rRNA gene amplification using the 27F and 1492R (Table S2). The PCR reaction was carried out in a 50-μL volume containing 20 ng of input DNA and 25 μL of LongAmp Taq 2× master mix (New England Biolabs, Ipswich, MS). Each PCR product was purified using Agencourt AMPure XP beads (Beckman Coulter, Brea, CA) and quantified using Qubit (dsDNA quantification, Broad Range). The sequencing library was prepared using the Native Barcoding Kit SQK-NBD114.24 (Oxford Nanopore Technologies, Oxford, U.K.) following the manufacturers’ instructions. The library was loaded into a FLO-MIN106 flow cell (Oxford Nanopore Technologies) and sequenced using a MinION Mk1C sequencing device for 72 h. Sequencing files were basecalled using Dorado (v0.9.1) basecaller. FASTQ files were input into the MetONTIIME workflow to estimate bacterial relative abundance and assign taxonomy. Feature tables and count matrix were imported into R and analyzed using the microeco package.
2.10. Data Analysis and Visualization
Analysis of all the data obtained during the project was done with the dyplr and tidyverse packages RStudio. All the plots were obtained in Rstudio using the ggplot package. Correlation matrices and statistical analysis were performed using the Pearson correlation coefficient function in RStudio.
3. Results and Discussion
3.1. Microbial Abundances and Metabolic Diversity in Swiss Alpine Lakes
A total of 24 alpine lakes were sampled in the Swiss Alps from eight distinct regions in the canton of Valais and one region in the Bernese Oberland (Figure A). The abundance of bacteria, eukaryotes and tailed bacteriophages was determined in each lake to identify those showing a higher ratio of bacteriophages to bacteria and eukaryotes. We chose primers targeting 16S rRNA gene, 18S rRNA gene and g23 they have been extensively used to quantify these organisms in environmental samples (Table S2). , We found great variability of microbial abundances between samples (Figure B). Bacteria concentrations (16S) ranged from 300 genome copies/liter (gc/l) in Lac Bleu (Arolla) to more than 108 gc/l in Spilsee (Bellwald). Eukaryotic DNA (18S) ranged from 100 gc/l in Lac Bleu to 109 gc/l in Stellisee and Leisee (Zermatt). The concentration of tailed bacteriophages (g23) varied between <10 gc/l in Small Lac de Vaux (Verbier) to 107 gc/l in Lengsee (Bellwald). We calculated the ratio of tailed bacteriophages over the sum of bacteria and eukaryotes concentration (measured in gc/l) in each lake, shown in Figure C. At the time of sampling, few of the lakes had particularly high ratios of tailed bacteriophages per bacteria and eukaryotes. Lakes Mossjesee, Guggisee, Marjelensee and Salanfe had ratios of 0.12, 0.15, 0.10 and 0.69, respectively, compared to an average ratio of 0.01 in the other 20 lakes. The ratio of tailed bacteriophages to bacteria and eukaryotes was 60-times higher in Lake Salanfe compared to the average ratio of the rest of the lakes. In agreement with earlier studies, the variability in microbial abundances among the studied lakes may reflect local environmental (e.g., ionic concentrations, nutrients, temperature and pH) and biological influences. Identifying and characterizing the influence of these specific factors on microbial abundances and diversities was beyond the scope of this work.
1.

Microbial abundance of 24 Swiss Alpine Lakes. (A) In total 24 lakes mostly located above 2000 m of altitude were sampled from August to November 2021. Specific details on altitude and regions are found in Table S1. (B) Total DNA was extracted from lakewater samples and the genome copies per liter (gc/L) of bacteria bacteria, eukaryotes and tailed phages was determined by quantitative PCR (qPCR) using primers against 16S, 18S and g23 genes, respectively. Missing abundances of Leisee and Lac des Vaux account for samples that had negative values or values that fell bellow the detection limit of the assay. (C) The ratio of bacteriophages to the sum of bacteria and eukaryotes were calculated per lake using the abundance (gc/L) of g23 over the sum of abundance of 18S and 16S genes.
To characterize functional traits of the microbial communities in the sampled lakes that could later on provide insights into their antiviral activity, we assessed carbon metabolism using Biolog EcoPlates. These plates contain 31 compounds classified as carbohydrates, amino acids, carboxylic acids, amines or alcohols (Figure ). Based on the number of metabolized carbon sources, we calculated Shannon diversity indexes to determine the metabolic diversities per each lake (Table S3). Lakes Bleu, Petit Aletsch 1 and Schwarzsee had the highest metabolic diversity (Shannon indexes >3). Microbial communities present in these three lakes metabolized substrates in all six categories (carbohydrates, amino acids, carboxylic acids, amines and alcohols). In contrast, lakes Stellisee and Leisee were the least metabolically diverse (Shannon indexes <1), as microbial communities from these lakes were unable to metabolize most of the substrates present.
2.

Metabolic profiling of microbial communities in Swiss Alpine Lakes. Water from each lake was used to assess the capacity of each lake’s microbial community to degrade the 31 different substrates present in Ecolog plates. Each lakewater was inoculated into an Ecolog plate and incubated for 5 days at room temperature. Optical density was measured at 590 nm and averaged for each substrate from three replicates (n = 3) Gray-shaded areas correspond to samples where negative absorbance at 590 nm was observed (no assimilation).
3.2. Microbial Communities in Alpine Lakes Show Antiviral Activity Against Human Viruses
We have previously reported that bacterial communities from Lake Geneva inactivate human enteric viruses. To confirm whether bacteria in Swiss alpine lakes also show antiviral activity against human viruses, we conducted inactivation experiments using two structurally different viruses: echovirus 11 (E11) and influenza A virus (IAV). For these assays, we selected four lakes with high proportion of tailed bacteriophages per bacteria and eukaryotes (Guggisee, Mossjesee, Marjelensee and Salanfe), and four lakes with low proportion (Lac Bleu, Schwartzsee, Small Lac de Vaux and Mittelsee) to evaluate whether elevated phage-to-host ratios are indicative of increased antiviral activity. We focused on the antiviral activity of bacteria present in the water. Therefore, the water used for these assays was filtered through a 0.8 μm membrane to remove protists, also known to inactivate human viruses. While these assays reproduced the nutritional environment and some of the physicochemical characteristics of alpine lakes, they did not fully incorporate other environmental conditions (e.g., temperature and UV radiation) that likely impact viral inactivation in alpine lake systems.
We observed higher E11 inactivation compared to IAV in all the tested lakes (Figure ). E11 was inactivated >1 log10 in five out of eight of the lakes (Figure A) while IAV was inactivated around 1 log10 in all lakes (Figure B). These findings are consistent with previous observations on the inactivation of human pathogens in freshwater. , Out of the eight lakes, lake Mossjesee, an artificial reservoir resulting from glacial meltwater, had the greatest inactivation against both viruses (2.17 average log10 decay for E11; 1.03 log10 decay for IAV) over 7 days of incubation. E11 inactivation in water from this lake was significantly higher compared to lakes Salanfe and Mittelsee (P = 0.0387 compared to Salanfe and P = 0.0199 compared to Mittelsee). We did not observe a correlation between viral inactivation and the proportions of bacteriophages per bacteria and eukaryotes. However, two out of four of the chosen lakes with increased ratios of tailed bacteriophages (Mossjeesee and Marjelensee) showed the greatest inactivation against E11. Similarly, we did not identify any correlation between antiviral activity and lake metabolic diversities (Figure S1). Further research investigating ecosystem parameters associated with higher viral inactivation in alpine lakes is necessary.
3.

Viral Genome Decay of Human viruses in selected Alpine Lakes. (A) Echovirus 11 (E11) or (B) Influenza A virus (IAV) was inoculated into 0.8 μm filtered water from eight Alpine lakes and incubated for 7 days at room temperature in the dark. Viral inactivation was determined by comparing the viral genome copies per ml (gc/ml) on day seven to day zero (Log Viral genome decay C/C0) using quantitative PCR (qPCR). Each viral inactivation assay was performed in five replicates (n = 5) A one-way ANOVA with Tukey honest significant difference in R Studio was used for statistical analysis between viral decay values. Significant differences are indicated as follows: ***P < 0.001, **p < 0.01. and *P < 0.05.
3.3. Alpine Lakes Host Bacteria with Low Susceptibility to Bacteriophage Infections
To identify and characterize specific bacteria with potential antiviral activity, we isolated single bacteria species from each lake in LB agar (Figure A), regardless of the phage-to-host ratios. We chose LB agar as it is a nutrient rich medium that supports rapid growth of several bacteria species, is compatible with downstream molecular analysis and facilitates the scaling up of experimental assays. In total, we obtained 223 different bacteria isolates across the 24 alpine lakes (Figure B). The number of bacterial isolates obtained varied per lake, ranging from 4 to 19. Lakes Guggisee and Oeschinensee yielded the highest number of isolates (19 and 16 cultures respectively), together accounting for approximately 15% of the total isolates. Lakes Stellisee and Wirbulsee yielded the lowest numbers of bacterial isolates (only 4 isolates from each of both lakes). Interestingly, Lakes Guggisee and Oeschinensee showed the lowest bacterial abundance (Figure B), while lakes Stellisee and Wirbulsee were within the lakes with the greatest bacterial abundance. Perhaps bacterial communities in Guggisee and Oeschinensee contained a greater proportion of taxa capable of growing on LB media, whereas lakes with higher total bacterial abundance may have been dominated by microorganisms that were not cultivable under our experimental conditions.We hypothesized that bacterial isolates with lower susceptibility to bacteriophage infections would show increased antiviral activity against human and plant viruses. To identify bacteria with decreased susceptibility to bacteriophage infections and test our hypothesis, we created a “Phage Mix” by pooling virus fractions (0.22 μm filtered lakewater) from the surface water samples collected in the 24 lakes. This generated a phage cocktail that included a large abundance of diverse bacteriophages potentially capable of infecting most of the bacteria isolates (Figure A). All 223 isolates were grown independently in LB and spiked with the alpine “Phage Mix”. After coincubating the bacteria isolates and the phage mix, we compared the final concentration of bacteriophages to the initial concentration in the inoculum (Figure C). Most of the isolates (148 specifically) showed susceptibility to the Phage Mix as indicated by an increase in the bacteriophages’ titer after the incubation period. Conversely, we identified 75 isolates with decreased susceptibility indicated by a decrease in the concentration of bacteriophages after coincubations. The highest percentage of phage resistant bacteria were identified Lake Oeschinsee (9 isolates), Lac de Vaux (8 isolates), Leisee (8 isolates) and Lac de Salanfe (8 isolates). Interestingly, Oeschinensee is the lake at the lowest altitude (1580 m), potentially experiencing the least extreme environmental conditions, and Lac Salanfe had the greatest phage to bacteria and eukaryotes ratio (Figure C). Beyond these observations, we did not find any correlation between the microbial abundances or metabolic profile of these lakes and bacteriophage resistance.
4.

Phage susceptibility of Alpine bacterial isolates. (A) An alpine “Phage mix” was generated by mixing lakewater samples from each lake. In parallel, to isolate bacteria from each lake, one liter of lakewater was 0.45 mm filtered. Filters were transferred to LB agar plates and incubated at room temperature for 72 h. (B) A total of 223 bacterial isolates were recovered and identified using 16S gene sequencing. The number of bacterial isolates obtained varied per lake. (C) To assess bacterial susceptibility to the Alpine Phage mix, each bacterial isolate was grown in LB and spiked with one ml of the mix. After 5 h, bacterial cultures were recovered, spun down and filtered. DNA was extracted at 0 and 5 h and qPCR against the g23 gene was used to compare phage genome decay between these two time points (Log Genome Decay C/C0).
Our findings suggest that limited nutrients and high bacteriophage concentrations are not the only characteristics associated with bacteriophage resistance in bacteria populations. It is important to acknowledge that some methodological choices – including media selection for bacterial isolation, possible absence of phages capable of infecting certain isolates in the Phage Mix , and reliance on g23 qPCR as an indicator of total phage concentration – may have influenced our results. For example, the use of LB medium introduced a bias toward copiotroph, fast-growing bacteria. This choice was consciously made to build a large collection of bacteria isolates from Alpine environments to screen for antiviral properties and build synthetic communities, rather than to reproduce or mimic microbial composition from Alpine lakes. Even though our work has some limitations, the identified bacterial subset represented promising candidates for further characterization and was used to develop synthetic communities with enhanced viral inactivation activity.
3.4. Phage-Resistant Synthetic Communities Show Enhanced Antiviral Activity Against Human and Plant Viruses
Previous studies performed in our laboratory showed greater viral inactivation in lakewater samples compared to single bacteria cultures, and a correlation between increased microbial diversity and enhanced inactivation. , Therefore, we aimed to design microbial synthetic communities using isolates classified as “bacteriophage-resistant” and assess their antiviral activity against viral pathogens with different structures and hosts. We created two synthetic communities of 25 members each (communities 1 and 3 – Figure ). In parallel, we created a control community using 25 bacteriophage-susceptible bacteria (Control community). The three communities were spiked with either E11 or IAV and incubated for 4 days at room temperature. After coincubation, we confirmed that the synthetic communities of bacteriophage-resistant bacteria (communities 1 and 3) had enhanced antiviral activity compared to the bacteriophage-susceptible (control) community (Figure A). In both cases, we observed significantly (P value <0.01) more inactivation between the communities (1 and 3) and the control but no significant difference between communities 1 and 3. In addition, we observed that E11 had greater inactivation compared to IAV (E11 ∼ 3 log10; IAV ∼ 1 log10, in 4 days). Noteworthy, the synthetic communities showed greater inactivation against both human viruses as compared to the inactivation we previously observed in lakewater (∼ 2 log10 decay in 7 days) (Figure ). The control community had similar degree of inactivation against both viruses compared to some of the tested lake waters after only 4 days.
5.

Alpine synthetic communities inactivate human virus. Bacteria isolates were mixed to generate synthetic communities of 25 members. Communities 1 and 3 were created by mixing lakewater bacteria with less susceptibility to the “Alpine Phage Mix”. A control community was generated by mixing bacteria with the greatest susceptibility out of the 223 isolates. (A) To assess the inactivation capacity of each bacterial community, Echovirus 11 (E11) and Influenza A virus (IAV) were spiked into each community. Viral inactivation was determined (Log C/CO) against BGMK and MDCK cells for E11 and IAV, respectively, after 4 days. Each viral inactivation assay was performed in five replicates (n = 5) (B) Community composition at the end of the experiment was determined by extracting DNA from each community and sequencing the 16S gene using Oxford Nanopore Technologies (ONT). A one-way ANOVA with Tukey honest significant difference in R Studio was used for statistical analysis between viral decay values. Significant differences are indicated as follows: ***P < 0.001 **P < 0.01 and *P < 0.05.
We determined the bacteria composition of the three communities (1, 3 and control) before viral inoculation using 16S amplicon sequencing and confirmed the identity of individual bacteria using Sanger sequencing (Figure B). We found high relative abundance of genera Brevundimonas, Serratia, Pseudomonas and Stenotrophomonas species across the three communities (control and communities 1 and 3). On the other hand, genera Alcaligenes and Microbacterium species were shared between communities 1 and 3 but were not present in the control community. We also identified bacteria uniquely found in each community. Bacillus sp. and Staphylococcus sp. were uniquely present in community 1, and Allorrhizobium species were uniquely found and abundant in community 3. These genus have been identified and isolated in fresh water and alpine environments − and some of them have previously shown antiviral activity against plant pathogens. For example, a protease purified from a strain of Serratia marcescens protected tobacco plants against Tobacco Mosaic Virus (TMV), and secondary metabolites from Bacillus subtilis also have proven antiviral activity against RNA viruses and a pseudorabies virus (PVR). , While these antiviral compounds have been described in single isolates, their production and specific contribution to virus inactivation in mixed microbial communities remain unknown. It is important to note that bacteria sharing the same genus or species name are not necessarily identical: strain-level diversity within a single species encompass genomic and functional diversity, stress-response mechanisms, or secondary metabolite profiles. , Thus, even though some bacteria isolates identified and characterized in this study share genus or species identity with bacteria from other ecosystems, they are likely adapted to the environmental parameters associated with Swiss Alpine Lakes.
Moreover, the known host range of phages targeted by the g23 marker (T4-like myoviruses) includes a broad diversity of Gram-negative bacteria, such as members of the Enterobacteriaceae, Pseudomonadaceae, Aeromonadaceae, Vibrionaceae, and photosynthetic Cyanobacteria families, with most documented hosts belonging to the γ- and Betaproteobacteria. Our synthetic communities included bacteria from Pseudomonas, Serratia, Stenotrophomonas, Brevundimonas, and Alcaligenes genera. All these genera belong to the γ- or Betaproteobacteria and have well-documented susceptibility to T4-like myoviruses in the literature. , It is plausible that a substantial fraction of the isolates used in this study would be susceptible to tailed phages detectable by the g23 assay. However, it is important to note that phage resistance or susceptibility is rather acquired depending on the environmental pressure and it is not necessarily intrinsic of a specific genus or species.
Lastly, our laboratory has previously observed correlation between proteolytic activity of bacteria isolates and viral inactivation in lakewater. To characterize some of the mechanisms behind the observed antiviral activity, we assessed protease secretion by individual bacteria from each community. Bacteria isolates were individually grown in skim milk agar (Figure S2A) and proteolytic activity was determined by measuring degradation halos around individual colonies. We did not observe a difference between the proteolytic activity of the community members present on each of the phage resistant and susceptible communities (Figure S2B). Microbial viral degradation was first described by Cliver et al. (1972) and Ward et al. (1986). They showed antiviral activity of bacteria against enteroviruses and concluded that viral RNA was easily degraded after cleavage of viral proteins by proteolytic bacterial enzymes. , Other studies on the fish pathogen Koi-Herpesvirus have shown significantly faster inactivation with bacteria present compared to bacteria free samples. , They also suggest that proteases were likely responsible for the observed inactivation. Here, we were unable to find a correlation between viral inactivation and proteolytic activity of bacteria community members. This suggests that either our assays did not capture the relevant proteases associated with viral inactivation or that additional antibacterial mechanismschemical, enzymatic, or structuralcontribute to viral decay. Further work is needed to elucidate the specific mechanisms underlying viral inactivation by the enhanced synthetic communities described here and to characterize the contribution of each individual species in the community.
Since our previous results indicated that the developed synthetic communities exhibit antiviral activity against bacteriophages and human viruses, we hypothesized that they may possess broad-spectrum antiviral properties. To test this hypothesis, we performed viral inactivation assays against Potato Virus X (PVX) and Pepino Mosaic Virus (PepMV) using only synthetic community 3 as a proof of concept (Figure ). For these assays, community 3 was spiked with either plant virus, and then incubated at room temperature for 4 days. In parallel, both viruses were also diluted in PBS and incubated under the same conditions. These suspensions were used to mechanically inoculate tobacco plants and the infectivity of both viruses was assessed 19 days postinoculation (dpi). We observed a decrease of PVX infectivity from 79% of plants infected with PVX alone to just 1% following the incubation with community 3 (Figure A and B). In contrast, PepMV showed no infectivity reduction in the presence of community 3. (Figure D and E). These results suggest that community 3 exhibits broad-spectrum antiviral activity but also displays some specificity in the extent of viral inactivation across different viruses. As controls, we included 10 untreated plants (five plants per virus) to evaluate crossed contamination in the greenhouse (Plant controls - Figure C and F) and observed one plant control positive for PVX. We also inoculated plants with community 3 to assess bacteria pathogenesis against plants and observed no pathogenicity. These results support our working hypothesis and provide the first evidence of an association between resistance against phage infections and viral inactivation, although the underlying mechanism remains to be established. A broader range of human and plant viruses should be tested to better characterize the extent of the antiviral activity of the synthetic communities generated in this study.
6.

Bacterial Pool 3 shows antiviral activity against Potato Virus X (PVX). The antiviral activity of “Community 3” was assessed against Potato Virus X (PVX) and Pepino Mosaic Virus (PepMV). Both viruses were purified from tobacco plants and diluted into a PBS solution (A, D) or the “Community 3“ (B, E). Virus only and Virus + Community 3 were incubated at room temperature for 4 days and used to infect tobacco plants. After 15 days, leaves were taken from each plant to perform an ELISA assay against both viruses (in duplicate). Plant controls were incubated and processed as treated plants (C, D). Electron microscopy images were obtained by the authors.
3.5. Perspectives
In this study, we developed and applied an innovative strategy to construct two synthetic bacterial communities with enhanced broad-spectrum antiviral activity (against human and plant viruses) from environmental samples collected in 24 Swiss alpine lakes. We further demonstrated that alpine lakes exposed to extreme environmental conditions harbor bacterial populations with antiviral properties. This was consistent with our previous observations in lowland lakes such as Lake Geneva. Our results provide the first evidence of an association between resistance to indigenous environmental bacteriophages and inactivation of viral pathogens infecting diverse hosts, though the mechanistic basis of this relationship remains unresolved.
Beyond their ecological significance, these findings may have important implications for environmental biotechnology. The identification of bacterial taxa and communities with antiviral activity could support the development of biobased strategies to enhance viral removal in natural and engineered water systems. Furthermore, characterization of the molecular mechanisms involved may lead to the discovery of novel antiviral enzymes, metabolites, or extracellular products with applications in water treatment and environmental remediation. The successful assembly of synthetic communities with enhanced antiviral activity also highlights the potential of microbiome engineering approaches to design microbial consortia with tailored antiviral functions. Future research will aim to elucidate the molecular mechanisms underlying the broad-spectrum viral inactivation reported here.
Supplementary Material
Acknowledgments
This work was supported by the project ANTIVIRALPS (“Screening for novel antiviral compounds in alpine and polar lakes”) funded by the EPFL Science Seed Fund 2021, and the project HYDROVIR (“Optimizing the use of alpine lake water bacteria with antiviral properties to combat viral diseases in hydroponic cultures”) funded by the EPFL ENABLE Grant, 2022. The authors gratefully acknowledge Nathalie Dubuis for her assistance with plant virus preparation and sample analysis in Agroscope.
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.est.6c04400.
Correlation between viral decay and metabolic diversity of Alpine lakes; and date of sampling and altitude of alpine lakes sampled in this study (DOCX)
The authors declare no competing financial interest.
References
- Adhikari N. P., Adhikari S., Liu X., Shen L., Gu Z.. Bacterial Diversity in Alpine Lakes: A Review from the Third Pole Region. J. Earth Sci. 2019;30(no. 2):387–396. doi: 10.1007/s12583-018-1206-5. [DOI] [Google Scholar]
- Peter H., Sommaruga R.. Shifts in diversity and function of lake bacterial communities upon glacier retreat. ISME J. 2016;10(no. 7):1545–1554. doi: 10.1038/ismej.2015.245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brüssow H.. Bacteria between protists and phages: from antipredation strategies to the evolution of pathogenicity. Mol. Microbiol. 2007;65(no. 3):583–589. doi: 10.1111/j.1365-2958.2007.05826.x. [DOI] [PubMed] [Google Scholar]
- Vogt J. C., Olefeld J. L., Bock C., Boenigk J., Albach D. C.. Patterns of protist distribution and diversification in alpine lakes across Europe. MicrobiologyOpen. 2021;10(no. 4):e1216. doi: 10.1002/mbo3.1216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jończyk E., Kłak M., Międzybrodzki R., Górski A.. The influence of external factors on bacteriophagesreview. Folia Microbiol. 2011;56(no. 3):191–200. doi: 10.1007/s12223-011-0039-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sime-Ngando T.. Environmental bacteriophages: viruses of microbes in aquatic ecosystems. Front. Microbiol. 2014;5:355. doi: 10.3389/fmicb.2014.00355. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wommack K. E., Colwell R. R.. Virioplankton: Viruses in Aquatic Ecosystems. Microbiol. Mol. Biol. Rev. 2000;64(no. 1):69–114. doi: 10.1128/MMBR.64.1.69-114.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Suttle C. A.. Marine viruses major players in the global ecosystem. Nat. Rev. Microbiol. 2007;5(no. 10):801–812. doi: 10.1038/nrmicro1750. [DOI] [PubMed] [Google Scholar]
- Samson J. E., Magadán A. H., Sabri M., Moineau S.. Revenge of the phages: defeating bacterial defences. Nat. Rev. Microbiol. 2013;11(no. 10):675–687. doi: 10.1038/nrmicro3096. [DOI] [PubMed] [Google Scholar]
- Stern A., Sorek R.. The phage-host arms race: Shaping the evolution of microbes. BioEssays. 2011;33(no. 1):43–51. doi: 10.1002/bies.201000071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tesson F., Hervé A., Mordret E.. et al. Systematic and quantitative view of the antiviral arsenal of prokaryotes. Nat. Commun. 2022;13(no. 1):2561. doi: 10.1038/s41467-022-30269-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Doron S., Melamed S., Ofir G.. et al. Systematic discovery of antiphage defense systems in the microbial pangenome. Science. 2018;359(no. 6379):eaar4120. doi: 10.1126/science.aar4120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Goldfarb T., Sberro H., Weinstock E.. et al. BREX is a novel phage resistance system widespread in microbial genomes. EMBO J. 2015;34(no. 2):169–183. doi: 10.15252/embj.201489455. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bernheim A., Millman A., Ofir G.. et al. Prokaryotic viperins produce diverse antiviral molecules. Nature. 2021;589(no. 7840):120–124. doi: 10.1038/s41586-020-2762-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kronheim S., Daniel-Ivad M., Duan Z.. et al. A chemical defence against phage infection. Nature. 2018;564(no. 7735):283–286. doi: 10.1038/s41586-018-0767-x. [DOI] [PubMed] [Google Scholar]
- O’Hara B. J., Barth Z. K., McKitterick A. C., Seed K. D.. A highly specific phage defense system is a conserved feature of the Vibrio cholerae mobilome. PLOS Genet. 2017;13(no. 6):e1006838. doi: 10.1371/journal.pgen.1006838. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Helbig K. J., Beard M. R.. The Role of Viperin in the Innate Antiviral Response. J. Mol. Biol. 2014;426(no. 6):1210–1219. doi: 10.1016/j.jmb.2013.10.019. [DOI] [PubMed] [Google Scholar]
- Baker R. E., Mahmud A. S., Miller I. F.. et al. Infectious disease in an era of global change. Nat. Rev. Microbiol. 2022;20(no. 4):193–205. doi: 10.1038/s41579-021-00639-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bacon T. H., Levin M. J., Leary J. J., Sarisky R. T., Sutton D.. Herpes Simplex Virus Resistance to Acyclovir and Penciclovir after Two Decades of Antiviral Therapy. Clin. Microbiol. Rev. 2003;16(no. 1):114–128. doi: 10.1128/CMR.16.1.114-128.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carratalà, A. ; Shim, H. ; Zhong, Q. ; Bachmann, V. ; Jensen, J. D. ; Kohn, T. . Experimental adaptation of human echovirus 11 to ultraviolet radiation leads to resistance to disinfection and ribavirin Virus Evol. 2017; Vol. 3 no. 2 10.1093/ve/vex035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhong Q., Carratalà A., Shim H., Bachmann V., Jensen J. D., Kohn T.. Resistance of Echovirus 11 to ClO2 Is Associated with Enhanced Host Receptor Use, Altered Entry Routes, and High Fitness. Environ. Sci. Technol. 2017;51(no. 18):10746–10755. doi: 10.1021/acs.est.7b03288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Adamson C. S., Chibale K., Goss R. J. M., Jaspars M., Newman D. J., Dorrington R. A.. Antiviral drug discovery: preparing for the next pandemic. Chem. Soc. Rev. 2021;50(no. 6):3647–3655. doi: 10.1039/D0CS01118E. [DOI] [PubMed] [Google Scholar]
- Cliver D., Herrmann J.. Proteolytic and microbial inactivation of enteroviruses. Water Res. 1972;6(no. 7):797–805. doi: 10.1016/0043-1354(72)90032-2. [DOI] [Google Scholar]
- Ward R. L., Knowlton D. R., Winston P. E.. Mechanism of inactivation of enteric viruses in fresh water. Appl. Environ. Microbiol. 1986;52(no. 3):450–459. doi: 10.1128/aem.52.3.450-459.1986. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Corre M.-H., Bachmann V., Kohn T.. Bacterial matrix metalloproteases and serine proteases contribute to the extra-host inactivation of enteroviruses in lake water. ISME J. 2022;16(no. 8):1970–1979. doi: 10.1038/s41396-022-01246-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chaisuwan W., Phimolsiripol Y., Chaiyaso T.. et al. The Antiviral Activity of Bacterial, Fungal, and Algal Polysaccharides as Bioactive Ingredients: Potential Uses for Enhancing Immune Systems and Preventing Viruses. Front. Nutr. 2021;8:772033. doi: 10.3389/fnut.2021.772033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Amaral-Zettler L. A., McCliment E. A., Ducklow H. W., Huse S. M.. A Method for Studying Protistan Diversity Using Massively Parallel Sequencing of V9 Hypervariable Regions of Small-Subunit Ribosomal RNA Genes. PLoS One. 2009;4(no. 7):e6372. doi: 10.1371/journal.pone.0006372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stoeck T., BASS D., NEBEL M.. et al. Multiple marker parallel tag environmental DNA sequencing reveals a highly complex eukaryotic community in marine anoxic water. Mol. Ecol. 2010;19(no. s1):21–31. doi: 10.1111/j.1365-294X.2009.04480.x. [DOI] [PubMed] [Google Scholar]
- Zhu F., Massana R., Not F., Marie D., Vaulot D.. Mapping of picoeucaryotes in marine ecosystems with quantitative PCR of the 18S rRNA gene. FEMS Microbiol. Ecol. 2005;52(no. 1):79–92. doi: 10.1016/j.femsec.2004.10.006. [DOI] [PubMed] [Google Scholar]
- Olive M., Gan C., Carratalà A., Kohn T.. Control of Waterborne Human Viruses by Indigenous Bacteria and Protists Is Influenced by Temperature, Virus Type, and Microbial Species. Appl. Environ. Microbiol. 2020;86(no. 3):e01992–19. doi: 10.1128/AEM.01992-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mahillon M., Brodard J., Kellenberger I., Blouin A. G., Schumpp O.. A novel weevil-transmitted tymovirus found in mixed infection on hollyhock. Virol. J. 2023;20(no. 1):17. doi: 10.1186/s12985-023-01976-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- David S. C., Vadas O., Glas I.. et al. Inactivation mechanisms of influenza A virus under pH conditions encountered in aerosol particles as revealed by whole-virus HDX-MS. mSphere. 2023;8(no. 5):e00226–23. doi: 10.1128/msphere.00226-23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Romanenko A., Peter H., Meibom J., Borchardt M. A., Kohn T.. Diversity of lake bacteria promotes human echovirus inactivation. Appl. Environ. Microbiol. 2025;91(no. 2):e02366–24. doi: 10.1128/aem.02366-24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Larivé O., Brandani J., Dubey M., Kohn T.. An integrated cell culture reverse transcriptase quantitative PCR (ICC-RTqPCR) method to simultaneously quantify the infectious concentrations of eight environmentally relevant enterovirus serotypes. J. Virol. Methods. 2021;296:114225. doi: 10.1016/j.jviromet.2021.114225. [DOI] [PubMed] [Google Scholar]
- Motos G., Schaub A., David S. C.. et al. Dependence of aerosol-borne influenza A virus infectivity on relative humidity and aerosol composition. Front. Microbiol. 2024;15:1484992. doi: 10.3389/fmicb.2024.1484992. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ács N., Gambino M., Brøndsted L.. Bacteriophage Enumeration and Detection Methods. Front. Microbiol. 2020;11:594868. doi: 10.3389/fmicb.2020.594868. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bacteriophages . In Methods Mol. Biol.; Clokie, M. R. J. ; Kropinski, A. M. , Eds.; Humana Press: Totowa, NJ, 2009; Vol. 501. [Google Scholar]
- Filée J., Tétart F., Suttle C. A., Krisch H. M.. Marine T4-type bacteriophages, a ubiquitous component of the dark matter of the biosphere. Proc. Natl. Acad. Sci. U.S.A. 2005;102(no. 35):12471–12476. doi: 10.1073/pnas.0503404102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zang L., Liu Y., Song X.. et al. Unique T4-like phages in high-altitude lakes above 4500 m on the Tibetan Plateau. Sci. Total Environ. 2021;801:149649. doi: 10.1016/j.scitotenv.2021.149649. [DOI] [PubMed] [Google Scholar]
- Adams A. N., Clark M. F.. Characteristics of the Microplate Method of Enzyme-Linked Immunosorbent Assay for the Detection of Plant Viruses. J. Gen. Virol. 1977;34(no. 3):475–483. doi: 10.1099/0022-1317-34-3-475. [DOI] [PubMed] [Google Scholar]
- Matoute A., Maestri S., Saout M.. et al. Meat-Borne-Parasite: A Nanopore-Based Meta-Barcoding Work-Flow for Parasitic Microbiodiversity Assessment in the Wild Fauna of French Guiana. Curr. Issues Mol. Biol. 2024;46(no. 5):3810–3821. doi: 10.3390/cimb46050237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu C., Cui Y., Li X., Yao M.. microeco : an R package for data mining in microbial community ecology. FEMS Microbiol. Ecol. 2021;97(no. 2):fiaa255. doi: 10.1093/femsec/fiaa255. [DOI] [PubMed] [Google Scholar]
- Wickham H., Averick M., Bryan J.. et al. Welcome to the Tidyverse. J. Open Source Software. 2019;4(no. 43):1686. doi: 10.21105/joss.01686. [DOI] [Google Scholar]
- Wickham, H. Ggplot2: Elegant Graphics for Data Analysis.; Springer-Verlag New York, 2016. [Google Scholar]
- Wang R., Han R., Long Q.. et al. Bacterial and Archaeal Communities within an Ultraoligotrophic, High-altitude Lake in the Pre-Himalayas of the Qinghai-Tibet Plateau. Indian J. Microbiol. 2020;60(no. 3):363–373. doi: 10.1007/s12088-020-00881-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fujioka R. S., Loh P. C., Lau L. S.. Survival of Human Enteroviruses in the Hawaiian Ocean Environment: Evidence for Virus-Inactivating Microorganismst. Appl. Env. Microbiol. 1980;39:1105–1110. doi: 10.1128/aem.39.6.1105-1110.1980. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kaabi S. A. G., Musafer H. K.. New Phage cocktail against infantile Sepsis bacteria. Microb. Pathog. 2020;148:104447. doi: 10.1016/j.micpath.2020.104447. [DOI] [PubMed] [Google Scholar]
- Vincent K., Holland-Moritz H., Solon A. J., Gendron E. M. S., Schmidt S. K.. Crossing Treeline: Bacterioplankton Communities of Alpine and Subalpine Rocky Mountain Lakes. Front. Microbiol. 2022;12:533121. doi: 10.3389/fmicb.2021.533121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Anagnostopoulos D. A., Parlapani F. F., Natoudi S.. et al. Bacterial Communities and Antibiotic Resistance of Potential Pathogens Involved in Food Safety and Public Health in Fish and Water of Lake Karla, Thessaly, Greece. Pathogens. 2022;11(no. 12):1473. doi: 10.3390/pathogens11121473. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shao K., Qin B., Chao J., Gao G.. Sediment Bacteria in the Alpine Lake Sayram: Vertical Patterns in Community Composition. Microorganisms. 2023;11(no. 11):2669. doi: 10.3390/microorganisms11112669. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Qin Y., Wang J., Wang F.. et al. Purification and Characterization of a Secretory Alkaline Metalloprotease with Highly Potent Antiviral Activity from Serratia marcescens Strain S3. J. Agric. Food Chem. 2019;67(no. 11):3168–3178. doi: 10.1021/acs.jafc.8b06909. [DOI] [PubMed] [Google Scholar]
- Wang X., Hao G., Zhou M., Chen M., Ling H., Shang Y.. Secondary metabolites of Bacillus subtilis L2 show antiviral activity against pseudorabies virus. Front. Microbiol. 2023;14:1277782. doi: 10.3389/fmicb.2023.1277782. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yuan L., Zhang S., Peng J., Li Y., Yang Q.. Synthetic surfactin analogues have improved anti-PEDV properties. PLoS One. 2019;14(no. 4):e0215227. doi: 10.1371/journal.pone.0215227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rodriguez-Valera F., Ussery D. W.. Is the pan-genome also a pan-selectome? F1000Research. 2012;1:16. doi: 10.12688/f1000research.1-16.v1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tettelin H., Masignani V., Cieslewicz M. J.. et al. Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae : Implications for the microbial ‘pan-genome. Proc. Natl. Acad. Sci. U.S.A. 2005;102(no. 39):13950–13955. doi: 10.1073/pnas.0506758102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Petrov V. M., Ratnayaka S., Nolan J. M., Miller E. S., Karam J. D.. Genomes of the T4-related bacteriophages as windows on microbial genome evolution. Virol. J. 2010;7(no. 1):292. doi: 10.1186/1743-422X-7-292. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tétart F., Desplats C., Kutateladze M., Monod C., Ackermann H.-W., Krisch H. M.. Phylogeny of the Major Head and Tail Genes of the Wide-Ranging T4-Type Bacteriophages. J. Bacteriol. 2001;183(no. 1):358–366. doi: 10.1128/JB.183.1.358-366.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Labrie S. J., Samson J. E., Moineau S.. Bacteriophage resistance mechanisms. Nat. Rev. Microbiol. 2010;8(no. 5):317–327. doi: 10.1038/nrmicro2315. [DOI] [PubMed] [Google Scholar]
- Cliver D. O.. Experimental Infection by Waterborne Enteroviruses. J. Food Prot. 1981;44(no. 11):861–865. doi: 10.4315/0362-028X-44.11.861. [DOI] [PubMed] [Google Scholar]
- Amtmann A., Ahmed I., Zahner-Rimmel P.. et al. Virucidal effects of various agentsincluding proteaseagainst koi herpesvirus and viral haemorrhagic septicaemia virus. J. Fish Dis. 2020;43(no. 2):185–195. doi: 10.1111/jfd.13106. [DOI] [PubMed] [Google Scholar]
- Shimizu T., Yoshida N., Kasai H., Yoshimizu M.. Survival of Koi Herpesvirus (KHV) in Environmental Water. Fish Pathol. 2006;41(no. 4):153–157. doi: 10.3147/jsfp.41.153. [DOI] [Google Scholar]
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