The term system
refers to a group of parts or components that interact and that are dependent
upon one another to form a more complex whole. Researchers have adopted micro
or macro approaches to investigating systems. Biological scientists, when
looking at living organisms, have traditionally focused upon the individual
components of the organism. Not infrequently, they have intensively studied and
gathered as much information as possible, sometimes over a lifetime, on a
specific enzyme system, brain part, or photosynthetic pigment. This has been
referred to as a reductionist approach to scientific research: all the
information gathered on individual components is used to formulate a complete
description of the system, referred to as the “bottom-up” approach.
In 1968, the Austrian-born biologist Ludwig von
Bertalanffy proposed turning over the reductionist model 180 degrees and using
a “top-down” approach, which he referred to as a general system theory. The
basic elements of this theory are applicable to problems in many disciplines,
including engineering, the social sciences, and biology. Rather than adopting
the reductionist approach of studying individual components in isolation, in
systems biology researchers look at organisms as an integrated network of genes,
proteins, biochemical reactions, and physiological responses that give rise to
life. In systems biology, researchers approach all components and interactions
among those components as parts of a single system, with the interactions
responsible for the form and function of the entire system. Thus, the whole is
viewed to be greater than the sum of its parts.
Few individual biologists can fully understand a
complex biological system by exclusively using their specialized and relatively
circumscribed backgrounds to study individual components parts. Bertalanffy
envisioned systems biology as an integrated multidisciplinary study that called
upon the expertise of biologists, physicists, computer scientists,
mathematicians, and engineers. Such a systems approach might, for example, be
applied to construct mathematical models that predict the consequences of
climatic changes resulting from a reduction in rainfall on plant life, which
affects crop supply and, in turn, food supply for human consumption.
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