Skip to main content

ORIGINAL RESEARCH article

Front. Microbiol., 03 September 2020
Sec. Microbial Physiology and Metabolism
This article is part of the Research Topic XXXIII SIMGBM Congress 2019 - Environmental And Industrial Microbiology View all 11 articles

An Environmental Escherichia coli Strain Is Naturally Competent to Acquire Exogenous DNA

  • 1Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, Milan, Italy
  • 2Molecular Ecology Group, National Research Council - Water Research Institute (CNR-IRSA), Verbania, Italy
  • 3Institut Cavanilles de Biodiversitat i Biologia Evolutiva, Universitat de València, Valencia, Spain

The diffusion of antibiotic resistance determinants in different environments, e.g., soil and water, has become a public concern for global health and food safety and many efforts are currently devoted to clarify this complex ecological and evolutionary issue. Horizontal gene transfer (HGT) has an important role in the spread of antibiotic resistance genes (ARGs). However, among the different HGT mechanisms, the capacity of environmental bacteria to acquire naked exogenous DNA by natural competence is still poorly investigated. This study aimed to characterize the ability of the environmental Escherichia coli strain ED1, isolated from the crustacean Daphnia sp., to acquire exogenous DNA by natural competence. Transformation experiments were carried out varying different parameters, i.e., cell growth phase, amount of exogenous DNA and exposition to artificial lake water (ALW) and treated wastewater to mimic environmental-like conditions that may be encountered in the agri-food system. Results were compared with those showed by the laboratory E. coli strain DH5α. Our experimental data, supported by genomic sequencing, showed that, when exposed to pure water, ED1 strain was able to acquire exogenous DNA with frequencies (10–8–10–9) statistically higher than the ones observed for DH5α strain (10–10). Interestingly, higher values were retrieved for ED1 than DH5α strains exposed to ALW (10–7 vs. 10–9, respectively) or treated wastewater (10–8 vs. 10–10, respectively). We tested, therefore, ED1 strain ability to colonize the rhizosphere of lettuce, a model plant representative of raw-consumed vegetables of high economic importance in the ready-to-eat food industry. Results showed that ED1 strain was able to efficiently colonize lettuce rhizosphere, revealing a stable colonization for 14 days-long period. In conclusion, ED1 strain ability to acquire exogenous DNA in environmental-like conditions by natural competence, combined with its ability to efficiently and stably colonize plant rhizosphere, poses the attention to food and human safety showing a possible route of diffusion of antibiotic resistance in the agri-food system, sustaining the “One Health” warnings related to the antibiotic spread.

Introduction

Antibiotic Resistance (AR) is a public concern for global health. About 700,000 people die every year from antibiotic resistant bacteria-infections and 10 million annual deaths caused by antibiotic resistant pathogens are estimated by 2050 (Lim et al., 2019). In the last century, antibiotics have been widely used in medicine, plant production and livestock industries, imposing a strong selective pressure on the environmental microbial communities (Van Hoek et al., 2011). The exposition of bacteria to a sub-lethal concentration of antibiotics has led to the generation and diffusion of antibiotic resistant bacteria (ARB), through mutations and horizontal gene transfer (HGT) of antibiotic resistance genes (ARGs) (Smalla et al., 2018). This can be particularly enhanced in specific hot spots of natural and engineered ecosystems, such as mycosphere, residuesphere, rhizosphere and wastewater treatment plants (WWTPs) (Eckert et al., 2018; Riva et al., 2020). The spread of ARGs in different environments linked to anthropogenic activities has been largely demonstrated: for example, long-term applications of sewage sludge and chicken manure can improve the abundance and the diversity of ARGs and ARB in soil (Chen et al., 2016), while WWTPs can be considered as one of the main ARGs’ contaminated aquatic systems for both ARB and free DNA (Czekalski et al., 2014; Amos et al., 2015). Despite several studies have described the presence and spread of ARGs and ARB in the environment, some gaps of knowledge about the selection, evolution, persistence and HGT of ARGs remain to be unveiled (Larsson et al., 2018; Smalla et al., 2018).

HGT is crucial for bacterial adaptation to new environments and, consequently, for bacterial evolution. DNA transfer is generally accomplished by three “classical” mechanisms, namely transduction, conjugation and transformation (Sun, 2018). While in transduction and conjugation specific apparatuses are required to transfer DNA from donor to recipient cells, i.e., phage virions and conjugative pili, respectively, in transformation the acquisition of DNA is usually transient and linked to the capability of the bacterial cells to express competence at a specific physiological phase. Concerning the environmental ARG diffusion through HGT mechanisms, researchers have highlighted that many aspects have yet to be clarified, e.g., the contribution of the different mechanisms to ARG spread or the drivers of gene transfer (Smalla et al., 2018). For instance, since conjugation-based experiments are more feasible in laboratory and field conditions than those based on the other HGT mechanisms, this might have underestimated the importance of transformation or transduction (Smalla et al., 2018).

Natural competence for transformation is a specific physiological state in which bacteria are able to acquire genetic material from their surroundings. The acquired DNA can be then integrated into the bacterial genome or be maintained as a plasmid in the cell (Blokesch, 2016). There are more than 80 prokaryotic species described to be naturally transformable and different species and strains can show peculiar traits: for instance, Vibrio cholerae has been described to acquire DNA in presence of chitin (Meibom et al., 2005), while Acinetobacter baylyi is constitutively competent for transformation with frequency rates depending on the bacterial growth phase (Blokesch, 2016; Domingues et al., 2019). For a long time, Escherichia coli has not been considered a naturally transformable bacterium. E. coli is routinely forced to acquire exogenous DNA by artificial laboratory treatments, i.e., following the exposure to (i) solutions with high concentrations of divalent metal ions followed by heat shock, (ii) polyethylene glycol solutions, or (iii) electrical shock pulses (Hasegawa et al., 2018). Nonetheless, in some specific conditions, not related to the artificial transformation, E. coli has been demonstrated capable to acquire exogenous DNA, e.g., in contact with environmental waters (Baur et al., 1996; Woegerbauer et al., 2002; Ishimoto et al., 2008), in food extracts (Maeda et al., 2003) or after freeze-thaw processes. Besides the “classical” exogenous DNA uptake machinery of natural transformation, based on conserved proteins for the transport of single-stranded DNA (ssDNA) into the cell cytoplasm, two new routes of DNA acquisition by transformation have been recently identified in this species. In the first way, double-stranded DNA (dsDNA) is internalized into E. coli cells on agar plates, while the second DNA uptake mechanism depends on a cell-to-cell contact, not related to conjugation, and occurs in a colony on agar plates (Sun et al., 2006, 2009; Etchuuya et al., 2011; Sun, 2018). While the latter mechanism has been recently reported to be induced by a P1vir bacteriophage (Sugiura et al., 2017), the former foresees the participation of several proteins, among which researchers have so far identified ydcS and ydcV genes, encoding for a putative periplasmic protein and a putative inner membrane protein, respectively (both located on the putative ABC transporter ydcSTUV operon for putrescine transport; Sun, 2016) and the general stress response regulator factor RpoS (Zhang et al., 2012; Sun, 2016).

One of the main recognized routes that could allow AR spread in environments related to the agri-food system is the use of reclaimed water for irrigation purposes. Nowadays the water reuse represents a common practice in several countries and is considered a priority also by the European water management policy to combat the water crisis exacerbated by global warming (Riva et al., 2020). Indeed, at least 20 million hectares of croplands worldwide are irrigated with urban treated wastewater (Bouaroudj et al., 2019). WWTPs have been indicated as one of the main contributors of both cell bound and free ARGs for the aquatic systems (Czekalski et al., 2014; Amos et al., 2015; Li et al., 2018; Zhang et al., 2018); the reuse of treated wastewater for irrigation purposes would enter the food production and could contribute to the diffusion of ARGs that finally could potentially be acquired by pathogenic strains. Indeed, it has been found that WWTPs can promote, in the water in which the effluents are released, the stabilization of a resistome derived principally from treated wastewaters (Corno et al., 2019), making the freshwater bodies reservoirs of ARGs (Di Cesare et al., 2015). The ability of E. coli to acquire and transfer exogenous DNA (Hasegawa et al., 2018; Sun, 2018), together with its capability to survive and thrive in different habitats (i.e., water, rhizospheric soil or human gut; Van Elsas et al., 2011; Raimondi et al., 2019), where the presence of ARGs has been reported (Du et al., 2020; Osińska et al., 2020) and HGT can be enhanced (i.e., rhizosphere, Chen et al., 2019), could pose a risk for the food safety and public health (Krzeminski et al., 2019). This risk could be high for fresh products such as spinach, sprout, and lettuce, which are generally consumed as raw vegetables (Shen et al., 2019). Indeed, antibiotic resistant bacteria belonging to the pathogenic species E. coli and Salmonella enterica have been already reported in farm environments and fresh products, including lettuce and ready-to-eat food (Nüesch-Inderbinen et al., 2015; Araújo et al., 2017; Schierstaedt et al., 2019; Perera et al., 2020; Yang et al., 2020).

In the framework of “One Health” approach, this study aimed to (i) characterize the possible acquisition of exogenous DNA by an environmental strain of E. coli mimicking the conditions that may be encountered in the agri-food system, and to (ii) study the E. coli strain capacity to colonize plant rhizosphere, using soil potted lettuce as model system.

Materials and Methods

Strains and Media

Escherichia coli strain ED1 was isolated from individuals of Daphnia sp. collected from a small rainwater-fed pond in the garden of the CNR-IRSA, Verbania, Italy. Thirty daphnids (in triplicates) were washed in sterile Milli-Q water, crushed and sonicated (3 times, 1 min each cycle with a shaking application by vortexing between cycles) in 1 ml of 2M NaCl. Serial 10-fold dilutions were prepared and filtered on nitrocellulose membrane filters (type GSWP, 25 mm diameter, 0.22 μm pore size, Millipore) which were placed onto agar plates of the selective medium mFC (Biolife) and incubated for 24–48 h at 37°C. Once colonies of presumptive E. coli (blue color on mFC agar) appeared on plates, they were purified by streaking three times and then stored in 25% glycerol solutions at −80°C. A small amount of the bacterial biomass was then introduced in 1 ml of 2M NaCl, centrifuged (5000 g, 10 min, 4°C), boiled 15 min, frozen for 2–4 h and finally centrifuged as before. One of the isolate, named ED1, was identified as an E. coli strain due to positive amplification of the uidA gene (Srinivasan et al., 2011) by PCR as described elsewhere (Sabatino et al., 2015).

Preparation of Transforming Exogenous DNA

Transformations were carried out by using pCRTMII-TOPO® (Invitrogen) plasmid carrying ampicillin and kanamycin resistance genes. The plasmid was extracted from the strain E. coli Mach1TM T1 Phage-Resistant pCRTMII-TOPO® using the QIAPrep® Spin Miniprep Kit (Qiagen, Milan, Italy) following the manufacturer instructions. The plasmid was quantified by measuring the optical density at 260 nm wavelength in a spectrophotometer (BIO RAD SmartSpecTM 3000).

Natural Transformation Protocol

Precultures of ED1 and DH5α strains were firstly grown in 25 ml of LB liquid medium overnight at 37°C with shaking. Then, 1 ml of cultures were diluted in 100 ml of LB and incubated at 37°C until the cells reached early exponential or stationary growth phases, i.e., at optical densities at 600 nm (OD600 nm) of 0.4–0.5 or 2, respectively. Forty milliliter of cells were then centrifuged twice with Milli-Q water for 10 min at 2700 g and finally resuspended in 500 μl of the same washing buffer. All centrifugation steps were performed at room temperature (RT) between 20 and 23°C. Four aliquots of 100 μl of cells were prepared, and the proper quantities of plasmidic DNA were added and gently mixed, without pipetting (the mixture is hereafter named as transformation mixture). The remaining 100 μl-cells aliquot was used as negative control (no DNA was added). Samples were incubated at RT for 1 h: three aliquots were then plated on LB plates added with ampicillin (100 μg/ml), while the fourth aliquot was serially diluted (from the undiluted sample to -8) and used to evaluate (in triplicate) the total cell count on LB agar plates without the antibiotic selection. Aliquot of negative control was plated as well on LB plates added with ampicillin (100 μg/ml). All the plates were kept at 37°C overnight. Experiments were performed with three biological replicates. Putative colonies of transformants, retrieved by ampicillin selection, were then streaked on LB plates added with kanamycin (100 μg/ml). Both ED1 and DH5α strains are sensitive to 100 μg/ml ampicillin, 100 μg/ml kanamycin and 50 μg/ml rifampicin. To further confirm the plasmid acquisition, kanamycin-resistant colonies were also subjected to PCR amplification. Transformation frequencies were calculated as the ratio between the number of transformants and the total number of culturable cells (about 109 cell/ml in case of cells harvested at the exponential phase and 1010 cell/ml in case of cells harvested at the stationary phase). Bacterial transformation was performed using 0.25, 0.5, 1, and 2 μg of plasmidic DNA.

Transformation protocols were then carried out using cells collected at the early exponential phase and exposing them to 2 μg of plasmidic DNA in two different types of water as washing and incubation buffers: besides Milli-Q water (pH 6.23) we used (i) artificial lake water (ALW, pH 7.69) prepared modifying the protocol of Zotina et al. (2003) in regard to the inorganic medium components (Supplementary Table 1), and (ii) water collected from the effluent of a WWTP located in Verbania (pH 6.84; water sampled on December 10th, 2019; Supplementary Table 1), serving 51,000 population equivalent and equipped with chlorination as disinfection process (Di Cesare et al., 2016). In order to reduce the presence of environmental bacteria, water samples were filtered through nitrocellulose membrane filters with 0.22 μm pore size (Millipore).

DNase sensitivity was tested by adding DNase I to the transformation mixture at different times, e.g., immediately after the transformation mixture preparation and after 1, 3, 4, 6, and 18 h from the preparation of the transformation mixture. Then, the transformation mixtures containing DNase I were incubated 1 h at RT before plating on LB agar plates added with ampicillin (100 μg/ml) (Sun et al., 2006).

To verify the acquisition of pCRTMII-TOPO® plasmid, DNA was extracted from putative transformants by boiling lysis (Ferjani et al., 2015) and used as template to amplify a plasmid sequence fragment of about 250 bp with primer M13f (-20) (5′-GTA AAA CGA CGG CCA G-3′) and M13r (5′-CAG GAA ACA GCT ATG AC-3′) according to manufacturer’s (Invitrogen) instruction. Thermal protocol was set up as follows: 94°C for 5 min, followed by 34 cycles at 94°C for 1 min, 55°C for 1 min and 72°C for 1.5 min and the last step at 72°C for 10 min.

Generation of Rifampicin Resistant Mutants of E. coli Strains ED1 and DH5α

Rifampicin mutants of ED1 and DH5α strains were obtained by plating stationary-phase cultures on LB plates added with 50 μg/ml of rifampicin. Plates were then incubated at 37°C overnight. Upon appearance, rifampicin resistant (RIF-R) colonies were selected and initially re-streaked on LB added with 50 μg/ml rifampicin and, finally, on LB added with 100 μg/ml rifampicin.

Root Colonization by E. coli Strains

RIF-R ED1 and RIF-R DH5α strains were used for the bacterization of Lactuca sativa (var. Canasta) seedlings to verify their ability to colonize plant rhizosphere. Lettuce seeds were sterilized with 0.7% sodium hypochlorite for 5 min followed by 5 rinsing steps in sterile distilled water (Bonaldi et al., 2015) and grown in pots filled with non-sterile soil under greenhouse conditions. Three days after sowing, lettuce seedlings (n = 3 for each strain) were inoculated with 5 ml of bacterial suspensions obtained by growing the RIF-R ED1 and RIF-R DH5α strains in LB medium supplemented with rifampicin (100 μg/ml) for 24 h at 37°C, centrifuging twice the bacterial cultures at 4000 rpm for 10 min and re-suspending the pelleted cells in physiological solution (NaCl 0.9%) to obtain a final bacterial concentration of 108 cell/g of soil. Six lettuce seedlings were irrigated with 5 ml of distilled water and considered as negative control. One week after bacterization, lettuce seedlings were harvested and the rhizosphere soil was separated from the root by vortexing for 5 min the root system in physiological solution. To evaluate the number of colony-forming units (cfu) per gram of soil, rhizosphere samples (n = 3 for each strain; n = 6 for negative control) were serially diluted in physiological solution, plated in triplicate on LB medium supplemented with rifampicin (100 μg/ml) and cfu were counted after 24 h of incubation at 30°C. In order to confirm the identity of the isolates, after the visual check of colony morphology on the Petri dishes, 10 bacterial colonies isolated from the rhizosphere of each bacterized lettuce seedlings were picked. The DNA was extracted through boiling cell lysis and the 16–23S rRNA Intergenic Transcribed Spacer (ITS) region was amplified by ITS-PCR fingerprinting (Mapelli et al., 2013), comparing the ITS profiles of the bacteria re-isolated from the rhizosphere at the end of the experiment with those of RIF-R ED1 and RIF-R DH5α strains used for lettuce bacterization.

The colonization experiment was repeated to investigate the stability of ED1 and DH5α strains in the lettuce rhizosphere over time (14 days). For this experiment, lettuce seeds were sterilized as reported above and grown in soil previously sterilized through tindalization process. One week after sowing, lettuce seedlings were inoculated with 5 ml of bacterial suspensions (108 cell/g of soil) prepared as described above. The presence of RIF-R ED1 and RIF-R DH5α strains in lettuce rhizosphere was verified 1 week (t1) and 2 weeks after bacterization (t2). As previously described, rhizosphere soil samples (n = 3 for each strain and each experimental time) were serially diluted and plated in triplicate on LB medium supplemented with rifampicin (100 μg/ml). Assessment of cfu/g of soil and strain identity were performed as described above.

DNA Extraction, Genome Sequencing, and Analysis

Genomic DNA from E. coli strain ED1 was extracted from an overnight culture in LB liquid medium using the UltraClean Microbial DNA extraction kit (Qiagen), according to the manufacturer’s protocol. DNA quantity was assessed using fluorometry (Qubit, Invitrogen) according to the manufacturer’s protocol. Sequencing was performed on an Illumina NovaSeq platform using paired-end sequencing of 150 bp fragments at IGA Technologies (Udine, Italy). The genome was assembled as described by Cabello-Yeves et al. (2018): briefly, Trimmomatic was used for read trimming and filtering and SPAdes for the genome assembly, while a preliminary gene annotation was done using NCBI (Johnson M. et al., 2008). This Whole Genome Shotgun project has been deposited at DDBJ/ENA/GenBank under the accession JAAWVB000000000. The version described in this paper is version JAAWVB010000000.

Genome assemblies of E. coli strains ED1 and K12 NEB DH5α (Accession Number CP017100; Anton and Raleigh, 2016) were submitted to the RAST Service1 and compared taking advantage of the RAST function-based comparison tool. Plasmid presence in ED1 genome was investigated through the platform PlasmidFinder (Carattoli et al., 2014)2. VirulenceFinder 2.0 platform (Joensen et al., 2014)3 was used to identify virulence genes in the genomes of E. coli strains ED1, K12 NEB DH5α, O157:H7 Sakai (Accession Number BA000007, Makino et al., 1999) and O157:H7 EDL933 (Accession Number AE005174, Perna et al., 2001). Genomic islands, insertion sequences (IS) and phage genome sequences were searched in ED1 and K12 NEB DH5α genomes by IslandViewer4 (Bertelli et al., 2017), ISfinder (Siguier et al., 2006) and PHASTER (Arndt et al., 2016). Details on RAST and NCBI annotation can be found in Supplementary Table 2.

Statistical Analyses

Statistical analyses were conducted with R 3.1.2 (R Core Team, 2013) through RStudio (RStudio Team, 2015) and with Calc Statistical Function of Microsoft® Office Excel. Linear model was applied to assess the relation between transformation frequency and quantities of DNA added during transformation protocols. Student’s t-test was employed to verify differences between ED1 and DH5α strains concerning transformation frequencies (considering growth phase and types of water) and root colonization efficiency.

Results

Influence of Different Growth Phases on Transformation

The capability to acquire exogenous DNA by the environmental E. coli strain ED1, compared with the laboratory E. coli strain DH5α, was initially tested in pure water on resting cells harvested at different phases of the growth curve: Milli-Q water was used as washing and incubation buffer (to avoid the presence of interfering cations) and a large amount of transforming DNA plasmid (2 μg) was added to minimize any possible interference on transformation frequencies linked to a limiting quantity of DNA. First, we used cells harvested from early exponential phase cultures (OD600 nm between 0.4 and 0.5) (Supplementary Figure 1), observing a transformation frequency of 4.26 × 10–8 (± 2.26 × 10–8) and 4.44 × 10–10 (± 7.70 × 10–10) for ED1 and DH5α strains, respectively (Supplementary Table 3). ED1 cells in early exponential growth phase demonstrated a significantly higher transformation frequency in comparison with DH5α cells (Student’s t-test, p = 0.032, Figure 1). When cells were harvested at the stationary phase (OD600 nm between 2.1 and 2.2), a transformation frequency of 3.95 × 10–9 (± 3.91 × 10–10) was obtained with ED1 strain, resulting however statistically higher than the value recovered for DH5α strain (1.93 × 10–10 ± 1.56 × 10–10; Student’s t-test, p = 0.0001, Figure 1 and Supplementary Table 3). While transformation frequencies of DH5α strain were not significantly different between both growth phases (Student’s t-test, p = 0.609), statistical analysis indicated that ED1 natural competence is significantly higher in the early exponential phase than in the stationary one (Figure 1; Student’s t-test, p = 0.0415). All the following transformation assays were therefore run with cells at the early exponential phase.

FIGURE 1
www.frontiersin.org

Figure 1. Transformation frequencies of E. coli strains ED1 and DH5α with cells collected at early exponential (“exp”) and stationary (“stat”) phases. Transformations were performed in Milli-Q water with 2 μg of plasmidic DNA.

In order to confirm the occurrence of natural transformation (which is a DNase-sensitive mechanism differently from the DNase-resistant mechanisms i.e., conjugation and transduction), we checked the sensitivity of ED1 uptake of DNA to the addition of DNase I. Since no transformation events were retrieved, unveiling thus the DNase sensitivity of the mechanism, we confirmed ED1 cells’ ability to uptake DNA by natural competence (Hasegawa et al., 2018).

Influence of Exogenous DNA Quantity on Transformation Frequency

Transformation frequencies of ED1 and DH5α strains were analyzed in Milli-Q water with increasing quantities of plasmid pCR® II-TOPO® as exogenous DNA, by adding 0.25, 0.5, 1, and 2 μg of plasmidic DNA to the cells harvested at the early exponential phase. As shown in Supplementary Table 4, transformation frequency for DH5α strain was estimated to be ≤ 4.44 × 10–10, while increasing transformation frequencies were reported for ED1 strain, ranging from 5.48 × 10–9 to 4.26 × 10–8 when increasing quantities of plasmid from 0.25 to 2 μg, respectively, were added. Statistical analysis revealed a statistical difference for ED1 strain exposed to 2 or 0.25 μg of plasmidic DNA (Student’s t-test, p = 0.0480 between 2 and 0.25 μg). As shown in Figure 2, transformation frequency of ED1 strain was significantly related to the amount of plasmid added (linear model: t = 3.9, p = 0.003), whereas this was not the case for DH5α strain (linear model: t = 0.55, p = 0.6) (Baur et al., 1996).

FIGURE 2
www.frontiersin.org

Figure 2. Transformation frequencies of E. coli strains ED1 and DH5α in Milli-Q water with increasing quantities of plamidic DNA. Transformation frequency of ED1 strain was significantly related to the amount of plasmid added (linear model: t = 3.9, p = 0.003).

Bacterial Transformation in Different Types of Waters

Transformation of ED1 and DH5α strains was assessed in natural and artificial water solutions considered as representative of environmental habitats, i.e., the artificial lake water (ALW) and the water collected from the effluent of Verbania WWTP. Milli-Q water was used as control and the transformations were carried out with a not limiting quantity of transforming DNA (2 μg). Statistical analysis showed that the transformation frequencies of ED1 strain were significantly higher than the ones observed for DH5α strain considering all the types of water used (Student’s test; p = 0.0295, 0.0226, and 0.0364 with ALW, Milli-Q water and treated wastewater, respectively, Figure 3). Transformation frequencies ≤ 5.19 × 10–9 were obtained for DH5α strain in the different types of water (Supplementary Table 5). Moreover, transformation frequencies of ED1 strain were significantly higher in ALW than in the other types of water (Figure 3; Student’s t-test p-values: between Milli-Q water and ALW, p = 0.029; between ALW and treated wastewater, p = 0.047): specifically, we obtained for this strain transformation frequencies values of 1.06 × 10–7 (± 5.26 × 10–8) in ALW and 1.83 × 10–8 (± 9.80 × 10–9) in the effluent water released into the environment from Verbania WWTP, whereas for the control in pure water a value of 4.26 × 10–8 (± 2.26 × 10–8) was retrieved (Supplementary Table 5).

FIGURE 3
www.frontiersin.org

Figure 3. Transformation frequencies of E. coli strains ED1 and DH5α using different types of water: (A) Milli-Q water, (B) ALW, and (C) treated wastewater (WW).

Plant Colonization by E. coli Strains

The ability of ED1 and DH5α strains added to the soil to colonize plants’ rhizosphere was verified using the correspondent RIF-R strains and lettuce seedlings as model system. The experiment was firstly conducted in short term conditions in non-sterile soil to check the rhizocompetence of E. coli strains in presence of the competing soil dwelling microbial community. Seven days after E. coli addition to the 3 days-old plantlets surrounding soil, the rifampicin resistant bacteria re-isolated from the rhizosphere of the lettuce seedlings amounted to 1.59 × 109 (± 8.29 × 108) cfu/g rhizospheric soil for RIF-R ED1 strain and resulted statistically higher in comparison to rifampicin resistant bacteria isolated from the rhizosphere of both non-bacterized lettuce seedlings (1.97 × 105 ± 1.62 × 105cfu/g soil; p = 1.61 × 10–7) and seedlings bacterized with RIF-R DH5α strain (4.23 × 108 ± 4.45 × 108 cfu/g soil; p = 1.14 × 10–3), as shown in Figure 4A. Ten randomly picked colonies isolated from each bacterized plant (n = 30 per ED1 strain bacterization; n = 30 per DH5α strain bacterization) were subjected to ITS-PCR fingerprinting. The ITS profiles detected for all colonies corresponded to those of the E. coli strains used for plants bacterization, as shown in Supplementary Figure 2A and Supplementary Figure 2B for ED1 and DH5α, respectively. Although both the tested E. coli strains were able to colonize in 7 days the lettuce rhizosphere under non-sterile soil condition, the environmental E. coli strain ED1 showed a higher colonization performance of this microhabitat compared to the laboratory strain DH5α (p = 1.92 × 10–3).

FIGURE 4
www.frontiersin.org

Figure 4. Evaluation of E. coli strains ED1 and DH5α rhizocompetence. (A) Bacterial abundance (cfu/g soil) of rifampicin-resistant bacteria in the lettuce rhizosphere after a 1-week colonization experiment performed with non-sterile soil. (B) Assessment of the stability of the rifampicin-resistant bacteria abundance in the rhizosphere of lettuce seedlings grown in sterile soil. Dark- and light-colored columns indicate cfu/g of soil 1 and 2 weeks after the bacterization, respectively. NC, non-bacterized lettuce seedlings; ED1/DH5α, lettuce seedlings bacterized with ED1 and DH5α strains, respectively. Different letters or asterisks indicate statistically significantly differences according to Student’s t-test (p < 0.01).

Similar results were obtained when the experiment was repeated with lettuce plants older (7 days-old) than those used in the first colonization assay in sterile soil and for a longer period, to verify the stability of the strains in the rhizosphere microhabitat, without any competition with the soil residing microbiota. As shown in Figure 4B, 1 week after plant bacterization with ED1 strain, 1.35 × 106 (± 8.39 × 105) cfu/g soil of RIF-R cells were recovered, whereas plants exposed to DH5α strain led to isolate from the lettuce rhizosphere a significant lower RIF-R titer (3.86 × 105 ± 2.38 × 105 cfu/g soil; p = 0.0043). The RIF-R isolated colonies in all the assays demonstrated to belong to the inoculated E. coli strains by evaluating their ITS-PCR fingerprinting on representative colonies (Supplementary Figure 3). Two weeks after bacterization the presence of both ED1 and DH5α E. coli strains remained stable in plants rhizosphere, amounting, respectively to 1.01 × 106 (± 1.03 × 106) cfu/g soil and 2.44 × 105 (± 3.33 × 105) cfu/g soil (p = 0.048; Figure 4B).

Genome Analysis

Taking advantage of RAST function-based comparison tool, genomes of E. coli strains ED1 and K12 NEB DH5α (Anton and Raleigh, 2016; Accession Number CP017100), composed of 5,159,712 and 4,583,637 bp, respectively, were compared. E. coli strain K12 NEB DH5α has been chosen as reference strain for genomic analysis since it is a fhuA2 derivative of E. coli K12 DH5α, the genome sequence of which is not currently available.

Both genomes shared a high percentage of metabolic functions: indeed, the presence of all the main basic metabolic functions, such as, for instance, carbohydrate metabolism or respiration, was assessed. Differences in the genomes’ size are primary reflected in the fact that ED1 strain owns a larger number of genes (included in the below reported metabolic pathways) than K12 NEB DH5α strain. We detected the presence of the “propanediol metabolic pathway” and the “methylcytrate cycle” in ED1 genome, which were absent in K12 NEB DH5α genome (Table 1). Furthermore, in ED1 genome we retrieved genes encoding proteins related to the osmoregulatory choline-glycine betaine system e.g., the high-affinity choline uptake protein BetT, a choline dehydrogenase and a betaine aldehyde dehydrogenase (Table 1). Only in the genome of ED1 we found several genes classified by RAST as involved in the bacterial adhesion and secretory systems, i.e., CFA/I pili, the secretion system type I and the type III secretion injectosome (Table 1).

TABLE 1
www.frontiersin.org

Table 1. Main subsystems revealed in the genome of E. coli strain ED1.

Considering genes related to the acquisition of exogenous DNA, the automatic annotation revealed in both genomes the presence of several genes homologous to those required for the DNA uptake in species that are known to be naturally competent: pilQ/HofQ (HBA78_15695 and NEB5A_17330; HBA78 code refers to ED1 strain, while NEB5A one refers to K12 NEB DH5α strain), encoding for a transmembrane channel allowing dsDNA to cross the outer membrane; pilA (HBA78_09875; NEB5A_00545), pilB (HBA78_09880 and NEB5A_00540), pilC (HBA78_09885; NEB5A_00535), related to the construction of the pseudopilus; dprA (HBA78_16130; NEB5A_16795), also called smf, responsible of the DNA processing and ycaI/ComEC (HBA78_03445; NEB5A_04210) related to the uptake of exogenous DNA (Chen and Dubnau, 2004; Cameron and Redfield, 2006; Sun, 2018). We detected in both genomes the presence of genes involved in one of the two E. coli-specific mechanisms of natural transformation, i.e., the general stress response regulator factor RpoS (HBA78_20820; NEB5A_05530) (Zhang et al., 2012; Sun, 2018), as well as the RpoS-regulated genes ydcS and ydcV (HBA78_24185 and HBA78_24200) in ED1; NEB5A_07355 and NEB5A_07370 in K12 NEB DH5α) (Sun, 2016). Additional analysis was performed submitting ED1 genome to the PlasmidFinder platform (Carattoli et al., 2014; Yang et al., 2015; Table 1): we found the presence of i) a IncFII plasmid replicon sequence (with an identity of 96.55% against the one of the reference sequence AY458016) and ii) a IncX1 plasmid replicon sequence (with an identity of 95.23% against the one of the reference sequence JN935898). The replicon sequences were located on two separate contigs of 79,647 and 25,889 bp, respectively, and allowed us to speculate the presence of two plasmids in ED1 chromosome.

In order to identify virulence factors, we further analyzed the genomes of strains ED1 and K12 NEB DH5α through the platform VirulenceFinder 2.0 (Joensen et al., 2014). We found a higher number of virulence factors in ED1 than in DH5α genome (Table 2). Both genomes showed the presence of the glutamate decarboxylase (GAD) system which contributes to acid resistance in the human gut (Vanaja et al., 2009). Conversely, we detected only in ED1 genome the presence of genes encoding the adhesin air, an enteroaggregative immunoglobulin repeat protein involved in bacterial aggregation and colonization (Sheikh et al., 2006), astA, a heat stable enterotoxin-1 (Yatsuyanagi et al., 2003) and eilA, a putative activator of the type three secretion system (T3SS), which contributes to the pathogenicity of enteroaggregative E. coli (EAEC) strains (Sheikh et al., 2006). Moreover, from the comparison with DH5α genome we found that ED1 genome lost iss virulence factor, defined as a serum survival gene (Johnson T.J. et al., 2008). When we included in our analysis the genomes of two pathogenic strains of E. coli, i.e., E. coli strains O157:H7 Sakai (Accession Number BA000007, Makino et al., 1999) and O157:H7 EDL933 (Accession Number AE005174, Perna et al., 2001), we could observe that a conspicuous higher number of virulence factors was retrieved in the latter than in ED1 or K12 NEB DH5α genomes (Supplementary Table 6). Whereas similar numbers of genomic islands are present in both genomes, the number of IS sequences predicted in ED1 genome is higher than the one retrieved for NEB DH5α genome. Moreover, we found more phage genomic sequences in the former than in the latter strain (Supplementary Table 7).

TABLE 2
www.frontiersin.org

Table 2. Virulence genes revealed by the analysis of the genomes of E. coli strains ED1 and K12 NEB DH5α using the platform VirulenceFinder 2.0.

Discussion

Several studies have revealed the modest capability of E. coli strains to acquire exogenous DNA by natural transformation and researchers have recently underlined the existence of a few peculiar DNA uptake mechanisms of natural transformation in this species (Sun et al., 2006; Guo et al., 2015; Hasegawa et al., 2018). E. coli laboratory strains, known for their high artificial transformation efficiency, demonstrated to undergo to natural transformation in experiments mimicking natural conditions, e.g., using freshwater or food extracts (Baur et al., 1996; Woegerbauer et al., 2002; Maeda et al., 2003, 2004), whereas a limited number of publications verified natural competence in E. coli strains isolated from human and warm-blooded animals (Tsen et al., 2002; Woegerbauer et al., 2002; Matsumoto et al., 2016). Environmental E. coli strains, to our knowledge, were never tested for natural competence. In this study, we investigated the ability of the environmental E. coli strain ED1, isolated form the crustacean Daphnia sp., to acquire exogenous DNA, comparing the results with the ones showed by the laboratory E. coli strain DH5α in relation to the cell growth phase, amount of transforming DNA and in environmental-mimicking conditions, i.e., exposed to lake water and WWTP effluents.

We ascertained a higher transformation frequency (10–8–10–9) for the environmental strain than for the laboratory one (10–10), observing a higher number of transformation events when high quantities of plasmidic DNA were used, up to a saturation level (Baur et al., 1996). Values retrieved for ED1 strain underlined the modest capability of transformation in E. coli strains, especially if compared with other bacterial strains known to be naturally competent, such as Acinetobacter baylyi BD413 (Lorenz et al., 1992) and Bacillus subtilis 168 (Hauser and Kanamata, 1994). As reported by Baur et al. (1996), our results showed higher transformation frequencies for ED1 strain with cells grown at early exponential growth phase (0.4–0.6 OD600 nm) rather than at the stationary one. Log-phase cells were also used by Woegerbauer et al. (2002) who compared the transformation frequency and efficiency of laboratory and clinical isolates, revealing higher transformation rates for the former. In case of DH5α strain we recovered low values of transformation frequencies: we retrieved only two transformants in all the replicates in which Milli-Q water and 2 μg of DNA were applied. Nevertheless, other studies reported in case of DH5α strain higher numbers of transformants or transformation frequencies than the ones we obtained, likely due to differences of the adopted experimental protocols, which included, among the others, variations of the bacterial growth condition and growth phase (Woegerbauer et al., 2002; Sun et al., 2006).

The protocol we adopted in our experiments was conceived to mimic conditions feasible in the environment. To this aim, strains were subjected to a few manipulation procedures before incubation on selective agar plates and were exposed to different kinds of waters considered as representative of a few habitats (i.e., ALW and treated wastewater). Moreover, temperatures of 20–23°C, closer to environmental values than the ones usually used in laboratory procedures, were maintained during the transformation protocol (not for the incubation), differently from what reported in literature i.e., 37°C (Sun et al., 2006), 10°C or temperature shifts (Baur et al., 1996). Although it was reported that disinfection by-products in the WWTP effluents can enhance the rate of bacterial transformation, promoting the spread of extracellular ARGs (Augsburger et al., 2019; Mantilla-Calderon et al., 2019; Jin et al., 2020; Lu et al., 2020), ED1 strain showed higher transformation efficiency in presence of ALW than treated wastewater. This could be due, on one hand, to a water composition of ALW that was more similar to that of the original habitat of the bacterium; on the other, lower transformation frequencies detected for ED1 strain in presence of treated water than ALW could be related to the peculiar chemical composition of the sampled water (Pereira et al., 2015; Papageorgiou et al., 2016). Thus, we cannot rule out that experiments performed with water collected in different moments could bring the same results. Certain natural and anthropic environments could supply optimal conditions for natural transformation. An example are biofilms in which cell density is very high and cells can be exposed to high concentrations of free DNA (even higher than the ones routinely used in laboratory procedures) derived from the dead neighboring cells (Baur et al., 1996; Hasegawa et al., 2018); this condition can result in ARGs acquisition and spread in the bacterial communities, as characterized in several studies (Petrovich et al., 2018). Moreover, clinically relevant ARGs enter freshwater systems through the outflow of WWTPs (Zhang et al., 2018).

Gram-positive and Gram-negative bacteria that are known to be naturally transformable usually share a similar DNA uptake machinery linked to the Type IV pili and Type II secretion systems (Claverys and Martin, 2003) and both ED1 and K12 NEB DH5α showed the presence of these genes in their genomes. Taking into account the peculiar E. coli DNA uptake machineries (Sun, 2018), we found the presence of the genes encoding the transcriptional regulator RpoS that regulates E. coli natural transformation (Zhang et al., 2012), as well as the RpoS-regulated genes ydcV and ydcS, which are involved in the DNA internalization into the inner membrane (Sun, 2016). Although we retrieved in both E. coli strain genomes the presence of the above-mentioned genes, we demonstrated that ED1 transformation frequency was higher than DH5α one. Even though we observed an overall genomic function-based similarity between the strains (using the RAST function-based comparison tool), we cannot exclude the existence of some signaling-dependent or regulatory mechanisms that can favor natural transformation in ED1 rather than in DH5α strain. Natural transformation is known to be a very complex mechanism activated differently among species and strains (Lorenz and Wackernagel, 1994; Blokesch, 2016). For instance, in Haemophilus influenzae natural competence was demonstrated to be triggered by a lack of phosphotransferase system (PTS) sugars and purine precursors (Mell and Redfield, 2014). Furthermore, since only a DNA-based analysis has been performed in our study, we do not have information about the effective production of the proteins corresponding to the natural transformation-related genes.

Genomic analysis allowed to identify a larger number of genes encoding for metabolic pathways in ED1 genome rather than in the one of K12 NEB DH5α strain, e.g., we found in ED1 genome the propanediol utilization pathway, which allows E. coli to grow in anaerobic conditions using rhamnose as carbon source (Liu et al., 2007) and the genes of methilcytrate cycle, which allows microorganisms to use propionate as a carbon/energy sources, being especially useful in the propionate-rich environments such as the gastrointestinal tract (Upton and McKinney, 2007). Furthermore, we found several genes that may help ED1 to thrive in different habitats, i.e., genes encoding for proteins related to the osmotic stress (involved in the synthesis and uptake of compatible solutes; Sim et al., 2014); genes involved in cell to cell aggregation and biofilm production, such as RTX that seems to be responsible for cell-surface adhesions, cells’ aggregation and production of biofilm (Tchagang et al., 2018); CFA/I pili-related genes implicated in the bacterial adhesion through the production of fimbriae; and genes encoding the type III secretion injectosome (Diepold et al., 2011; Zheng et al., 2019; Table 1). Therefore, strain ED1 has different traits that may help it to thrive in the environment and that might be related to a high transformation rate success. Moreover, the higher total amount of the mobile genetic elements found in ED1 than in K12 NEB DH5α could be due to the fact that these elements are commonly found in bacteria exposed to a “horizontal gene pool”, which can be easily found in several environments (Dobrindt et al., 2004). HGT is, indeed, known to contribute to bacterial adaptation to different habitats and, in the long term, to bacterial evolution (Lorenz and Wackernagel, 1994; Thomas and Nielsen, 2005; Vandecraen et al., 2017). This result is also in agreement with the data available on Vibrio species, the transformation proficiency of which appears to be more common in environmental strains than in clinical ones (Bernardy et al., 2016).

The environments where E. coli is known to survive include soil, water and manure besides several micro-habitats associated to plants, given the ability of some E. coli strains to colonize roots, leaf surfaces and endosphere (Van Elsas et al., 2011; Wright et al., 2017; Eissenberger et al., 2020). The capacity of an environmental and naturally transformable E. coli strain like ED1 to survive in soil and colonize the plant rhizosphere has relevant implications in the light of the antibiotic cycle and the One Health vision. The plant rhizosphere is indeed a well characterized, substrate-rich, hot spot for bacterial activity and abundance (Zhu et al., 2018), where naturally competent cells can find higher concentrations of free DNA and could, moreover, reach the growth phase in which transformation occurs with high frequency (Sørensen and Jensen, 1998; Mølbak et al., 2003; Ling et al., 2016; Zhu et al., 2018). Relevant concentrations of ARGs can reach the plant rhizosphere, e.g., through soil amended with manure, sewage sludge and treated wastewater (Chen et al., 2017; Riva et al., 2020; Wu et al., 2020). We selected lettuce as a model plant for the root system colonization experiments, as representative of raw-consumed vegetables of high economic importance in the ready-to-eat food industry. Our results showed that ED1 strain colonized efficiently the lettuce rhizosphere both in sterile and non-sterile soils and indicated that the rhizosphere colonization was stable over a period of 14 days. The ability of ED1 strain to acquire exogenous DNA in environmental mimicking conditions and to efficiently colonize the plant rhizosphere might represent a possible route of ARGs spread in the plant microbiome, potentially representing a risk for health through the consumption of raw vegetables (Nüesch-Inderbinen et al., 2015). In this perspective we analyzed the ED1 strain genome for the presence of virulence factors, revealing a higher number of virulence factors in this environmental and naturally competent strain than in the laboratory strain K12 NEB DH5α. Although further analyses are required to unveil any possible relation with human pathogenic E. coli strains, these data allow us to hypothesize a low and not relevant virulence for E. coli strain ED1 (Supplementary Table 6).

Conclusion

We demonstrated the ability of an environmental E. coli strain to acquire exogenous DNA by natural competence with relatively high frequency in exponential growth phase in environmental-like conditions, together with its capability, when applied to soil, to thrive in lettuce rhizosphere. These results confirm the importance to further investigate the possible spread of antibiotic resistant determinants through HGT in the environment and, particularly, in the rhizosphere of those plant species consumed as raw vegetables, to elucidate the related food and human safety risks. Further studies on environmental E. coli strains could allow to strengthen our results and to understand the spread of this phenomenon.

Data Availability Statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/genbank/, JAAWVB000000000.

Author Contributions

EC, FM, and SB designed the study. FR, VR, EE, NC, and AD carried out the experiments. FR, VR, FM, and EC analyzed the data. FM and SB supported the research. FR and EC wrote the first draft of the manuscript. All authors contributed to the manuscript revision, read and approved the submitted version.

Funding

This work was funded by the Cariplo Foundation (GA No. 2018-0995). FM acknowledges personal support from the project “Microbes for a sUStainable Environment (MUSE)” of the University of Milan (Piano di Sostegno della Ricerca 2019: Linea 2 – Dotazione annuale per attività istituzionali).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We thank Pedro J. Cabello Yeves for the sequence clean up and genome assembly of ED1 strain.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2020.574301/full#supplementary-material

Footnotes

  1. ^ http://rast.nmpdr.org/
  2. ^ https://cge.cbs.dtu.dk/services/PlasmidFinder/
  3. ^ https://cge.cbs.dtu.dk/services/VirulenceFinder/

References

Amos, G. C., Gozzard, E., Carter, C. E., Mead, A., Bowes, M. J., Hawkey, P. M., et al. (2015). Validated predictive modelling of the environmental resistome. ISME J. 9, 1467–1476. doi: 10.1038/ismej.2014.237

PubMed Abstract | CrossRef Full Text | Google Scholar

Anton, B. P., and Raleigh, E. A. (2016). Complete genome sequence of NEB 5-alpha, a derivative of Escherichia coli K-12 DH5α. Genome Announc. 4:e01245-16. doi: 10.1128/genomeA.01245-16

PubMed Abstract | CrossRef Full Text | Google Scholar

Araújo, S., Silva, A. T. I., Tacão, M., Patinha, C., Alves, A., and Henriques, I. (2017). Characterization of antibiotic resistant and pathogenic Escherichia coli in irrigation water and vegetables in household farms. Int. J. Food Microbiol. 257, 192–200. doi: 10.1016/j.ijfoodmicro.2017.06.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Arndt, D., Grant, J. R., Marcu, A., Sajed, T., Pon, A., Liang, Y., et al. (2016). PHASTER: a better, faster version of the PHAST phage search tool. Nucleic Acids Res. 44, W16–W21. doi: 10.1093/nar/gkw387

PubMed Abstract | CrossRef Full Text | Google Scholar

Augsburger, N., Mantilla-Calderon, D., Daffonchio, D., and Hong, P. Y. (2019). Acquisition of extracellular DNA by Acinetobacter baylyi ADP1 in response to solar and UV-C254nm disinfection. Environ. Sci. Technol. 53, 10312–10319. doi: 10.1021/acs.est.9b01206

PubMed Abstract | CrossRef Full Text | Google Scholar

Baur, B., Hanselmann, K., Schlimme, W., and Jenni, B. (1996). Genetic transformation in freshwater: Escherichia coli is able to develop natural competence. Appl. Environ. Microbiol. 62, 3673–3678. doi: 10.1128/aem.62.10.3673-3678.1996

PubMed Abstract | CrossRef Full Text | Google Scholar

Bernardy, E. E., Turnsek, M. A., Wilson, S. K., Tarr, C. L., and Hammer, B. K. (2016). Diversity of clinical and environmental isolates of Vibrio cholerae in natural transformation and contact-dependent bacterial killing indicative of type VI secretion system activity. Appl. Environ. Microbiol. 82, 2833–2842. doi: 10.1128/AEM.00351-16

PubMed Abstract | CrossRef Full Text | Google Scholar

Bertelli, C., Laird, M. R., Williams, K. P., Simon Fraser University Research Computing Group, Lau, B. Y., Hoad, G., et al. (2017). IslandViewer 4: expanded prediction of genomic islands for larger-scale datasets. Nucleic Acids Res. 45, W30–W35. doi: 10.1093/nar/gkx343

PubMed Abstract | CrossRef Full Text | Google Scholar

Blokesch, M. (2016). Natural competence for transformation. Curr. Biol. 26, R1126–R1130. doi: 10.1016/j.cub.2016.08.058

PubMed Abstract | CrossRef Full Text | Google Scholar

Bonaldi, M., Chen, X., Kunova, A., Pizzatti, C., Saracchi, M., and Cortesi, P. (2015). Colonization of lettuce rhizosphere and roots by tagged Streptomyces. Front. Microbiol. 6:25. doi: 10.3389/fmicb.2015.00025

PubMed Abstract | CrossRef Full Text | Google Scholar

Bouaroudj, S., Menad, A., Bounamous, A., Ali-Khodja, H., Gherib, A., Weigel, D. E., et al. (2019). Assessment of water quality at the largest dam in Algeria (Beni Haroun Dam) and effects of irrigation on soil characteristics of agricultural lands. Chemosphere 219, 76–88. doi: 10.1016/j.chemosphere.2018.11.193

PubMed Abstract | CrossRef Full Text | Google Scholar

Cabello-Yeves, P. J., Picazo, A., Camacho, A., Callieri, C., Rosselli, R., Roda-Garcia, J. J., et al. (2018). Ecological and genomic features of two widespread freshwater picocyanobacteria. Environ. Microbiol. 20, 3757–3771. doi: 10.1111/1462-2920.14377

PubMed Abstract | CrossRef Full Text | Google Scholar

Cameron, A. D., and Redfield, R. J. (2006). Non-canonical CRP sites control competence regulons in Escherichia coli and many other γ-proteobacteria. Nucleic Acids Res. 34, 6001–6014. doi: 10.1093/nar/gkl734

PubMed Abstract | CrossRef Full Text | Google Scholar

Carattoli, A., Zankari, E., García-Fernández, A., Larsen, M. V., Lund, O., Villa, L., et al. (2014). In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing. Antimicrob. Agents Chemother. 58, 3895–3903. doi: 10.1128/AAC.02412-14

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, I., and Dubnau, D. (2004). DNA uptake during bacterial transformation. Nat. Rev. Microbiol. 2, 241–249. doi: 10.1038/nrmicro844

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Q., An, X., Li, H., Su, J., Ma, Y., and Zhu, Y. G. (2016). Long-term field application of sewage sludge increases the abundance of antibiotic resistance genes in soil. Environ. Intern. 92, 1–10. doi: 10.1016/j.envint.2016.03.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Q. L., An, X. L., Li, H., Zhu, Y. G., Su, J. Q., and Cui, L. (2017). Do manure-borne or indigenous soil microorganisms influence the spread of antibiotic resistance genes in manured soil? Soil Biol. Biochem. 114, 229–237. doi: 10.1016/j.soilbio.2017.07.022

CrossRef Full Text | Google Scholar

Chen, Q. L., Cui, H. L., Su, J. Q., Penuelas, J., and Zhu, Y. G. (2019). Antibiotic resistomes in plant microbiomes. Trends Plants Sci. 24, 530–541. doi: 10.1016/j.tplants.2019.02.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Claverys, J. P., and Martin, B. (2003). Bacterial ‘competence’ genes: signatures of active transformation, or only remnants? Trends Microbiol. 11, 161–165. doi: 10.1016/S0966-842X(03)00064-7

CrossRef Full Text | Google Scholar

Corno, G., Yang, Y., Eckert, E. M., Fontaneto, D., Fiorentino, A., Galafassi, S., et al. (2019). Effluents of wastewater treatment plants promote the rapid stabilization of the antibiotic resistome in receiving freshwater bodies. Water Res. 158, 72–81. doi: 10.1016/j.watres.2019.04.031

PubMed Abstract | CrossRef Full Text | Google Scholar

Czekalski, N., Díez, E. G., and Bürgmann, H. (2014). Wastewater as a point source of antibiotic-resistance genes in the sediment of a freshwater lake. ISME J. 8, 1381–1390. doi: 10.1038/ismej.2014.8

PubMed Abstract | CrossRef Full Text | Google Scholar

Di Cesare, A., Eckert, E. M., D’Urso, S., Bertoni, R., Gillan, D. C., Wattiez, R., et al. (2016). Co-occurrence of integrase 1, antibiotic and heavy metal resistance genes in municipal wastewater treatment plants. Water Res. 94, 208–214. doi: 10.1016/j.watres.2016.02.049

PubMed Abstract | CrossRef Full Text | Google Scholar

Di Cesare, A., Eckert, E. M., Teruggi, A., Fontaneto, D., Bertoni, R., Callieri, C., et al. (2015). Constitutive presence of antibiotic resistance genes within the bacterial community of a large subalpine lake. Mol. Ecol. 24, 3888–3900. doi: 10.1111/mec.13293

PubMed Abstract | CrossRef Full Text | Google Scholar

Diepold, A., Wiesand, U., and Cornelis, G. R. (2011). The assembly of the export apparatus (YscR, S, T, U, V) of the Yersinia type III secretion apparatus occurs independently of other structural components and involves the formation of an YscV oligomer. Mol. Microbiol. 82, 502–514. doi: 10.1111/j.1365-2958.2011.07830.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Dobrindt, U., Hochhut, B., Hentschel, U., and Hacker, J. (2004). Genomic islands in pathogenic and environmental microorganisms. Nat. Rev. Microbiol. 2, 414–424. doi: 10.1038/nrmicro884

PubMed Abstract | CrossRef Full Text | Google Scholar

Domingues, S., Rosário, N., Cândido, Â, Neto, D., Nielsen, K. M., and Da Silva, G. J. (2019). Competence for natural transformation is common among clinical strains of resistant Acinetobacter spp. Microorganisms 7:30. doi: 10.3390/microorganisms7020030

PubMed Abstract | CrossRef Full Text | Google Scholar

Du, S., Shen, J. P., Hu, H. W., Wang, J. T., Han, L. L., Sheng, R., et al. (2020). Large-scale patterns of soil antibiotic resistome in Chinese croplands. Sci. Tot. Environ. 712:136418. doi: 10.1016/j.scitotenv.2019.136418

PubMed Abstract | CrossRef Full Text | Google Scholar

Eckert, E. M., Di Cesare, A., Coci, M., and Corno, G. (2018). Persistence of antibiotic resistance genes in large subalpine lakes: the role of anthropogenic pollution and ecological interactions. Hydrobiologia 824, 93–108. doi: 10.1007/s10750-017-3480-0

CrossRef Full Text | Google Scholar

Eissenberger, K., Drissner, D., Walsh, F., Weiss, A., and Schmidt, H. (2020). Plant variety and soil type influence Escherichia coli O104: H4 strain C227/11ϕcu adherence to and internalization into the roots of lettuce plants. Food Microbiol. 86:103316. doi: 10.1016/j.fm.2019.103316

PubMed Abstract | CrossRef Full Text | Google Scholar

Etchuuya, R., Ito, M., Kitano, S., Shigi, F., Sobue, R., and Maeda, S. (2011). Cell-to cell transformation in Escherichia coli : a novel type of natural transformation involving cell-derived DNA and a putative promoting pheromone. PLoS One 6:e16355. doi: 10.1371/journal.pone.0016355

PubMed Abstract | CrossRef Full Text | Google Scholar

Ferjani, R., Marasco, R., Rolli, E., Cherif, H., Cherif, A., Gtari, M., et al. (2015). The date palm tree rhizosphere is a niche for plant growth promoting bacteria in the oasis ecosystem. Biomed. Res. Int. 2015:153851. doi: 10.1155/2015/153851

PubMed Abstract | CrossRef Full Text | Google Scholar

Guo, M., Wang, H., Xie, N., and Xie, Z. (2015). Positive effect of carbon sources on natural transformation in Escherichia coli : role of low-level cyclicAMP(cAMP)- cAMP receptor protein in the derepression of rpoS. J. Bacteriol. 197, 3317–3328. doi: 10.1128/JB.00291-15

PubMed Abstract | CrossRef Full Text | Google Scholar

Hasegawa, H., Suzuki, E., and Maeda, S. (2018). Horizontal plasmid transfer by transformation in Escherichia coli : environmental factors and possible mechanisms. Front. Microbiol. 9:2365. doi: 10.3389/fmicb.2018.02365

PubMed Abstract | CrossRef Full Text | Google Scholar

Hauser, P. M., and Kanamata, D. (1994). A rapid and simple method for Bacillus subtilis transformation on solid media. Microbiology 140, 1613–1617. doi: 10.1099/13500872-140-7-1613

PubMed Abstract | CrossRef Full Text | Google Scholar

Ishimoto, Y., Kato, S., and Maeda, S. (2008). Freeze-thaw-induced lateral transfer of non-conjugative plasmids by in situ transformation in Escherichia coli in natural waters and food extracts. World J. Microbiol. Biotechnol. 24, 2731–2735. doi: 10.1007/s11274-008-9761-z

CrossRef Full Text | Google Scholar

Jin, M., Liu, L., Wang, D.-N., Yang, D., Liu, W.-L., Yin, J., et al. (2020). Chlorine disinfection promotes the exchange of antibiotic resistance genes across bacterial genera by natural transformation. ISME J. 14, 1847–1856. doi: 10.1038/s41396-020-0656-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Joensen, K. G., Scheutz, F., Lund, O., Hasman, H., Kaas, R. S., Nielsen, E. M., et al. (2014). Real-time whole-genome sequencing for routine typing, surveillance, and outbreak detection of verotoxigenic Escherichia coli. J. Clin. Microbiol. 52, 1501–1510. doi: 10.1128/JCM.03617-13

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnson, M., Zaretskaya, I., Raytselis, Y., Merezhuk, Y., McGinnis, S., and Madden, T. L. (2008). NCBI BLAST: a better web interface. Nucleic Acids Res. 36, (Suppl. 2), W5–W9. doi: 10.1093/nar/gkn201

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnson, T. J., Wannemuehler, Y. M., and Nolan, L. K. (2008). Evolution of the iss gene in Escherichia coli. Appl. Environ. Microbiol. 74, 2360–2369. doi: 10.1128/AEM.02634-07

PubMed Abstract | CrossRef Full Text | Google Scholar

Krzeminski, P., Tomei, M. C., Karaolia, P., Langenhoff, A., Almeida, C. M. R., Felis, E., et al. (2019). Performance of secondary wastewater treatment methods for the removal of contaminants of emerging concern implicated in crop uptake and antibiotic resistance spread: a review. Sci. Total Environ. 648, 1052–1081. doi: 10.1016/j.scitotenv.2018.08.130

PubMed Abstract | CrossRef Full Text | Google Scholar

Larsson, D. J., Andremont, A., Bengtsson-Palme, J., Brandt, K. K., Husman, A. M. D., Fagerstedt, P., et al. (2018). Critical knowledge gaps and research needs related to the environmental dimensions of antibiotic resistance. Environ. Intern. 117, 132–138. doi: 10.1016/j.envint.2018.04.041

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, L., Dechesne, A., He, Z., Madsen, J. S., Nesme, J., Sørensen, S. J., et al. (2018). Estimating the transfer range of plasmids encoding antimicrobial resistance in a wastewater treatment plant microbial community. Environ. Sci. Technol. Lett. 5, 260–265. doi: 10.1021/acs.estlett.8b00105

CrossRef Full Text | Google Scholar

Lim, J. M., Singh, S. R., Duong, M. C., Legido-Quigley, H., Hsu, L. Y., and Tam, C. C. (2019). Impact of national interventions to promote responsible antibiotic use: a systematic review. J. Antimicrob. Chemother. 75, 14–29. doi: 10.1093/jac/dkz348

PubMed Abstract | CrossRef Full Text | Google Scholar

Ling, J., Wang, H., Wu, P., Li, T., Tang, Y., Naseer, N., et al. (2016). Plant nodulation inducers enhance horizontal gene transfer of Azorhizobium caulinodans symbiosis island. Proc. Natl. Acad. Sci. U.S.A. 113, 13875–13880. doi: 10.1073/pnas.1615121113

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Y., Leal, N. A., Sampson, E. M., Johnson, C. L., Havemann, G. D., and Bobik, T. A. (2007). PduL is an evolutionarily distinct phosphotransacylase involved in B12-dependent 1, 2-propanediol degradation by Salmonella enterica serovar typhimurium LT2. J. Bacteriol. 189, 1589–1596. doi: 10.1128/JB.01151-06

PubMed Abstract | CrossRef Full Text | Google Scholar

Lorenz, M. G., Reipschlaeger, K., and Wackernagel, W. (1992). Plasmid transformation of naturally competent Acinetobacter calcoaceticus in non-sterile soil extract and groundwater. Arch. Microbiol. 157, 355–360. doi: 10.1007/bf00248681

PubMed Abstract | CrossRef Full Text | Google Scholar

Lorenz, M. G., and Wackernagel, W. (1994). Bacterial gene transfer by natural genetic transformation in the environment. Microbiol. Rev. 58, 563–602. doi: 10.1128/mmbr.58.3.563-602.1994

CrossRef Full Text | Google Scholar

Lu, J., Wang, Y., Zhang, S., Bond, P., Yuan, Z., and Guo, J. (2020). Triclosan at environmental concentrations can enhance the spread of extracellular antibiotic resistance genes through transformation. Sci. Tot. Environ. 713:136621. doi: 10.1016/j.scitotenv.2020.136621

PubMed Abstract | CrossRef Full Text | Google Scholar

Maeda, S., Kakihara, N., and Koishi, Y. (2003). Competency development of Escherichia coli in foodstuffs. Microbes Environ. 18, 100–103. doi: 10.1264/jsme2.18.1

PubMed Abstract | CrossRef Full Text | Google Scholar

Maeda, S., Sawamura, A., and Matsuda, A. (2004). Transformation of colonial Escherichia coli on solid media. FEMS Microbiol. Lett. 236, 61–64. doi: 10.1016/j.femsle.2004.05.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Makino, K., Yokoyama, K., Kubota, Y., Yutsudo, C. H., Kimura, S., Kurokawa, K., et al. (1999). Complete nucleotide sequence of the prophage VT2-Sakai carrying the verotoxin 2 genes of the enterohemorrhagic Escherichia coli O157: H7 derived from the Sakai outbreak. Genes Genet. Syst. 74, 227–239. doi: 10.1266/ggs.74.227

PubMed Abstract | CrossRef Full Text | Google Scholar

Mantilla-Calderon, D., Plewa, M. J., Michoud, G., Fodelianakis, S., Daffonchio, D., and Hong, P. Y. (2019). Water disinfection byproducts increase natural transformation rates of environmental DNA in Acinetobacter baylyi ADP1. Environ. Sci. Technol. 53, 6520–6528. doi: 10.1021/acs.est.9b00692

PubMed Abstract | CrossRef Full Text | Google Scholar

Mapelli, F., Marasco, R., Rolli, E., Barbato, M., Cherif, H., Guesmi, A., et al. (2013). Potential for plant growth promotion of rhizobacteria associated with Salicornia growing in Tunisian hypersaline soils. BioMed Res. Int. 2013:248078. doi: 10.1155/2013/248078

PubMed Abstract | CrossRef Full Text | Google Scholar

Matsumoto, A., Sekoguchi, A., Imai, J., Kondo, K., Shibata, Y., and Maeda, S. (2016). Natural Escherichia coli strains undergo cell-to-cell plasmid transformation. Biochem. Biophys. Res. Commun. 481, 59–62. doi: 10.1016/j.bbrc.2016.11.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Meibom, K. L., Blokesch, M., Dolganov, N. A., Wu, C. Y., and Schoolnik, G. K. (2005). Chitin induces natural competence in Vibrio cholerae. Science 310, 1824–1827. doi: 10.1126/science.1120096

PubMed Abstract | CrossRef Full Text | Google Scholar

Mell, J. C., and Redfield, R. J. (2014). Natural competence and the evolution of DNA uptake specificity. J. Bacteriol. 196, 1471–1483. doi: 10.1128/JB.01293-13

PubMed Abstract | CrossRef Full Text | Google Scholar

Mølbak, L., Licht, T. R., Kvist, T., Kroer, N., and Andersen, S. R. (2003). Plasmid transfer from Pseudomonas putida to the indigenous bacteria on alfalfa sprouts: characterization, direct quantification, and in situ location of transconjugant cells. Appl. Environ. Microbiol. 69, 5536–5542. doi: 10.1128/AEM.69.9.5536-5542.2003

PubMed Abstract | CrossRef Full Text | Google Scholar

Nüesch-Inderbinen, M., Zurfluh, K., Peterhans, S., Hächler, H., and Stephan, R. (2015). Assessment of the prevalence of extended-spectrum β-lactamase–producing Enterobacteriaceae in ready-to-eat salads, fresh-cut fruit, and sprouts from the swiss market. J. Food Prot. 78, 1178–1181. doi: 10.4315/0362-028X.JFP-15-018

PubMed Abstract | CrossRef Full Text | Google Scholar

Osińska, A., Korzeniewska, E., Harnisz, M., Felis, E., Bajkacz, S., Jachimowicz, P., et al. (2020). Small-scale wastewater treatment plants as a source of the dissemination of antibiotic resistance genes in the aquatic environment. J. Hazard. Mater. 38:121221. doi: 10.1016/j.jhazmat.2019.121221

PubMed Abstract | CrossRef Full Text | Google Scholar

Papageorgiou, M., Kosma, C., and Lambropoulou, D. (2016). Seasonal occurrence, removal, mass loading and environmental risk assessment of 55 pharmaceuticals and personal care products in a municipal wastewater treatment plant in Central Greece. Sci. Total Environ. 543, 547–569. doi: 10.1016/j.scitotenv.2015.11.047

PubMed Abstract | CrossRef Full Text | Google Scholar

Pereira, A. M., Silva, L. J., Meisel, L. M., Lino, C. M., and Pena, A. (2015). Environmental impact of pharmaceuticals from Portuguese wastewaters: geographical and seasonal occurrence, removal and risk assessment. Environ. Res. 136, 108–119. doi: 10.1016/j.envres.2014.09.041

PubMed Abstract | CrossRef Full Text | Google Scholar

Perera, L. N., Mafiz, A. I., Amarasekara, N. R., Chang, E., Rao, V. B. K., and Zhang, Y. (2020). Antimicrobial-resistant E. coli and Enterococcus spp. recovered from urban community gardens. Food Control 108:106857. doi: 10.1016/j.foodcont.2019.106857

CrossRef Full Text | Google Scholar

Perna, N. T., Plunkett, G., Burland, V., Mau, B., Glasner, J. D., Rose, D. J., et al. (2001). Genome sequence of enterohaemorrhagic Escherichia coli O157: H7. Nature 409, 529–533. doi: 10.1038/35054089

PubMed Abstract | CrossRef Full Text | Google Scholar

Petrovich, M., Chu, B., Wright, D., Griffin, J., Elfeki, M., Murphy, B. T., et al. (2018). Antibiotic resistance genes show enhanced mobilization through suspended growth and biofilm-based wastewater treatment processes. FEMS Microbiol. Ecol. 94:fiy041. doi: 10.1093/femsec/fiy041

PubMed Abstract | CrossRef Full Text | Google Scholar

R Core Team (2013). R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.

Google Scholar

Raimondi, S., Righini, L., Candeliere, F., Musmeci, E., Bonvicini, F., Gentiloni, G., et al. (2019). Antibiotic resistance, virulence factors, phenotyping, and genotyping of E. coli isolated from the feces of healthy subjects. Microorganisms 7:251. doi: 10.3390/microorganisms7080251

PubMed Abstract | CrossRef Full Text | Google Scholar

Riva, V., Riva, F., Vergani, L., Crotti, E., Borin, S., and Mapelli, F. (2020). Microbial assisted phytodepuration for water reclamation: environmental benefits and threats. Chemosphere 241:124843. doi: 10.1016/j.chemosphere.2019.124843

PubMed Abstract | CrossRef Full Text | Google Scholar

RStudio Team (2015). RStudio: Integrated Development for R. Boston, MA: RStudio Inc.

Google Scholar

Sabatino, R., Di Cesare, A., Pasquaroli, S., Vignaroli, C., Citterio, B., Amiri, M., et al. (2015). Adherence and intracellular survival within human macrophages of Enterococcus faecalis isolates from coastal marine sediment. Microbes Infect. 17, 660–664. doi: 10.1016/j.micinf.2015.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Schierstaedt, J., Grosch, R., and Schikora, A. (2019). Agricultural production systems can serve as reservoir for human pathogens. FEMS Microbiol. Lett. 366:fnaa016. doi: 10.1093/femsle/fnaa016

PubMed Abstract | CrossRef Full Text | Google Scholar

Sheikh, J., Dudley, E. G., Sui, B., Tamboura, B., Suleman, A., and Nataro, J. P. (2006). EilA, a HilA-like regulator in enteroaggregative Escherichia coli. Mol. Microbiol. 61, 338–350. doi: 10.1111/j.1365-2958.2006.05234.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Shen, Y., Stedtfeld, R. D., Guo, X., Bhalsod, G. D., Jeon, S., Tiedje, J. M., et al. (2019). Pharmaceutical exposure changed antibiotic resistance genes and bacterial communities in so,il-surface-and overhead-irrigated greenhouse lettuce. Environ. Intern. 131: 105031. doi: 10.1016/j.envint.2019.105031

PubMed Abstract | CrossRef Full Text | Google Scholar

Siguier, P., Pérochon, J., Lestrade, L., Mahillon, J., and Chandler, M. (2006). ISfinder: the reference centre for bacterial insertion sequences. Nucleic Acids Res. 34, (Suppl. 1), D32–D36. doi: 10.1093/nar/gkj014

PubMed Abstract | CrossRef Full Text | Google Scholar

Sim, M., Lim, B., Sim, S. H., Kim, D., Jung, E., et al. (2014). Two tandem RNase III cleavage sites determine betT mRNA stability in response to osmotic stress in Escherichia coli. PLoS One 9:e100520. doi: 10.1371/journal.pone.0100520

PubMed Abstract | CrossRef Full Text | Google Scholar

Smalla, K., Cook, K., Djordjevic, S. P., Klümper, U., and Gillings, M. (2018). Environmental dimensions of antibiotic resistance: assessment of basic science gaps. FEMS Microbiol. Ecol. 94, 12. doi: 10.1093/femsec/fiy195

PubMed Abstract | CrossRef Full Text | Google Scholar

Sørensen, S. J., and Jensen, L. E. (1998). Transfer of plasmid RP4 in the spermosphere and rhizosphere of barley seedling. Antonie van Leeuwenhoek 73:69e77.

Google Scholar

Srinivasan, S., Aslan, A., Xagoraraki, I., Alocilja, E., and Rose, J. B. (2011). Escherichia coli, enterococci, and Bacteroides thetaiotaomicron qPCR signals through wastewater and septage treatment. Water Res. 45, 2561–2572. doi: 10.1016/j.watres.2011.02.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Sugiura, C., Miyaue, S., Shibata, Y., Matsumoto, A., and Maeda, S. (2017). Bacteriophage P1vir-induced cell-to-cell plasmid transformation in Escherichia coli. AIMS Microbiol. 3, 784–797. doi: 10.3934/microbiol.2017.4.784

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, D. (2016). Two different routes for double-stranded DNA transfer in natural and artificial transformation of Escherichia coli. Biochem. Biophys. Res. Commun. 471, 213–218. doi: 10.1016/j.bbrc.2016.01.137

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, D. (2018). Pull in and push out: mechanisms of horizontal gene transfer in bacteria. Microbiology 9:2154. doi: 10.3389/fmicb.2018.02154

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, D., Zhang, X., Wang, L., Prudhomme, M., Xie, Z., Martin, B., et al. (2009). Transforming DNA uptake gene orthologs do not mediate spontaneous plasmid transformation in Escherichia coli. J. Bacteriol. 191, 713–719. doi: 10.1128/JB.01130-08

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, D., Zhang, Y., Mei, Y., Jiang, H., Xie, Z., and Liu, H. (2006). Escherichia coli is naturally transformable in a novel transformation system. FEMS Microbiol. Lett. 265, 249–255. doi: 10.1111/j.1574-6968.2006.00503.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Tchagang, C. F., Xu, R., Doumbou, C. L., and Tambong, J. T. (2018). Genome analysis of two novel Pseudomonas strains exhibiting differential hypersensitivity reactions on tobacco seedlings reveals differences in nonflagellar T3 SS organization and predicted effector proteins. Microbiol. Open 7:e00553. doi: 10.1002/mbo3.553

PubMed Abstract | CrossRef Full Text | Google Scholar

Thomas, C. M., and Nielsen, K. M. (2005). Mechanisms of, and barriers to, horizontal gene transfer between bacteria. Nat. Rev. Microbiol. 3, 711–721. doi: 10.1038/nrmicro1234

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsen, S.-D., Fang, S.-S., Chen, M.-J., Chien, J.-Y., Lee, C.-C., and Tsen, D. H.-L. (2002). Natural plasmid transformation in Escherichia coli. J. Biomed. Sci. 9, 246–252. doi: 10.1007/bf02256071

PubMed Abstract | CrossRef Full Text | Google Scholar

Upton, A. M., and McKinney, J. D. (2007). Role of the methylcitrate cycle in propionate metabolism and detoxification in Mycobacterium smegmatis. Microbiology 153, 3973–3982. doi: 10.1099/mic.0.2007/011726-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Van Elsas, J. D., Semenov, A. V., Costa, R., and Trevors, J. T. (2011). Survival of Escherichia coli in the environment: fundamental and public health aspects. ISME J. 5:173. doi: 10.1038/ismej.2010.80

PubMed Abstract | CrossRef Full Text | Google Scholar

Van Hoek, A. H., Mevius, D., Guerra, B., Mullany, P., Roberts, A. P., and Aarts, H. J. (2011). Acquired antibiotic resistance genes: an overview. Front. Microbiol. 2:203. doi: 10.3389/fmicb.2011.00203

PubMed Abstract | CrossRef Full Text | Google Scholar

Vanaja, S. K., Bergholz, T. M., and Whittam, T. S. (2009). Characterization of the Escherichia coli O157: H7 Sakai GadE regulon. J. Bacteriol. 191, 1868–1877. doi: 10.1128/JB.01481-08

PubMed Abstract | CrossRef Full Text | Google Scholar

Vandecraen, J., Chandler, M., Aertsen, A., and Van Houdt, R. (2017). The impact of insertion sequences on bacterial genome plasticity and adaptability. Crit. Rev. Microbiol. 43, 709–730. doi: 10.1080/1040841X.2017.1303661

PubMed Abstract | CrossRef Full Text | Google Scholar

Woegerbauer, M., Jenni, B., Thalhammer, F., Graninger, W., and Burgmann, M. (2002). Natural genetic transformation of clinical isolates of Escherichia coli in urine and water. Appl. Environ. Microbiol. 68, 440–443. doi: 10.1128/AEM.68.1.440-443.2002

PubMed Abstract | CrossRef Full Text | Google Scholar

Wright, K. M., Crozier, L., Marshall, J., Merget, B., Holmes, A., and Holden, N. J. (2017). Differences in internalization and growth of Escherichia coli O157: H7 within the apoplast of edible plants, spinach and lettuce, compared with the model species Nicotiana benthamiana. Microbial Biotechnol. 10, 555–569. doi: 10.1111/1751-7915.12596

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, N., Zhang, W., Xie, S., Zeng, M., Liu, H., Yang, J., et al. (2020). Increasing prevalence of antibiotic resistance genes in manured agricultural soils in northern China. Front. Environ. Sci. Eng. 14:1. doi: 10.1007/s11783-019-1180-x

CrossRef Full Text | Google Scholar

Yang, Q. E., Sun, J., Li, L., Deng, H., Liu, B. T., Fang, L. X., et al. (2015). IncF plasmid diversity in multi-drug resistant Escherichia coli strains from animals in China. Front. Microbiol. 6:964. doi: 10.3389/fmicb.2015.00964

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, X., Wu, Q., Huang, J., Wu, S., Zhang, J., Chen, L., et al. (2020). Prevalence and characterization of Salmonella isolated from raw vegetables in China. Food Control 109:106915. doi: 10.1016/j.foodcont.2019.106915

CrossRef Full Text | Google Scholar

Yatsuyanagi, J., Saito, S., Miyajima, Y., Amano, K. I., and Enomoto, K. (2003). Characterization of atypical enteropathogenic Escherichia coli strains harboring the astA gene that were associated with a waterborne outbreak of diarrhea in Japan. J. Clin. Microbiol. 41, 2033–2039. doi: 10.1128/JCM.41.5.2033-39

CrossRef Full Text | Google Scholar

Zhang, Y., Li, A., Dai, T., Li, F., Xie, H., Chen, L., et al. (2018). Cell-free DNA: a neglected source for antibiotic resistance genes spreading from WWTPs. Environ. Sci. Technol. 52, 248–225. doi: 10.1021/acs.est.7b04283

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Y., Shi, C., Yu, J., Ren, J., and Sun, D. (2012). RpoS regulates a novel type of plasmid DNA transfer in Escherichia coli. PLoS One 7:e33514. doi: 10.1371/journal.pone.0033514

PubMed Abstract | CrossRef Full Text | Google Scholar

Zheng, W., Andersson, M., Mortezaei, N., Bullitt, E., and Egelman, E. (2019). Cryo-EM structure of the CFA/I pilus rod. IUCrJ. 6, 815–821. doi: 10.1107/S2052252519007966

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, H., Zhang, L., Li, S., Wang, Y., Sun, S., and Chen, et al. (2018). The rhizosphere and root exudates of maize seedlings drive plasmid mobilization in soil. Appl. Soil Ecol. 124, 194–202. doi: 10.1016/j.apsoil.2017.10.039

CrossRef Full Text | Google Scholar

Zotina, T., Köster, O., and Jüttner, F. (2003). Photoheterotrophy and light-dependent uptake of organic and organic nitrogenous compounds by Planktothrix rubescens under low irradiance. Freshw. Biol. 48, 1859–1872. doi: 10.1046/j.1365-2427.2003.01134.x

CrossRef Full Text | Google Scholar

Keywords: antibiotic resistance, horizontal gene transfer, treated wastewater, rhizosphere, root colonization, E. coli genomes, One Health

Citation: Riva F, Riva V, Eckert EM, Colinas N, Di Cesare A, Borin S, Mapelli F and Crotti E (2020) An Environmental Escherichia coli Strain Is Naturally Competent to Acquire Exogenous DNA. Front. Microbiol. 11:574301. doi: 10.3389/fmicb.2020.574301

Received: 19 June 2020; Accepted: 12 August 2020;
Published: 03 September 2020.

Edited by:

Pietro Alifano, University of Salento, Italy

Reviewed by:

Maria Soledad Ramirez, California State University, Fullerton, United States
Marco Rinaldo Oggioni, University of Leicester, United Kingdom

Copyright © 2020 Riva, Riva, Eckert, Colinas, Di Cesare, Borin, Mapelli and Crotti. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Elena Crotti, elena.crotti@unimi.it

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.