Jaime Agudo-Canalejo1, Pierre Illien2, Ramin Golestanian1,3. 1. Department of Living Matter Physics, Max Planck Institute for Dynamics and Self-Organization, D-37077 Göttingen, Germany. 2. Sorbonne Université, CNRS, Laboratoire Physicochimie des Electrolytes et Nanosystèmes Interfaciaux (PHENIX), UMR 8234, 4 place Jussieu, 75005 Paris, France. 3. Rudolf Peierls Centre for Theoretical Physics, University of Oxford, Oxford OX1 3PU, United Kingdom.
In a recent
study[1] published in Langmuir, Mandal
and Sen claim to propose a “new” kinetic model to analyze
the directional movement of enzyme molecules in response to a gradient
of their substrate, with the supposedly new prediction that net movement
occurs up the substrate gradient when the diffusivity of the substrate-bound
enzyme is lower than that of the unbound enzyme and movement occurs
down the substrate gradient when the diffusivity of the substrate-bound
enzyme is higher than that of the unbound enzyme. In this Comment,
we point out that the same result and prediction (with an identical
derivation) were already obtained by us as one of the central results
in ref (2), whose abstract
indeed states that we found “a new type of [chemotactic] mechanism
due to binding-induced changes in the diffusion coefficient of the
enzyme” which “points toward lower substrate concentration
if the substrate enhances enzyme diffusion and toward higher substrate
concentration if the substrate inhibits enzyme diffusion.”This would not require any additional explanation had Mandal and
Sen been unaware of our work because the rediscovery of known phenomena
is a common-enough occurrence in science. However, Mandal and Sen
repeatedly cite and discuss ref (2), widely misrepresenting it and falsely claiming (in order
of appearance) that our approach• “[assumes] that the effective diffusivity
of the protein is the weighted average of the diffusivity of free
and bound protein”;• “[does
not make] a distinction between
the mass fluxes of the free and the bound protein”;• “is in contrast with [their
approach]”;• “fails
to recognize the gradients of
the free and bound protein that are created because of the presence
of the ligand gradient”;•
“seriously underestimates the chemotaxis
of the protein when there is no initial gradient of the protein in
the system”; and• “[ignores]
two terms that are incorporated
in [their eq 6]”As we show below,
the derivation and, consequently, the central
result (eq 6) of Mandal and Sen are identical to
those in ref (2); therefore,
all of their claims listed above are unjustified.We begin by
noting that our derivation in ref (2) starts from a fully stochastic
description of the enzyme and substrate molecules and furthermore
includes the possibility of hydrodynamic and nonspecific enzyme–substrate
interactions. After making a mean field approximation for the substrate
concentration, it is shown that the combination of nonspecific and
hydrodynamic interactions results in an additional phoretic mechanism for chemotaxis that is not taken into account by Mandal
and Sen. The results of Mandal and Sen are therefore a special case
of our results (corresponding to setting e = c = 0 in
eqs 6, 7, and 15 of ref (2)). In what follows, we discuss only this special case.The
equivalence in notation between our work[2] and Mandal and Sen’s[1] is summarized
in Table , and the
equivalence between equations, which for the purpose
of this Comment we will number (I–IV), is summarized in Table . By simply contrasting
the versions of (I), (II), and (III) in ref (1) with those of ref (2), it is obvious that they
are manifestly identical. Because (IV), which is the central result
in both works, is directly derived from (I–III) in exactly
the same way in both works, it must necessarily be identical in both
works as well. Any illusory perception of Mandal and Sen’s
results being different from ours must thus come from the way that
(IV) is presented in each case.
Table 1
Equivalence Table
for Notation
meaning
ref [1]
ref [2]
free
enzyme concentration
cA
ρe
enzyme–substrate
complex concentration
cAB
ρc
total enzyme concentration
cAT = cA + cAB
ρetot = ρe + ρc
substrate concentration
cB
ρs
free
enzyme diffusion coefficient
DA
De
enzyme–substrate
complex diffusion coefficient
DAB
Dc
substrate binding rate
k1
kon
substrate
unbinding rate
k–1
koff
dissociation constant
Kd = k–1/k1
K = koff/kon
Table 2
Equivalence Table for Equations
meaning
ref [1]
ref [2]
(I)
evolution of free enzyme
concentration
eq 2
eq 6
(II)
evolution of enzyme–substrate
complex concentration
eq 3
eq 7
(III)
assumption of instantaneous
local binding equilibrium
eq 5
eq 11
(IV)
evolution of total enzyme
concentration
eq 6
eqs 13–16
In ref (2), we presented
(IV) aswith the definition of an effective, substrate-concentration-dependent
diffusion coefficientand a binding-induced chemotactic velocityEquation here has the advantage of being written in
a canonical form,
with the total enzyme flux being cleanly split into a Fickian diffusion
flux and an advective,
chemotactic flux . In particular, in the absence of substrate
gradients, the latter chemotactic flux vanishes and one is left with
Fickian diffusion only.The result for (IV) of Mandal and Sen[1] is identical to this one but is just presented
in a noncanonical
form that mixes diffusive and chemotactic fluxes. Indeed, by inserting
the expressions for D() and bi() into eq and rearranging the gradient terms, one can trivially rewrite eq aswhich now makes it explicit that Mandal and
Sen’s result is identical to ours. This form of the equation
is not particularly transparent, however, because the second term
also contributes to diffusion and is nonzero even if the substrate
concentration is uniform in space.For completeness, we note
that there are other instructive ways
in which this same evolution equation can be written. For example,
in ref (3), we pointed
out that it can also be equivalently rewritten aswith D() given by eq , which implies that, in the absence of enzyme
sources
and sinks and in the presence of an externally maintained substrate
gradient, the enzyme concentration will reach a zero-flux stationary
state with , i.e., it will accumulate
in regions where
the effective diffusion coefficient is lowest.In summary, Mandal
and Sen[1] seem to
have misunderstood the results in ref (2), which are identical to theirs (although ref (2) additionally includes the
possibility of phoresis arising from nonspecific and hydrodynamic
interactions). Although in light of this the central message of Mandal
and Sen (i.e., that “relative diffusivities of bound and unbound
protein can control chemotactic directionality” as per the
title) is not new, we note that their work does bring some new and
interesting aspects to the literature, in particular, (i) the inclusion
of the catalytic step (with catalytic rate k2 in ref (1) and kcat in ref (2)) which was neglected in
ref (2) (by considering
the limit kcat ≪ koff) and (ii) their numerical simulation of the transient
kinetics in a setting that mimics a microfluidics experiment, which
moreover helps to ascertain the range of validity of the instantaneous
local binding equilibrium assumption.To finish, we note that
since the publication of ref (2) there have been some further
developments of the idea of chemotaxis resulting from binding-induced
changes in diffusivity. In refs (4) and (5),
it was shown that the same mechanism operates for nonrigid enzymes
or proteins that undergo shape fluctuations, in which case the binding-induced
changes in diffusion that cause chemotaxis can come not only from
changes in the average shape of the protein but also from changes
in the magnitude of its shape fluctuations. In ref (5), it was explicitly shown
that the competition between phoretic and binding-induced mechanisms
for chemotaxis can lead to the accumulation or depletion of enzymes
not just in regions of highest or lowest substrate concentration but
also in regions with an intermediate, tunable critical substrate concentration.
Finally, in ref (6) it was shown that a similar mechanism for chemotaxis due to changes
in diffusivity operates in the case of oligomeric proteins that can
reversibly associate and dissociate into monomers. Such oligomeric
proteins spontaneously accumulate in regions in which the oligomeric
(slowly diffusing) form is most stable, a process called “stabilitaxis”.