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Information in biology has a quality that distinguishes it from information in chemistry and physics. It comes in encoded form and it is processed in a way that is closely related to information technology and computer science. Biological information is essentially stored in genotypes and transferred to future generation through inheritance, and less directly through epigenetic processes. Cellular metabolism is interpreted straighforwardly as information processing. Information is closely related to complexity: more complex things require more information to build and to operate. Any comprehensive understanding of biological phenomena requires an interpretation in evolutionary terms, as Theodosius Dobzhansky 4] pointed out in his famous phrase: \Nothing in biology makes sense except in the light of evolution". Understanding the complexity of biological systems is thus always incomplete if nothing is known about its origin. It is commonplace to state that complexity has increased in the evolution of the biosphere. Human societies after all are indisputably more complex than animal societies. Animals, plants, and fungi, being multicellular organisms, are more complex than single cells. Eukaryotic cells are more complex than prokary-otic cells, and a cell is more complex than a bag of biopolymer molecules. At the same time the eeective biological information, understood as genetic and epige-netic information, increases as the phenotypes become more complex in the above mentioned series from polynucleotide molecules to man. Information and complexity , however, do not seem to have gradually increased during the history of

How does complexity arise in evolution: Nature's recipe for mastering scarcity, abundance, and unpredictability