dna A quantum mechanical model of adaptive mutation

210 J. McFadden, J. Al-Khalili : BioSystems 50 (1999) 203–211




210 J. McFadden, J. Al-Khalili : BioSystems 50 (1999) 203–211


A quantum mechanical model of adaptive mutation
Johnjoe McFadden a,*, Jim Al-Khalili b
a Molecular Microbiology Group, School of Biological Sciences, Uni6ersity of Surrey, Guildford, Surrey GU2 5XH, UK
b Department of Physics, Uni6ersity of Surrey, Guildford, Surrey GU2 5XH UK
Received 10 August 1998; accepted 15 January 1999
Abstract
The principle that mutations occur randomly with respect to the direction of evolutionary change has been
challenged by the phenomenon of adaptive mutations. There is currently no entirely satisfactory theory to account for
how a cell can selectively mutate certain genes in response to environmental signals. However, spontaneous mutations
are initiated by quantum events such as the shift of a single proton (hydrogen atom) from one site to an adjacent one.
We consider here the wave function describing the quantum state of the genome as being in a coherent linear
superposition of states describing both the shifted and unshifted protons. Quantum coherence will be destroyed by the
process of decoherence in which the quantum state of the genome becomes correlated (entangled) with its surroundings.
Using a very simple model we estimate the decoherence times for protons within DNA and demonstrate that quantum
coherence may be maintained for biological time-scales. Interaction of the coherent genome wave function with
environments containing utilisable substrate will induce rapid decoherence and thereby destroy the superposition of
mutant and non-mutant states. We show that this accelerated rate of decoherence may significantly increase the rate
of production of the mutated state. © 1999 Elsevier Science Ireland Ltd. All rights reserved.
Keywords: Adaptive mutations; Quantum coherence; Wave function
1. Introduction
Neo-Darwinian evolutionary theory is founded
on the principle that mutations occur randomly,
and the direction of evolutionary change is provided
by selection for advantageous mutations.
However the central tenet, that mutations occur
randomly, has recently been challenged by the
finding of the phenomenon termed adaptive or
directed mutation. This type of mutation was
initially detected when a non-fermenting strain of
Escherichia coli was plated onto rich media containing
lactose. In experiments described by
Cairns et al. (1988), papillae of lac lactose-fermenting
mutants arose over a period of several
weeks yet mutations that did not confer any selec-
* Corresponding author.
E-mail addresses: j.mcfadden@surrey.ac.uk (J. McFadden),
j.al-khalili@surrey.ac.uk (J. Al-Khalili)
0303-2647:99:$ - see front matter ©

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204 J. McFadden, J. Al-Khalili : BioSystems 50 (1999) 203–211
tive advantage did not appear during the incubation.
In parallel experiments lac mutants arose
at much lower frequencies in the absence of lactose.
Adaptive mutations have since been reported
in other bacteria and eukaryotes, as reported by
Hall (1990, 1991, 1995, 1997, 1998), Foster and
Cairns (1992), Wilke and Adams (1992), Steele
and Jinks Robertson (1992), Rosenberg et al.
(1994). Although some of the earlier observations
have been called into question by more recent
experiments by Foster (1997) and Prival and Cebula
(1996), they remain a very controversial and
hotly debated phenomenon. Adaptive mutations
differ from standard mutations in that (i) they
only occur in cells that are not dividing or dividing
only rarely, (ii) they are time-dependent not
replication-dependent, (iii) they appear only after
the cell is exposed to the selective pressure. There
is, therefore, no entirely satisfactory theory to
account for how a cell can selectively mutate
certain genes in response to environmental signals.
Hall (1997) has commented in a recent paper
that ‘ . . . the selective generation of mutations by
unknown means is a class of models that cannot
and should not, be rejected’.
As initially proposed by Delbruck et al. (1935)
and Schro¨dinger (1944) and Watson and Crick
(1953), spontaneous mutations are initiated by
quantum jump events such as tautomeric shifts in
single protons of DNA bases. Lowdin (1965),
Topal and Fresco, (1976), Matsuno, (1992, 1995),
Cooper (1994), Florian and Leszczynski (1996)
and Rosen (1996) have proposed that the living
cell may act as a quantum measurement device
that monitors the state of its own DNA. Home
and Chattopadhyaya (1996) suggested that DNA
may persist as a superposition of mutational
states in a biomolecular version of Schro¨ dinger’s
cat paradox. Goswami and Todd (1997) and
Ogryzko (1997) have recently proposed that adaptive
mutations may be generated by environmentinduced
collapse of the quantum wave function
describing DNA in a superposition of mutational
states. For such a mechanisms to be feasible, the
evolving DNA wave function must remain coherent
for long enough for it to interact with the
cell’s environment. We here investigate this possibility
by modelling a specific mutational process
involving quantum tunnelling and estimate the
rate of decoherence for the coding protons initiating
mutational events within DNA. We demonstrate
that DNA coding information may remain
coherent for biologically feasible periods of time.
We show that the strength of coupling between
the DNA wave function and its environment has
the potential to accelerate the rate of decoherence
and thereby enhance mutation rates to cause
adaptive mutations.
2. Model and results
2.1. Initiation of mutations
For ease of analysis, we will consider a population
of c cells each with a genome containing two
genes A and B which, under non-adaptive conditions
in the stationary phase, mutate to mutant
alleles a and b at approximately the same rate, P,
per unit time interval per gene. Lowdin (1965)
pointed out that genetic information is encoded
by a linear array of protons and proposed a
model for generation of mutations involving base
tautomers, in which a base substitution is caused
by (1) generation of a tautomeric form of a DNA
base in the non-coding strand of a gene by a
single proton shift between two adjacent sites
within the base (e.g. keto guanine“enol guanine),
(2) incorporation of an incorrect base into
the coding strand due to anomalous base-pairing
of the tautomeric form (e.g. enol guanine:keto
thymine), during repair-directed DNA synthesis
in non-growing cells to cause a transition mutation
C“T. Subsequent transcription and translation
of the mutant form of the gene will result in
expression of the mutant phenotype.
The Lowdin two-step model for generation of a
mutations is initiated by a quantum tunnelling
process of an H-bonded proton between two adjacent
sites within base pairs (Lowdin, 1965). Thus,
at any given time the state of the proton must be
described as a wave function which is a linear
superposition of position states in which the proton
has either tunnelled or not tunnelled.
Fproton a Fnot tun. b Ftun. (1)


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where a and b are complex numbers describing
the amplitude of the not tunnelled and tunnelled
states, respectively.
During DNA replication, the wave function
will evolve to incorporate both the correct
base (C for Fnot tun. ) and the incorrect base (T
for Ftun. ) as a linear superposition of the unmutated
and mutated states of the daughter DNA
strand. The daughter DNA strand will be described
by a wave-function CG that consists of a
superposition of the unmutated and mutated
states:
CG a Fnot tun. C b Ftun. T (2)
The wave function will continue to evolve as
the coding strand (containing either C or T at
locus) is transcribed and translated resulting in a
wild-type and mutant form of the protein, say
lacZ containing an arginine“histidine amino
acid substitution that results in a lac “lac
mutation in cells plated onto media without lactose)
such that the cell may be described as a
linear superposition of the unmutated and mutated
states:
Ccell a Fnot tun. C Arg b Ftun. T His
(3)
The time taken for the cell to reach this state
after the initial mutational event (proton tunnelling)
can be estimated. The mutational process
involving DNA repair is likely to be relatively
rapid (DNA polymerase incorporates nucleotides
at a rate of about 500–1000 nucleotides per second).
Emergence of the mutant phenotype via
coupled transcription:translation will be limited
by the slower rate of translation, estimated as
about 20 amino acid residues per second for E.
coli ribosomes, as described by Alberts et al.
(1994). We estimate that E. coli would reach
the mutant state in a time somewhere between 1
and 100 s (depending on the size of protein) after
the tunnelling event. A key part of our proposal
is that this is a feasible period of time for superpositions
of quantum states to be maintained within
a living cell. We will next examine this proposition.
3. Decoherence
The role of the interaction between a quantum
system and its environment, and the transition
from quantum to classical reality, has been a
subject of increasing interest in physics over the
last few years. The emergence of classical behaviour
from quantum dynamics can be traced
back to the measurement problem in quantum
mechanics as analysed by the mathematician Von
Neumann (1932). In its simplest form, a measurement
is carried out on a quantum system in a
superposition of two states. Initially, the system is
in a pure state, but its surroundings (the environment)
act as a quantum detector that interacts
with the system. This coupling between system
and detector results in a correlated (or entangled)
state in which the superposed system becomes
entangled with its surroundings that must then
also exist as a superposition. Formally, this correlation
between the possible states of the system
and those of the environment is expressed in
terms of a density matrix that contains information
about the alternative outcomes of the measurement.
In particular, it will contain off
diagonal terms that are responsible for the nonclassical
behaviour (interference effects). Von
Neumann postulated that the process of ‘measurement’
occurs via an ad hoc ‘reduction of the state
vector’ in which the density matrix is reduced to
one that no longer contains the off diagonal terms
but only those diagonal terms that correspond to
possible classical outcomes (e.g. Schro¨ dinger’s cat
which is either dead or alive but not in a state that
is in a superposition of both dead and alive). The
standard (Copenhagen) interpretation of quantum
mechanics considers that a quantum state will
remain as a superposition until a measurement is
made by a conscious observer, forcing the system
to choose a single classical state and thereby
‘collapse’ the wave function. This interpretation
would therefore have no problem with the concept
of quantum superpositions of complex biological
systems; the entire bacterial cell could exist
as a microbial variant of the famous ‘Schro¨dinger
cat’ superposition. More recently, Zurek (1991)
and others have suggested that wave-function collapse
is determined entirely by the dynamics of

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the quantum system and its interaction with the
environment. These models predict that coherent
superpositions of quantum states will decohere
into a statistical ensemble of macroscopically distinguishable
(classical) states whenever the system
reaches a critical degree of complexity or interacts
with a complex environment. Essentially, the numerous
interactions between the system and its
environment cancel out all of the interference
terms (that lead to non-classical behaviour) in the
Schro¨dinger equation governing the dynamics of
the system. The environment here means anything
that can be affected by the quantum system and
hence gain information about its state. The environment
is hence constantly monitoring the system.
The claim being made in this paper is that
living cells can themselves form unique quantum
measuring devices that probe individual quantum
processes going on in their interior.
The difficulty with trying to compute the decoherence
time scale is that we need to define a
suitable measure of the effectiveness of the process
of decoherence. One of the most popular
models is to take the quantum system to be a
single particle moving in one dimension while the
environment is a ‘heat bath’ modelled as a set of
harmonic oscillators. In such a model, the effect
of the environment is related to the number density
of oscillators with a given frequency and to
the strength of the coupling between these oscillators
and the system. Within this simple model,
Zurek (1991) has derived an expression for the
decoherence time scale over which quantum coherence
is lost. If a system of mass m is in a
superposition of two position states (modelled as
two Gaussian wave packets) separated spatially
by a distance Dx then the decoherence time, tD, is
defined to be:
tD tR
lT
Dx
2
(4)
where lT '
2mkBT, is the thermal de Broglie
wavelength that depends only the temperature T
of the surrounding environment and for a proton
at 300 K works out as 0.27A°
. The relaxation time
tR, is the time taken for the wave packets to
dissipate the energy difference between the coherent
states. The separation of protons, Dx, between
enol and amine states for a DNA base is about
0.5 A°
. Therefore,
tD 0.29tR (5)
Quantum coherence would be expected to persist
for approximately one quarter of the relaxation
time. The relaxation time is a measure of the
speed of energy dissipation due to interaction of
the proton with particles in its immediate environment.
This is unknown for coding protons in
DNA within living cells. However, some measure
of the possible range of energy dissipation times
for protons in living systems may be gained from
examination of proton relaxation rates in biological
materials, as measured by nuclear magnetic
resonance (NMR). In NMR, a pulse of electromagnetic
radiation is used to perturb the magnetic
dipole moment of nuclei aligned in a magnetic
field. The pulse causes the nuclei to process coherently
about the direction of the applied electromagnetic
field. After the pulse of the field, the
protons return to their ground state by exchanging
energy with the atoms and molecules in their
environment. The NMR spin–latice relaxation
time T1, gives a measure of the rate of this energy
loss to the environment. Agback et al. (1994)
measured NMR proton relaxation rates (T1) in
DNA oligomers in solution and obtained values
ranging from milliseconds to seconds. NMR T1
values have also been measured for living cells
and tissue as reported by Beall et al. (1984) and
range from milliseconds to many seconds. E. coli
cells have a T1 relaxation time of 557 ms. Although
the exact relationship between the NMR
T1 value and the relaxation rate tR of Eq. (4) is far
from clear, they are both a measure of the rate of
energy exchange between a proton and its environment.
In fact, it should be remembered that
NMR-based proton relaxation rates relate to the
bulk of protons in living tissue that are mostly
associated with water. Proton relaxation times for
protons within much more constrained structures
such as DNA are likely to be much longer but are
currently unknown. Also, for protons existing as a
superposition of DNA base tautomeric position
states, an energy barrier exists between the two
states, which stabilise the energy difference
against dissipation. We therefore conclude that
the quantum system and its interaction with the
environment. These models predict that coherent
superpositions of quantum states will decohere
into a statistical ensemble of macroscopically distinguishable
(classical) states whenever the system
reaches a critical degree of complexity or interacts
with a complex environment. Essentially, the numerous
interactions between the system and its
environment cancel out all of the interference
terms (that lead to non-classical behaviour) in the
Schro¨dinger equation governing the dynamics of
the system. The environment here means anything
that can be affected by the quantum system and
hence gain information about its state. The environment
is hence constantly monitoring the system.
The claim being made in this paper is that
living cells can themselves form unique quantum
measuring devices that probe individual quantum
processes going on in their interior.
The difficulty with trying to compute the decoherence
time scale is that we need to define a
suitable measure of the effectiveness of the process
of decoherence. One of the most popular
models is to take the quantum system to be a
single particle moving in one dimension while the
environment is a ‘heat bath’ modelled as a set of
harmonic oscillators. In such a model, the effect
of the environment is related to the number density
of oscillators with a given frequency and to
the strength of the coupling between these oscillators
and the system. Within this simple model,
Zurek (1991) has derived an expression for the
decoherence time scale over which quantum coherence
is lost. If a system of mass m is in a
superposition of two position states (modelled as
two Gaussian wave packets) separated spatially
by a distance Dx then the decoherence time, tD, is
defined to be:
tD tR
lT
Dx
2
(4)
where lT '
2mkBT, is the thermal de Broglie
wavelength that depends only the temperature T
of the surrounding environment and for a proton
at 300 K works out as 0.27A°
. The relaxation time
tR, is the time taken for the wave packets to
dissipate the energy difference between the coherent
states. The separation of protons, Dx, between
enol and amine states for a DNA base is about
0.5 A°
. Therefore,
tD 0.29tR (5)
Quantum coherence would be expected to persist
for approximately one quarter of the relaxation
time. The relaxation time is a measure of the
speed of energy dissipation due to interaction of
the proton with particles in its immediate environment.
This is unknown for coding protons in
DNA within living cells. However, some measure
of the possible range of energy dissipation times
for protons in living systems may be gained from
examination of proton relaxation rates in biological
materials, as measured by nuclear magnetic
resonance (NMR). In NMR, a pulse of electromagnetic
radiation is used to perturb the magnetic
dipole moment of nuclei aligned in a magnetic
field. The pulse causes the nuclei to process coherently
about the direction of the applied electromagnetic
field. After the pulse of the field, the
protons return to their ground state by exchanging
energy with the atoms and molecules in their
environment. The NMR spin–latice relaxation
time T1, gives a measure of the rate of this energy
loss to the environment. Agback et al. (1994)
measured NMR proton relaxation rates (T1) in
DNA oligomers in solution and obtained values
ranging from milliseconds to seconds. NMR T1
values have also been measured for living cells
and tissue as reported by Beall et al. (1984) and
range from milliseconds to many seconds. E. coli
cells have a T1 relaxation time of 557 ms. Although
the exact relationship between the NMR
T1 value and the relaxation rate tR of Eq. (4) is far
from clear, they are both a measure of the rate of
energy exchange between a proton and its environment.
In fact, it should be remembered that
NMR-based proton relaxation rates relate to the
bulk of protons in living tissue that are mostly
associated with water. Proton relaxation times for
protons within much more constrained structures
such as DNA are likely to be much longer but are
currently unknown. Also, for protons existing as a
superposition of DNA base tautomeric position
states, an energy barrier exists between the two
states, which stabilise the energy difference
against dissipation. We therefore conclude that

page 207

relaxation times for coding protons within a DNA
double helix are likely to be of the order of
seconds which, from Eq. (5), implies that quantum
coherence may be maintained for a sufficient
lengthy period of time (1–100 s or longer) to
allow the cell to evolve into a superposition of
mutated and non mutated states.
4. Accelerated decoherence by the environment for
mutant states
If the linear superposition of the cell is maintained,
then the cell’s wave-function Ccell will
eventually couple with the lactose present in the
environment. It is at this stage that there is a
crucial difference between the same mutation under
adaptive and non-adaptive conditions (Fig. 1).
In conditions in which the mutation is not
adaptive (e.g. when the cells are plated on media
without lactose), then the two components of the
above wave equation (mutant and non-mutant
states) are indistinguishable by the cell. DNA,
RNA and protein will differ only at single
residues and, therefore, only involve relatively
small-scale atomic displacements for very small
numbers of particles. We propose that under these
conditions, quantum coherence persists within the
cell for a relatively long period of time, tD1, before
decoherence intervenes to precipitate the emergence
of classical mutant and non-mutant states
(Fig. 1(a)). Mutants will therefore accumulate
with time, at a rate proportional to 1:tD1.
However, if the mutation is adaptive (e.g.
lac “lac in cells plated onto lactose media),
then the mutant cell will be able to utilise lactose
to provide energy for growth and replication. The
cell’s wave function Ccell will couple with the
lactose.
Ccell a Fnot tun. C Arg lactose
b Ftun. T His lactose (6)
Since a single enzyme molecule can hydrolyse
many thousands of substrate molecules, then the
mutation will rapidly cause changes in position
for many millions of particles within the cell. The
superposition of proton position states can no
longer be considered in isolation but must include
position shifts for many millions of particles
within the cell. This will cause almost instantaneous
decoherence, as can be seen by reference to
Eq. (4). If, instead of a single proton of mass
1.6 10 27 kg, the superposition is estimated to
include just 106 protons (a very conservative estimate
of the number of shifted particles in conditions
wherein lactose is hydrolysed) with a total
mass of 1.6 10 21 kg, then the de Broglie wavelength
(lT '
2mkBT) reduces to 0.0018 A°
. If
each particle experiences a position shift of 0.5 A°
,
then decoherence time, tD2, is reduced to 1.3
10 5tR. When a superposition of states involves a
large mass then the environment causes rapid
decoherence of the states. Once the mutation couples
with the environment then the superposition
of alternative states described by Eq. (6) will
decohere into the familiar classical states of mutant
and non-mutant cells after the relatively
short period of time, tD2:
a Fnot tun. C Arg lactose
b Ftun. T His lactose
“ Fnot tun. C Arg lactose
or Ftun. T His lactose (7)
Cells that collapse into the non-mutant state
will be however remain at the quantum level.
Their coding protons will again be free to tunnel
into the tautomeric position and evolve to reach
the superposition of mutant and non-mutant
states, as described by Eq. (1). However, any cell
that decoheres into the mutant state will grow and
replicate into a bacterial colony. Environment-induced
decoherence will precipitate the emergence
of mutant states, but at a rate tD2 which will be
much less than tD1, the time for decoherence in
the absence of lactose. Under adaptive conditions,
the mutant state (and of course only mutants that
can grow on lactose—adaptive mutations—will
grow) will precipitate out of the quantum superposition
at a high rate, relative to their rate of
generation in non-adaptive conditions. The increased
rate, due to enhanced environmental coupling,
will be proportional to the ratio of the two
decoherence times: tD1:tD2. Mutations will occur
more frequently under conditions where they allow
the cell to grow—adaptive mutations.


page 208

more frequently under conditions where they allow
the cell to grow—adaptive mutations.
5. Dicussion
All biological phenomena involve the movement
of fundamental particles such as protons or
electrons within living cells and as such, are properly
described by quantum rather than classical
mechanics. Physicists have long been aware of this
fact but its implications have not been fully explored
in biology. Frolich, (1970), Frolich (1975)
and Penrose (1995) have proposed that quantum
phenomena occur in biological systems. Both proton
and electron tunnelling are thought to be
involved in enzyme action and mutation (Topal
and Fresco, 1976; Cooper, 1994) and electron
tunnelling is thought to be involved in electron
transport in respiration and photosynthesis. Gider
et al. (1995) claimed to detect quantum coherence
effects within the ferritin protein. Schro¨dinger
(1944) proposed that ‘The living organism seems
to be a macroscopic system which in part of its
behaviour approaches purely mechanical (as contrasted
to thermodynamical) behaviour to which
all systems tend as the temperature approaches
the absolute zero and the molecular disorder is
removed’. By reference to temperatures near absolute
zero (at which all dynamics become quantum
mechanical), Schro¨dinger implies that the behaviour
of living organisms approaches quantum
mechanical behaviour. More recently, Home and
Chattopadhyaya (1996) suggested that DNA may
persist as a superposition of mutational states in a
biomolecular version of Schro¨ dinger’s cat paradox.
The components of living cells may therefore
maintain an ordered structure that is compatible
with retention of quantum coherence at much
higher temperatures than those that would be
expected to destroy the quantum state of inanimate
systems.
Living organisms are not of course unique in
being composed of fundamental particles. What is
unique is that the coupling between fundamental
particles and the environment of living cells enables
their macroscopic behaviour to be determined
by quantum rather than classical laws. As
Schro¨dinger pointed out in his 1944 essay, statistical
laws such as thermodynamics dominate all
other natural phenomena. For instance, the motion
of particles that govern the action of heat
engines, chemical engines or electrical engines is,
at the level of individual particles, entirely random
and incoherent. Slight statistical deviations
from randomness cause the macroscopic behaviour
associated with these devices. In modern
terminology, decoherence wipes out the quantum
phenomena going on at the microscopic level. In
contrast, the macroscopic behaviour of living cells
may be determined by the dynamics of individual
particles and thereby be subject to quantum,
rather than statistical laws. An example of such a
coupling between the macroscopic properties of
cells and individual particles is, as we describe
here, the entanglement that develops between the
dynamics of single particles within the DNA
molecule and mutations.
In our model, the motion of individual protons
within DNA bases becomes entangled with the
environment. In essence, the environment performs
a quantum measurement of the position of
the target proton. It is a well-established fact that
quantum measurement has the ability to influence
the dynamics of a quantum system. Indeed,
Heisenberg’s uncertainty principle guarantees that
a quantum measurement will always influence the
dynamics of a quantum system. The quantum
Zeno effect and the inverse quantum Zeno effect
are particularly striking examples of how measurement
can influence the dynamics of quantum
systems. In the quantum Zeno effect, continuous
measurement of a quantum system freezes the
dynamics of that system as described by Itano et
al. (1990) and Altenmuller and Schenzle (1994). In
the inverse quantum Zeno effect, a dense series of
measurements of a particle along a chosen path,
can force the dynamics of that particle to evolve
along that path, as described by Aharonov and
Vardi (1980) and Altenmuller and Schenzle
(1993).
In this study we choose to model a mutational
event that is initiated by a tautomeric proton shift
subject to quantum tunnelling effects, since this
model is mechanistically amenable to quantum
mechanical treatment. Naturally occurring muta


page 209
tions may be caused by a variety of mechanisms
including radiation-induced ionisation, UV-induced
pyrimidine dimer formation, chemical
modification by mutagens, and tautomer-induced
mis-pairing during DNA replication. Yet, all
these mutational mechanisms are initiated by
chemical modifications to the genetic code and
must therefore involve the adsorption and:or displacement
of fundamental particles (photons,
electrons, protons) within the DNA strand and
be subject to quantum mechanical effects.
The potential of quantum mechanics to influence
the macroscopic phenomenon of mutation
will depend on the ability of the system to remain
as a coherent quantum state throughout
the mutational process. Our estimates for decoherence
times for coding protons in DNA are
based on currently available information and are
necessarily preliminary but do demonstrate that
quantum mechanical dynamics might persist for
biologically feasible periods of time. Further data
in this area, particularly the use of physical techniques
such as NMR to attempt to detect quantum
effects in live tissue, are urgently needed.
We demonstrate in this paper that the dynamics
of particles that cause mutations may be entangled
with the environment of the living cell.
The complexity of that entanglement will be dependent
upon the composition of the environment.
In some circumstances (in our model,
absence of lactose) there will be only minimal
entanglement and the quantum superposition
may remain coherent for lengthy periods of time.
Under these circumstances, the environment will
not measure the position state of the target particle
and it will persists as a quantum superposition.
However, when lactose is added to the
environment then the state of the proton becomes
entangled with a much more complex environment
that causes rapid decoherence. In
effect, the environment performs a dense series
of measurements of the position state of the
target proton. As we discussed above, quantum
measurement will always influence the dynamics
of any quantum system being measured. We
demonstrate in our model that accelerated decoherence
caused by the presence of lactose, has
the potential to accelerate the generation of the
mutant state out of the quantum superposition.
This is precisely the phenomenon of adaptive
mutations. The phenomenon bears many similarities
to the inverse quantum Zeno effect, as described
by Aharonov and Vardi (1980) and
Altenmuller and Schenzle (1993), whereby a
dense series of measurements along a particular
path will force a quantum system to evolve along
that path.
In this paper we use a plausible physical model
to show that the coupling of the quantum state
representing the mutational event, with the environment
of the cell can enhance the probability
of that mutation. The model is compatible with
current physical theory and requires no new mutational
mechanisms. It projects natural selection
as acting within the framework of the evolving
genome wave function consisting of a superposition
of all possible mutational states available to
the cell. Coupling between the wave function and
the environment allows the cell to simultaneously
sample the vast mutational spectra as a quantum
superposition. An analogous situation is the concept
of quantum computing whereby the wave
function of a computer can exists as a quantum
superposition of many computations carried out
simultaneously, as described by DiVincenzo
(1995). Living cells could similarly act as biological
quantum computers, able to simultaneously
explore multiple possible mutational states and
collapse towards those states that provide the
greatest advantage.
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tions may be caused by a variety of mechanisms
including radiation-induced ionisation, UV-induced
pyrimidine dimer formation, chemical
modification by mutagens, and tautomer-induced
mis-pairing during DNA replication. Yet, all
these mutational mechanisms are initiated by
chemical modifications to the genetic code and
must therefore involve the adsorption and:or displacement
of fundamental particles (photons,
electrons, protons) within the DNA strand and
be subject to quantum mechanical effects.
The potential of quantum mechanics to influence
the macroscopic phenomenon of mutation
will depend on the ability of the system to remain
as a coherent quantum state throughout
the mutational process. Our estimates for decoherence
times for coding protons in DNA are
based on currently available information and are
necessarily preliminary but do demonstrate that
quantum mechanical dynamics might persist for
biologically feasible periods of time. Further data
in this area, particularly the use of physical techniques
such as NMR to attempt to detect quantum
effects in live tissue, are urgently needed.
We demonstrate in this paper that the dynamics
of particles that cause mutations may be entangled
with the environment of the living cell.
The complexity of that entanglement will be dependent
upon the composition of the environment.
In some circumstances (in our model,
absence of lactose) there will be only minimal
entanglement and the quantum superposition
may remain coherent for lengthy periods of time.
Under these circumstances, the environment will
not measure the position state of the target particle
and it will persists as a quantum superposition.
However, when lactose is added to the
environment then the state of the proton becomes
entangled with a much more complex environment
that causes rapid decoherence. In
effect, the environment performs a dense series
of measurements of the position state of the
target proton. As we discussed above, quantum
measurement will always influence the dynamics
of any quantum system being measured. We
demonstrate in our model that accelerated decoherence
caused by the presence of lactose, has
the potential to accelerate the generation of the
mutant state out of the quantum superposition.
This is precisely the phenomenon of adaptive
mutations. The phenomenon bears many similarities
to the inverse quantum Zeno effect, as described
by Aharonov and Vardi (1980) and
Altenmuller and Schenzle (1993), whereby a
dense series of measurements along a particular
path will force a quantum system to evolve along
that path.
In this paper we use a plausible physical model
to show that the coupling of the quantum state
representing the mutational event, with the environment
of the cell can enhance the probability
of that mutation. The model is compatible with
current physical theory and requires no new mutational
mechanisms. It projects natural selection
as acting within the framework of the evolving
genome wave function consisting of a superposition
of all possible mutational states available to
the cell. Coupling between the wave function and
the environment allows the cell to simultaneously
sample the vast mutational spectra as a quantum
superposition. An analogous situation is the concept
of quantum computing whereby the wave
function of a computer can exists as a quantum
superposition of many computations carried out
simultaneously, as described by DiVincenzo
(1995). Living cells could similarly act as biological
quantum computers, able to simultaneously
explore multiple possible mutational states and
collapse towards those states that provide the
greatest advantage.
References
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