Rebecca van der Westen1, Jelmer Sjollema1, Robert Molenaar2, Prashant K Sharma1, Henny C van der Mei1, Henk J Busscher1. 1. University of Groningen , University Medical Center Groningen, Department of Biomedical Engineering , Antonius Deusinglaan-1 , 9713AV Groningen , The Netherlands. 2. Nanobiophysics group, Department of Science and Technology , University of Twente , P.O box 217, 7500AE Enschede , The Netherlands.
Abstract
Models for bacterial adhesion to substratum surfaces all include uncertainty with respect to the (ir)reversibility of adhesion. In a model, based on vibrations exhibited by adhering bacteria parallel to a surface, adhesion was described as a result of reversible binding of multiple bacterial tethers that detach from and successively reattach to a surface, eventually making bacterial adhesion irreversible. Here, we use total internal reflection microscopy to determine whether adhering bacteria also exhibit variations over time in their perpendicular distance above surfaces. Streptococci with fibrillar surface tethers showed perpendicular vibrations with amplitudes of around 5 nm, regardless of surface hydrophobicity. Adhering, nonfibrillated streptococci vibrated with amplitudes around 20 nm above a hydrophobic surface. Amplitudes did not depend on ionic strength for either strain. Calculations of bacterial energies from their distances above the surfaces using the Boltzman equation showed that bacteria with fibrillar tethers vibrated as a harmonic oscillator. The energy of bacteria without fibrillar tethers varied with distance in a comparable fashion as the DLVO (Derjaguin, Landau, Verwey, and Overbeek)-interaction energy. Distance variations above the surface over time of bacteria with fibrillar tethers are suggested to be governed by the harmonic oscillations, allowed by elasticity of the tethers, piercing through the potential energy barrier. Bacteria without fibrillar tethers "float" above a surface in the secondary energy minimum, with their perpendicular displacement restricted by their thermal energy and the width of the secondary minimum. The distinction between "tether-coupled" and "floating" adhesion is new, and may have implications for bacterial detachment strategies.
Models for bacterial adhesion to substratum surfaces all include uncertainty with respect to the (ir)reversibility of adhesion. In a model, based on vibrations exhibited by adhering bacteria parallel to a surface, adhesion was described as a result of reversible binding of multiple bacterial tethers that detach from and successively reattach to a surface, eventually making bacterial adhesion irreversible. Here, we use total internal reflection microscopy to determine whether adhering bacteria also exhibit variations over time in their perpendicular distance above surfaces. Streptococci with fibrillar surface tethers showed perpendicular vibrations with amplitudes of around 5 nm, regardless of surface hydrophobicity. Adhering, nonfibrillated streptococci vibrated with amplitudes around 20 nm above a hydrophobic surface. Amplitudes did not depend on ionic strength for either strain. Calculations of bacterial energies from their distances above the surfaces using the Boltzman equation showed that bacteria with fibrillar tethers vibrated as a harmonic oscillator. The energy of bacteria without fibrillar tethers varied with distance in a comparable fashion as the DLVO (Derjaguin, Landau, Verwey, and Overbeek)-interaction energy. Distance variations above the surface over time of bacteria with fibrillar tethers are suggested to be governed by the harmonic oscillations, allowed by elasticity of the tethers, piercing through the potential energy barrier. Bacteria without fibrillar tethers "float" above a surface in the secondary energy minimum, with their perpendicular displacement restricted by their thermal energy and the width of the secondary minimum. The distinction between "tether-coupled" and "floating" adhesion is new, and may have implications for bacterial detachment strategies.
Bacterial adhesion
occurs to many different surfaces in a wide
variety of environments, and is either desirable such as in many bioreactor
systems, soil remediation or to intestinal surfaces in the human body
or is, among others, the cause of severe infections, food spoilage
or microbially induced corrosion.[1] Accordingly,
there is an ongoing quest to model bacterial adhesion. This quest
is on the one hand led by biochemists trying to discover more and
more specific ligand–receptor systems facilitating bacterial
adhesion to surfaces, while on the other hand physico-chemists attempt
to design generally valid models that explain and predict adhesion
of bacteria to surfaces by treating living organisms as (bio)colloidal
particles.[2,3]The two most common physicochemical
approaches used to model bacterial
adhesion are surface thermodynamic[4,5] and (extended)
DLVO (Derjaguin, Landau, Verwey and Overbeek)-types of analyses.[6,7] Application of surface thermodynamics involves the measurement of
contact angles with different liquids, followed by calculation and
comparison of the free energies of the substratum and bacterial cell
surfaces to yield an interfacial free energy of adhesion. Negative
values for the interfacial free energy of adhesion are assumed to
be predictive for bacterial adhesion to occur, but this has never
become a generally valid observation, possibly because the surface
thermodynamic requirement of reversibility is seldom or never met
and the interface between a bacterium and a substratum surface is
a dynamic one, changing over time.[8,9] DLVO-types
of analyses calculate the interaction energy between a (bio)colloidal
particle and a substratum surface as a function of distance between
the particle and the substratum surface. Under most relevant conditions,
electrostatic interactions in bacterial adhesion are repulsive, that
together with attractive Lifshitz–van der Waals forces yield
a secondary interaction minimum at a distance of around 20–50
nm[10] from the substratum surface, a potential
energy barrier that impedes close approach and a deep primary minimum
close to the surface that can only be reached once a particle has
overcome the potential energy barrier. Also DLVO-type approaches have
never acquired a general validity across different bacterial strains
and species. An important reason for this is that bacterial cell surfaces
can possess a wide variety of surface appendages of different length,
width, composition and surface density that have been suggested to
be able to pierce the potential energy barrier and tether a bacterium
to a surface. Moreover, possession of tethers with lengths that may
range up to several micrometers[9] makes
it impossible to adequately define the interaction distance in DLVO-type
analyses of bacterial adhesion as it creates a multiscale roughness
on the bacterial cell surface.[11] Several
of the troublesome issues involved in the application of surface thermodynamic
and DLVO-types of analyses of bacterial adhesion have been addressed
in a new model of bacterial adhesion describing irreversible adhesion
of bacteria as a result of the reversible binding of multiple tethers
that detach from and successively reattach to a surface, resulting
in irreversible adhesion of an organism as a whole.[9] The model puts bacterial adhesion a par with the irreversible
adsorption of high-molecular-weight proteins to surfaces, mediated
by multiple, reversibly binding molecular segments and was confirmed
by in silico modeling of the key-observations underlying the model:
(1) force–distance curves in single probe bacterial atomic
force microscopy showing detachment events indicative of multiple
binding tethers, (2) nanoscopic displacements of bacteria with relatively
long autocorrelation times up to several seconds, in the absence of
macroscopic displacement, (3) nanoscopic vibrational amplitudes of
adhering bacteria parallel to a surface decreasing with increasing
adhesion-forces, and (4) increases in mean-squared-displacements over
prolonged time periods according to tα with 0 < α ≪ 1, indicative of confined displacement.[9]The role of adhesion forces acting perpendicular
to a substratum
surface may seem puzzling in a model that is based on parallel displacements
of adhering bacteria over the surface. However, in silico modeling
suggested that tether adhesion forces merely dictate the frequency
with which individual tethers detach. This leaves the question open
as to whether the distance of an adhering bacterium above a substratum
surface also varies over time, similar as its position on a substratum
surface, and whether tether-binding plays a role here too.In
order to answer this question, this paper aims to determine
whether adhering bacteria exhibit variations over time in their distance
perpendicular to substratum surfaces and, if so, whether these variations
differ for two streptococcal strains with and without 91 nm long fibrillar,
tethers. Total internal reflection microscopy (TIRM)[12−14] will be used to determine the variations in distance above different
substratum surfaces over time, employing hydrophobic and hydrophilic
glass surfaces as substrata. Distance variations will be related with
the shape and width of the secondary interaction minimum and its distance
from the substratum surface in a DLVO-type of analysis.
Experimental Section
Bacterial Strains, Culture Conditions, and
Harvesting
Streptococcus salivarius HB7,
possessing 91 nm long
fibrillar tethers and its isogenic mutant HBC12, considered bald without
demonstrable surface tethers,[15] were employed
in this study (see Figure ). Both S. salivarius strains are negatively
charged, yet differ in surface hydrophobicity with S. salivarius HBC12, being slightly more hydrophilic than S. salivarius HB7.[16] Both S. salivarius strains were precultured in 10 mL of Todd Hewitt Broth (THB, OXOID,
Basingstoke, UK), under static conditions. Precultures were grown
for 24 h at 37 °C. After 24 h, precultures were inoculated into
200 mL of THB, and maintained under identical conditions for another
16 h. Streptococci were harvested by centrifugation at 5000g for 5 min at 10 °C, subsequently washed three times
in 100 mL of adhesion buffer having an ionic strength of 57 mM (50
mM potassium chloride, 2 mM potassium phosphate, and 1 mM calcium
chloride, pH 6.8) or ionic strength of 0.57 mM (10 times diluted adhesion
buffer). Following this, bacteria were sonicated on ice three times
for 10 s at 30 W (Vibra Cell model 375; Sonics and Materials Inc.,
Danbury, CT) to break bacterial chains and obtain single bacteria.
Finally, bacteria were resuspended in adhesion buffer to a final concentration
of 3 × 108 bacteria/mL, as determined using a Bürker–Türk
counting chamber.
Figure 1
Transmission electron micrographs of negatively stained
(1% methylamine
tungstate) sections of S. salivarius HB7 (a) and S. salivarius HBC12 (b). The bar denotes 100 nm. Adapted
from Van der Mei et al. with permission from the publisher, Springer
Nature.[15]
Transmission electron micrographs of negatively stained
(1% methylamine
tungstate) sections of S. salivarius HB7 (a) and S. salivarius HBC12 (b). The bar denotes 100 nm. Adapted
from Van der Mei et al. with permission from the publisher, Springer
Nature.[15]
Preparation of Substratum Surfaces
Glass microscope
slides (15 mm × 15 mm; Thermo Scientific, 38116 Braunschweig,
Germany) were used as substrata. Prior to each experiment, glass surfaces
were cleaned by 10 min sonication at 100 W (Bransonic 2510E, Danbury,
USA) in 2% Hellmanex (Hellma GmbH & CO., Müllheim, Germany),
99% ethanol and finally in ultrapure water (specific resistance >18
MΩ cm). Next, glass surfaces were treated with UV/ozone, yielding
a hydrophilic surface while for the preparation of hydrophobic surfaces,
glass slides were thoroughly dried after water-washing in an oven
at 80 °C, followed by silanization in 0.05% (w/v) dimethyldichlorosilane
(DDS Sigma-Aldrich) in 99% ethanol for approximately 15 min.
Total
Internal Reflection Microscopy
Adhesion of streptococci
onto uncoated and DDS-coated glass surfaces was established from adhesion
buffer (0.57 mM or 57 mM) at room temperature. To this end, a streptococcal
suspension was introduced into the circularly shaped flow chamber
(14 mm diameter and 0.35 mm in height) of the instrument using a peristaltic
pump at a flow rate of 300 μL/min during 60 min. Next the chamber
was perfused with buffer, after which TIRM light scattering was measured.
TIRM was performed on an objective-based total internal reflection
fluorescence (TIRF) microscope (Nikon, Eclipse Ti with TIRF module,
Tokyo, Japan), equipped with a high numerical aperture objective (Olympus,
PLANO-APO 100×, 1.45, Tokyo, Japan) illuminated by a 488 nm laser
(Melles Griot, Dynamic Laser, Salt Lake City, UT) laterally focused
on the back focal plane. To avoid overexposure by the reflected laser
beam, a spatial filter was employed to block the reflected beam in
the back focal plane without image interference. The filter cube contained
only a 488 dichroic mirror. Scattering light was captured on an electron
multiplying, charge-coupled device camera (Andor, ixon DU-885BV Andor,
Dublin, Ireland). Image size was cropped to 512 × 512 pixel resolutions
to achieve a frame rate of 33 frames/s over 2000 frames. Prior to
each experiment, the TIRM angle was verified with an out-coupling
prism to an external reference. Light scattered by adhering bacteria
was observed as two diffraction limited spots, separated by the bacterial
diameter, recognized as a comet-orbit shape.[17]For each adhering single bacterium, the relative z-displacement, z, at time t with respect to the closest distance encountered, was calculated
according towith I the intensity
of the scattered light in the evanescent field
at time t, Imax the maximum
intensity belonging to the distance of closest bacterial approach
and dp the penetration depth of the evanescent
wave (185 nm). Absolute distances could not be obtained, because the
evanescent wave intensity was not constant over the entire field of
view. As a result the maximum intensity Imax was different for each bacterium over the field of view. The vibrational
amplitude Δz was calculated as the standard
deviation of all z-displacements
over the experimental time. All TIRM experiments were carried out
in triplicates on uncoated and DDS-coated glass surfaces using different
bacterial cultures for each experiment.
Contact Angle Measurements
Contact angles were measured
on the uncoated and DDS-coated glass surfaces with water, formamide,
and methyleneiodide. Three 0.5 μL droplets of each liquid were
randomly positioned on one microscope slide, employing three slides
for one series of measurements with each of the above three liquids.
Images of the droplets were recorded by a camera about 5 s after placing
a droplet on a coverslips surface and the droplet contour digitized
after gray-value thresholding, after which contact angles were calculated
from the digitized contours using homemade software. Contact angles
on bacteria were measured by preparing macroscopic bacterial lawns
on membrane filters. Bacterial lawns were made by suspending bacteria
to a concentration of 3 × 108 mL–1 in water, followed by deposition on a cellulose acetate membrane
filter (pore diameter 0.45 μm) placed on a fritted glass support
by filtration of the suspension. At least three separate filters,
from three different cultures were used for each bacterial strain
tested. Strains deposited similarly in a smooth and even layer. The
filters with their deposited bacterial lawn, were placed on a metal
sample disc and allowed to air-dry for 30–90 min,[18] in order to obtain relatively stable, so-called
“plateau” contact angles, indicative of bacteria in
a hydrated state but without free water in between. Contact angles
were subsequently measured as described above. The contact angels
presented, represent the averages from three experiments with separate
prepared surfaces as well as bacterial cultures.Next, contact
angles on each surface were converted to a Lifshitz–van der
Waals (γLW) and acid–base (γAB) surface free energy component, while the acid–base component
was split up into an electron-donating (γ–) and an electron-accepting (γ+) parameter according
toin which
γ denotes the surface free
energy and/or its components and parameters of the various liquids
used or the solid surface to be analyzed, while θ represents
the contact angle of the different liquids.[19] Surface free energy components and parameters of the liquids used
can be found in Supporting Information Table
S1.
Bacterial and Substratum Zeta Potentials
To determine
the zeta potentials of the two bacterial strains, particulate microelectrophoresis
(Zetasizer nano-ZS, Malvern Instruments, Worcestershire, UK) was carried
out at low and high ionic strength (0.57 and 57 mM, respectively)
at pH 6.8.[20] Streaming potential measurements
were employed to determine the zeta potentials of uncoated and DDS-coated
glass surfaces. To this end, glass slides with and without DDS-coating
were mounted in a homemade parallel plate flow chamber, separated
by a 100 μm Teflon spacer.[21] A platinum
electrode was located on each side of the chamber. The streaming potentials
were measured at pressures ranging from 50 to 400 mbar, and each pressure
was applied for 10 s in both directions. Following this, the zeta
potentials were calculated by linear regression, i.e., linear least-squares
fitting of the streaming potentials.
DLVO Theory
The
DLVO theory, describes (bio)colloidal
particle adhesion as a result of attractive Lifshitz–van der
Waals and attractive or repulsive electrostatic forces. Accordingly,
the interaction energy between a colloidal particle and a substratum
can be expressed as a function of their separation distance (d) asin which GTOT, GLW, and GEL represent
the total, Lifshitz–van der Waals, and electrostatic interaction
energies, respectively. The Lifshitz–van der Waals interaction
between a spherical colloidal particle and a planar surface is given
byin which A is the Hamaker
constant and a is the radius of the colloidal particle.[19] The Hamaker constant was derived from the Lifshitz–van
der Waals component of interfacial free energy of adhesion according
toin which d0 is
the distance of closest approach (0.157 nm).[22−24] Analogously,
the electrostatic interaction can be calculated using measured zeta
potentials according toin which ε refers to the dielectric
permittivity of the medium, and ζb and ζs refer to the zeta potentials of the bacterium and substratum
surface, respectively. 1/κ is the Debye–Hückel
length, given byin which e corresponds to
the electron charge, kB is the Boltzmann
constant, T is the absolute temperature, z is the valence of ions present,
and n is the number
of ions per unit volume.
Statistical Analysis
All experiments
were carried out
in triplicates with separately prepared bacterial cultures as well
as different surfaces, and all data are presented as means ±
standard deviations. Results were compared pairwise for the two different
strains of bacteria for the effects of ionic strength by using a Student’s t test. p < 0.05 was considered to be
statistically significant.
Results
Table summarizes
the contact angles measured with different liquids on both substratum
surfaces and bacterial strains. On the basis of the water contact
angles, uncoated and DDS-coated glass surfaces can be classified as
hydrophilic and hydrophobic, respectively. Although S. salivarius HB7 was more hydrophobic than S. salivarius HBC12,
both bacterial strains can be classified as hydrophilic.
Table 1
Contact Angles with Different Liquids
for Uncoated and DDS-Coated Glass Surfaces as Well as for S. salivarius HB7 and S. salivarius HBC12a
surface/bacterial strain
θwater (deg)
θformamide (deg)
θmethyleneiodide (deg)
glass
23.3 ± 1.5
19.3 ± 2.3
52.3 ± 6.4
DDS-coated glass
97.0 ± 1.7
74.3 ± 6.7
63.3 ± 3.8
S. salivarius HB7
34.3 ± 4.6
12.3 ± 2.5
24.0 ± 6.0
S. salivarius HBC12
21.6 ± 3.6
24.7 ± 4.9
38.0 ± 16.2
Data represent
averages with
standard deviations over three droplets on three different glass surfaces
of each type and bacterial lawns prepared from three different bacterial
cultures.
Data represent
averages with
standard deviations over three droplets on three different glass surfaces
of each type and bacterial lawns prepared from three different bacterial
cultures.Surface free energy
components and parameters, calculated from
contact angles with the three different liquids were subsequently
compiled in Table , most notably showing a small acid–base component for hydrophobic
DDS-coated glass, due to both small electron-donating and accepting
parameters. In addition, the ratio of electron-donating over electron-accepting
parameters varied between the two substratum surfaces, indicative
of different structuring of water molecules nearby the surface.[19,25] Both streptococcal strains had similar acid–base components,
but S. salivarius HBC12 had a much higher electron-donating
surface free energy parameter than S. salivarius HB7,
resulting in different ratios between their electron-donating and
electron-accepting parameters. Zeta potentials of the different surfaces,
also compiled in Table , were negative for all surfaces at both low and high ionic strength,
while being significantly more negative in the low ionic than in the
high ionic strength buffer.
Table 2
Surface Free Energy
Components and
Parameters Together with Zeta Potentials for Uncoated and DDS-Coated
Glass Surfaces as Well as for S. salivarius HBC12
and S. salivarius HB7, Respectivelya
surface
free energy components and parameters (mJ m–2)
glass
DDS-coated glass
S. salivarius HBC12
S. salivarius HB7
γ
54.9 ± 1.1
27.7 ± 1.0
51.5 ± 2.6
57.0 ± 1.2
γLW
34.0 ± 3.0
26.8 ± 1.3
40.1 ± 7.9
46.3 ± 2.1
γAB
21.1 ± 3.8
0.4 ± 0.4
11.5 ± 8.8
10.6 ± 3.2
γ–
48.0 ± 0.8
2.1 ± 1.8
51.8 ± 4.9
35.1 ± 10.2
γ+
2.3 ± 0.9
0.4 ± 0.7
0.9 ± 0.9
1.0 ± 0.8
γ–/γ+
20.6 ± 0.9
4.1 ± 3.2
59.7 ± 5.5
35.1 ± 13.5
Data regarding surface energetics
represent averages with standard deviations over three measurements
on three different glass surfaces of each type and bacterial lawns
prepared from three different bacterial cultures. Bacterial zeta potentials
are averages with standard deviations over three experiments with
different bacterial cultures, while substratum zeta potentials are
averages with standard deviations over three streaming potential measurements
with different uncoated and DDS-coated surfaces.
Data regarding surface energetics
represent averages with standard deviations over three measurements
on three different glass surfaces of each type and bacterial lawns
prepared from three different bacterial cultures. Bacterial zeta potentials
are averages with standard deviations over three experiments with
different bacterial cultures, while substratum zeta potentials are
averages with standard deviations over three streaming potential measurements
with different uncoated and DDS-coated surfaces.The surface free energy components
from Table can be
used together with their counterparts
for water (see Supporting Information Table
S1) to calculate the Lifshitz–van der Waals interfacial free
energy of adhesion (eq ), and subsequently using eq to calculate the Hamaker constant for bacterial interaction
with uncoated or DDS-coated glass in an aqueous suspension. Since
the concept of interaction distance in the DLVO approach loses its
meaning when the bacterial cell surface possesses a multiscale roughness,[11] such as due to fibrillar surface tethers in S. salivarius HB7, these calculations were only made for S. salivarius HBC12, yielding Hamaker constants of 3.8 ×
10–21 and 1.6 × 10–21 J against
glass and DDS-coated glass, respectively. DLVO interaction energies
versus distance for S. salivarius HBC12 for glass
and DDS-coated glass were subsequently calculated inserting these
Hamaker constants and the zeta potentials from Table , into eqs , 4, and 6, assuming a bacterial radius of 500 nm,[26] and a Debye–Hückel length 1/κ for the two ionic
strengths (0.57 and 57 mM) of 1.3 × 10–8 and
1.3 × 10–9 m, respectively.At low ionic
strength (Figure ),
the secondary minimum was extremely shallow with
a depth of 0.5kT and 0.25kT for
uncoated and DDS-coated glass, respectively and located approximately
140 to 150 nm away from the substratum surface, respectively. Due
to the decrease of electrostatic repulsion, the secondary minimum
at 57 mM ionic strength was much deeper than that in 0.57 mM suspensions
(Figure ) and amounted
around 5kT and 3kT for glass and
DDS-coated glass, respectively, while being located approximately
15 nm from the surface. The potential energy barrier at close approach
may be considered too high for a bacterium to overcome and adhere
in the primary minimum as a whole in all cases.[27] Due to the relatively strong electron-donating and electron-accepting
parameters of glass as compared with DDS-coated glass, both strains
will also experience large monopolar repulsion at close approach,
that will be far less or absent on hydrophobic, DDS-coated glass than
on hydrophilic glass (see also Table ). For S. salivarius HBC12 on glass
monopolar repulsion ΔGAB(d0) amounts +30.4 mJ m–2, turning
into attraction (−10.6 mJ m–2) on DDS-coated
glass, but since this is at the distance of closest approach d0, it is not reflected in the interaction energies presented
in Figure according
to the DLVO theory as applied.
Figure 2
Interaction energies between S.
salivarius HBC12
and uncoated or DDS-coated glass surfaces in different ionic strength
suspensions, as a function of their surface-to-surface separation
distance. Insets represent part of the interaction energy curve at
a different scale to better visualize the secondary minimum.
Interaction energies between S.
salivarius HBC12
and uncoated or DDS-coated glass surfaces in different ionic strength
suspensions, as a function of their surface-to-surface separation
distance. Insets represent part of the interaction energy curve at
a different scale to better visualize the secondary minimum.As a first step in the TIRM measurements,
the chamber was perfused
with a bacterial suspension and the number of adhering streptococci
enumerated, as summarized in Figure .
Figure 3
Numbers of adhering S. salivarius HB7
and S. salivarius HBC12 on glass and DDS-coated glass
surfaces
at ionic strengths of 0.57 and 57 mM. Note that, on uncoated glass,
the number of adhering S. salivarius HBC12 was too
low for microscopic enumeration.
Numbers of adhering S. salivarius HB7
and S. salivarius HBC12 on glass and DDS-coated glass
surfaces
at ionic strengths of 0.57 and 57 mM. Note that, on uncoated glass,
the number of adhering S. salivarius HBC12 was too
low for microscopic enumeration.S. salivarius HB7 with its fibrillar tethers
adhered
in approximately equal numbers to uncoated and DDS-coated glass, regardless
of ionic strength (11 × 106 and 13 × 106 cm–2). S. salivarius HBC12 demonstrated
no microscopically enumerable numbers to the uncoated glass surface,
but on DDS-coated glass enumerable numbers were observed, amounting
2 × 106 and 4 × 106 cm–2 for the low and high ionic strength suspension, respectively.Vibrational amplitudes, Δz, of S.
salivarius HB7 adhering on a hydrophilic, uncoated glass
surface (Figure )
were relatively small, around 5 nm irrespective of ionic strength,
while S. salivarius HBC12 adhered in too low numbers
for TIRM experiments. S. salivarius HB7 also exhibited
a relatively small vibrational amplitude Δz of around 5 nm on hydrophobic, DDS-coated glass, albeit here the
vibrational amplitude was slightly higher at low ionic strength (not
statistically significant; p > 0.05, Student’s t test) than at high ionic strength. Strikingly, S. salivarius HBC12 demonstrated much higher vibrational
amplitudes Δz on hydrophobic, DDS-coated glass
than as observed for S. salivarius HBC7. In addition,
these vibrational amplitudes decreased slightly toward high ionic
strength (not statistically significant; p > 0.05,
Student’s t test).
Figure 4
Vibrational amplitudes
Δz above glass or
DDS-coated glass surfaces for S. salivarius HB7 and S. salivarius HBC12 in low and high ionic strength buffers,
obtained using TIRM. Note that on hydrophilic glass, the number of
adhering S. salivarius HBC12 was too low for TIRM
measurements. Data represent averages over three separate experiments
with error bars indicating the standard deviations over three different
bacterial cultures.
Vibrational amplitudes
Δz above glass or
DDS-coated glass surfaces for S. salivarius HB7 and S. salivarius HBC12 in low and high ionic strength buffers,
obtained using TIRM. Note that on hydrophilic glass, the number of
adhering S. salivarius HBC12 was too low for TIRM
measurements. Data represent averages over three separate experiments
with error bars indicating the standard deviations over three different
bacterial cultures.
Discussion
Using
TIRM, the variations in distance over time from a substratum
surface to which they adhered, were measured for two strains of S. salivarius with and without fibrillar surface tethers.
The strain with fibrillar tethers showed vibrational amplitudes of
around 5 nm, regardless of ionic strength or substratum hydrophobicity.
The strain without fibrillar tethers did not adhere in sufficient
numbers to derive vibrational amplitudes on hydrophilic, uncoated
glass, due to unfavorable thermodynamic conditions (interfacial free
energy of adhesion[27,28] calculated from the data in Table : + 26.5 mJ m–2 due to strong monopolar repulsion). Oppositely, on
hydrophobic, DDS-coated glass (interfacial free energy of adhesion:
−12.3 mJ m–2 in absence of strong monopolar
repulsion), the nonfibrillated strain adhered reasonably well and
vibrated perpendicularly above the surface with a 5-fold-higher amplitude
around 25 nm, regardless of ionic strength. Previously, TIRM has been
used to analyze the change in separation distance of these streptococcal
strains adhering for only 5 min to a substratum surface upon reducing
ionic strength.[29] When the ionic strength was reduced from 57 mM to
5.7 mM, the distance between the bacterial cell of S. salivarius HB7 and the substratum increased from 45 to 90 nm, which suggests
that fibrils change from a compressed, side-on conformation to a fully
stretched state. This conclusion was later confirmed by QCM-D (quartz
crystal microbalance with dissipation) experiments[30] suggesting collapse of streptococcal fibrillar tethers
within several minutes after contact with a substratum surface. The
vibrational amplitude of the fibrillated strain observed here (5 nm)
is not only much smaller than the distance at which a bacterium adheres
above the surface and unaffected by ionic strength, but also much
smaller than the fibrillar length or the distance above the surface
measured before, probably because in our measurements 60 min of adhesion
were allowed before measurements, causing tether collapse over time
under influence of the adhesion forces arising from the substratum
surface.The perpendicular, vibrational amplitudes of adhering S.
salivarius HBC12 without fibrillar surface tethers can be
related with the DLVO interaction free energy curves but due to low
numbers of adhering bacteria resulting from combined monopolar and
low ionic strength electrostatic repulsions only at high ionic strength.
Under high ionic strength conditions, there is a clear secondary minimum
(Figure ). Accounting
for a thermal energy of 1.5kT for a bacterium,[31] this allows a bacterium adhering in the secondary
minimum to float and move away from and toward the substratum surface.
This floating behavior is constrained by the width of the secondary
minimum, while bacteria remain to adhere at an average distance above
the surface dictated by the absolute secondary interaction minimum.
The width of the secondary interaction minimum at 1.5kT above the absolute minimum amounts around 15 to 20 nm, which coincides
with the variations in distance (Δz) above
the surface observed using TIRM (Figure ). Perpendicular, vibrational amplitudes
of S. salivarius HBC12, adhering in a “floating”
mode are much larger than of strain S. salivarius HB7, possessing fibrillar tethers (Figure ). Tether coupling to the surface clearly
restricts the vibrational amplitudes.In order to obtain further
evidence for a floating or tether-coupled
mode of bacterial adhesion, the energy of adhering bacteria as a function
of their distance above a substratum surface can be compared with
the distant-dependent DLVO interaction energy (see Figure ). The probability of a bacterium
being located at a certain position z above a surface follows from
the frequency histogram of bacterial positions around its equilibrium, P(z –
⟨z⟩),
which was related to the Boltzmann distribution[32] according toin which A is a normalization
constant, G(z – ⟨z⟩) is the interaction energy at a position relative
to the equilibrium z-position, ⟨z⟩, of a bacterium.The
interaction energy can now readily be calculated expressed
in kT units according toNeglecting
log(A) as a constant
that merely defines the absolute energy level, the distance dependence
of the interaction energy follows directly from the vibration amplitudes
and associated probabilities that a position above the surface is
occupied. Shapewise, the interaction energies of S. salivarius HB7 (Figure ) are
highly symmetrical and parabolic at both ionic strengths and can be
well fitted to a harmonic oscillator model[32] according toin which k is the spring
constant of the tether, that can on average be calculated to be 2.5
× 10–5 N m–1 regardless of
ionic strengths. Thus, it can be concluded that streptococci with
fibrillar surface tethers couple directly to a substratum surface,
which requires piercing of the DLVO potential energy barrier by the
tethers, which has been suggested before[33] but never backed-up with experimental evidence.
Figure 5
Comparison of the distance
dependence of the interaction energy
(calculated from perpendicular vibration amplitudes above the surface)
between adhering S. salivarius HB7 with fibrillar
surface tethers and hydrophobic, DDS-coated glass surface at two ionic
strengths (0.57 and 57 mM) with the distance dependence calculated
according to a harmonic oscillator model. Black lines represent the
calculated interaction energy as a function of the relative displacement
(z – ⟨z⟩), and the red dotted
lines represent their fitting to a harmonic oscillator model. The
figure refers to 15 individual bacteria, each represented by one pair
of black and red dotted lines, i.e., fits.
Comparison of the distance
dependence of the interaction energy
(calculated from perpendicular vibration amplitudes above the surface)
between adhering S. salivarius HB7 with fibrillar
surface tethers and hydrophobic, DDS-coated glass surface at two ionic
strengths (0.57 and 57 mM) with the distance dependence calculated
according to a harmonic oscillator model. Black lines represent the
calculated interaction energy as a function of the relative displacement
(z – ⟨z⟩), and the red dotted
lines represent their fitting to a harmonic oscillator model. The
figure refers to 15 individual bacteria, each represented by one pair
of black and red dotted lines, i.e., fits.The distance dependence of the interaction energy calculated
from
vibration amplitudes for S. salivarius HBC12 is completely
different than that for S. salivarius HB7 (compare Figures and 6). Most notably, its distance dependence is not symmetrical
around an equilibrium distance and therewith not according to a harmonic
oscillator model but resembling the asymmetry of the DLVO secondary
potential energy minimum (compare Figures and 6). This confirms
absence of tether-coupling and a mode of adhesion that we propose
to call “floating-adhesion” above the surface.
Figure 6
Distance dependence
of the interaction energy (calculated from
perpendicular vibration amplitudes above the surface) between adhering S. salivarius HBC12 without fibrillar surface tethers and
hydrophobic, DDS-coated glass surface at two ionic strengths (0.57
and 57 mM), showing an asymmetrical distribution around their equilibrium
position. Black lines represent the calculated interaction energy
as a function of the relative displacement (z – ⟨z⟩). The figure refers to 15 individual
bacteria, each represented by one line.
Distance dependence
of the interaction energy (calculated from
perpendicular vibration amplitudes above the surface) between adhering S. salivarius HBC12 without fibrillar surface tethers and
hydrophobic, DDS-coated glass surface at two ionic strengths (0.57
and 57 mM), showing an asymmetrical distribution around their equilibrium
position. Black lines represent the calculated interaction energy
as a function of the relative displacement (z – ⟨z⟩). The figure refers to 15 individual
bacteria, each represented by one line.In summary, we have provided experimental evidence for the
existence
of two modes of bacterial adhesion, as schematically summarized in Figure . Bacteria with fibrillar
surface tethers adhere to a substratum surface in an irreversible
fashion by tether-coupling to the surface, i.e. piercing of the tether
through the potential energy barrier (Figure a). Distance variations above the surface
over time are governed by the harmonic oscillations allowed by the
spring. Bacteria without fibrillar surface tethers adhere in the secondary
energy minimum with their perpendicular displacement over time restricted
by the width of the secondary minimum at 1.5kT above
the minimum itself (Figure b). The distinction between “tether-coupled”
and “floating” adhesion is new, and may have implications
for bacterial detachment strategies, since detachment of tether-coupled
bacteria may involve disrupting the bond of multiple tethers with
a surface while “floating” adhesion will be disrupted
by decreasing the depth of the secondary interaction minimum, which
is relatively easy, e.g., by changing prevailing ionic strength conditions
or slight-rinsing of the substrata with adhering bacteria (data not
shown). (For details on detachment forces involved in slight-rinsing
see Gomez-Suarez, et al.[34])
Figure 7
Schematics of tether-coupled
adhesion of a bacterium (a) and floating
adhesion (b). Note that tether-coupled adhesion requires piercing
of the elastic tether (indicated as a red spring) through the DLVO-potential
energy barrier.
Schematics of tether-coupled
adhesion of a bacterium (a) and floating
adhesion (b). Note that tether-coupled adhesion requires piercing
of the elastic tether (indicated as a red spring) through the DLVO-potential
energy barrier.
Authors: Johannes Mischo; Thomas Faidt; Ryan B McMillan; Johanna Dudek; Gubesh Gunaratnam; Pardis Bayenat; Anne Holtsch; Christian Spengler; Frank Müller; Hendrik Hähl; Markus Bischoff; Matthias Hannig; Karin Jacobs Journal: ACS Biomater Sci Eng Date: 2022-03-09