Synthetic Biology Parts, Devices and Applications

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5.2 Functional Analysiss: aster Function and Helper Functions 83

The onset of DNA‐based technologies such as transfection of viral DNA into
cells [19] and genetic engineering [15], associated with recognition that horizon­
tal gene transfer made a considerable fraction of bacterial genomes [20], and
finally whole genome transplantation [21] was a turning point. They established
that the machine and the program are indeed separate entities, exactly as the
operating system (OS), and the computer can be physically told from one another
[10, 12]. It has been now possible to synthesize viral genomes in such a way that
they comply with a man‐made design [22, 23]. The statement found in rearguard
discussions that the comparison between cells and computers is not valid because
there is a considerable amount of information in the cell beside its genome can­
not be retained as a final argument. Indeed, the situation is exactly the same in
computers, human artifacts that fare well. Nobody would argue that the tablet or
the PC do not carry a considerable body of information. The proof is that a CD
carrying an OS is useless in the absence of the information carried by the machine
that runs it. Yet nobody would argue against the fact that computers work, pro­
vided they can read a support carrying a matching OS.
Of course, this is not the whole story: besides program and machine (the “chas­
sis” of SynBio specialists [24]), the cell, as the computer, needs to process energy,
a feature that is not implemented in the abstract ancestor of the computer, the
Turing machine. Furthermore, there is a need for construction and maintenance,
which implies fluxes of matter, a currency of reality that is also absent from the
purely informational Turing machine. In living organisms these essential func­
tions are fulfilled by metabolism. Life can be witnessed only when metabolic
fluxes can be measured, with “dormancy” labeling the limbo between life and
death. In summary, life combines a program, a machine reading and expressing
the program, and a metabolism managing matter and energy fluxes to run the
program in the machine. Finally, a living organism works through an ultimate
constraint: it must produce a progeny. Functions pertaining to that particular
process make the core of the present chapter. Using functional analysis to under­
stand the making of life, with emphasis on the processes just summarized, we
propose here a set of developments that emphasize the mutual interaction
between the program and the chassis, a setup essential to master for the future of
SynBio.


5.2 Functional Analysis: Master Function and Helper Functions


Functions


The success of genome transplantation into recipient hosts – the founding exper­
iment of next‐generation SynBio [25] – is allowing scholars to look into biology
with new eyes. To go further, we apply here the agenda of functional analysis
[4, 5] to cells considered as “machines” or “automata,” where a program can be
explicitly told from the machine that runs it (Figure 5.1). When trying to under­
stand how an organism can be fit for a particular niche, we first split its biological
functions into two functional categories, at least one master function and associ­
ated helper functions meant to achieve the target of the master function [26].

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