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The genome as a developmental organ

Journal of Physiology 592 (11):2237-2244 (2014)

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  1. Systems Thinking Versus Population Thinking: Genotype Integration and Chromosomal Organization 1930s–1950s.Ehud Lamm - 2015 - Journal of the History of Biology 48 (4):1-55.
    This article describes how empirical discoveries in the 1930s–1950s regarding population variation for chromosomal inversions affected Theodosius Dobzhansky and Richard Goldschmidt. A significant fraction of the empirical work I discuss was done by Dobzhansky and his coworkers; Goldschmidt was an astute interpreter, with strong and unusual commitments. I argue that both belong to a mechanistic tradition in genetics, concerned with the effects of chromosomal organization and systems on the inheritance patterns of species. Their different trajectories illustrate how scientists’ commitments affect (...)
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  • Two Sources of Knowledge: Origin and Generation of Knowledge in Maine de Biran and Henri Bergson.Lauri Myllymaa - 2021 - Dissertation, University of Jyväskylä
    It is important for the theory of knowledge to understand the factors involved in the generation of the capacities of knowledge. In the history of modern philosophy, knowledge is generally held to originate in either one or two sources, and the debates about these sources between philosophers have concerned their existence, or legitimacy. Furthermore, some philosophers have advocated scepticism about the human capacity to understand the origins of knowledge altogether. However, the developmental aspects of knowledge have received relatively little attention (...)
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  • Diversifying the Picture of Explanations in Biological Sciences: Ways of Combining Topology with Mechanisms.Philippe Huneman - 2018 - Synthese 195 (1):115-146.
    Besides mechanistic explanations of phenomena, which have been seriously investigated in the last decade, biology and ecology also include explanations that pinpoint specific mathematical properties as explanatory of the explanandum under focus. Among these structural explanations, one finds topological explanations, and recent science pervasively relies on them. This reliance is especially due to the necessity to model large sets of data with no practical possibility to track the proper activities of all the numerous entities. The paper first defines topological explanations (...)
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