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. 2009 Sep 21;9:202. doi: 10.1186/1471-2180-9-202

Biofilm formation as a novel phenotypic feature of adherent-invasive Escherichia coli (AIEC)

Margarita Martinez-Medina 1, Plínio Naves 2, Jorge Blanco 3, Xavier Aldeguer 4, Jesus E Blanco 3, Miguel Blanco 3, Carmen Ponte 2, Francisco Soriano 2, Arlette Darfeuille-Michaud 5, L Jesus Garcia-Gil 1,✉
PMCID: PMC2759958  PMID: 19772580

Abstract

Background

Crohn's disease (CD) is a high morbidity chronic inflammatory disorder of unknown aetiology. Adherent-invasive Escherichia coli (AIEC) has been recently implicated in the origin and perpetuation of CD. Because bacterial biofilms in the gut mucosa are suspected to play a role in CD and biofilm formation is a feature of certain pathogenic E. coli strains, we compared the biofilm formation capacity of 27 AIEC and 38 non-AIEC strains isolated from the intestinal mucosa. Biofilm formation capacity was then contrasted with the AIEC phenotype, the serotype, the phylotype, and the presence of virulence genes.

Results

Specific biofilm formation (SBF) indices were higher amongst AIEC than non-AIEC strains (P = 0.012). In addition, 65.4% of moderate to strong biofilms producers were AIEC, whereas 74.4% of weak biofilm producers were non-AIEC (P = 0.002). These data indicate that AIEC strains were more efficient biofilm producers than non-AIEC strains. Moreover, adhesion (P = 0.009) and invasion (P = 0.003) indices correlated positively with higher SBF indices. Additionally, motility (100%, P < 0.001), H1 type flagellin (53.8%, P < 0.001), serogroups O83 (19.2%, P = 0.008) and O22 (26.9%, P = 0.001), the presence of virulence genes such as sfa/focDE (38.5%, P = 0.003) and ibeA (26.9%, P = 0.017), and B2 phylotype (80.8%, P < 0.001) were frequent characteristics amongst biofilm producers.

Conclusion

The principal contribution of the present work is the finding that biofilm formation capacity is a novel, complementary pathogenic feature of the recently described AIEC pathovar. Characterization of AIEC specific genetic determinants, and the regulatory pathways, involved in biofilm formation will likely bring new insights into AIEC pathogenesis.

Background

Crohn's disease (CD) is a chronic-relapsing inflammatory bowel disease (IBD) that can affect the entire gastrointestinal tract. The incidence rate varies from 1 to 20 cases per 105 people per year and is still rising in some countries [1]. Although the aetiology of CD remains elusive to date, it is widely accepted that several factors are involved in the onset or perpetuation of the disease. These factors include genetic and immunologic features that confer host susceptibility, and external or environmental factors such as microorganisms and lifestyle [2,3]. Environmental factors play an important role because there is a low concordance between identical twins, both for CD and ulcerative colitis (UC) [4]. The involvement of microbes in the onset or perpetuation of inflammation has been extensively studied [5-10]. To date, some pathogens have been proposed as causative agents. In particular, adherent-invasive E. coli (AIEC) is increasing in relevance because it has been reported to be more prevalent in CD patients than in controls in several countries (France [11], United Kingdom [12], USA [13,14], and Spain [15]). AIEC strains have the ability to adhere to and to invade intestinal epithelial cells in vitro as well as to survive and replicate within macrophages without inducing host-cell death and promoting tumour necrosis factor (TNF) α release. No unique genetic sequences have been described for AIEC, nor have specific genes of diarrhoeagenic pathovars been detected yet for AIEC, but they do carry many virulence-associated genes characteristic of extraintestinal pathogenic E. coli (ExPEC) [13,15,16]. For that reason, AIEC pathovar has been speculated to be closely related to ExPEC pathovar.

In a previous work, we observed that some CD patients showed a high diversity of AIEC subtypes associated to their intestinal mucosa [15]. In a given patient, we could detect up to 8 different clones as assessed by pulsed field gel electrophoresis. On the other hand, AIEC abundance, richness and diversity were lower in non-IBD controls. We hypothesized that the higher diversification of clones could be explained by a long-term colonization of AIEC in CD. Biofilm formation can be a way to persistently colonize the intestinal mucosa [17], as has been reported for commensal microbiota in healthy subjects [18]. Moreover, for certain organisms such as the species belonging to the uropathogenic E. coli pathovar (UPEC) - which form intracellular biofilms [19] - and to the enteroaggregative pathogenic E. coli pathovar (EAEC) - which form thick biofilms that adhere to the apical side of enterocytes [20]-, active biofilm formation is feature of their pathogenesis. For that reason, the primarily aim of this work was to determine the biofilm formation capacity of AIEC strains and non-AIEC strains, both isolated from the intestinal mucosa.

We herein report a new phenotypic feature of the recently described AIEC pathovar which is the ability to form biofilms in vitro. In addition, we illustrate those seropathotypes and phylotypes more frequently found amongst biofilm producers.

Results

AIEC strains are stronger biofilm producers than non-AIEC strains isolated from the intestinal mucosa

The present study involved a collection of 65 E. coli strains, 27 of which (41.5%) were classified as AIEC by their ability to adhere to and invade intestinal epithelial cells, and to survive and replicate within macrophages, as previously described [11] (Table 1).

Table 1.

Phenotypic and genotypic characteristics of the bacterial strains used in this study.

Id Strain Origin Serotype Phylo. Virulence gene carriage
AIEC19 C ONT: H- A iucD, fimH, fimAvMT78
AIEC07 C O22: H7 B1 papC, iucD, fimH
AIEC04 C O6: HNT B2 papC, sfa/focDE, iucD, hlyA, cnf1, fimH, fimAvMT78
AIEC10 C O159: H34 A fimH
AIEC06 C O6: H5 B2 papC, sfa/focDE, hlyA, cnf1, fimH, cdtB
AIEC08 C O25:H4 B2 papC, iucD, ibeA, fimH, cdtB
AIEC25 CD O6: H31 B2 papC, hlyA, cnf1, fimH
AIEC21 CD O6: H1 B2 papC, iucD, hlyA, cnf1, fimH
AIEC12 CD O26: H- B2 papC, afa/draBC, iucD, fimH
AIEC20 CD O11: H18 D papC, afa/draBC, iucD, fimH
AIEC17 CD ONT: HNT D neuC, ibeA, fimH
AIEC05 CD O1: H- B2 papC, neuC, fimH
AIEC02 CD O8: H21 B2 papC, neuC, fimH
AIEC01 CD O6: H1 B2 sfa/focDE, iucD, fimH
AIEC09 CD ONT: H- B2 papC, sfa/focDE, iucD, hlyA, cnf1, fimH, fimAvMT78
AIEC24 CD ONT: H- A iucD, fimH, fimAvMT78
AIEC23 CD O5: HNT A fimH
AIEC11 CD O22: H1 B2 afa/draBC, iucD, fimH
AIEC15-1 CD O22: H1 B2 fimH
AIEC14-1 CD O22: H1 B2 fimH
AIEC16-2 CD O22: H1 B2 fimH
LF82 CD O83: H1 B2 ibeA, fimH, fimAvMT78
AIEC13 UC O25: H4 B2 papC, iucD, hlyA, cnf1, ibeA, fimH, cdtB
PP16 Sepsis O83: H1 B2 ibeA, fimH, fimAvMT78
FV7563 UTI O25: H4 B2 afa/draBC, iucD, fimH
OL96A UTI O6: H1 B2 papC, sfa/focDE, iucD, hlyA, cnf1, fimH
PP215 Sepsis O6: H1 B2 papC, sfa/focDE, iucD, hlyA, cnf1, fimH
ECG-046 C ONT: H29 B1 iucD, pCDV432
ECG-060 C O102: H6 D papC, iucD, fimH
ECG-037 C O1: H- D papC, neuC, iucD, fimH, fimAvMT78
ECG-016 C O55: H- A neuC, iucD, fimH
ECG-017 C O22: H18 B2 sfa/focDE, fimH
ECG-022 C O15: H- A afa/draBC, neuC, iucD, fimH
ECG-043 C O83: H1 B2 ibeA, fimH, fimAvMT78
ECG-041 C O2: H- B2 papC, sfa/focDE, iucD, hlyA, cnf1, fimH, cdtB
ECG-012 C O18: H1 B2 papC, sfa/focDE, iucD, hlyA, cnf1, fimH
ECG-025 C O6: H31 B2 papC, hlyA, cnf1, fimH
ECG-049 C O15: H16 B2 papC, iucD, fimH
ECG-031 C O161: H4 D iucD, fimH
ECG-023 C ONT: H- At iucD, fimH, fimAvMT78
ECG-054 C O14: H- D papC, iucD, fimH
ECG-008 C O14: H7 B2 papC, iucD, ibeA, fimH, fimAvMT78
ECG-004 C O22: H7 B1 fimH
ECG-013 C O18: H1 B2 papC, sfa/focDE, iucD, hlyA, cnf1, fimH
ECG-055 C O17: H18 D papC, iucD, fimH
ECG-024 C O174: H- B1 fimH
ECG-064 CD O166: H21 B1 fimH
ECG-042 CD O7: H6 B2 fimH, fimAvMT78
ECG-001 CD O6: H31 B2 papC, hlyA, cnf1, fimH
ECG-005 CD O4: H5 B2 papC, sfa/focDE, hlyA, cnf1, fimH
ECG-065 CD O141: H- A fimH, fimAvMT78
ECG-047 CD O119: H21 D iucD, fimH
ECG-019 CD ONT: H- A
ECG-018 CD ONT: H- A iucD
ECG-002 CD O175: H- B1 fimH
ECG-034 CD O127: H28 D iucD, fimH
ECG-021 CD O54: H21 B1 fimH
ECG-063 CD ONT: H21 B1 fimH
ECG-056 CD ONT: H18 D papC, afa/draBC, iucD, fimH
ECG-057 CD O11: H18 D papC, afa/draBC, iucD, fimH
ECG-053 CD O11: H- D papC, afa/draBC, iucD, fimH
ECG-059 CD ONT: H18 D papC, iucD, fimH
ECG-026 CD O1: H- B2 papC, neuC, ibeA, fimH, fimAvMT78
ECG-015 CD O2: H6 B2 papC, sfa/focDE, neuC, hlyA, cnf1, fimH
ECG-009 CD O83: H1 B2 sfa/focDE, neuC, iucD, ibeA, fimH, fimAvMT78,cdtB
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Abbreviators: CD: Crohn's disease; UC: ulcerative colitis; C: non-IBD control, UTI: urinary tract infection; ONT: serogroup non-typeable; HNT: flagellar antigen non-typeable; H-: nonmotile strain; Phylo.: Phylogroup; At: Atypical.

Within the category of weak biofilm producers, 74.4% of strains were non-AIEC, whereas 65.4% of moderate to strong biofilm producers were AIEC (P = 0.002). Amongst these AIEC strains, 22.2% were strong biofilm producers, and 40.7% were moderate biofilm producers (Table 2). Similar results were obtained when SBF index values were compared. As shown in Figure 1, the mean SBF index was higher in AIEC strains than in non-AIEC (SBFAIEC = 0.65 ± 0.53; SBFNON-AIEC = 0.36 ± 0.36; P = 0.012).

Table 2.

AIEC phenotype and category of biofilm formation ability of the strains.

Id Strain AIEC I_ADH (mean ± SD) I_INV (mean ± SD) I_REPL (mean ± SD) SBF (mean ± SD) BFC
AIEC19 + 2.40 ± 0.65 0.111 ± 0.016 1568.1 ± 1726 0.053 ± 0.019 W
AIEC07 + 20.00 ± 13.50 0.565 ± 0.392 1692.6 ± 296.8 2.391 ± 0.317 S
AIEC04 + 21.50 ± 9.00 0.320 ± 0.016 584.7 ± 418.5 0.772 ± 0.132 M
AIEC10 + 6.00 ± 0.98 0.226 ± 0.192 1413.7 ± 51.4 0.610 ± 0.175 M
AIEC06 + 10.25 ± 3.25 0.177 ± 0.019 1717.7 ± 307.9 1.212 ± 0.233 S
AIEC08 + 1.13 ± 0.18 0.172 ± 0.066 104.8 ± 49.7 0.397 ± 0.133 W
AIEC25 + 2.75 ± 1.33 0.482 ± 0.129 775.9 ± 128.3 0.437 ± 0.129 W
AIEC21 + 17.00 ± 7.75 0.109 ± 0.013 1297.1 ± 625.2 0.558 ± 0.205 M
AIEC12 + 22.25 ± 4.00 0.142 ± 0.017 193.7 ± 55.9 0.125 ± 0.052 W
AIEC20 + 14.25 ± 6.25 0.125 ± 0.098 343.9 ± 244.6 0.284 ± 0.116 W
AIEC17 + 21.75 ± 17.50 0.266 ± 0.055 1053.0 ± 75.0 0.840 ± 0.286 M
AIEC05 + 9.50 ± 2.25 0.202 ± 0.042 704.9 ± 714.0 0.181 ± 0.072 W
AIEC02 + 0.85 ± 1.03 0.802 ± 0.035 2187.8 ± 4.8 0.106 ± 0.035 W
AIEC01 + 16.00 ± 9.25 0.284 ± 0.106 1566.7 ± 1060 0.700 ± 0.177 M
AIEC09 + 5.25 ± 4.00 0.216 ± 0.010 2562.3 ± 240.6 0.068 ± 0.035 W
AIEC24 + 1.98 ± 1.40 0.309 ± 0.138 1625.6 ± 115.6 0.076 ± 0.044 W
AIEC23 + 9.75 ± 0.70 0.568 ± 0.148 2362.1 ± 250.2 0.300 ± 0.093 W
AIEC11 + 0.83 ± 0.19 2.125 ± 1.164 739.4 ± 477.4 0.537 ± 0.129 M
AIEC15-1 + 25.00 ± 15.75 2.261 ± 1.349 776.9 ± 304.8 1.090 ± 0.407 S
AIEC14-1 + 4.25 ± 3.50 0.508 ± 0.081 847.9 ± 512.8 0.654 ± 0.153 M
AIEC16-2 + 10.00 ± 1.425 0.305 ± 0.159 659.7 ± 437.0 0.502 ± 0.134 M
LF82 + 25.00 ± 5.25 2.261 ± 0.011 776.9 ± 252.4 1.641 ± 0.326 S
AIEC13 + 1.20 ± 4.25 0.104 ± 0.000 1045.9 ± 181.6 0.772 ± 0.211 M
PP16 + 8.00 ± 0.98 1.400 ± 0.081 225.9 ± 541.2 1.012 ± 0.268 S
FV7563 + 6.75 ± 6.00 0.129 ± 0.072 470.0 ± 264.0 0.518 ± 0.226 M
OL96A + 5.25 ± 5.00 0.388 ± 0.159 457.5 ± 259.3 1.208 ± 0.202 S
PP215 + 0.83 ± 0.60 0.453 ± 0.350 1425.4 ± 229.4 0.546 ± 0.139 M
ECG-046 - - < 0.1 - 0.004 ± 0.010 W
ECG-060 - - < 0.1 - 0.127 ± 0.041 W
ECG-037 - - < 0.1 - 0.042 ± 0.024 W
ECG-016 - - < 0.1 - 0.134 ± 0.085 W
ECG-017 - - < 0.1 - 1.074 ± 0.286 S
ECG-022 - - < 0.1 - 0.143 ± 0.090 W
ECG-043 - - < 0.1 - 1.187 ± 0.511 S
ECG-041 - - < 0.1 - 0.301 ± 0.123 W
ECG-012 - - < 0.1 - 0.741 ± 0.259 M
ECG-025 - - < 0.1 - 0.154 ± 0.043 W
ECG-049 - - < 0.1 - 0.384 ± 0.160 W
ECG-031 - - < 0.1 - 0.067 ± 0.024 W
ECG-023 - 0.90 ± 0.65 0.052 ± 0.003 - 0.038 ± 0.020 W
ECG-054 - - < 0.1 - 0.209 ± 0.128 W
ECG-008 - - < 0.1 - 0.817 ± 0.288 M
ECG-004 - - < 0.1 - 1.113 ± 0.234 S
ECG-013 - - < 0.1 - 0.516 ± 0.332 M
ECG-055 - - < 0.1 - 0.108 ± 0.033 W
ECG-024 - - < 0.1 - 0.037 ± 0.016 W
ECG-064 - - < 0.1 - 0.553 ± 0.171 M
ECG-042 - - < 0.1 - 0.348 ± 0.147 W
ECG-001 - - < 0.1 - 0.299 ± 0.106 W
ECG-005 - - < 0.1 - 0.404 ± 0.103 W
ECG-065 - - 0.061 ± 0.070 - 0.026 ± 0.022 W
ECG-047 - 1.93 ± 1.95 0.259 ± 0.084 - 0.007 ± 0.016 W
ECG-019 - - < 0.1 - 0.439 ± 0.057 W
ECG-018 - - < 0.1 - 0.058 ± 0.042 W
ECG-002 - - < 0.1 - 0.039 ± 0.023 W
ECG-034 - - < 0.1 - 0.293 ± 0.101 W
ECG-021 - 6.00 ± 4.00 0.033 ± 0.011 - 0.311 ± 0.117 W
ECG-063 - - < 0.1 - 0.195 ± 0.064 W
ECG-056 - - < 0.1 - 0.124 ± 0.047 W
ECG-057 - 11.75 ± 7.25 0.013 ± 0.011 - 0.241 ± 0.094 W
ECG-053 - - < 0.1 - 0.262 ± 0.083 W
ECG-059 - - < 0.1 - 0.200 ± 0.137 W
ECG-026 - - < 0.1 - 0.418 ± 0.189 W
ECG-015 - 5.25 ± 2.75 0.038 ± 0.004 - 1.035 ± 0.219 S
ECG-009 - - < 0.1 - 1.346 ± 0.205 S
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Adhesion, invasion, intra-macrophage replication, and biofilm formation indices are specified. Abbreviators: AIEC: AIEC phenotype (+: strains that adhere to and invade Intestine-407 cells and that were able to survive and/or replicate within J774 macrophages in vitro); I_ADH: adhesion index; I_INV: invasion index; I_REPL: replication index; SBF: specific biofilm formation index; BFC: Biofilm formation category; W: weak biofilm producer; M: moderate biofilm producer; and S: strong biofilm producer.

Figure 1.

Figure 1

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Mean specific biofilm formation (SBF) index of AIEC and mucosa-associated non-AIEC strains. The mean SBF index was higher for AIEC than for non-AIEC strains, as corroborated by one-way ANOVA (P = 0.012).

Interestingly, higher adhesion indices from both AIEC and non-AIEC strains correlated with higher SBF indices (P = 0.009). Moreover, the correlation was even stronger between the invasion and biofilm formation capacities of AIEC strains (P = 0.003). No correlation was observed with the ability of AIEC strains to survive and replicate within macrophages (Figure 2).

Figure 2.

Figure 2

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Correlations between biofilm formation and the adhesion, invasion, and intra-macrophage replication abilities of both AIEC and non-AIEC strains. Adhesion and invasion indices correlated positively with biofilm formation capacity, whereas intra-macrophage survival and replication did not. Adhesion index was calculated as: I_ADH = attached bacterial cells/intestinal cell; invasion index as: I_INV(%) = (intracellular bacteria/4×106 bacteria inoculated) × 100; and replication index as: I_REPL = (cfu ml-1 at 24 h/cfu ml-1 at 1 h)× 100.

Nonmotile strains were unable to form biofilms and, amongst motile strains, those with H1 flagellar type showed the highest biofilm formation indices

An additional factor that was associated with biofilm formation was the motility of the strains. Regardless of adhesion and invasion abilities, motile strains showed higher SBF indices than nonmotile strains (SBFMOTILE= 0.61 ± 0.48, SBFNONMOTILE = 0.14 ± 0.13; P < 0.001). All strains producing moderate-strong biofilms were motile, whereas strains classified as weak biofilm producers were heterogeneous in their motility capacities. In concordance, the isogenic mutant LF82-ΔfliC which is nonmotile, non-flagellated and express only few type 1 pili, did not display the ability to form biofilms (SBF = 0,393 ± 0,084) in contrast to LF82 wild type (SBF = 1.641 ± 0.326).

Moreover, SBF indices were specifically higher for the H1 serotype as shown in Figure 3. All H1 serotypes were moderate-strong biofilm producers. In contrast, only 12 out of 33 (36.4%) of strains with other H types were classified within this category (Table 3).

Figure 3.

Figure 3

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Mean SBF index of motile and nonmotile strains irrespectively of their AIEC phenotype. SBF indices were higher in motile strains, especially H1 serotypes, than nonmotile strains. H-: nonmotile strains; H1: motile and H1 flagellar type; Hx: motile and any flagellar type except for H1.

Table 3.

Frequency of strains according to their motility capacity and flagellar antigen type within biofilm producers and non-producers.

Biofilm formation category
Moderate-Strong
(N = 26) 		Weak
(N = 39)
Motility/H type N (%) N (%) P
H- (N = 18) 0 (0) 18 (46.2) < 0.001a, 0.003b
H1 (N = 14) 14 (53.8) 0 (0) < 0.001a, < 0.001c
Hx (N = 33) 12 (46.2) 21 (53.8) < 0.001c, 0.003b
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Abbreviators: H-: nonmotile strains; H1: motile and H1 flagellar type; Hx: motile and any flagellar type except H1.asignificance between H- and H1; bsignificance between H- and Hx; csignificance between H1 and Hx.

To determine whether motility and AIEC-like phenotype were intrinsically related factors, the frequency of motile and nonmotile strains within AIEC and non-AIEC strains was calculated. Although the majority of AIEC strains were motile (81.5%), no significant differences were observed in comparison to non-AIEC strains (65.8%). Moreover, no interaction among these factors was detected by applying a factorial ANOVA. Therefore, motility and adherence/invasion capacity were independent factors associated with biofilm formation.

Serogroups associated with higher biofilm producing abilities

As shown in Figure 4, O83, followed by O22, showed the highest mean SBF indices. Regardless the AIEC phenotype and origin of the strains (intestinal or extraintestinal and non-IBD or CD associated), all the strains of O22 and O83 serogroup were found to be moderate-strong biofilm producers.

Figure 4.

Figure 4

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Mean SBF index of the strains classified by their serogroup. White bars: Serogroups with mean SBF that falls into 'weak' biofilm formation category. Grey bars: Serogroups with mean SBF that falls into 'moderate' biofilm formation category. Black bars: Serogroups with mean SBF that falls into 'strong' biofilm formation category. The serotype of those E. coli strains that showed different biofilm formation category than the mean SBF for the serogroup is specified: 1: Only AIEC17 (ONT:HNT) strain was classified as 'moderate' biofilm producer (M). 2: Nonmotile ECG-041 (O2:H-) strain was classified as 'weak' biofilm producer (W). 3: Three strains with O6:H31 serotype were classified as 'weak' biofilm producers, whereas strains with O6:H1, O6:H5 and O6:HNT serotypes were 'moderate' or 'strong' biofilm producers. 4: Nonmotile ECG-054 (O14:H-) was 'weak' biofilm producer (W). 5: Three strains were 'moderate' (O22:H1) and 4 strains 'strong' (O22:H1, O22:H7, and O22:H18) biofilm producers. 6: AIEC08 (O25:H4) was classified as 'weak' biofilm producer.

Other serogroups with mean SBF that fell into the 'moderate' category were: O2, O6, O14, O18, O25, O159, and O166. However, some strains that were unable to form biofilms were detected amongst these serogroups. For some serogroups such as O2 and O14 those strains classified as weak biofilm producers were particularly those nonmotile O2/O14 strains. In turn, strains with weak to strong biofilm formation abilities amongst the O6 strains belonged to a certain serotype (O6:H31) and this serotype was not present amongst the categories 'moderate' or 'strong' biofilm producers. Nevertheless, very few strains have been analyzed for some of these serogroups (O2, O14, O18, O25, O159, and O166) due to the nature of the strains isolated from the intestinal mucosa, thus no robust conclusions can be extracted for them.

Distribution of virulence-associated genes and phylogroups within biofilm producers

Of the 65 E. coli strains used in this study, 45 (69.2%) harboured more than two virulence-associated genes in addition to fimH; thus, these strains are considered an extraintestinal pathogenic E. coli according to the definition of Johnson et al [21]. Virulence-associated gene distribution was similar between biofilm producers (moderate-strong) and non-biofilm producers (weak), with the exception of adherence factor sfa/focDE (S or F1C fimbriae) and the invasion-associated gene ibeA (Table 4), which were more prevalent in biofilm-forming strains (P = 0.003 and P = 0.017, respectively).

Table 4.

Comparison of virulence gene prevalence and phylogroup between weak and moderate-strong biofilm producers.

Biofilm formation category
Total
(N = 65) 		Moderate-Strong
(N = 26) 		Weak
(N = 39) 		P
Virulence gene N (%) N (%) N (%)
Adhesin-encoding genes
papC 32 (49.2) 11 (42.3) 21 (53.8) 0.255
sfa/focDE 13 (20.0) 10 (38.5) 3 (7.7) 0.003
afa/draBC 8 (12.3) 2 (7.7) 6 (15.4) 0.301
fimH 62 (95.4) 26 (100) 36 (92.3) 0.209
fimAvMT78 14 (21.5) 6 (23.1) 8 (20.5) 0.520
Protectin/invasion-encoding genes
ibeA 9 (13.8) 7 (26.9) 2 (5.1) 0.017
K1 neuC 9 (13.8) 3 (11.5) 6 (15.4) 0.478
Siderophore-related genes
iucD 37 (56.9) 13 (50.0) 24 (61.5) 0.253
Toxin-encoding genes
hlyA 15 (23.1) 9 (34.6) 6 (15.4) 0.067
cnf1 15 (23.1) 9 (34.6) 6 (15.4) 0.067
cdtB 5 (7.7) 3 (11.5) 2 (5.1) 0.312
Phylogroup
A 9 (13.8) 1 (3.8) 8 (21.1) 0.052
B1 8 (12.3) 3 (11.5) 5 (13.2) 0.583
B2 34 (52.3) 21 (80.8) 13 (34.2) < 0.001
D 13 (20.0) 1 (3.8) 12 (31.6) 0.006
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Although the E. coli collection studied was mainly composed of B2 (52.3%) and D (20%) phylotypes, significant differences were observed between the two categories of biofilm producers. As shown in Table 4, the B2 phylogroup was more frequent in moderate-strong biofilm forming strains (80.8% vs. 34.2%; P < 0.001), whereas A and D phylogroups were more frequent within weak biofilm producers.

Discussion

In this work, we describe the biofilm formation capacity of a recently described pathovar, adherent-invasive E. coli (AIEC), which is associated with Crohn's disease. The main result was that AIEC strains have stronger biofilm formation abilities than other E. coli strains isolated from the intestinal mucosa (non-AIEC). The latter share genotypic and phenotypic traits with AIEC [15] but lack the properties described for the pathovar: (i) adhesion to and invasion of intestinal epithelial cells in vitro, (ii) survival and replication capacity within macrophages without causing host-cell death, and (iii) induction of TNF-α release [11]. We also analyzed the relationship between biofilm formation, AIEC phenotype, serotype, and phylogroup, and the presence of virulence-associated genes.

As observed by other authors [22,23], motility was a crucial factor for biofilm formation because none of the nonmotile strains were able to form biofilms (Table 3). This observation was further supported by the experiments performed with the isogenic mutant LF82-ΔfliC. Moreover, all 14 strains with H1 flagellar antigen were moderate-strong biofilm producers, in contrast to 46.2% of motile non-H1 types. Therefore, H1 flagellar antigen conferred, either directly or indirectly, an advantageous trait to form biofilms. Although motility was a necessary requirement for biofilm formation, it was not sufficient; 21 out of 47 motile strains were weak biofilm producers, indicating that additional factors are needed. In addition, strains with O2, O6, O14, O18, O22, O25, O83, O159 and O166 serogroups were found amongst the biofilm producers, in accordance with previous studies [24,25]. Interestingly, the highest mean SBFs index was achieved by four strains that belonged to the O83 serogroup, in particular the O83:H1 serotype, being all the strains classified as strong biofilm producers. This group included two AIEC strains (AIEC reference strain LF82 [11], and the sepsis-associated strain PP16) and two non-AIEC strains (ECG-009 (isolated from two different CD patients) and ECG-043 (isolated from one non-IBD control) [15].

Some associations between biofilm-formation potential and some virulence-associated genes have been already described [24,26-32]. In agreement with previous studies [25], the adhesin-coding gene sfa/focDE was more frequently detected amongst biofilm producers. In addition, the gene ibeA, required for invasion in meningitis/sepsis-associated E. coli (MNEC) [33,34], was more prevalent amongst strong biofilm producers. Interestingly, ibeA, in conjunction with fimH and fimAvMT78, are virulence factors present in AIEC strain LF82 [16,35].

Phylogenetic analyses have shown that E. coli strains fall into four main phylogenetic groups (A, B1, B2, and D) and that virulent ExPEC strains mainly belong to group B2 and, to a lesser extent, group D, whereas most commensal strains belong to group A [33,36]. Although B2 was the most abundant phylotype within the E. coli collection, B2 phylotypes were significantly more prevalent amongst moderate-strong biofilm producers than weak biofilm producers (P < 0.001), which were enriched in A and D phylotypes (P = 0.052 and P = 0.006 respectively). Of note, B2+D phylotypes are also more prevalent amongst E. coli strains from patients with CD or ulcerative colitis than in non-IBD controls [37].

The positive correlation between the levels of adhesion and invasion and the higher SBF indices lead to postulate that the machinery implicated to achieve the "AIEC phenotype" could share some factors necessary for biofilm formation, such as type 1 pili and flagella. Another possibility is that both processes could be related to a coordinated expression, for instance, by the EnvZ/OmpR regulatory system. Rohlion et al [38] recently proposed a model in which OmpC, a porin regulated by EnvZ/OmpR, has been implicated in the adherence-invasiveness of AIEC, and this system is also known to play an important role in biofilm formation [39]. The biofilm formation could also be dependent on the cyclic di-GMP concentration which was recently reported to regulate the expression of type 1 pili and flagella in AIEC reference strain LF82 [40].

Biofilms in the human gut are thought to play an agonistic role with the host [18], being necessary to achieve an homeostatic situation and appropriate gut physiology. Nevertheless, previous studies have highlighted the increased biofilm formation in patients with CD with respect to control subjects [41]. Moreover, the composition of the mucosa-associated microbiota is altered with respect to that of non-IBD controls [42]. It is widely accepted that the intestinal microbiota is essential to elicit the inflammation; however, the specific role of intestinal biofilms in CD is still uncertain. Changes in the composition and abundance of mucosa-associated biofilms have been proposed either to play a role in the onset or perpetuation of CD [41,43-45] or to be a consequence of the defective immune regulation in CD patients [18,46,47]. Because we have analyzed the biofilm formation capacity of a collection of AIEC and non-AIEC strains using an in vitro method we can deduce that the ability of AIEC to form biofilms is irrespective of host factors. However, in vivo experiments would give interesting insights into the pathogenesis of AIEC in CD. Biofilm formation of AIEC in human gut, if confirmed, would confer to the pathovar an advantage for colonization of the intestine. Consequently, given the pathogenic behavior of AIEC, a more stable colonization would increase their probability of invading the intestinal epithelium and further trigger mucosal inflammation and, possibly, granuloma formation. In this sense, and speculatively, biofilm formation could contribute to AIEC pathogenesis.

Conclusion

A novel phenotypic trait of AIEC pathovar was described in this work. Biofilm production ability of AIEC strains could be an additional trait involved in their pathogenesis. Further investigations to detect AIEC specific genetic determinants involved in biofilm formation and to analyze the genetic regulatory processes are essential to fully understand AIEC pathogenesis and elucidate a possible role of AIEC in CD.

Methods

Bacterial strains

Amongst the collection of 65 E. coli strains, sixty-one (93.8%) were isolated from human intestinal mucosa in previous studies [15,48]. In particular, 35 strains (16 of them were AIEC) came from CD patients, one (which belonged to AIEC pathovar) came from a patient suffering from ulcerative colitis, and 25 (of which 6 were AIEC) came from non-IBD controls. Also included were four additional AIEC strains that came from patients with extraintestinal infection (two with sepsis and two with urinary tract infection [49,50]). AIEC reference strain LF82 and the isogenic mutant LF82-ΔfliC were used as controls. Relevant characteristics of the strains that were known prior to this study are compiled in Table 1.

All procedures were approved by the ethics committee of clinical investigation of the Hospital Josep Trueta of Girona in compliance with the Helsinki declaration.

Biofilm formation assay

Biofilm formation assays were performed using a previously described method [26] with some modifications [25]. Strains were grown overnight in Luria-Bertani broth with 5 g l-1 of glucose (Sigma-Aldrich, St. Louis, USA) at 35.5°C, then 1/100 dilutions were made in M63 minimal medium (US Biological, Swampscott, USA) supplemented with 8 g l-1 (0.8%) glucose. Then, 130-μl aliquots were placed in wells of non-cell-treated polystyrene microtiter plates (Greiner Bio-one, Stuttgart, Germany) and incubated overnight at 30°C without shaking. Afterwards, growth optical densities (OD) were read at 630 nm; then the wells were washed once, adhered bacteria were stained with 1% crystal violet solubilised in ethanol, and ODs read at 570 nm. Biofilm measurements were calculated using the formula SBF = (AB-CW)/G, in which SBF is the specific biofilm formation, AB is the OD570 nm of the attached and stained bacteria, CW is the OD570 nm of the stained control wells containing only bacteria-free medium (to eliminate unspecific or abiotic OD values), and G is the OD630 nm of cell growth in broth [51,52]. For each assay, 16 wells per strain were analyzed, and the assays were performed in triplicate, which resulted in a total of 48 wells per each tested strain and control. The degree of biofilm production was classified in three categories: weak (SBF ≤ 0.5), moderate (0.5 > SBF ≤ 1), and strong (SBF > 1).

Adhesion and invasion assays in epithelial cells Intestine-407

The epithelial cell line Intestine-407 was used for adhesion and invasion assays (ATCC accession number CCL-6™). Cell culture was performed as described previously [48]. To quantify adhesion and invasion properties, a gentamicin protection assay were performed as previously described [48]. Briefly, 24-well plates containing 4×105 cells/well incubated for 20 hours were infected at a multiplicity of infection of 10. Duplicated plates, for adhesion and invasion assays were incubated for 3 hours at 37°C. For bacterial adhesion assays, cell monolayers were washed 5 times with PBS and lysed with 1% Triton X-100. Adhered bacteria were quantified by plating them in nutrient agar. Plating was performed in a maximum period of 30 minutes to avoid bacterial lysis by Triton X-100. Adherence ability (I_ADH) was determined as the mean number of bacteria per cell. For bacterial invasion assays, monolayers were washed twice with PBS after 3 hours of infection, and fresh cell culture medium containing 100 μg ml-1 of gentamicin was added for 1 hour to kill extracellular bacteria. After cell lysis with 1% Triton X-100, the number of intracellular bacteria was also determined by plating. All assays were performed in triplicate. The invasive ability was expressed as the percentage of intracellular E. coli compared with the initial inoculum, taken as 100%: I_INV (%) = (intracellular bacteria/4×106 bacteria inoculated) × 100.

Survival and replication in macrophages J774

The macrophage-like J774A.1 cell line (ATCC accession number TIB-67™) was used as a model for E. coli survival and replication assays. Cell culture was performed as described previously [53]. E. coli isolates with known adherence and invasion properties were then checked for their capability to survive and replicate inside macrophages as previously described [11]. Macrophages were seeded at 2×105 cells per well in two 24-well plates and incubated for 20 hours. Once overnight medium was removed and fresh medium was added, bacteria were seeded at a multiplicity of infection of 10. Centrifugation at 900 rpm for 10 minutes, plus an additional incubation at 37°C for 10 minutes, was performed to assist the internalization of bacteria within macrophages. Non-phagocytosed bacteria were killed with gentamicin (20 μg ml-1), and intracellular bacteria were quantified as for invasion assays after 1 and 24 hours of infection. All assays were performed in triplicate. Results were expressed as the mean percentage of the number of bacteria recovered after 1 and 24 h post-infection compared with the initial inoculum, taken as 100%: I_REPL (%) = (cfu ml-1 at 24 h/cfu ml-1 at 1 h)× 100. Those strains with I_INV > 0.1 and I_REPL > 100% were classified as AIEC in this study.

Serotyping

Determination of O and H antigens was carried out using the method previously described by Guinée et al. [54]. Strains which failed to achieve motility on semisolid medium were considered nonmotile and designated H-.

Phylotyping and virulence genotyping by PCR

Determination of the major E. coli phylogenetic group (A, B1, B2, and D) was performed as previously described by Clermont et al [36].

Virulence gene carriage was analyzed as described elsewhere [25,55] using primers specific for 11 genes that encode extraintestinal virulence factors characteristic of ExPEC. These included six adhesins (pyelonephritis-associated pili (papC), S and F1C fimbriae (sfa/focDE), afimbrial Dr-binding adhesins (afa/draBC), type 1 fimbriae (fimH), and type 1 variant of avian pathogenic E. coli strain MT78 (fimAvMT78)); three toxins (hlyA, cnf1, and cdtB); and one aerobactin gene (iucD). They also included two protectin/invasion-encoding genes that corresponded to K1 kps variant (neuC) and brain microvascular endothelial cell invasion gene (ibeA). Specific genes for diarrhoeagenic E. coli pathovars were also screened (stx1, stx2, eae, bfpA, ipaH, pCDV432, eltA, and est).

Statistical analyses

Quantitative parameters, such as SBF, adhesion, and invasion indices were compared by one-way ANOVA. In cases for which the interaction between several factors was of interest, a factorial ANOVA was applied. Correlation between quantitative variables was assessed by Pearson correlation coefficient. Fisher's exact test (small contingency tables) or Pearson's X2 tests (frequencies higher than five within cells) were used to measure the significance of frequency values.

Authors' contributions

MMM performed the adhesion and invasion assays, intra-macrophage survival and replication assays, statistical analyses, and drafted the manuscript. PN and CP performed the biofilm formation assays. PN also participated in drafting the manuscript. JB, JEB and MB carried out the serotyping and virulence genotyping. XA contributed by giving a medical point of view to the discussion of results. JB, FS, ADM, and JGG were involved in the design and coordination of the study, participated in the revision of the manuscript, and gave final approval of the version to be published. All authors read and approved the final version.

Contributor Information

Margarita Martinez-Medina, Email: marga.martinez@udg.edu.

Plínio Naves, Email: plinionaves@gmail.com.

Jorge Blanco, Email: jorge.blanco@usc.es.

Xavier Aldeguer, Email: doctoraldeguer@yahoo.es.

Jesus E Blanco, Email: jeba@lugo.usc.es.

Miguel Blanco, Email: mba@lugo.usc.es.

Carmen Ponte, Email: MCponte@fjd.es.

Francisco Soriano, Email: FSoriano@fjd.es.

Arlette Darfeuille-Michaud, Email: arlette.darfeuille-michaud@u-clermont1.fr.

L Jesus Garcia-Gil, Email: jesus.garcia@udg.edu.

Acknowledgements

This work was partially supported by the Spanish Ministry of Education and Science (SAF2006-00414), the Spanish Ministry of Health and Consumer Affairs (REIPI RD06/0008-1018 and FIS PI060059), the Autonomous Government of Galicia (Xunta de Galicia, 2007/000044-0, PGIDIT065TAL26101PR, 07MRU036261PR), and the European Union (Program Alban, E05D055472BR). We gratefully thank Dr. Miguel Clavero (University of Girona) for statistical advice.

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