 |
INTRODUCTION |
A comprehensive understanding of
structure-function relations of biomembranes ultimately relies on
knowledge of the properties of lipid bilayers in relation to
lipid-protein interactions. The complex structural dynamics of
membranes involve a balance of forces characteristic of amphiphilic
systems, as manifested by both the protein and lipid structural
parameters and their connection to specific biomembrane functions
(Brown, 1994
; Epand, 1998
;
Bezrukov et al., 1998
; White and Wimley,
1999
). One quantity that describes the bilayer microstructure
with regard to molecular packing is the average interfacial area per
lipid molecule
A
, which is defined in reference to the
average hydrocarbon thickness DC and the
hydrocarbon chain volume VC. The precise values
of these lipid structural parameters are determined by the interactions
between the various lipid bilayer constituents, and their measurement provides a practical way to acquire information on the intermolecular interactions. By studying the interaction of lipid molecules, one is
better positioned to further explore more complex systems, such as
lipid-protein assemblies, in terms of the effect of membrane components on the bilayer thermodynamic parameters, and, in particular, on the area per lipid.
The question is thus how to obtain accurate estimates of structural
parameters for the disordered, but biologically relevant fluid state as
a mean of relating the bilayer microstructure to the characteristic
force balance responsible for lipid self-assembly. In this regard, the
most powerful biophysical techniques are small-angle X-ray scattering
(Tardieu et al., 1973
; Worthington et al.,
1973
; Lewis and Engelman, 1983
; McIntosh
and Simon, 1986
; Rand and Parsegian, 1989
),
small-angle neutron scattering (Zaccai et al., 1979
;
Wiener and White, 1992
; Lemmich et al.,
1996
), Fourier transform infrared spectroscopy (FTIR)
(Mendelsohn et al., 1989
; Davies et al.,
1992
; Tuchtenhagen et al., 1994
), and deuterium
(2H) NMR spectroscopy (Seelig and Seelig,
1974
; De Young and Dill, 1988
; Ipsen et
al., 1990
; Thurmond et al., 1991
; Koenig
et al., 1997
). Moreover, computer simulations of lipid bilayers
are useful in revealing important details of the structural dynamics in
terms of the underlying force fields (Pastor and Feller,
1996
). The structural parameters DC and
A
can be directly determined from scattering
experiments in special cases where relatively high positional ordering
of membrane components is present (Nagle and Wiener,
1988
; Tristram-Nagle et al., 1993
; Sun et
al., 1994
). More often though, especially in the fluid state at
full hydration, the direct measurement of the area per lipid using
scattering techniques is a much more difficult task, even for pure
lipid bilayers (McIntosh and Simon, 1986
; Nagle
et al., 1996
; Koenig et al., 1997
;
Petrache et al., 1998a
; Tristram-Nagle et al.,
1998
).
Deuterium NMR spectroscopy has been a powerful tool for investigations
of biological membranes. Although it measures orientational ordering as
opposed to positional order, it reveals detailed aspects with regard to
the lipid chain packing from which structural parameters can be
obtained. Since its early use (Seelig and Seelig, 1974
; Mely et al., 1975
), 2H NMR has provided a
wealth of information regarding the organization of membrane
components, especially in regard to the lipid polar headgroups
(Brown and Seelig, 1977
, 1978
) and acyl chains
(Seelig, 1977
; Salmon et al., 1987
). The
2H NMR order profile of the acyl chains is very sensitive
to physicochemical conditions, such as temperature, concentration, and
hydration level, and therefore it has been used to measure the response of the membrane to these various factors (Bloom et al.,
1991
; Jansson et al., 1992
; Morrow et
al., 1992
; Koenig et al., 1997
). Another
important use of 2H NMR spectra of lipid acyl chains is to
describe the influences of membrane components, such as cholesterol
(Oldfield et al., 1978
; Trouard et al.,
1999
) and hydrophobic peptides (De Planque et al.,
1998
; Koenig et al., 1999
), on the lipid
bilayer. For a complete understanding of these effects one needs to
relate the measured 2H NMR spectra to physical properties
of the lipid chains.
A quantitative interpretation of the order parameters in terms of
membrane thermodynamic parameters and, in particular, the membrane
structure has been particularly challenging. This is because the
complexity of the lipid bilayer (i.e., the large number of degrees of
freedom) makes statistical mechanical calculations starting from first
principles intractable (see Nagle, 1980
, for a review).
As a result, simplified chain conformation models have been considered,
which attempt to capture the most relevant degrees of freedom in terms
of the appropriate distributions. One example is the diamond lattice
model (Seelig and Seelig, 1974
; Salmon et al.,
1987
), from which one obtains a simple linear relationship between the 2H NMR order parameter
SCD(i) of the chain segment (i),
and the corresponding projection
Di
along
the membrane normal (Schindler and Seelig, 1975
;
Salmon et al., 1987
; Thurmond et al.,
1991
; Nagle, 1993
; Douliez et al., 1995
), namely,
|
(1)
|
Here, Di is the distance between carbons
i + 1 and i
1, projected on the
bilayer normal, and DM = 2.54 Å is the
maximum possible projection. The brackets in Eq. 1 represent an
ensemble average over chain conformations. By summing over consecutive chain segments (i), one can calculate the full chain
projection, or partial distances between different carbon atoms along
the chain. Knowing the chain length, the area per lipid can then be calculated by using information on the chain volume (Thurmond et
al., 1991
; Nagle, 1993
; Brown,
1996
). Convenient as it is, Eq. 1 is nonetheless an unexpected
result, because the order parameter is a quadratic function of the
segment tilt (the second-order Legendre polynomial). Clearly, Eq. 1 is
a linear approximation of the real underlying relationship between
Di
and SCD(i).
This linear form has proved to be quite effective in the past, giving
results in fairly good agreement with scattering experiments that
measure structural parameters more directly. But with newer and more
precise measurements, discrepancies between the analysis of
2H NMR and X-ray data regarding the area per lipid have
become increasingly noticeable (Koenig et al., 1997
;
Petrache et al., 1999
). Consequently, Eq. 1 and other
similar linear relationships are open to reevaluation.
An alternative to the diamond lattice model was recently proposed by
Petrache et al. (1999)
. Rather than considering a
discrete set of segmental conformations, corresponding to the most
populated internal dihedral angles, the new model is based on a
continuum distribution of segmental orientations. This continuum
distribution, here denoted by f(D), is generated by the
combined effect of internal degrees of freedom (dihedral angles) and
chain motion as a whole (chain tilt). Based on this model, a new
analytical relation was derived (Petrache et al., 1999
),
namely
|
(2)
|
where the brackets indicate the ensemble average generated by the
orientational distribution function f(D). This expression has been shown to work better than the diamond lattice result for the
calculation of chain segment projections (Petrache et al.,
1999
; Smondyrev and Berkowitz, 1999
). However,
when further applied to estimate the area per lipid using
2H NMR data, it gave discrepancies with accepted X-ray
results (Petrache et al., 1999
).
The calculation of the area per lipid
A
from
2H NMR data is unfortunately not straightforward, starting
with the definition of the area itself. Although various moments of the
distribution f(D), in particular the average projection
D
, can be defined and calculated in a straightforward
manner, the same is not true for the average area
A
.
One possible approach to connecting the geometrical properties along
the bilayer normal D and perpendicular to the bilayer normal
A
is to define an instantaneous area A
4VCH2/D, where
VCH2 denotes the volume of the chain
segment. Then, as pointed out by Jansson et al. (1992)
,
the calculation of the average area
A
amounts to
calculation of
1/D
. The evaluation of
1/D
requires knowledge of the functional form of the
distribution function f(D), or alternatively, knowledge of
the moments of f(D), as discussed by Jansson et al.
(1992)
and Petrache et al. (1999)
. Here we
propose a methodology for area calculation that takes advantage of the
continuum description of segmental conformations. It is important to
note that continuum models have been extensively used in the analysis
of NMR relaxation data (Brown, 1982
; Halle, 1991
; Trouard et al., 1994
; Brown and
Chan, 1995
; Althoff et al., 1996
;
Nevzorov et al., 1998
), whereas the analysis of order
parameters has tended to involve discrete descriptions. It is therefore
desirable to combine the relaxation and order parameter analyses into a more consistent picture.
In what follows, we present the results of an extensive series of
experimental 2H NMR measurements of disaturated
phospholipids in the fluid lamellar (L
)
state. Motivated by this 2H NMR data set, and by recent
X-ray scattering measurements (Nagle et al., 1996
;
Koenig et al., 1997
; Petrache et al.,
1998a
), we then reformulate the continuum theory in terms of an
effective orientational potential (mean-torque potential)
(Brown, 1996
). The latter is related to the distribution
function for the segment orientations, and provides insight into the
intermolecular interactions that govern the microstructure of
phospholipid/water dispersions. Finally, the experimental data are
interpreted in terms of the theory to yield a new conceptual framework
for the analysis of bilayer structural properties.
 |
EXPERIMENTAL METHODS |
Phospholipid synthesis and sample preparation
High purity (
99%) fatty acids were obtained from Sigma (St.
Louis, MO) and were perdeuterated by catalytic exchange of
2H for 1H over a 10% Pd-charcoal catalyst
(Aldrich, Milwaukee, WI) at 200°C. The perdeuterated fatty acids were
more than 99% pure by gas-liquid chromatography on 10% SP-2330
(Supelco, Bellafonte, PA), and were typically 92-96% labeled with
2H according to mass spectrometry. Symmetric (like chain)
phospholipids were synthesized from the cadmium chloride adduct of
sn-glycero-3-phosphocholine and the corresponding
perdeuterated fatty acid anhydrides, as described by Salmon et
al. (1987)
. Representative yields based on
sn-glycero-3-phosphocholine were 75-90%. The asymmetric
phosphatidylcholine, 1-palmitoyl-2-perdeuteriopalmitoyl-sn-glycero-3-phosphocholine (DPPC-d31), in which the sn-2
chain was perdeuterated, was synthesized as follows. First, DPPC was
reacted with snake venom phospholipase A2 (Sigma); the
resulting 1-palmitoyl-sn-glycero-3-phosphocholine was
purified by column chromatography, and finally the lyso
phosphatidylcholine was reacylated at the sn-2 position
using the anhydride of perdeuteriopalmitic acid. After purification by
column chromatography on silicic acid, all phospholipids gave single
spots upon thin-layer chromatography in
CHCl3:MeOH:H2O (65/35/5) followed by charring
with 40% H2SO4 in EtOH.
Multilamellar samples were prepared by vortexing ~100-150 mg
phospholipid together with an equal weight of 2H-depleted
1H2O (Aldrich) above the bilayer phase
transition temperature. The 50 wt % multilamellar dispersions were
then centrifuged and sealed in cutoff ~6 or 10-mm-diameter Kimax- or
Pyrex-type glass culture tubes with Teflon plugs. The samples were
stored at
85°C when not in use.
Deuterium NMR methods
Deuterium NMR spectroscopy of the multilamellar lipid
dispersions involved generation of the solid (quadrupolar) echo
followed by Fourier transformation. Measurements were performed at
55.43 MHz with a phase-cycled, quadrupolar echo sequence,
(
/2)x
2
(
/2)y
2
acquire. A
homebuilt 2H NMR probe was used having a horizontal
solenoidal radiofrequency coil design together with high-voltage
capacitors (Polyflon, Norwalk, CT). A kilowatt radiofrequency boost
amplifier (Model Tempo 2006, Henry Radio, Los Angeles, CA) was used in
series with the spectrometer output to enable 90° pulse durations
<3-4 µs for the 10-mm radiofrequency coil. The transient NMR
signals were shunted to the preamplifier (Miteq, Hauppauge, NY) using a
Lowe-Tarr series crossed diode circuit, and were acquired with a fast
digitizer. Typical spectral acquisition parameters involved a pulse
spacing (
2) of 40 µs, a dwell time of 2 µs (spectral
width of ±250 kHz), and collection of 2048 data points. Recycle times
were generally 1 s, and typically 600-2400 transients were
collected, apodized by exponential multiplication (100-Hz
line-broadening), and Fourier transformed beginning at the maximum of
the solid echo. Both quadrature channels were used and the spectra were
not symmetrized. The sample temperature was monitored before and after
each measurement with a thermistor inserted directly above the
radiofrequency coil, and was usually found to vary by less than 0.5°C
during a given run. The temperatures are estimated accurate to within
±1°C of the reported values. All samples were subsequently checked
by thin-layer chromatography and revealed no contamination or degradation.
Data analysis and reduction: Spectral assignments
The 2H NMR spectral powder patterns were numerically
deconvoluted (de-Paked) to yield the
= 0° oriented spectra
as described (Bloom et al., 1981
). The most useful
characteristic of the de-Pakeing algorithm is that it leads to
increased spectral resolution. In addition, it reveals the
"Me-2-3-2" spectral pattern (see below) and the large "plateau"
peak, which are characteristic of perdeuterated disaturated
phosphatidylcholines (see Fig. 1).
Spectral assignments for multilamellar dispersions of
1,2-diperdeuteriomyristoyl-sn-glycero-3-phosphocholine (DMPC-d54) and
1,2-diperdeuteriopalmitoyl-sn-glycero-3-phosphocholine (DPPC-d62) were made by comparison to
2H NMR results for the corresponding specifically
deuterated phospholipids (Seelig and Seelig, 1974
;
Oldfield et al., 1978
). For
DPPC-d62, assignments of the splittings due to
the sn-1 and sn-2 chains entailed comparison of
the de-Paked 2H NMR spectra of
DPPC-d62 (both chains deuterated) to
DPPC-d31 (sn-2 chain deuterated). It
was assumed that similar splittings occur for the other
phosphatidylcholines, viz.
1,2-diperdeuteriolauroyl-sn-glycero-3-phosphocholine (DLPC-d46), DMPC-d54, and
1,2-diperdeuteriostearoyl-sn-glycero-3-phosphocholine (DSPC-d70). Further peak assignments were made
assuming the order parameters decrease in magnitude from C2
(
carbon) to the methyl end, and that the area under each peak is
proportional to the number of deuterons generating the peak
(Williams et al., 1985
). The only exception was the
C2 segment of the sn-2 chain, for which the
splittings were assigned in the case of DPPC-d62
based on literature data for specifically deuterated lipids
(Seelig and Seelig, 1974
); it was assumed that the other
lipids yielded similar C2 splittings. Additionally, the
assignments were made from the methyl terminus toward the plateau
region. The terminal methyl groups possess the smallest quadrupolar
splittings, and hence are the simplest to assign. The "2-3-2"
pattern is then readily assigned, followed by the remainder of the
fatty acyl chains.

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FIGURE 1
(a-c) Representative 2H NMR
spectra of homologous series of disaturated phosphatidylcholines with
perdeuterated acyl chains. Samples were fully hydrated and were in the
lamellar fluid phase at 50°C. Powder-type 2H NMR spectra
are shown at left, and the corresponding de-Paked 2H NMR
spectra at right.
|
|
The C-D bond order parameters, SCD(i), of
the de-Paked 2H NMR spectra were calculated from the
quadrupolar splittings using the relation (Brown, 1996
):
|
(3)
|
where
Q
(e2qQ/h) = 167 kHz (Davis, 1983
),
represents the angle
between the bilayer director axis and the static magnetic field
direction, and P2(cos
) = (3 cos2
1)/2, which, for
= 0°, is equal
to unity. Based on geometrical considerations the values of
SCD(i) are assumed to be negative.
 |
DEUTERIUM NMR RESULTS |
Disaturated phosphatidylcholines in the liquid-crystalline
state
Representative 2H NMR spectra at 50°C are shown in
Fig. 1 for a homologous series of disaturated phosphatidylcholines
having different acyl lengths. Powder-type 2H NMR spectra
of the randomly oriented multilamellar dispersions (fully hydrated; 50 wt % H2O) are shown at left, and the corresponding deconvoluted (de-Paked) 2H NMR spectra due to the
= 0° bilayer orientation are shown at right. Several conclusions can
be immediately drawn from the 2H NMR lineshapes in Fig. 1.
First, the 2H NMR spectra are indicative of a uniform
spherical distribution of the bilayer director axes, and little or no
orientation of the bilayers by the relatively high magnetic field
strength of 8.48 T is evident. This is supported by the de-Paked
2H NMR spectra at right in Fig. 1, which are of relatively
high quality and evince little or no distortion. Second, the
2H NMR spectra are characteristic of axially symmetric
motions of the phospholipids about the bilayer normal (director axis), with a distribution of quadrupolar splittings due to the various inequivalent methylene and methyl groups of the perdeuterated acyl
chains. Moreover, the sn-1 and sn-2 acyl groups
are inequivalent, as revealed by 2H NMR spectra of
multilamellar dispersions of DPPC-d62 (both
chains perdeuterated) compared to DPPC-d31
(sn-2 chain deuterated) (spectra not shown). This
inequivalence is due to variations in the motional behavior of the
individual acyl segments. Finally, the magnitudes of the quadrupolar
splittings indicate that the phospholipids possess considerable
disorder due to trans-gauche rotational isomerizations and
other degrees of freedom (see below). The distribution of the
quadrupolar splittings is related to the acyl length and
cross-sectional area distributions as considered in further detail below.
Of particular interest here is the dependence of the 2H NMR
spectra of the homologous phosphatidylcholines on the length of the
acyl chains. Both the 2H NMR powder-type spectra
(left) of the randomly oriented multilamellar dispersions,
and the corresponding de-Paked spectra (right) show that the
quadrupolar splittings increase with increasing chain length. In
particular, the de-Paked 2H NMR spectra allow for a better
comparison between the lipids due to the increased resolution of the
various inequivalent quadrupolar splittings. As a rule, disaturated
phosphatidylcholines in the fluid state are distinguished by the
Me-2-3-2 spectral pattern present at all temperatures above the melting
transition, as can be seen clearly in the de-Paked 2H NMR
spectra at right in Fig. 1. Specifically, moving away from the central
methyl peak, the quadrupolar splittings fall into groups of 2, 3, and 2 peaks, followed by the larger peaks with the greatest quadrupolar
splittings. The latter represent the so-called plateau region because
it contains the unresolved splittings corresponding to acyl segments
close to the glycerol backbone (beginning of the acyl chain), all of
which possess a similar degree of disorder. With increasing acyl length
at fixed temperature, the plateau peak becomes larger and it shifts
toward larger quadrupolar splittings. This behavior indicates that the
length of the plateau acyl chain region increases and becomes less
disordered as more mass is added in the hydrocarbon region.
Order profiles: Effect of acyl length
The above observations are more evident upon reduction of the
2H NMR spectral data in terms of order parameter profiles.
The spectral assignments and the corresponding quadrupolar splittings for the
= 0° orientation,
(
Q)
obtained as described in the
Experimental Methods section, are summarized in Tables
1-4. The order parameters SCD(i), which are model
free, are plotted as a function of the acyl segment position in Fig.
2, and provide a quantitative measure of
the degree of order along the lipid acyl chains. In each case, the
order parameters of the initial segments, close to the glycerol and
headgroup region, show a broad plateau followed by a reduction in
ordering toward the central region of the bilayer. The characteristic order profile is due to the tethering and alignment of the acyl segments near the aqueous interface, with the increased disorder in the
bilayer center due to chain terminations. The order parameters for each
lipid decrease with T, reflecting the increased chain disorder resulting from raising the temperature (entropic effect). The
largest influence of temperature is on the initial plateau region of
the acyl chains, which becomes both more disordered and narrower with
increasing T, leading to an overall narrowing of the order
profiles.

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FIGURE 2
(a-d) Measured C-D bond order parameter
profiles as a function of carbon number along the acyl chains for the
homologous series of disaturated phosphatidylcholines with acyl
lengths from nC = 12 to
nC = 18. Data for sn-1 and
sn-2 chains are shown separately (but with the same symbols)
for each temperature. The double resonances for the C2
carbon of the sn-2 chain are also shown. For each lipid, the
order parameters decrease in magnitude with increasing temperature, and
the effect is larger for the plateau region.
|
|
Further perspective on the order parameter results is gained by
comparison of the data for the different lipids at a fixed absolute
temperature, as shown in Fig. 3. A first
observation is that the plateau regions are larger in magnitude and
broader for longer chains. This is basically opposite to the
temperature effect described above. However, although the plateau
region shows a strong chain-length dependence at any given temperature,
the nonplateau segments (chain ends) are practically independent of chain length. This second observation suggests that, at least in a
first approximation, the differences in the structure and dynamics of
different acyl chain lengths at the same absolute temperature can be
obtained just from the analysis of the plateau regions.

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FIGURE 3
(a-d) Data as in Fig. 2, plotted at the
same absolute temperature in each panel. At any given temperature, the
plateau order parameters are larger for longer chains, whereas
nonplateau order parameters show little variation.
|
|
One particular goal of the 2H NMR data analysis is to
relate the above order parameter profiles to the average projections of
the acyl chain segments onto the bilayer normal, with the purpose of
calculating the average lipid chain length and the area per lipid in
the fluid state. To achieve this goal, one needs to construct a
statistical model for the segmental configurations.
 |
THEORY |
Segmental motions
The SCD parameters in 2H NMR
spectroscopy comprise experimental observables that are measures of the
carbon-deuteron (CD) bond orientations with respect to the static
external magnetic field axis. Let
PL be the
instantaneous angle between the C-D bond and the direction of the
static external magnetic field B0. In terms of
the rotation group parameters,
PL is the polar angle (colatitude) of the Euler angles
PL = (
PL,
PL,
PL) that rotate the quadrupolar coupling tensor from its principal axes system P to the laboratory frame L defined by the
magnetic field (see Fig. 4). The
quadrupolar splitting 
Q measured by 2H
NMR spectroscopy detects the ensemble average (Brown,
1996
)
|
(4)
|
Here, 
Q =
Q+
Q
, where
Q± =
±
0 with
0 being
the Larmor frequency and
± = ±(E
1
E0)/h the eigen-frequencies of the single quantum transitions of the I = 1 2H nucleus. Additionally,
Q
e2qQ/h is the static quadrupolar constant;
D00(2)(
PL) is the Wigner
rotation matrix element with angular momentum j = 2 and
projections m = m' = 0; and P2
is the second-order Legendre polynomial. The above result is obtained
with the assumption that the coupling tensor is axially symmetric
(Brown, 1996
). The brackets in Eq. 4 indicate an average
over the tensor orientations sampled on the NMR time scale, i.e., over
the motions that occur on a time scale comparable to, or less than, the
inverse quadrupolar splitting. Because of thermal motion, the segmental
tensor orientation with respect to the laboratory frame is time
dependent, and this fact is indicated in Eq. 4 above.

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FIGURE 4
Intermediate frames used to describe motions of a
D-C-D group in the lipid acyl chains: principal axis system of a C-D
bond (P), internal frame (I), local director
frame (N), global (average) director frame (D),
and laboratory frame (L). Transformations between
frames are carried out by rotations with the Euler angles
XY, where X and Y are generic
frame indices. The figure serves for illustrative purposes only and
therefore is not drawn to scale.
|
|
In principle, one expects the presence of contributions from a
hierarchy of motions including segmental motions, molecular motions,
and collective fluctuations of the bilayer itself. For the treatment of
these various motions, it is convenient to expand the Wigner matrix
D00(2)(
PL; t) in
a sequence of frame transformations, using the closure property of the
rotation group. In a general formulation, one can write (Brown,
1996
),
|
(5)
|
where all summations run from
2 to 2. The intermediate frames
considered here are the internal frame, I, the molecular
axis system, M (not shown in Fig. 4), the local director
frame, N, and the average director frame, D. The
z axis of the internal frame I is taken to be the
normal to the D-C-D plane, and therefore
PI = 90°. For each chain segment i, this axis gives the
orientation of the virtual bond Ci
1-Ci+1,
which we designate as the orientation of segment i. The
projection of this virtual bond on the bilayer normal is denoted by
Di. Note that these virtual bond vectors differ
from the previous definition of Salmon et al. (1987)
.
Clearly, the expansion of
D00(2)(
PL; t) can
include any arbitrary number of coordinate transformations, depending
on the motional model considered. The expansion in Eq. 5 is a general
example that can be reduced by collapsing those transformations not
present in the model (see below).
The C-D order parameter for each chain segment i is defined
with respect to the bilayer director frame D, as the
ensemble average
|
(6)
|
which, in terms of Eq. 5, includes the first four transformations
on the right-hand side. The last Wigner matrix in Eq. 5 describes the
fixed transformation from the average director D, about
which there is cylindrical symmetry, to the laboratory frame L, and is accounted for by the de-Pakeing procedure. The
above development can be used to relate the spectroscopic observables, viz., the measured C-D bond order parameters, to order parameters that
are more convenient to use in describing the structure and dynamics of
the acyl chains. How can one compute these ensemble averages? In
general, any statistical property
(
) (here
is a generalized
Euler angle) can be expressed in terms of a distribution function
f(
) which gives the ensemble average,
|
(7)
|
The orientational distribution function f(
) can be
expanded in a series of orthogonal polynomials, e.g., the Legendre
polynomials Pj(cos
),
|
(8)
|
where the
Pj(cos
)
comprise the
various moments of the distribution, i.e., order parameters. Clearly,
knowledge of all the moments is required to specify the distribution
function. However in many cases only the lower moments are available.
In this formulation, the order parameter SCD
measured by 2H NMR spectroscopy is related to the second
moment
P2(cos
)
of the orientational
distribution function f(
). As a rule, f(
) is a function of both even- and odd-rank order parameters,
Pj(cos
)
, including of particular
interest the odd-rank term
P1(cos
)
,
which is related to the acyl chain segmental projection on the bilayer
normal. One therefore needs to use a model of segmental conformations
to reconstruct
P1(cos
)
given
P2(cos
)
. In other words, one needs to
assume a functional form for the orientational distribution function
f(
). The conventional approach, namely the diamond
lattice model, is briefly reviewed in the next section, followed by a
detailed description of the continuum model developed in this paper.
The diamond lattice model
The diamond lattice model developed by Schindler and Seelig
(1975)
has been extensively used to model the measured order
parameters. Here we give a short derivation in terms of the
orientational distribution function, f(
IM),
of the chain segments (virtual bonds) relative to the molecular axis
M (Salmon et al., 1987
; Jansson et
al., 1992
; Douliez et al., 1995
). In this model,
the transformations considered are from the principal axis system P to the internal frame I, then from I
to the molecular system M, where M is taken as
coincident with the local director frame N (see Eq. 5). The
model assumes that the C-D bond orientations fall on a tetrahedral
lattice with segment orientations
i = 0°, 60°,
90°, 120°, 180°, where the subscript IM has been
suppressed for clarity. For such a model of discrete segmental
orientations, the moments of the segmental distribution are given by
|
(9)
|
where the probabilities pi are normalized
(
i pi = 1).
Evidently, substitution into Eq. 8 gives the distribution
function,
|
(10)
|
where
denotes the Dirac delta function. By construction of the
model, the distribution function f(
) is basically a sum of delta functions centered at discrete orientations
i.
As noted above, the average value of any angular dependent quantity can then be obtained as
|
(11)
|
where
|
(12)
|
and
|
(13)
|
In this framework, neglecting the contribution from the
orientations at 120° and 180° due to backfolding of the chains
(Schindler and Seelig, 1975
; Salmon et al.,
1987
), one obtains for the C-D bond,
|
(14)
|
where S
p2(cos
)
and
|
(15)
|
Given that the probability function is normalized
(p0 + p60 + p90
1), the above are combined to yield Eq. 1
of the Introduction. The acyl chain length in the molecular frame
M, relative to the all-trans state, is then
calculated by summing over all carbon segments (Salmon et al.,
1987
), giving
|
(16)
|
where the last term of the sum represents the contribution of the
terminal methyl. Because the configurational statistics of the segments
are only considered with respect to the molecular frame, the above
model neglects molecular motions and collective bilayer motions (see below).
The mean-torque model
Using the same framework, one can also consider a continuum model
of segmental orientations, which has been shown to be superior to the
diamond lattice model result (Petrache et al., 1999
;
Smondyrev and Berkowitz, 1999
). In this model, we retain
from Eq. 5 the intermediate frames shown in Fig. 4, namely the internal
frame I, the local director frame N, and the
average director frame D. Assuming that i) there is
cylindrical symmetry about the local director, and ii) the local
motions with respect to the local director axis and the director
fluctuations are statistically independent, we have that the observed
second-rank order parameter is given by
|
(17)
|
The first bracket of the right-hand term in the above expression
is the molecular order parameter of the ith segment with respect to the local director n(t); as such, it
combines internal degrees of freedom (chain isomerization) and
molecular motion relative to the local director n(t).
The second bracket in Eq. 17 is the order parameter of the local
director itself with respect to the global (average) director,
n0, and describes the order director
fluctuations (ODF). Similar to Eq. 17, we can write the corresponding
relation for the first-rank order parameters,
|
(18)
|
For a statistical treatment of the segmental configurations, we
assume that the orientational order for each chain segment i, relative to the local director frame N, can be
described by a mean-field orientational potential (potential of mean
torque), denoted by U(
IN(i)). In what
follows, we absorb the superscript i and the subscripts IN for clarity, and consider the series expansion of the
mean-torque potential U(
) in terms of Legendre
polynomials,
|
(19)
|
It should be remarked that the above decomposition includes both
even and odd parity terms. In particular, the presence of a
nonvanishing odd term is a consequence of tethering of the acyl chains,
within a given monolayer, to the aqueous interface (Halle, 1991
; Trouard et al., 1992
). The energy
parameters U1 and U2
depend upon various factors such as the chain position i,
temperature, pressure, and hydration level. Mathematically,
U1 and U2 are the moments
of the function U(
) in terms of the Legendre
polynomials. Note that U(
) completely specifies the
distribution function f(
), and hence all the moments
Pj(cos
)
. The functional form of the
distribution function is given by the Boltzmann factor, leading to
|
(20)
|
with the partition function Z being
|
(21)
|
(Note that the orientational potential U(
) is
defined up to a
-independent additive term, and this fact should be
taken into account in free energy calculations.) For convenience
of notation, we introduce the following dimensionless parameters:
|
(22)
|
|
(23)
|
|
(24)
|
Given the orientational preference of the lipid chains, this
particular choice for the sign makes
1 a positive
quantity for the upper monolayer, i.e., the chain segments in the upper monolayer have mostly positive projections on the bilayer normal (see
Fig. 4). The opposite is true for the lower monolayer, because the two
monolayers are related by inversion (Trouard et al.,
1994
). Using the above notations, we can rewrite Eq. 21 up to
second order as
|
(25)
|
It is useful to note the features of the probability distribution
generated by U(x) (called the singlet orientational
distribution function), namely
|
(26)
|
as a function of the mean-torque parameters
1 and
2. For the analysis of 2H NMR data, we are
interested in the ensemble averages
x
and (3
x2
1)/2, which are precisely the
Legendre coefficients (moments) of the orientational distribution
f(x). Figure 5 shows
semilogarithmic plots of f(x) for an odd-rank parameter
1 = 3 (a typical value for the lipids considered)
and three different values for the even-rank parameter
2. A positive
2 increases the probability at x = ±1 versus
2 = 0. In
particular, the increase around x =
1 corresponds to
the presence of chain end "upturns" (Nagle, 1993
),
as measured experimentally by Nuclear Overhauser Effect NMR
spectroscopy (Xu and Cafiso, 1986
; Huster et al.,
1999
) and observed in molecular dynamics simulations
(Petrache et al., 1999
; Feller et al.,
1999
). Conversely, a negative
2 gives rise to a
maximum of f(x), as shown in Fig. 5, that shifts from
x = 1 toward x = 0 as the absolute
magnitude of
2 increases (not shown). This models the
situation when the most probable segment orientation is tilted (i.e.,
x
1) relative to the local z-axis. We
emphasize that one should make a distinction between the most probable
tilt and the average tilt
x
, the latter being
generally smaller in magnitude than the former (see Pastor et
al., 1988
, 1990
, on lipid "wobbling" motion). This fact is
a direct consequence of the strong asymmetry of f(x) about
x
, and, as we show later, it plays a major role in the
calculation of the area per lipid.

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FIGURE 5
Semilogarithmic plots of orientational distribution
f(x) of the chain segment tilt x cos .
Results are shown for an odd-rank parameter of 1 = 3 and even-rank parameter of 2 = 2, 0, and 2. The
2 > 0 case models upturns, whereas
2 < 0 models the case when the point of maximum
probability shifts away from x = 1.
|
|
For a complete description of the orientational potential
U(x), one would like to determine the mean-torque parameters
1,
2, ... , from which thermodynamic
quantities can be calculated. Equivalently, the orientational
distribution function f(x) can be completely reconstituted
if one knows all its moments
|
(27)
|
In practice, the 2H NMR observables give only the
second-rank moment
x2
, via its
relationship with the SCD order parameter,
|
(28)
|
which is obtained from Eq. 17 assuming a negligible contribution
from order director fluctuations. With only one available constraint,
i.e., the value of
x2
, the two parameters,
1 and
2, cannot be determined
independently; rather, one finds a set of solutions in the
(
1,
2) plane. Such solutions, obtained
numerically, using Eqs. 25-28, are presented in Fig.
6 a for
SCD values within the experimental range.

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FIGURE 6
(a) Curves of constant
SCD in the ( 1, 2)
plane, obtained by solving Eq. 27 for k = 1 and
k = 2 self-consistently. (b) Dependence of
x on 2 for given values of
SCD. Because the acyl chains are tethered to the
water interface, the 1 term in the orientational
distribution function f(x) is dominant, especially for the
initial segments (plateau). In consequence, the region
2 > 1 is excluded as explained in
the text. Part (b) shows that, for large enough
|SCD| values (plateau region), the value of
x is practically independent of 2.
|
|
For the analysis of the acyl chain average structure, we seek to
determine the average segment projection
x
, i.e., the
first moment of f(x), given the second moment
x2
, for all segments along the chain
(Jansson et al., 1992
). As found in molecular dynamics
simulations (Petrache et al., 1999
), the distributions
f(x) are all reasonably well modeled by simple exponential
functions, meaning that the
1 term is the dominant term.
We can therefore consider that, in general, |
2| <
1, which is especially true for the plateau segments,
which are closer to the water interface and therefore feel a stronger
restoring potential. The excluded region |
2| >
1 is indicated in Fig. 6 by the gray area. The solutions
in Fig. 6 a correspond to the quantity of interest, namely
x
, which is shown in Fig. 6 b as a
function of
2 for the given values of
SCD. Again, the figure emphasizes the allowed
region |
2| <
1. We observe that, for large values of SCD corresponding to the plateau
region in the 2H NMR profiles, the first moment
x
is almost insensitive to
2, as
revealed by the plateau regions of
x
in the vicinity of
2 = 0. This is an important aspect, because it
justifies the use of an
2 = 0 model for the
treatment of plateau carbons. Therefore, as a first approximation, we
can set
2 = 0 when SCD is
safely large, and, in this way, eliminate one unknown variable. The
only unknown variable left is
1, which can now be
uniquely determined for each given SCD by
solving Eqs. 25-28 self-consistently (intersection of the constant
SCD curves in Fig. 6 a with the
vertical dashed line at
2 = 0). We will call this
the first-order mean-torque model (MT), because it only involves the
first term in the Legendre expansion of the mean-torque potential (Eq. 19). In the framework of this model, from each measured
SCD(i), one finds the corresponding
mean-torque parameter
1(i), assuming that
2(i) = 0. The average chain projections
x(i)
are then calculated using the values
of
1(i) obtained in this way. Note that we have
reintroduced the chain segment index i to emphasize that the
mean-torque parameter
1(i) depends on chain position.
The first-order mean-torque model
Basically, this is the model proposed by Petrache et al.
(1999)
for the analysis of simulated order parameter profiles.
Given the second moment
x2