Literature DB >> 20723241

Influence of hydrological conditions on the Escherichia coli population structure in the water of a creek on a rural watershed.

Mehdy Ratajczak1, Emilie Laroche, Thierry Berthe, Olivier Clermont, Barbara Pawlak, Erick Denamur, Fabienne Petit.   

Abstract

BACKGROUND: Escherichia coli is a commensal bacterium of the gastro-intestinal tract of human and vertebrate animals, although the aquatic environment could be a secondary habitat. The aim of this study was to investigate the effect of hydrological conditions on the structure of the E. coli population in the water of a creek on a small rural watershed in France composed of pasture and with human occupation.
RESULTS: It became apparent, after studying the distribution in the four main E. coli phylo-groups (A, B1, B2, D), the presence of the hly (hemolysin) gene and the antibiotic resistance pattern, that the E. coli population structure was modified not only by the hydrological conditions (dry versus wet periods, rainfall events), but also by how the watershed was used (presence or absence of cattle). Isolates of the B1 phylo-group devoid of hly and sensitive to antibiotics were particularly abundant during the dry period. During the wet period and the rainfall events, contamination from human sources was predominantly characterized by strains of the A phylo-group, whereas contamination by cattle mainly involved B1 phylo-group strains resistant to antibiotics and exhibiting hly. As E. coli B1 was the main phylo-group isolated in water, the diversity of 112 E. coli B1 isolates was further investigated by studying uidA alleles (beta-D-glucuronidase), the presence of hly, the O-type, and antibiotic resistance. Among the forty epidemiolgical types (ETs) identified, five E. coli B1 ETs were more abundant in slightly contaminated water.
CONCLUSIONS: The structure of an E. coli population in water is not stable, but depends on the hydrological conditions and on current use of the land on the watershed. In our study it was the ratio of A to B1 phylo-groups that changed. However, a set of B1 phylo-group isolates seems to be persistent in water, strengthening the hypothesis that they may correspond to specifically adapted strains.

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Year:  2010        PMID: 20723241      PMCID: PMC2933670          DOI: 10.1186/1471-2180-10-222

Source DB:  PubMed          Journal:  BMC Microbiol        ISSN: 1471-2180            Impact factor:   3.605


Background

Ensuring the high microbiological quality of environmental water used as a source of recreational or drinking water is an important worldwide problem [1]. Poor microbiological quality of water results from contamination by microorganisms of human or animal fecal origin, and leads to the risk of gastro-enteritis in humans. Such contamination is caused by fecal bacteria from (i) point source pollution, e.g., treated effluents from wastewater treatments plants (WWTPs) which primarily treat wastewater of human origin, or (ii) nonpoint source pollution consisting of inputs of microorganisms of mainly animal origin, via run-off or leaching from pasture or manured soils [2-4]. The World Health Organization and, more recently, European guidelines (2006/7/EC), use Escherichia coli as the bacterial indicator species for fecal contamination of water. Epidemiological studies have been used to determine threshold values for concentrations of E. coli in water above which there is a risk of gastro-enteritis [5-7]. E. coli is a commensal bacterium of the gastro-intestinal tract of humans and vertebrate animals [8,9]. To survive in an aqueous environment it must resist environmental stressors (oligotrophy, UV, temperature, salinity) [10-12] and avoid predation by protozoa [13]. Some authors have suggested that some of these E. coli strains might then persist by becoming naturalized in fresh water and soil [14-16]. The aquatic environment can thus be considered a secondary habitat, where some authors have even shown the possible growth of E. coli [17,18]. The diversity of E. coli populations in their secondary habitats has been studied by analyzing the sequences of the gene uidA [19,20], palindromic repetitive sequences [21,22], ribotypes [23], and profiles of antibiotic resistance [24,25]. Using these methods, the dynamics of E. coli populations have been investigated and, in some cases, it has been possible to discriminate between the human or animal origin of the contamination. The structure of an E. coli population is characterized by four main phylo-groups (A, B1, B2, and D) [26-28]. Strains of the phylo-groups A and B1 are mainly found as commensals in humans and vertebrate animals, with the A phylo-group strains being predominant in humans and the B1 strains in animals [29]. Extraintestinal infections are mainly caused by the strains of the phylo-groups B2 and D [30]. Although strains of the B2 and D phylo-groups are typically less abundant as commensals, the distribution of the four phylo-groups can vary according to diet or climate [9,31-33]. It also has been suggested that some strains could be host-specific, such as B1 strains exhibiting the hly (hemolysin) gene, found only in animals, and B2 O81 O-type strains, found only in humans [34,35]. The objective of this study was to investigate the effects of various hydrological conditions on the structure of the E. coli population collected from stream water in a small rural watershed in northern France (Figure 1). Land use in the watershed is almost entirely agricultural with a low population density. Results show that an increase of fecal contamination was accompanied by a change in the distribution of phylo-groups in the E. coli population, represented by a change in the ratio of A to B1 phylo-groups. E. coli B1 isolates were the dominant phylo-group isolated in the water. Among E. coli B1 isolates, some epidemiological types (ETs) seem to be specific to water that is only slightly contaminated.
Figure 1

Location of study site and sample collection point.

Location of study site and sample collection point.

Results and discussion

E. coli population structure in creek water in relation to hydrological conditions and watershed land use

E. coli were enumerated and the population structure analyzed by phylo-grouping in three sets of samples collected under different hydrological and agricultural land-use conditions (Table 1). In this study, the E. coli population structure in creek water is analyzed from a single sample integrating all the daily samples. The origin (animal or human) of specific strains was investigated, in addition to the phylo-grouping, by hly gene detection in the E. coli B1 isolates and O81 typing of E. coli B2 isolates, as well as by studying the antibiotic resistance pattern. Statistical analyses (Chi2 test) were performed in order to compare hydrological conditions (dry versus wet periods, rainfall events).
Table 1

E. coli enumeration in creek water according to land use in the watershed, and hydrological parameters.

Hydrological conditionsUse of the watershedaE. coli
Sampling date(day/mo/yr)Rainfall (mm)Turbidity(NTUb)SSCc(mg.L-1)Head of cattleCFU/100 ml
Within 5 days of samplingOn day of sampling

Wet period21 Feb 200727.82.015.023.00(1.0 ± 0.1) 102
Dry period3 May 20073.80.03.111.4172(6.2 ± 0.6) 102
Rainfall event during dry period11 July 20078.950.033.074.4172(4.0 ± 0.7) 104

a 49 septic tanks (147 eq. inhabitants) were located between 500 to 600 m from the creek. One malfunctioning septic tank (4 eq. inhabitants) was located 400 m from the sampling point.

b Nephelometric turbidity unit

c Suspended Sediment Concentration

E. coli enumeration in creek water according to land use in the watershed, and hydrological parameters. a 49 septic tanks (147 eq. inhabitants) were located between 500 to 600 m from the creek. One malfunctioning septic tank (4 eq. inhabitants) was located 400 m from the sampling point. b Nephelometric turbidity unit c Suspended Sediment Concentration During the dry period (May 2007), when cattle were being grazed, but when there was no runoff or leaching, the water was slightly contaminated by E. coli (6.2 102 CFU/100 ml) (Table 1). The structure of the E. coli population was significantly different from the structures analyzed from the other sample collection periods (χ2 test P < 0.001), with a majority of E. coli B1 isolates (87%) (Table 2). This structure argues for contamination by E. coli B1 isolates that are better adapted to the aquatic environment [15], rather than for residual bovine fecal contamination, as the isolates were devoid of the hly gene and sensitive to all antibiotics [35,36].
Table 2

Structure and antibiotic resistance of the E. coli population in the stream during different hydrological conditions (χ2 test P < 0.001 ***α = 0.01).

E. coli phylo-group distribution
AB1B2D

Hydrologic conditions%(n)Numbers of antibiotic-resistantaAntibioticresistanceb (n)%(n)hlycNumbers of antibiotic-resistantaAntibioticresistanceb (n)%(n)O81dNumbers of antibiotic-resistantaAntibioticresistanceb (n)%(n)Numbers of antibiotic-resistantaAntibioticresistanceb(n)

Wet period47%(21)***0nd39%(17)***00nd7%(3)00nd7%(3)0nd

Dry period7%(3)***0nd87%(39)***00nd2%(1)00nd4%(2)0nd

Rain event during dry period32%(11)7CHL(3) TET(3) STR(1)44%(15)210CHL (5) TET(3) CHL/TET(2)0%(0)ndndnd23%(8)2CHL/TET(1) CHL(1)

n: numbers of isolates

a E. coli isolates resistant to one or more antibiotics

b CHL: chloramphenicol; TET: tetracyclin; STR: streptomycin

nd: not detected

c hly gene detection by PCR method

d Serotype O81 detection by PCR method

Structure and antibiotic resistance of the E. coli population in the stream during different hydrological conditions (χ2 test P < 0.001 ***α = 0.01). n: numbers of isolates a E. coli isolates resistant to one or more antibiotics b CHL: chloramphenicol; TET: tetracyclin; STR: streptomycin nd: not detected c hly gene detection by PCR method d Serotype O81 detection by PCR method It was during the wet period (February 2007), when there was no grazing, but when there was a malfunctioning septic system (4 equivalent inhabitants), that the lowest value of E. coli (1.0 102 CFU/100 ml) was measured in the water. The E. coli population was characterized by a high proportion of phylo-group A isolates (47%) (χ2 test P < 0.001), followed by E. coli B1 isolates without the hly gene (Table 2). None of the E. coli was resistant to the seven antibiotics tested (Table 2). This E. coli population is probably due to an input of solely human origin, as the structure corresponds to that already described for human commensal E. coli in France [31,32]. The rainfall event that occurred during the dry period (July 2007) resulted in runoff from the pastures and leaching of soils. The density of the E. coli in the stream water (4.0 104 CFU/100 ml) was two orders of magnitude higher than that measured for the two other periods (Table 1). During this rain event, an input of E. coli from cattle contamination (172 head of cattle) was added to that from human contamination (147 eq. inhabitants, 49 septic tanks, and the malfunctioning septic tank). The structure of the E. coli population was characterized by two main phylo-groups, B1 (44%) and A (32%). Some E. coli B1 isolates with the hly gene, presumably of animal origin were detected (2/15) [35]. More than 60% of these isolates were resistant to at least one of the three antibiotics used in veterinary medicine (chloramphenicol, tetracycline, and streptomycin) [37] (Table 2), suggesting an animal origin. Thus, it appears that both hydrological conditions and current land use in the watershed might affect the structure of the E. coli A and B1 populations in the stream. In contrast, the hydrological and land-use conditions did not exert a significant influence on the phylo-groups B2 and D, which were the least abundant phylo-groups recovered from the water (between 0 and 23%). No human-specific B2 O81 O-type strain was isolated during any sampling conditions, which is consistent with the low frequency of these strains in the E. coli population [34].

Changes in E. coli population structure during a rain event

In order to better understand the effect of a rain event on the structure of an E. coli population, we selected three out of the twenty-four hourly samples. Our selection represented three key moments (5 hours before, 6 hours after, and 19 hours after the rain event) showing how the turbidity and E. coli density evolved. It would not have been possible to observe this evolution using just a sample that integrated all the daily samples. The rain event consisted of 14 mm of rain that fell during a wet period, during which there were 42 cattle being grazed in the watershed (March 2008) (Figure 2). Five hours before rainfall began, the level of E. coli contamination was low (7.6 101 CFU/100 ml), and the small number of isolates did not permit analysis of the structure of the E. coli population (Table 3). During the rain event, the turbidity increased, as did the number of E. coli, consistent with previous work demonstrating a correlation between bacteria and particles [38]. Six hours after the rainfall event the E. coli density reached a value of 7.2 102 CFU/100 ml, at which point the structure of the E. coli population was characterized by a majority of E. coli phylo-group A (56%), with 63% being resistant to at least one antibiotic (amoxicillin, chloramphenicol, tetracycline, and streptomycin), suggesting fecal contamination of human origin resulting from leaching of soils and from surface runoff (Table 3). This structure was significantly different from that observed in the less contaminated water analyzed 19 hours after the rainfall event (χ2 test P < 0.001). At that time the E. coli density had decreased to 2.8 102 CFU/100 ml (Figure 2), and E. coli B1 isolates (74%) were the predominant E. coli phylo-group. These isolates are mainly hly positive (72%) with 31% resistant to at least one antibiotic (amoxicillin, tetracycline, and chloramphenicol), suggesting that there had been an input on the soils of E. coli of bovine origin that was then introduced into the water through run-off and/or leaching.
Figure 2

Influence of a rain event during a wet period on . The arrow indicates the beginning of 14 mm rain event.

Table 3

Structure and antibiotic resistance of the E. coli population in the stream in response to a rain event (χ2 test P < 0.001 ***α = 0.01).

E. coli p-group distribution
AB1B2D

Timing (h)a%(n)Numbers of antibiotic-resistantbAntibioticResistancec(n)%(n)hlydNumbers of antibiotic-resistantbAntibioticResistancec(n)%(n)O81eNumbers of antibiotic-resistantbAntibiotic resistancec (n)%(n)Numbers of antibiotic-resistantbAntibioticresistancec(n)

-5 h25%(3)2AMX/CHL(1) CHL(1).50%(6)04CHL(4)8%(1)00nd17%(2)0nd

+6 h56%(22)***14AMX/TIC/CHL(5)AMX/TIC/CHL/SXT/STR(1)AMX/TIC/SXT/STR(1)CHL(6)CHL/TET(1)15%(6)***13CHL(3)8%(3)02CHL(2).21%(8)4AMX/TIC/SXT/STR(1) CHL(3)

+19 h15%(6)***3AMX/CHL(1)AMX/TIC/CHL(1)AMX/TIC(1)74%(29)***219TET(1) CHL(7) AMX/CHL/TET(1)5%(2)02CHL(2).5%(2)1CHL(1)

nd: not detected

n: numbers of isolates

a Timing in relation to rainfall

b E. coli isolates resistant to one or more antibiotics

c AMX: amoxicillin; TIC: ticarcillin CHL: chloramphenicol; TET: tetracyclin; STR: streptomycin; SXT:trimethoprim + sulfamethoxazole

d hly gene detection by PCR method

e Serotype O81 detection by PCR method

Structure and antibiotic resistance of the E. coli population in the stream in response to a rain event (χ2 test P < 0.001 ***α = 0.01). nd: not detected n: numbers of isolates a Timing in relation to rainfall b E. coli isolates resistant to one or more antibiotics c AMX: amoxicillin; TIC: ticarcillin CHL: chloramphenicol; TET: tetracyclin; STR: streptomycin; SXT:trimethoprim + sulfamethoxazole d hly gene detection by PCR method e Serotype O81 detection by PCR method Influence of a rain event during a wet period on . The arrow indicates the beginning of 14 mm rain event. We cannot exclude an input from wild animals (mainly birds and rabbits), although wild E. coli strains are usually not resistant to antibiotics [39]. These results indicate that during the rain event, an increase in microbial contamination was accompanied by a modification of the structure of the E. coli population, resulting in a high ratio of phylo-groups A/B1. In contrast, in the water collected 19 h after the rain event, and only slightly contaminated by E. coli, the majority of E. coli isolates belonged to the B1 phylo-group.

Diversity of E. coli B1 strains isolated from the creek water

As E. coli B1 was the dominant phylo-group isolated in water from the Bébec, accounting for between 15% to 87% of the E. coli population (Tables 2 and 3), we investigated further the diversity of E. coli B1 isolates by (i) sequencing the uidA gene (beta-D-glucuronidase, 600 pb) and comparing the sequences obtained with those in the MLST Pasteur database in order to find the uidA allele, (ii) detecting the presence of hly and determining molecularly the O-type, (iii) studying the antibiotic resistance profile. A total of 40 epidemiological types (ETs) were identified among the 112 E. coli B1 isolated from the water (Table 4) and the proportion of each ETs differed for each sampling event (Figure 3A and 3B).
Table 4

Epidemiological types of E. coli B1 strains recovered from creek water.

Epidemiological typesuidA allelehlyAntibioticaO-typebNumbers of isolates
AMXCHLTET
ET 1.1uidA20000NT27
ET 1.2uidA21000NT1
ET 1.3uidA20010NT4
ET 1.4uidA20001NT2
ET 1.5uidA20011NT1
ET 1.6uidA20000O81
ET 1.7uidA20000O155
ET 1.8uidA20000O261
ET 1.9uidA20000O403
ET 2uidA40000NT1
ET 3.1uidA50000NT3
ET 3.2uidA51000NT4
ET 3.3uidA51010NT1
ET 3.4uidA51000O713
ET 3.5uidA51010O72
ET 3.6uidA50010O71
ET 3.7uidA51000O881
ET 4uidA110010NT1
ET 5uidA200000NT1
ET 6uidA210010NT1
ET 7uidA220000O151
ET 8.1uidA300000O71
ET 8.2uidA300010O71
ET 8.3uidA301000NT1
ET 9.1uidA500010NT2
ET 9.2uidA500000O151
ET 10.1uidA550000NT2
ET 10.2uidA550010NT1
ET 11uidA570000O81
ET 12uidA650010NT4
ET 13uidA660010O261
ET 14.1uidA900000O1508
ET 14.2uidA900000O153
ET 14.3uidA900001O261
ET 15uidA1030000NT1
ET 16uidA1100000NT3
ET 17.1uidA1110000NT3
ET 17.2uidA1110011NT1
ET 17.3uidA1110111NT1
ET 18New allele1001O71

aAMX: amoxicillin; CHL: chloramphenicol; TET: tetracyclin; all of epidemiological types of E. coli B1 strains were non-resistant to TIC: ticarcillin; SXT: trimethoprim + sulfamethoxazole; STR: streptomycin; and CIP: ciprofloxacin.

bNT: not O7, O8, O15, O26, O40, O45b, O78, O81, O88, O103, O104, O111, O128, or O150.

The binary coding stands for presence (1) or absence (0) of hly gene amplification, and resistance (1) or non-resistance (0) to antibiotics.

Figure 3

Distribution of .

Epidemiological types of E. coli B1 strains recovered from creek water. aAMX: amoxicillin; CHL: chloramphenicol; TET: tetracyclin; all of epidemiological types of E. coli B1 strains were non-resistant to TIC: ticarcillin; SXT: trimethoprim + sulfamethoxazole; STR: streptomycin; and CIP: ciprofloxacin. bNT: not O7, O8, O15, O26, O40, O45b, O78, O81, O88, O103, O104, O111, O128, or O150. The binary coding stands for presence (1) or absence (0) of hly gene amplification, and resistance (1) or non-resistance (0) to antibiotics. Distribution of . In the most contaminated water (4.0 ± 0.7 104 CFU/100 ml), the diversity of E. coli B1 strains (i.e., number of ETs/total number of B1 isolates for the sampling campaign) was higher (12/15) than in less contaminated water (9/17 in water containing 1.0 ± 0.1 102 CFU/100 ml; 12/39 in water containing 6.2 ± 0.6 102 CFU/100 ml) (Figure 3A). At the peak of the turbidity, E. coli density reached a value of 7.2 102 CFU/100 ml, the diversity of E. coli B1 strains was higher (6/6) than the diversity observed when turbidity and E. coli density decreased (10/29) (Figure 3B). Among the 40 ETs, strains of the group ET1.1 were present in all samples, regardless of the hydrological condition or the current land use in the watershed. However, they made up a greater proportion of the strains under non-storm conditions: during the dry period (no contribution of fecal bacteria from the watershed), 13 ET1.1/39 E. coli B1 were present, and during the wet period (a low contribution of human-derived fecal material, but none from livestock) 6 ET1.1/17 E. coli B1 were present (Figure 3A). In contrast, other ETs were present only under certain hydrological conditions and/or land-use conditions. ET1.7 and ET14.1 were present only during the dry period. ET3.4 was present after the rain event only when the turbidity decreased after the peak had been reached (Figure 3B). These results indicate that specific E. coli B1 ETs are more abundant in water that is only slightly contaminated, suggesting better survival of these ETs. These results strengthen the hypothesis of Walk et al., [15], that some strains of E. coli B1 phylo-group are persistent in water and might correspond to strains with an adaptive advantage in water. However, it must be pointed out that in this work, the E. coli A0 isolates (50/213), without any amplification of the genes chuA, yjaA and the fragment TSPE4.C2, could correspond to the new clades of Escherichia recently described which appear to be environmentally adapted [40].

Conclusions

In environmental water, the occurrence of E. coli, a bacterial indicator of fecal contamination, is related to both the use of the watershed by livestock and humans combined and the hydrological conditions [2,3,41]. In this study, focused on a small rural watershed composed of pasture and human occupation, we showed that both the number and the structure of the population of E. coli were modified by hydrological conditions and use of the watershed. In this watershed, following rainfall, an increase of fecal contamination was accompanied by a modification of the distribution of phylo-groups in the E. coli population, represented by change in the ratio of A to B1 phylo-groups. E. coli B1 strains were the dominant phylo-group isolated in the water. Among E. coli B1 isolates, some ETs seem to be specific to water that is only slightly contaminated, suggesting different survival abilities among E. coli B1 strains. The results from this study do not question the choice of E. coli as a bacterial indicator of microbial quality of water DCE 2006/7/CE (Excellent quality CFU/100 ml ≤500). They rather indicate that the structure of an E. coli population in water is not stable, but depends on the hydrological conditions, on current use of the watershed land, and on both the origin and intensity of the contamination by fecal bacteria.

Methods

Study site

The study was carried out in the experimental watershed "Le Bébec" (Haute Normandie, France) (Figure 1). The Bébec stream drains a small watershed of about 10 km2, of which 95% is classified as agricultural land. The elevation of the plateau on which Le Bébec is located averages about 100 m. The soils on the plateau consist of silts approximately 10 m thick, and are highly susceptible to crusting, compaction, and erosion, particularly during the autumn and winter. This watershed is located in a temperate zone with an oceanic climate. Annual precipitation during the period of the study was 1012 mm, and the daily average temperature was 10.9°C. Flow in the Bébec varied from 3 l.s-1 in summer dry periods to 15 l.s-1 in winter, and reached up to 500 l.s-1 in response to major winter storms. Water from the creek recharges the underlying chalk aquifer through a swallow hole. The karstified chalk aquifer has been widely studied [38]. When the flow rate in the stream exceeds the infiltration capacity of the swallow hole, the creek water overflows its banks and floods the valley. Land use in the area consists of approximately 55% cropland, 30% pasture (42 beef cattle, 130 dairy cattle), and 10% forest, with the remaining 5% divided among several other uses. The 213 households in the watershed (639 equivalent inhabitants) rely on on-site septic systems. Among them, 49 septic tanks (147 equivalent inhabitants) were located on a 500 to 600 m stretch of the stream. Untreated sewage of human origin (4 equivalent inhabitants) resulting from a dysfunctional septic system was located 400 m from the sampling location corresponding to a input of E. coli which varies from 6.5 101 CFUs per 100 ml-1 in a wet period to 3.6 104 CFUs per 100 ml-1 after a rainfall event. The land-use data were provided by the "Groupement d'Intéret Public Seine Aval", and data on beef and dairy cattle were provided by the "Direction Départementale de l'Agriculture et de la Forêt (DDAF)".

Materials and sampling method

Samples were collected with autosamplers (ISCO 6700 s, Roucaire, Courtaboeuf, France) from the stream, near the swallow hole, during a wet period in February 2007 (high flow) and during a dry period in May 2007 (low flow), after a storm during a dry period in July 2007 (Table 1), and after a storm during a wet period in March 2008, with samples taken 5 h before the storm, 6 h after the storm, and 19 h after the storm (Figure 2). The site was equipped with dataprobes (YSI 6820) to measure turbidity. Suspended sediment concentration was measured by filtration through pre-weighed Millipore filters (0.45 μm). Water (1 L) was collected by autosamplers every hour for 24 h, 250 ml of each flask were mixed until subsequent microbial analysis, except for the sampling campaign in March 2008. All samples were kept at 4°C until the microbiological analyses were carried out, which occurred within 8 h.

Enumeration of culturable E. coli

E. coli were enumerated using membrane filtration methods (0.45 μm HA047 Millipore, Bedford, MA, USA). E. coli were isolated from the water samples with a selective chromogenic media specific for E. coli, with the addition of a selective supplement for water samples (RAPID'E.coli 2 Medium and Supplement; Biorad, USA), and incubated for 24 h at 44°C. The threshold value for the enumeration of E. coli in water was 5 CFUs per 100 ml-1.

E. coli isolates

Two hundred and thirteen isolates of E. coli were isolated from the creek water. The isolates were taken from the membrane of RAPID'E.coli 2 medium and isolated on RAPID'E.coli 2 medium for 24 h at 37°C. Each clone of E. coli was stored on a cryo-bead system (AES laboratory, France) at -80°C. Four sets of isolates were obtained from the stream under different hydrological conditions: 44 isolates during dry season conditions (February 2007); 45 isolates during wet season conditions (May 2007); 34 isolates after a storm during the dry period (July 2007); and 90 isolates from the storm during the wet period (March 2008).

Determination of the E. coli phylo-groups, O type, and presence of the hly gene

The phylogenetic group to which the E. coli isolates belonged was determined by the PCR-based method, as described previously by Clermont et al. [42]. A total of 112 isolates of E. coli B1 were tested for the virulence factor hly by the PCR amplification method as described by Escobar-Páramo et al. [34] (hly.1: 5'-AGG-TTC-TTG-GGC-ATG-TAT-CCT-3'; hly.2: 5'-TTG-CTT-TGC-AGA-CTG-CAG-GTG-T-3'). All E. coli B2 were tested for the O81 type [10], and all E. coli B1 strains were tested for O7, O8, O15, O26, O40, O45b, O78, O81, O88, O103, O104, O111, O128 and O150 types by using the PCR-based method described by Clermont et al. [43] with the primers shown in [Additional file 1]. These O types have been previously shown to be present in B1 group strains (Clermont and Denamur, personal data).

Antibiotic resistance testing

Antibiotic resistance was determined by the agar diffusion method using seven antibiotic disks (BioMérieux, France): amoxicillin (AMX), ticarcillin (TIC), chloramphenicol (CHL), tetracycline (TET), trimethoprim + sulfamethoxazole (SXT), ciprofloxacin (CIP), and streptomycin (STR). Among them CHL, TET, STR are used in veterinary medicine. After 24 h of incubation at 37°C, the bacteria were classified as sensitive, intermediate, or resistant according to French national guidelines [44]. The E. coli CIP 7624 (ATCC 25922) was taken as the quality control strain. The data were regrouped as resistant or non-resistant, the latter corresponding to sensitive and intermediate phenotypes.

Allele number attribution of uidA gene of E. coli B1

Partial uidA sequences (600 pb) of 112 E. coli B1 isolates from the stream (17, dry season; 39, wet season; 15, storm during dry period; 41, storm during wet period [6, 6, and 19 5 h before the storm, 6 h after the storm, and 19 h after the storm, respectively]) were sequenced after PCR amplification (uidAR: 5'-CCA-TCA-GCA-CGT-TAT-CGA-ATC-CTT-3'; uidAF:5' CAT-TAC-GGC-AAA-GTG-TGG-GTC-AAT-3'). Thirty-five μl of PCR product, containing an estimated 100 ng/μl of DNA, were sequenced in both forward and reverse directions at Cogenics (Meylan, France). A consensus sequence was determined by aligning the forward sequence with the reverse complement of the reverse sequence. Alleles of uidA were determined by comparison of the uidA sequences found in the MLST database Pasteur http://www.pasteur.fr/cgi-bin/genopole/PF8/mlstdbnet.pl?file=Eco_profiles.xml.

Statistical analyses

The frequencies of various phylo-groups in the water samples were compared using the chi-square test. Tests were carried out using the XLSTATS version 6.0 (Addinsoft).

Abbreviations

AMX: amoxicillin; CFUs: colony-forming units; CHL: chloramphenicol; CIP: ciprofloxacin; ET: epidemiological type; MLST: multi locus sequence typing; PCR: polymerase chain reaction; TET: tetracycline; TIC: ticarcillin; STR: streptomycin; SXT: trimethoprim + sulfamethoxazole.

Authors' contributions

The work presented here was carried out in collaboration with all authors. MR, TB and FP defined the research theme. MR, TB and FP defined sampling strategy and designed methods and experiments. EL and BP defined sampling strategies during the rain event. MR carried out the laboratory experiments, and EL carried out antibiotic resistance analysis. MR and FP analyzed the data, interpreted the results and wrote the paper. OC and ED co-designed experiments, discussed analyses, interpretation and presentation. All authors have contributed to, seen and approved the final manuscript.

Additional file 1

List of primers used in the study for PCR O-typing. Click here for file
  38 in total

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Authors:  A Vantarakis; D Venieri; G Komninou; M Papapetropoulou
Journal:  Lett Appl Microbiol       Date:  2006-01       Impact factor: 2.858

3.  Phenotypic and genotypic characterization of encapsulated Escherichia coli isolated from blooms in two Australian lakes.

Authors:  Michelle L Power; Jane Littlefield-Wyer; David M Gordon; Duncan A Veal; Martin B Slade
Journal:  Environ Microbiol       Date:  2005-05       Impact factor: 5.491

Review 4.  Review of epidemiological studies on health effects from exposure to recreational water.

Authors:  A Prüss
Journal:  Int J Epidemiol       Date:  1998-02       Impact factor: 7.196

Review 5.  The indigenous gastrointestinal microflora.

Authors:  R D Berg
Journal:  Trends Microbiol       Date:  1996-11       Impact factor: 17.079

6.  Numbers and transported state of Escherichia coli in runoff direct from fresh cowpats under simulated rainfall.

Authors:  R W Muirhead; R P Collins; P J Bremer
Journal:  Lett Appl Microbiol       Date:  2006-02       Impact factor: 2.858

7.  Effect of human vicinity on antimicrobial resistance and integrons in animal faecal Escherichia coli.

Authors:  David Skurnik; Raymond Ruimy; Antoine Andremont; Christine Amorin; Pierre Rouquet; Bertrand Picard; Erick Denamur
Journal:  J Antimicrob Chemother       Date:  2006-03-31       Impact factor: 5.790

8.  Population structure, persistence, and seasonality of autochthonous Escherichia coli in temperate, coastal forest soil from a Great Lakes watershed.

Authors:  Muruleedhara N Byappanahalli; Richard L Whitman; Dawn A Shively; Michael J Sadowsky; Satoshi Ishii
Journal:  Environ Microbiol       Date:  2006-03       Impact factor: 5.491

9.  The link between phylogeny and virulence in Escherichia coli extraintestinal infection.

Authors:  B Picard; J S Garcia; S Gouriou; P Duriez; N Brahimi; E Bingen; J Elion; E Denamur
Journal:  Infect Immun       Date:  1999-02       Impact factor: 3.441

10.  Sex and virulence in Escherichia coli: an evolutionary perspective.

Authors:  Thierry Wirth; Daniel Falush; Ruiting Lan; Frances Colles; Patience Mensa; Lothar H Wieler; Helge Karch; Peter R Reeves; Martin C J Maiden; Howard Ochman; Mark Achtman
Journal:  Mol Microbiol       Date:  2006-06       Impact factor: 3.501

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  17 in total

1.  Escherichia coli diversity in livestock manures and agriculturally impacted stream waters.

Authors:  Kimberly L Cook; Carl H Bolster; Kati A Ayers; Dale N Reynolds
Journal:  Curr Microbiol       Date:  2011-08-28       Impact factor: 2.188

2.  Evidence for coexistence of distinct Escherichia coli populations in various aquatic environments and their survival in estuary water.

Authors:  T Berthe; M Ratajczak; O Clermont; E Denamur; F Petit
Journal:  Appl Environ Microbiol       Date:  2013-05-31       Impact factor: 4.792

3.  Phylogenetic background and habitat drive the genetic diversification of Escherichia coli.

Authors:  Marie Touchon; Amandine Perrin; Jorge André Moura de Sousa; Belinda Vangchhia; Samantha Burn; Claire L O'Brien; Erick Denamur; David Gordon; Eduardo Pc Rocha
Journal:  PLoS Genet       Date:  2020-06-12       Impact factor: 5.917

4.  SNP diversity of Enterococcus faecalis and Enterococcus faecium in a South East Queensland waterway, Australia, and associated antibiotic resistance gene profiles.

Authors:  Irani Rathnayake; Megan Hargreaves; Flavia Huygens
Journal:  BMC Microbiol       Date:  2011-09-12       Impact factor: 3.605

5.  Understanding the association of Escherichia coli with diverse macroalgae in the lagoon of Venice.

Authors:  Grazia M Quero; Luca Fasolato; Carla Vignaroli; Gian Marco Luna
Journal:  Sci Rep       Date:  2015-06-04       Impact factor: 4.379

6.  Molecular hazard identification of non-O157 Shiga toxin-producing Escherichia coli (STEC).

Authors:  Eelco Franz; Angela H A M van Hoek; Mark Wuite; Fimme J van der Wal; Albert G de Boer; E I Bouw; Henk J M Aarts
Journal:  PLoS One       Date:  2015-03-19       Impact factor: 3.240

7.  Clustering of water bodies in unpolluted and polluted environments based on Escherichia coli phylogroup abundance using a simple interaction database.

Authors:  Nancy de Castro Stoppe; Juliana Saragiotto Silva; Tatiana Teixeira Torres; Camila Carlos; Elayse Maria Hachich; Maria Inês Zanoli Sato; Antonio Mauro Saraiva; Laura Maria Mariscal Ottoboni
Journal:  Genet Mol Biol       Date:  2014-11-03       Impact factor: 1.771

Review 8.  A short review of fecal indicator bacteria in tropical aquatic ecosystems: knowledge gaps and future directions.

Authors:  Emma Rochelle-Newall; Thi Mai Huong Nguyen; Thi Phuong Quynh Le; Oloth Sengtaheuanghoung; Olivier Ribolzi
Journal:  Front Microbiol       Date:  2015-04-17       Impact factor: 6.064

9.  Seasonal and genotypic changes in escherichia coli phylogenetic groups in the Yeongsan River basin of South Korea.

Authors:  Jeonghwan Jang; Doris Y W Di; Anna Lee; Tatsuya Unno; Michael J Sadowsky; Hor-Gil Hur
Journal:  PLoS One       Date:  2014-07-07       Impact factor: 3.240

10.  CRISPR1 analysis of naturalized surface water and fecal Escherichia coli suggests common origin.

Authors:  Lisa D Tymensen
Journal:  Microbiologyopen       Date:  2016-03-22       Impact factor: 3.139

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