Leonore Fleming

The problem with reductionism in biology is not the reduction, but the implicit attitude of determinism that usually accompanies it. Methodological reductionism is supported by deterministic beliefs, but making such a connection is problematic when it is based on an idea of determinism as fixed predictability. Conflating determinism with predictability gives rise to inaccurate models that overlook the dynamic complexity of our world, as well as ignore our epistemic limitations when we try to model it. Furthermore, the assumption of a strictly deterministic framework is unnecessarily hindering to biology. By removing the dogma of determinism, biological methods, including reductive methods, can be expanded to include stochastic models and probabilistic interpretations. Thus, the dogma of reductionism can be saved once its ties with determinism are severed. In this paper, I analyze two problems that have faced molecular biology for the last 50 years—protein folding and cancer. Both cases demonstrate the long influence of reductionism and determinism on molecular biology, as well as how abandoning determinism has opened the door to more probabilistic and unconstrained reductive methods in biology.

Clatterbuck et al. (Biol Philos 28: 577–592, 2013) argue that there is no fact of the matter whether selection dominates drift or vice versa in any particular case of evolution. Their reasons are not empirically based; rather, they are purely conceptual. We show that their conceptual presuppositions are unmotivated, unnecessary and overly complex. We also show that their conclusion runs contrary to current biological practice. The solution is to recognize that evolution involves a probabilistic sampling process, and that drift is a deviation from probabilistic expectation. We conclude that conceptually, there are no problems with distinguishing drift from selection, and empirically—as modern science illustrates—when drift does occur, there is a quantifiable fact of the matter to be discovered

Darwin begins On the Origin of Species by asking the reader to “reflect on the vast diversity of the plants and animals which have been cultivated” (1859, p. 7); almost five-hundred pages later, he closes by having the reader consider the “endless forms most beautiful and wonderful” that have evolved (1859, p. 490). Darwin contemplates diversity throughout the Origin and presents the principle of divergence as a way to explain it. Darwin formulated the principle of divergence around 1857 (Browne 1980), at which point he began replacing his previous view of “limited perfect adaptedness” with a view of relative adaptedness (Ospovat 1981; Burian 1983). Proponents of perfect adaptedness, such as Paley and ..

There is a worry that the ‘major transitions in evolution’ represent an arbitrary group of events. This worry is warranted, and we show why. We argue that the transition to a new level of hierarchy necessarily involves a nonselectionist chance process. Thus any unified theory of evolutionary transitions must be more like a general theory of fortuitous luck, rather than a rigid formulation of expected events. We provide a systematic account of evolutionary transitions based on a second-order regularity of chance events, as stipulated by the ZFEL (Zero Force Evolutionary Law). And in doing so, we make evolutionary transitions explainable and predictable, and so not entirely contingent after all.

The view that complexity increases in evolution is uncontroversial, yet little is known about the possible causes of such a trend. One hypothesis, the Zero Force Evolutionary Law (ZFEL), predicts a strong drive toward complexity, although such a tendency can be overwhelmed by selection and constraints. In the absence of strong opposition, heritable variation accumulates and complexity increases. In order to investigate this claim, we evaluate the gross morphological complexity of laboratory mutants in Drosophila melanogaster, which represent organisms that arise in a context where selective forces are greatly reduced. Complexity was measured with respect to part types, shape, and color over two independent focal levels. Compared to the wild type, we find that D. melanogaster mutants are significantly more complex. When the parts of mutants are categorized by degree of constraint, we find that weakly constrained parts are significantly more complex than more constrained parts. These results support the ZFEL hypothesis. They also represent a first step in establishing the domain of application of the ZFEL and show one way in which a larger empirical investigation of the principle might proceed.

This paper presents a modified random network model to illustrate how groups can form in the absence of evolutionary forces, assuming groups are collections of entities at any level of organization. This model is inspired by the Zero Force Evolutionary Law, which states that there is always a tendency for diversity and complexity to increase in any evolutionary system containing variation and heredity. That is, in the absence of evolutionary forces, the expectation is a continual increase in diversity and complexity at any level of biological hierarchy. I show that, when modeled, this expectation of increasing variation results not only in the formation of groups, but also in a higher probability of group formation than is found in a model that is purely random.