On the meaning of chance in biology

Chance has somewhat different meanings in different contexts, and can be taken to be either ontological (as in quantum indeterminacy) or epistemological (as in stochastic uncertainty). Here I argue that, whether or not it stems from physical indeterminacy, chance is a fundamental biological reality that is meaningless outside the context of knowledge. To say that something happened by chance means that it did not happen by design. This of course is a cornerstone of Darwin's theory of evolution: random undirected variation is the creative wellspring upon which natural selection acts to sculpt the functional form (and hence apparent design) of organisms. In his essay Chance & Necessity, Jacques Monod argued that an intellectually honest commitment to objectivity requires that we accord chance a central role in an otherwise mechanistic biology, and suggested that doing so may well place the origin of life outside the realm of scientific tractability. While that may be true, ongoing research on the origin of life problem suggests that abiogenesis may have been possible, and perhaps even probable, under the conditions that existed on primordial earth. Following others, I argue that the world should be viewed as causally open, i.e. primordially indeterminate or vague. Accordingly, chance ought to be the default scientific explanation for origination, a universal 'null hypothesis' to be assumed until disproven. In this framework, creation of anything new manifests freedom (allowing for chance), and causation manifests constraint, the developmental emergence of which establishes the space of possibilities that may by chance be realized.

Differential diffusivity of Nodal and Lefty underlies a reaction-diffusion patterning system

Biological systems involving short-range activators and long-range inhibitors can generate complex patterns. Reaction-diffusion models postulate that differences in signaling range are caused by differential diffusivity of inhibitor and activator. Other models suggest that differential clearance underlies different signaling ranges. To test these models, we measured the biophysical properties of the Nodal/Lefty activator/inhibitor system during zebrafish embryogenesis. Analysis of Nodal and Lefty gradients revealed that Nodals have a shorter range than Lefty proteins. Pulse-labeling analysis indicated that Nodals and Leftys have similar clearance kinetics, whereas fluorescence recovery assays revealed that Leftys have a higher effective diffusion coefficient than Nodals. These results indicate that differential diffusivity is the major determinant of the differences in Nodal/Lefty range and provide biophysical support for reaction-diffusion models of activator/inhibitor-mediated patterning.

Downward causation by information control in micro-organisms

The concepts of functional equivalence classes and information control in living systems are useful to characterize downward (or top-down) causation by feedback information control in synthetic biology. Herein, we re-analyse published experiments of microbiology and synthetic biology that demonstrate the existence of several classes of functional equivalence in microbial organisms. Classes of functional equivalence from the bacterial operating system, which processes and controls the information encoded in the genome, can readily be interpreted as strong evidence, if not demonstration, of top-down causation (TDC) by information control. The proposed biological framework reveals how this type of causality is put in action in the cellular operating system. Considerations on TDC by information control and adaptive selection can be useful for synthetic biology by delineating the irreducible set of properties that characterizes living systems. Through a 'retro-synthetic' biology approach, these considerations could contribute to identifying the constraints behind the emergence of molecular complexity during the evolution of an ancient RNA/peptide world into a modern DNA/RNA/protein world. In conclusion, we propose TDCs by information control and adaptive selection as the two types of downward causality absolutely necessary for life.