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Genetic Causation in Complex Regulatory Systems: An Integrative Dynamic Perspective

James DiFrisco, Johannes Jaeger

2020BioEssays76 citationsDOIOpen Access PDF

Abstract

The logic of genetic discovery has changed little over time, but the focus of biology is shifting from simple genotype-phenotype relationships to complex metabolic, physiological, developmental, and behavioral traits. In light of this, the traditional reductionist view of individual genes as privileged difference-making causes of phenotypes is re-examined. The scope and nature of genetic effects in complex regulatory systems, in which dynamics are driven by regulatory feedback and hierarchical interactions across levels of organization are considered. This review argues that it is appropriate to treat genes as specific actual difference-makers for the molecular regulation of gene expression. However, they are often neither stable, proportional, nor specific as causes of the overall dynamic behavior of regulatory networks. Dynamical models, properly formulated and validated, provide the tools to probe cause-and-effect relationships in complex biological systems, allowing to go beyond the limitations of genetic reductionism to gain an integrative understanding of the causal processes underlying complex phenotypes.

Topics & Concepts

ReductionismSystems biologyCausationBiologyPhenotypePerspective (graphical)Gene regulatory networkScope (computer science)Computational biologyEpistasisPleiotropyGeneGeneticsEpistemologyComputer scienceGene expressionArtificial intelligenceProgramming languagePhilosophyGene Regulatory Network AnalysisEvolution and Genetic DynamicsCRISPR and Genetic Engineering