Biology Reference
In-Depth Information
(PEDE), since the left-hand sides of the arrows in Processes
4.10
and
4.11
can be
identified as equilibrium structures (
equilibrons
) and dissipative structures
It is possible for some non-equilibrium chemical systems to encode
dissipatons
into
equilibrons
.
(4.13)
Viewing species as dissipative structures (Brooks and Wiley 1986, p. 40) and
genomes as equilibrium structures, Statement 4.13 can logically be interpreted as
the
thermodynamic principle of biological evolution
(TPBE)
,
i.e., the thermody-
ously on this planet, in analogy to the Second Law which is the thermodynamic
principle that
disallows
the existence of the perpetual motion machines of the
second kind (Atkins 2007).
Molecular biology is replete with examples of the processes that support the reverse
of Statement 4.13, namely, the decoding of equilibrons (e.g., DNA sequences) into
dynamic patterns of concentration changes of molecules, i.e., dissipatons (e.g., RNA
trajectories in Fig.
12.2
). This allows us to formulate another principle to be called the
Principle of Decoding Equilibrons into Dissipatons (PDED):
It is possible for some non-equilibrium chemical systems to decode
equilibrons
into
dissipatons
.
(4.14)
Statements 4.13 and 4.14 can be combined into what may be termed the
“Principle of Dissipaton-Equilibron Transduction (PDET)”:
It is possible for some non-equilibrium chemical systems to interconvert
equilibrons
and
dissipatons
.
(4.15)
It seems logical to view Statement 4.15 as the
thermodynamic principle of
organisms
(TPO), since organisms are the only nonequilibrium thermodynamic
systems known that are equipped with mechanisms or molecular devices to carry
out the interconversion between equilibrons and dissipatons.
Since organisms can both
develop
and
evolve
, it is possible to derive Statements
4.16 and 4.17 as the corollaries of Statement 4.15:
Biological
evolution
results from non-equilibrium systems encoding dissipatons into
equilibrons. (4.16)
Biological
development
results from non-equilibrium systems decoding equilibrons into
dissipatons.
(4.17)
4.5 Synchronic Versus Diachronic Information
It is clear that the symbol string generated in Process
4.11
carries two kinds of
information which may be referred to as
synchronic
and
diachronic information
in
analogy to the
synchronic
and
diachronic
approaches in linguistics (Table
4.1
)
(Culler 1991). Synchronic information refers to the totality of the information that