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Efforts to identify and characterize strategies for horizontal gene transfer (HGT) in prokaryotes could have overlooked some mechanisms that do not entirely fit in with the canonical ones most often described (conjugation of plasmids, phage transduction and transformation). The difficulty in distinguishing the different HGT strategies could have contributed to underestimate their real extent. Here we review non classical HGT strategies: some that require mobile genetic elements (MGEs) and others independent of MGE. Among those strategies that require MGEs, there is a range of newly reported, hybrid and intermediate MGEs mobilizing only their own DNA, others that mobilize preferentially bacterial DNA, or both. Considering HGT strategies independent of MGE, a few are even not restricted to DNA transfer, but can also mobilize other molecules. This review considers those HGT strategies that are less commonly dealt with in the literature. The real impact of these elements could, in some conditions, be more relevant than previously thought.

The spread of antibiotic resistance genes (ARGs) in the environment is a serious concern. Bacterial ARGs can spread via different mobile genetic elements as phage particles, which thereby emerge as novel vectors for environmental dissemination. To assess how climate events, such as heavy rains or water scarcity, could affect the spread of ARGs, it is necessary to know their prevalence and abundance in aquatic environments as well as the potential reservoirs from which they could become mobile. This study evaluates the occurrence of ARGs in the water and sediment of a Mediterranean river. Six clinically relevant ARGs (blaTEM, blaCTX-M, qnrA, qnrS, mecA and sul1) were quantified by qPCR in the bacterial and phage fractions of 69 water and 70 sediment samples from the River Llobregat (NE Spain), collected during both dry and rainy periods. blaTEM and sul1 were the most prevalent and abundant ARGs; the others were more variable. Significant seasonal differences in ARG prevalences and abundances were observed. Since ARGs were detected in the sediment, the persistence of the most abundant ARGs naturally occurring in that sediment (blaTEM and sul1) was evaluated under three conditions. No ARG inactivation occurred in fresh sediment over 14 days; while the ARGs declined by less than 2 log10 units over 35 days in semi-dry and dry sediment. The occurrence of ARGs in water and sediment is influenced by seasonal conditions and they can be mobilized by bacteria and phage particles. In sediment, ARGs persist for long periods and hence sediment can be a natural reservoir of ARGs, from where they can spread and cause the emergence of new resistant strains.

The emergence and prevalence of antibiotic resistance genes (ARGs) in the environment is a serious global health concern. ARGs from bacteria can be mobilized by mobile genetic elements, and recent studies indicate that phages and phage-derived particles, among others, could play a role in the spread of ARGs through the environment. ARGs are abundant in the bacterial and bacteriophage fractions of water bodies and for successful transfer of the ARGs, their persistence in these environments is crucial. In this study, three ARGs (blaTEM, blaCTX-M and sul1) that naturally occur in the bacterial and phage fractions of raw wastewater were used to evaluate the persistence of ARGs at different temperatures (4 °C, 22 °C and 37 °C) and pH values (3, 7 and 9), as well as after various disinfection treatments (thermal treatment, chlorination and UV) and natural inactivation in a mesocosm. Gene copies (GC) were quantified by qPCR; then the logarithmic reduction and significance of the differences between their numbers were evaluated. The ARGs persisted for a long time with minimal reductions after all the treatments. In general, they showed greater persistence in the bacteriophage fraction than in the bacterial fraction. Comparisons showed that the ARGs persisted under conditions that reduced culturable Escherichia coli and infectious coliphages below the limit of detection. The prevalence of ARGs, particularly in the bacteriophage fraction, poses the threat of the spread of ARGs and their incorporation into a new bacterial background that could lead to the emergence of new resistant clones.

F-specific coliphages have been proposed as viral indicators of fecal pollution. These intestinal phages infect cells through the F-pili of the host strains used for their detection, Escherichia coli HS/FAmp in the US-EPA standard method and Salmonella enterica WG49 in the ISO method. The recently designed Bluephage protocol allows the rapid detection of as low as one somatic coliphage in a working day. The current study describes a new Bluephage method designed to exclusively detect F-specific phages. It employs two new host strains, CB14 and CB16, which detect the same number of F-specific phages as their respective parental strains HS and WG49. In the Bluephage method, when the strain is lysed by bacteriophage infection, the yellow medium turns blue. As low as one F-specific phage was detected in 3 to 5 hours by this approach and when the sample contained high phage concentrations, results were obtained in less than 3 hours. The F-specific Bluephage method can be used with different sample volumes and allows phage quantification by the most probable number technique. Strain CB14 performed more consistently than CB16, with comparable detection efficiency after increasing the incubation time to 50 minutes without shaking.

In this study we use a machine learning software (Ichnaea) to generate predictive models for water samples with different concentrations of fecal contamination (point source, moderate and low). We applied several MST methods (host-specific Bacteroides phages, mitochondrial DNA genetic markers, Bifidobacterium adolescentis and Bifidobacterium dentium markers, and bifidobacterial host-specific qPCR), and general indicators (Escherichia colt, enterococci and somatic coliphages) to evaluate the source of contamination in the samples. The results provided data to the Ichnaea software, that evaluated the performance of each method in the different scenarios and determined the source of the contamination. Almost all MST methods in this study determined correctly the origin of fecal contamination at point source and in moderate concentration samples. When the dilution of the fecal pollution increased (below 3 log(10) CPU E. coli/100 ml) some of these indicators (bifidobacterial host-specific qPCR, some mitochondrial markers or B. dentium marker) were not suitable because their concentrations decreased below the detection limit. Using the data from source point samples, the software Ichnaea produced models for waters with low levels of fecal pollution. These models included some MST methods, on the basis of their best performance, that were used to determine the source of pollution in this area. Regardless the methods selected, that could vary depending on the scenario, inductive machine learning methods are a promising tool in MST studies and may represent a leap forward in solving MST cases.

The emergence and increased prevalence of antibiotic resistance genes (ARGs) in the environment may pose a serious global health concern. This study evaluates the abundance of several ARGs in bacterial and bacteriophage DNA via real-time qPCR in samples from five different sampling points in Tunisia; three wastewater treatment plants (WWTP 1, 2 and 3) and wastewater from two abattoirs slaughtering different animals. Results are compared with those obtained in the Barcelona area, in northeast Spain.Eight ARGs were quantified by qPCR from total and phage DNA fraction from the samples. Three β-lactamases (blaTEM, blaCTX-M cluster 1 and blaCTX-M cluster 9), two quinolone resistance genes (qnrA and qnrS), the mecA gene that confers resistance to methicillin in Staphylococcus aureus, the emerging armA gene, conferring resistance to aminoglycosides and sul1, the most extended gene conferring resistance to sulfonamides, were evaluated.Sul1 and blaTEM were the most prevalent ARGs detected at all five Tunisian sampling points, similarly with the observations in Barcelona. blaCTX-M-9 was more prevalent than blaCTX-M-1 both in bacterial and DNA within phage particles in all samples analysed. mecA and armA were almost absent in Tunisian waters from human or animal origin in contrast with Barcelona that showed a medium prevalence. qnrA was more prevalent than qnrS in bacterial and phage DNA from all sampling points.In conclusion, our study shows that ARGs are found in the bacterial and is reflected in the phage DNA fraction of human and animal wastewaters. The densities of each ARGs vary depending on the ARGs shed by each population and is determined by the characteristics of each area. Thus, the evaluation of ARGs in wastewaters seems to be suitable as marker reflecting the antibiotic resistance patterns of a population. Keywords: Bacteriophages, Antibiotic resistance, β-lactamases, Quinolones, Sul1, Sewage water

The rates of foodborne disease caused by gastrointestinal pathogens continue to be a concern in both the developed and developing worlds. The growing world population, the increasing complexity of agri-food networks and the wide range of foods now associated with STEC are potential drivers for increased risk of human disease. It is vital that new developments in technology, such as whole genome sequencing (WGS), are effectively utilized to help address the issues associated with these pathogenic microorganisms. This position paper, arising from an OECD funded workshop, provides a brief overview of next generation sequencing technologies and software. It then uses the agent-host-environment paradigm as a basis to investigate the potential benefits and pitfalls of WGS in the examination of (1) the evolution and virulence of STEC, (2) epidemiology from bedside diagnostics to investigations of outbreaks and sporadic cases and (3) food protection from routine analysis of foodstuffs to global food networks. A number of key recommendations are made that include: validation and standardization of acquisition, processing and storage of sequence data including the development of an open access "WGSNET"; building up of sequence databases from both prospective and retrospective isolates; development of a suite of open-access software specific for STEC accessible to non-bioinformaticians that promotes understanding of both the computational and biological aspects of the problems at hand; prioritization of research funding to both produce and integrate genotypic and phenotypic information suitable for risk assessment; training to develop a supply of individuals working in bioinformatics/software development; training for clinicians, epidemiologists, the food industry and other stakeholders to ensure uptake of the technology and finally review of progress of implementation of WGS. Currently the benefits of WGS are being slowly teased out by academic, government, and industry or private sector researchers around the world. The next phase will require a coordinated international approach to ensure that it's potential to contribute to the challenge of STEC disease can be realized in a cost effective and timely manner.

Water contaminated with human faeces is a risk to human health and management of water bodies can be improved by determining the sources of faecal pollution. Field studies show that existing methods are insufficient and that different markers are required. This study proposes the combined use of two microbial indicators, the concentrations of which are presented as ratios. This provides a more reliable approach to identifying faecal sources as it avoids variation due to treatment or ageing of the contamination. Among other indicators, bacteriophages have been proposed as rapid and cheap indicators of faecal pollution. Samples analysed in this study were derived from wastewater treatment plants (raw sewage, secondary and tertiary effluents and raw sewage sludge) river water, seawater and animal related wastewater. The abundance ratios of faecal coliforms and Bacteroides phages, either strain RYC2056 (non-specific for faecal origin) or strain GA17 (specific for human pollution), and among somatic coliphages and phages infecting both Bacteroides strains, were evaluated. The results indicate that the ratio of somatic coliphages and phages infecting Bacteroides strain GA17, which is specific to human faecal sources, provides a robust method for discriminating samples, even those presenting different levels and ages of pollution, and allows samples polluted with human faeces to be distinguished from those containing animal faecal pollution. This method allows the generation of numerical data that can be further applied to numerical methods for faecal pollution discrimination.

The four subgroups of F-specific RNA bacteriophages (I–IV) have been proposed as potential tracers for faecal source tracking. Groups II and III predominate in human sources while groups I and IV are most abundant in animal sources. The four subgroups of naturally occurring F-specific RNA bacteriophages were identified in different samples by plaque hybridization with genotype-specific probes and the persistence of each subgroup was evaluated. The proportions of the F-specific RNA bacteriophage subgroups were measured in wastewaters, after inactivation in surface waters or after wastewater treatment and in mixtures of wastewater of human and animal origin. Our results indicate that phage groups differ in their persistence in the environment and to different disinfecting treatments. The greater survival of subgroups I and II in treated samples hinders the interpretation of results obtained with F-specific RNA bacteriophages. The phages of subgroups III and IV were the least resistant to all treatments. These results should be considered when using genotypes of F-specific RNA as sole tracers for faecal source tracking.

A membrane of inorganic material with a honeycomb pore structure was used to concentrate phages infecting Bacteroides fragilis from drinking water. Phages were removed from the membrane with 0.25 M glycine buffer pH 9.5. Phages were not inactivated by storage in this buffer neutralized to pH 7.0 for at least 9 days at 4 degrees C. The method allows recovery of around 50% in drinking water. When the turbidity of the water increased, the efficiency of the concentration decreased markedly. The efficiency of concentration was evaluated versus a presence/absence test in 317 water samples with turbidity level below the threshold of drinking water. Results obtained by concentration of 11 provided data which were significantly more informative than the presence/absence tests carried out on 100 ml. A number of additional tests carried out with both somatic and F-specific coliphages indicated that these conclusions can be extended to these groups of bacteriophages.

Low-protein-binding membranes with a pore size of 0.22 microm are used to filter aqueous solutions containing viruses. Virus adsorption to the membranes is avoided if they are made of polyvinylidene fluoride (PVDF) or if they are made of cellulose esters saturated with beef extract. Recently, a new kind of membrane filter made of polyether sulfone (PES) has become available commercially. The manufacturers claim that such membranes allow the filtration of greater volumes of sample than those made of PVDF. We compared the filtration rate and volume that could be filtered before clogging for these two membranes. The bacteriophage and enterovirus counts were then compared in sewage after filtration through the two membranes. There were no differences in virus recovery after filtration, but PES membranes allowed a higher filtration rate and clogged more slowly. The use of PES membranes is recommended.