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Applied and Environmental Microbiology, July 2008, p. 4491-4497, Vol. 74, No. 14
0099-2240/08/$08.00+0 doi:10.1128/AEM.00255-08
Copyright © 2008, American Society for Microbiology. All Rights Reserved.
Listeria monocytogenes EGD-e Biofilms: No Mushrooms but a Network of Knitted Chains
Aurélie Rieu,4
Romain Briandet,3
Olivier Habimana,3
Dominique Garmyn,1,2
Jean Guzzo,4 and
Pascal Piveteau1,2*
Université de Bourgogne, UMR 1229, F-21000 Dijon, France,1
INRA, UMR 1229, F-21000 Dijon, France,2
UMR 763, Unité Mixte de Recherche en Bioadhesion et Hygiène des Matériaux, INRA-AgroParisTech, F-91300 Massy, France,3
Laboratoire de Recherche En Vigne et Vin, Université de Bourgogne, IUVV, F-21000 Dijon, France4
Received 29 January 2008/
Accepted 13 May 2008

ABSTRACT
Listeria monocytogenes is a food pathogen that can attach on
most of the surfaces encountered in the food industry. Biofilms
are three-dimensional microbial structures that facilitate the
persistence of pathogens on surfaces, their resistance toward
antimicrobials, and the final contamination of processed goods.
So far, little is known about the structural dynamics of
L. monocytogenes biofilm formation and its regulation. The aims
of this study were, by combining genetics and time-lapse laser-scanning
confocal microscopy (LSCM), (i) to characterize the structural
dynamics of
L. monocytogenes EGD-e sessile growth in two nutritional
environments (with or without a nutrient flow), and (ii) to
evaluate the possible role of the
L. monocytogenes agr system
during biofilm formation by tracking the spatiotemporal fluorescence
expression of a green fluorescent protein (GFP) reporter system.
In the absence of nutrient flow (static conditions), unstructured
biofilms composed of a few layers of cells that covered the
substratum were observed. In contrast, when grown under dynamic
conditions,
L. monocytogenes EGD-e biofilms were highly organized.
Indeed, ball-shaped microcolonies were surrounded by a network
of knitted chains. The spatiotemporal tracking of fluorescence
emitted by the GFP reporter system revealed that
agr expression
was barely detectable under static conditions, but it progressively
increased during 40 h under dynamic conditions. Moreover, spatial
analysis revealed that
agr was expressed preferentially in cells
located outside the microcolonies. Finally, the in-frame deletion
of
agrA, which encodes a transcriptional regulator, resulted
in a decrease in initial adherence without affecting the subsequent
biofilm development.

INTRODUCTION
Biofilms are communities of microorganisms attached to a surface
(
44). Several steps can be identified during biofilm development.
After an initial step of reversible, then irreversible, adherence,
bacteria grow as microcolonies and spread on the surface; also,
biofilms develop as complex, three-dimensional (3D) structures
during the maturation step (
17). The microorganisms undergo
profound changes during their transition from planktonic cells
(free-floating organisms) to cells that are part of a complex,
surface-attached community (sessile organisms) (
44), and cells
develop an increased resistance to antimicrobial agents (
34,
38,
64). For this reason, the removal of established biofilms
requires harsh treatments, with most using oxidizing biocides
(
18,
20,
25,
54). The presence of biofilms raises safety issues
in the food industry, especially when biofilms are located on
food-processing surfaces and pipelines that are unreachable
by washing agents (
8). Clearly, biofilms can become a health
hazard by harboring pathogenic bacteria such as
Listeria monocytogenes (
4). Moreover,
L. monocytogenes is capable of attaching and
developing biofilms on a variety of surfaces, such as stainless
steel, polymers, and rubber gaskets (
2,
3,
13,
36,
40).
L. monocytogenes is a gram-positive human pathogen that is responsible for serious
infections among immunocompromised individuals and pregnant
women (
19).
Several systems to study biofilms have been used to identify and characterize the bacterial elements and genetic determinants involved in biofilm development. For instance, plate counting has been used to quantify sessile cells of L. monocytogenes on abiotic surfaces (1, 5-7, 10, 12, 13, 32, 43, 47, 52, 53). Also, biofilms of L. monocytogenes have been quantified by using the microplate adhesion method (3, 11, 23, 33, 48), while their structures have been investigated by scanning electron microscopy (SEM) (3, 12, 13, 28, 32, 39, 49), epifluorescence microscopy (9, 24, 28, 36, 37, 41, 46), or laser-scanning confocal microscopy (LSCM) (10, 31, 51). LSCM has allowed the visualization of fully hydrated samples and has revealed the elaborate 3D structure of biofilms (14). The generally accepted structure of Pseudomonas aeruginosa biofilm is composed of mushroom-shaped microcolonies, in which cells are embedded in an exopolymeric cement and the microcolonies are separated by channels and voids (29, 58). Reports concerning the structure of L. monocytogenes biofilm are available. Few studies have used LSCM to investigate the structure of L. monocytogenes biofilm (10, 31, 51).
Biofilm development and maturation requires complex cellular mechanisms in which cell-cell communication is involved. Among these, the agr system plays a role during the biofilm development of Staphylococcus aureus (61, 65), Enterococcus faecalis (22), and Lactobacillus plantarum (57) and during the early stages of the biofilm formation of L. monocytogenes (48). Indeed, the deletion of the gene coding for the response regulator AgrA impaired the ability of L. monocytogenes EGD-e to adhere to abiotic surfaces (48).
To characterize the biofilm development of L. monocytogenes, several models of growth, media, and bacterial strains from the literature were used, and the influence of several environmental parameters were assessed. For example, the temperature of incubation affects L. monocytogenes biofilm growth (7, 52, 53). In the present study, we investigated the kinetics of L. monocytogenes EGD-e development in biofilms by LSCM under two different environmental conditions; i.e., static and flowing systems. Second, we determined the agr expression in situ during biofilm development by using the green fluorescent protein (GFP) reporter.

MATERIALS AND METHODS
Bacterial strains, plasmids, and culture conditions.
The bacterial strains and plasmids used in this study and their
characteristics are shown in Table
1.
L. monocytogenes was cultivated
in tryptic soy broth (TSB; Biokar Diagnostics, Pantin, France)
at 25°C for biofilm and planktonic cultures and in brain
heart infusion broth (BHI; Biokar Diagnostics) at 40°C for
strain construction.
Escherichia coli TOP10 (Invitrogen, Cergy
Pontoise, France) cells were grown aerobically in Luria-Bertani
broth (Biokar Diagnostics) at 37°C. When appropriate, antibiotics
(Sigma, St. Quentin Fallavier, France) were added as follows:
kanamycin, 50 µg·ml
–1 (for
E. coli); ampicillin,
200 µg·ml
–1 (for
E. coli); chloramphenicol,
10 µg·ml
–1 or 7.5 µg·ml
–1 (for
L. monocytogenes) (Table
1).
Strain and plasmid construction.
The reporter plasmid pGID128 contains a fusion of the
agr promoter
region (located 690 bp upstream of the start codon) with
gfp,
the gene coding for GFP. First, the
agr promoter region was
amplified by PCR with primers AGRB5 and AGRB6 (Invitrogen) (Table
1) and
Taq DNA polymerase (Q-Biogene, MP Biomedicals, Illkirch,
France) using
L. monocytogenes EGD-e genomic DNA as a template.
This PCR product was cloned into the pCRII-TOPO vector (Invitrogen)
to obtain pGID113, and this vector was transferred into chemically
competent
E. coli TOP10 cells as recommended by the manufacturer
(Invitrogen). Second, plasmid pGID113 was digested with HindIII/XbaI
(Invitrogen), and the resulting 617-bp fragment containing the
promoter region of the
agr operon (P
agr) was ligated into pGF-EM
(
35) that had been restricted with HindIII/XbaI (Invitrogen)
to obtain pGID120. Third, this pGID120 plasmid was digested
with XbaI/NheI (Invitrogen) to obtain pGID128. The strains EGD-e
and DG125A (
agrA) (
48) were transformed by pGID128, and the
transformants were selected on BHI agar plates (Biokar diagnostics)
containing 10 µg·ml
–1 chloramphenicol. These
strains were named AR009 and AR011 (
agrA), respectively, and
harbored plasmid pGID128 in the integrative form.
Biofilm growth conditions. (i) Static biofilm experiments.
AISI 304 stainless steel chips (25 by 25 by 1 mm; Goodfellow SARL, Lille, France) were inserted in separate 55-mm-diameter petri dishes (Dominique Dutscher S.A., Brumath, France) that contained 8 ml of TSB. Chloramphenicol (7.5 µg·ml–1) was added to the growth medium to ensure the stable carriage of plasmid pGID128. An overnight culture of strains AR009 and AR011 (
agrA) in TSB at 25°C was used to inoculate (1/100, vol/vol) TSB in petri dishes, which were incubated at 25°C. The medium was removed after 2 h, and then every 24 h fresh TSB (8 ml) was added. Cell adhesion and biofilm development were evaluated by microscopic observations after 2, 24, and 48 h at 25°C. Following incubation, the medium was removed and 8 ml of saline solution (150 mM NaCl) was gently poured onto the chips to remove loosely adhering bacteria. Sessile cells were stained with a 0.01% SYTO61 (Molecular Probes, Invitrogen) solution. This stain penetrates and stains nucleic acids in both live and dead cells. Three independent experiments were performed.
(ii) Flow-cell biofilm experiments.
Biofilms were cultivated in flow cell BST FC 81 (Biosurface Technologies Corporation, Bozeman, MT), with channel dimensions of 1.6 by 12.7 by 47.5 mm. The flow cells are small continuous-flow systems with a glass viewing port that allows the direct observation of the biofilms without disrupting the community. Flow chambers were inoculated with overnight cultures of the AR009 and AR011 (
agrA) strains in TSB medium (1/100, vol/vol). After inoculation, the medium flow was stopped for 1 h to allow bacterial adhesion, and thereafter the medium was pumped through the flow cells at 10 ml/h by using a peristaltic pump (model 205S; Watson Marlow, Falmouth, England, United Kingdom). Flow-cell biofilms were stained with the nucleic acid stain SYTO61 (http://probes.invitrogen.com/lit/catalog/3/sections/2426.html) after 16, 24, and 40 h of incubation at 25°C before microscopic observations. Two independent experiments with two replicates each were made.
LSCM and image processing.
Image acquisition was performed on a Leica TCS SP2 AOBS (Leica Microsystems, France) laser-scanning confocal laser microscope on the MIMA2 microscopic platform (http://voxel.jouy.inra.fr/mima2). LSCM allowed the simultaneous 3D monitoring of GFP and SYTO61 dyes. The excitation wavelength used for GFP was 488 nm, and the emitted fluorescence was collected in the range of 500 to 600 nm. The red fluorescent nucleic acid stain SYTO61 was excited at 633 nm, and the emitted fluorescence was collected in the range of 650 to 700 nm. Images were collected through a x63 Leica oil immersion objective (numeric aperture, 1.4). Simulated 3D fluorescence projections and vertical cross-sections through the biofilms were generated using the LSCM 3D package of the Leica SP2 software. The number of sessile cells and the percentage of cells expressing GFP were quantified with light emission intensity using PHLIP and the Matlab toolbox developed by Joao Xavier (www.phlip.org). This software was used to evaluate biofilm structural parameters (biovolume and thickness). For each experiment, five microscopic fields, chosen haphazardly, were analyzed.
The fluorescence loss in photobleaching (FLIP) of intracytoplasmic GFP was used to evaluate if the chains were single elongated cells or separate short rods (59). A fluorescent L. monocytogenes chain was repeatedly photobleached for
60 s within a small region while the whole chain was continuously imaged. Any connected cell in the area of the chain being bleached gradually loses fluorescence due to the lateral movement of mobile GFP into this area. By contrast, the fluorescence in unconnected cells is not affected.
Statistical analysis.
A one-way analysis of variance was performed using the SigmaStat, version 3.0.1, software (SPSS Inc.) in order to test the significance of the differences in biovolume or the thickness of biofilms. When the result of the one-way analysis of variance was significant, the Holm-Sidak test (P < 0.05) was used to locate significant differences.

RESULTS
A network of knitted chains of L. monocytogenes EGD-e were observed only under flow conditions.
The sessile growth of
L. monocytogenes AR009 was monitored under
static and flowing conditions using LSCM. Under static conditions,
after 2 h of contact with the surface, a few cells were scattered
on the surface (Fig.
1A). After 24 h of growth, most of the
surface was covered by a monolayer of cells (Fig.
1A). After
48 h of incubation, several layers of cells covered the surface
as a uniform biofilm. The 3D reconstruction of the LSCM image
stacks confirmed these results of a uniform biofilm that can
be described as unorganized multicellular layers of cells covering
the surface (Fig.
1A). The structure of the biofilm grown under
flowing conditions was different. In fact, after the initial
adhesion of
L. monocytogenes AR009 as single cells, the biofilm
developed as a complex structure in which dense, ball-shaped
microcolonies separated by poorly colonized zones were observed
(16 h) (Fig.
1B). These structures were thicker after 24 and
40 h of incubation (Fig.
1B). Observations under a stronger
magnification and 3D analysis evidenced that these microcolonies
were surrounded by a network of knitted chains (Fig.
1 and C).
Surprisingly, the morphology of
L. monocytogenes was affected
by the environmental growth conditions; while short rods typical
of
L. monocytogenes morphology were seen under static conditions
(Fig.
1A), long chains formed the network of knitted chains
under dynamic conditions (Fig.
1B and C). FLIP results confirmed
by photobleaching that these structures were chains of short
rods and not elongated filamentous cells (Fig.
2). These results
pointed to a distinct structure of biofilm that was composed
of a network of knitted chains when
L. monocytogenes was grown
under flow conditions.
The influence of the hydrodynamic conditions on the structure
of the biofilm also was observed using two structural parameters:
biofilm volume (Fig.
3A) and thickness (Fig.
3B). Indeed, the
biofilm's volume increased during incubation irrespective of
the hydrodynamic conditions. Under dynamic conditions, a significant
increase (
P < 0.05) was observed 24 h after the beginning
of the experiment, but the differences were no longer significant
after that time. Under static conditions, the increase was significant
(
P < 0.05) at 48 h (Fig.
3A). Interestingly, under dynamic
conditions, the biofilm's volume was significantly higher than
the volume that was calculated under static conditions from
24 to 48 h (
P < 0.05) (Fig.
3A). On the other hand, biofilm
thickness increased during growth under dynamic conditions (
P < 0.05), but the differences were not significant under static
conditions (Fig.
3B). Furthermore, under dynamic conditions,
the biofilm's thickness was significantly increased (
P <
0.05) after 16, 24, and 40 h of sessile growth (Fig.
3B).
agr expression in L. monocytogenes biofilms.
We have recently demonstrated that the
agr system is involved
in the onset of
L. monocytogenes biofilm (
48). In order to investigate
the expression of the
agr genes, we used GFP as a reporter.
Strain AR009 harbors the reporter plasmid pGID128, in which
the promoter region required for
agr-dependent expression is
fused to the
gfp gene. Under static conditions, irrespective
of the length of incubation (2, 24, or 48 h), only a few cells
expressing GFP were detected (no more than 1% of the total number
of cells expressing
agr after 48 h) (Fig.
1A). In contrast,
during the 40 h of incubation in flowing conditions,
agr expression
increased progressively over time. Indeed, the percentages of
cells expressing
agr were, respectively, 15, 50, 76, and 80%
of the total number of cells after 1, 16, 24, and 40 h of growth
(Fig.
1B). Most of the GFP fluorescence was observed within
the network of knitted chains surrounding the ball-shaped microcolonies,
whereas bacteria inside the microcolonies showed very little
GFP fluorescence (Fig.
1C).
The agr system in biofilm development of L. monocytogenes.
The role of the agr system during biofilm development in flow cells was examined by comparing the behavior of strain AR011, an agrA in-frame deletion mutant, to the behavior of AR009. The deletion of agrA, the gene coding for the response regulator AgrA, affected the adhesion of L. monocytogenes to the surface, as previously described (48) (Fig. 4). The number of adhered cells of strain AR011 (
agrA) was 3.5-fold lower. However, after 16 h of incubation, the differences between the sessile growth of AR009 and AR011 were not significant (Fig. 4). Moreover, a similar network of knitted chains was observed irrespective of the strain examined. These results confirmed the involvement of the agr system during the adhesion of L. monocytogenes but probably not during the later stages of biofilm development.

DISCUSSION
The dynamics of
L. monocytogenes biofilm formation and its regulation
still is mostly unknown. The literature related to the biofilm
structures of
L. monocytogenes deals with, in most cases, static
experiments using SEM (
3,
12,
13,
28,
32,
39,
49). LSCM is a
powerful in situ visualization tool for the temporal study of
the 3D structures of biofilms (
27,
29,
30,
45,
55,
58) and has
been used to study the biofilm structure of a variety of microorganisms,
such as
Pseudomonas aeruginosa and
S. aureus (
26,
29). Other
studies often mention that the structure of microbial biofilms
can vary in response to environmental conditions such as nutrient
limitation, flow rate, shear, and pressure (
56,
63). In this
study, we used LSCM to characterize and compare
L. monocytogenes biofilms grown under two environmental conditions (growth medium
flow or no flow) and to investigate
agr-dependent gene expression
in
L. monocytogenes biofilms.
Significantly greater biofilm volume and thickness were observed under flowing conditions than under static conditions. Our observations of the biofilm under static conditions showed unorganized 3D structures that were similar to those observed previously (3, 12, 13). In contrast, for the biofilm under flow conditions we described another organization of L. monocytogenes EGD-e biofilms that consisted of a network of knitted chains that could structure the microcolonies. The mature biofilms of many species, such as P. aeruginosa, that are grown in flow cells display structures that have been described as mushroom-like, with a cohesive polymeric matrix interconnected between water channels (29). These studies indicated that surface-associated motility and biosurfactant production both affect the structure of P. aeruginosa biofilms (30, 45). In this study, the newly identified structure that we observed in L. monocytogenes EGD-e biofilms could contribute to the 3D structure by interconnecting the ball-shaped microcolonies.
To examine the role of the L. monocytogenes agr system during biofilm development and its possible role in the biofilm structure observed in flowing conditions, an agr fusion to a GFP reporter was generated. Using LSCM, this construction allowed us to determine both temporal and spatial gene expression patterns throughout biofilm formation. Our findings revealed that agr gene expression increased progressively over the incubation period. In terms of spatial expression throughout the stratified biofilm, the agr gene activity of L. monocytogenes was maximal in cells outside ball-shaped microcolonies. It is intriguing that although the in-frame deletion of agrA, which encodes a transcriptional regulator, affected adhesion, no differences were observed after the first step of biofilm development or in biofilm structure (48). agr-dependent regulation may be transitory; it may suggest that following adhesion, L. monocytogenes undergoes profound gene expression alterations during sessile growth, as has been proposed for other microorganisms (21, 24, 60, 62). In the orthologous agr system of S. aureus, the expression of agr was patched within cell clusters and oscillated with time (65). Moreover, the role of the agr system during S. aureus development depends on the hydrodynamic conditions of the experimental setup; under static conditions, the disruption of agr expression enhanced biofilm formation (61, 65), while under dynamic conditions it had no influence on biofilm formation (65). In P. aeruginosa, las and rhl, two systems of cell-to-cell signaling, control biofilm formation; the las system is involved in early biofilm development, whereas the rhl system is implicated in the maturation of the biofilm (15, 50). De Kievit et al. (16), demonstrated by spatial analysis that lasI and rhlI were maximally expressed in cells located at the substratum and that expression decreased with increasing biofilm height. These authors suggested that the increased accumulation of autoinducers at the substratum resulted in the expression of both of these systems. For L. monocytogenes, it is proposed that cells were not enclosed in a matrix and the autoinducers could diffuse away from the cells.
In conclusion, our work has yielded a better understanding of L. monocytogenes EGD-e biofilm formation. Our data described, for the first time, the existence of a new structure that consists of a network of knitted chains during the growth of L. monocytogenes EGD-e in a flowthrough system. We demonstrate that the model used to grow L. monocytogenes biofilms (dynamic flow-cell and static models) deeply affects their structure and the spatiotemporal patterns of gene expression. The agr-dependent expression of L. monocytogenes in biofilm differed from that of an S. aureus orthologous system previously described. Deciphering the mechanisms involved in the development of the network of knitted chains that could structure the sessile growth of L. monocytogenes EGD-e is an exciting prospect and will contribute to our better understanding of the ecology of this pathogen.

ACKNOWLEDGMENTS
This work was supported by the Ministère de l'Education
Nationale de la Recherche et de la Technologie, the Institut
National de la Recherche Agronomique, the Université
de Bourgogne, and the PRA
Listeria program. We thank the local
government of the Département de Essonnes for the financial
support for a laser-scanning confocal microscope (ASTRE no.
A02137).
We thank S. Kathariou for providing the pGF-EM vector.

FOOTNOTES
* Corresponding author. Mailing address: Laboratoire de Microbiologie du Sol et de l'Environnement UMR UB/INRA 1229, 17 Rue de Sully, BP86510, F-21065 Dijon, France. Phone: 33 3 80 69 34 32. Fax: 33 3 80 69 32 24. E-mail:
piveteau{at}u-bourgogne.fr 
Published ahead of print on 23 May 2008. 

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Applied and Environmental Microbiology, July 2008, p. 4491-4497, Vol. 74, No. 14
0099-2240/08/$08.00+0 doi:10.1128/AEM.00255-08
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