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Integrated Bioscience: Past, Present, and Future The dramatic discoveries, products, and solutions in bioscience in the last few decades cause many to characterize the 21st century as the “Century of Biology.” However, one must keep in mind that many of the discoveries and products of biological insights were possible because of new experimental techniques resulting from fundamental studies in physics and chemistry. Those studies have provided the basic discoveries that led to the major breakthrough in biology and emergence of new bio-related disciplines through better instrumentation, molecular separation processes, and automated experimentation. Bioinformatics developed out of mathematical principles and many other innovative biological products and processes were developed through engineering research and design. Therefore, it is more likely that the 21st century will be known as the era of integrated science, engineering, and innovative technology (Good 2002).
As noted by Lander and Weinberg (2000), the 21st century disciplines will focus increasingly on the study of entire biological systems, by attempting to understand how component parts collaborate to create a whole. This new approach promises a stunning breadth of perspective. At the same time, it threatens to inundate scientists with a flood of data that will be overwhelming to interpret. Powerful new types of bioinformatics will clearly be required to assimilate and interpret the data that will issue from various types of genomics and proteomics research. For example, structural data from x-ray crystallography usually provide only a static frozen view of a complex system, which may not reflect the in situ conformational details ( Schlick 2002). Neither does it include the effect of protein dynamics on the functions of proteins. Because of these difficulties, mathematical modeling and computational simulations have become invaluable tools to provide insights into the microscopic aspects of reactions involving proteins (Warshel 1991; Mulholland and Karplus 1996; Mulholland and Richards 1998; Villa and Warshel 2001). Analysis of the huge amount of genomic and proteomic data requires interdisciplinary expertise and close collaboration between biological scientists and computational scientists. Similar examples can be found in the related fields of bioengineering, biochemistry, and biophysics.
Sharp focus within a sub-discipline has made tremendous advances in the “parts catalog” of life. A narrow focus on selected aspects of larger issues is an efficient way to tease out the secrets of nature (Pearse 2003). At the same time, reductionist biology has failed to make significant progress in the study of complex systems (Savageau 1991). This is primarily because system dynamics often cannot be reduced to a linear causal model and many biological phenomena cannot be fully described without crossing the borders of biological hierarchies and associated sub-disciplines. As noted by the physiologist George Bartholomew (1964), each level of biological integration "offers unique problems and insights, and further, that each level finds its explanations of mechanisms in the levels below, and its significance in the levels above". Instead, most major advances in understanding complex systems have been made by interpreting results across levels of biological organization (molecular to ecosystem levels) and crossing the boundaries of disciplines. For example, Nobel-Prize winner Barbara McClintock did classical genetic research on corn in the 1940’s that led to the discovery of mobile genetic elements, or ‘jumping genes’. Application of her work has dramatically changed what we understand about molecular biology of cells, evolution of populations, and even introduction of genetically-modified organisms into the food chain. The 1980’s and early 1990’s were times of extraordinary advances in our understanding of the molecular aspects of biology. It is now apparent that molecular approaches to exploring complex biological systems will drive the next phase of scientific progress. The past decade has seen the ascendance of high-throughput methods for measuring the global expression of different components of the biological landscape--genomics, proteomics, and metabolomics. These "omics", however, cannot stand in isolation. A strong motivation for the human genome project was to relate biological features to the structure and function of small sets of genes, and ideally to individual genes. However, it is now increasingly realized that many problems require a "systems" approach, emphasizing the interplay of large numbers of genes and the involvement of complex networks of gene regulation.
Xanthidium, an algal desmid, from a plankton sample collected at Garden Pond at The University of Akron’s Field Station on the Bath Nature Preserve. Images taken with a digital light microscope. Integrated Bioscience: Modern Definition How do we define Integrated Bioscience? As defined by Wake (2003), integrative biology is both an approach to and an attitude about the practice of science. It seeks both diversity and incorporation. It deals with integration across all levels of biological organization, from molecules to the biosphere, and diversity across taxa, from viruses to plants and animals. It provides both a philosophy and a mechanism for facilitating science at the interfaces of "horizontally" arrayed disciplines, in both research and training. It finds appropriate techniques, often from unanticipated sources, and it makes appropriate, often novel, choices of taxa for observation and experimentation (so that it is not taxon-bound). It particularly stresses an approach to problems and questions from diverse perspectives, so that the explication of the research protocol has the potential to be innovative and integrative, as appropriate to the question(s) being addressed.
Bartholemew GA (1964) The roles of physiology and behavior in the maintenance of homeostasis in the desert environment. Symp Soc Exp Biol 18:7-29. |
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