The theory of synergistic selection, as articulated by Peter Corning and Eörs Szathmáry, attempts to provide a Darwinian framework for the evolution of biological complexity. The core claim is that the functional benefits—or synergies—produced by cooperation are the primary causal force driving the “major transitions” in evolution, such as the emergence of eukaryotic cells and multicellular organisms. This perspective correctly identifies that cooperative systems, once established, can yield significant functional advantages. However, describing the benefits of a well-engineered system is not the same as explaining its origin. The fundamental challenge for any evolutionary mechanism is not to explain why an integrated system is advantageous, but to detail a plausible, unguided pathway to the creation of the information-rich, coordinated components that make such a system possible in the first place. The “synergism hypothesis” provides a compelling description of the economics of biological cooperation but fails to demonstrate the creative power necessary to build the machinery on which that cooperation depends.
Critical Analysis
Finding 1: The “synergism hypothesis” is presented as the primary driver for the major transitions in evolution. (Speculative)
Corning and Szathmáry propose that major leaps in complexity—from chromosomes to multicellular life to social colonies—are all consequences of cooperative arrangements that produced advantageous synergistic effects, which were then favored by natural selection. This hypothesis simply re-labels the central problem of the grand evolutionary narrative. It observes that complex, integrated systems are beneficial (the “synergy”) and that they have persisted (were “selected”). This is a functional description, not a mechanistic explanation of origin. The theory does not explain how the component parts necessary for synergy, such as the mitochondrion and its host cell, acquired the specific, mutually-compatible machinery required for their integration. It merely notes that the subsequent partnership was a successful one. It describes the “why” of a system’s success while remaining silent on the crucial question of “how” it was built.
Evolutionary Counter-Argument: Synergistic selection is the Darwinian mechanism; incremental steps that increase cooperation are favored, gradually building the complex system because each step provides a synergistic advantage that is captured by selection.
The rebuttal is that this gradualist vision fails a basic systems engineering reality check. The complex systems cited as evidence for synergy—like the eukaryotic cell or the division of labor in social insects—are characterized by an irreducible interdependence of their parts. The functional benefit, the synergy itself, often manifests only when a suite of coordinated components is already in place. The paper’s own “rowing” analogy, where two oarsmen with one oar each are interdependent, powerfully illustrates this. The system of two men and two opposing oars works synergistically, but a system of one man with one oar does not work at all. Unguided processes cannot aim for a distant functional goal; selection can only act on the immediate functional advantage of each step. For many synergistic systems, the intermediate steps on a hypothetical gradual pathway would be non-functional or even detrimental, offering no adaptive gradient for selection to climb.
Finding 2: The dynamics of synergistic selection can be modeled using game theory, proving its viability as an evolutionary force. (Indirect)
The authors point to models, such as John Maynard Smith’s analysis of cooperation and the “corporate goods” model, to formalize the concept of synergistic selection. These mathematical models demonstrate that under certain payoff conditions (i.e., when cooperation produces a sufficient bonus), cooperative strategies can be evolutionarily stable. The fundamental flaw in presenting this as evidence for the creative power of evolution is that the models are intelligently front-loaded. They begin with agents that are already programmed with the capacity to cooperate, to assess costs and benefits, and to act according to fixed rules. The models do not generate novel cooperative abilities from scratch; they simply simulate the population dynamics of pre-existing traits. They fail entirely to address the informational problem: the origin of the genetic and epigenetic information required to build the biological structures that actually perform these cooperative behaviors.
Evolutionary Counter-Argument: These models are simplifications meant to show that once a cooperative trait arises by chance, synergistic selection provides the conditions for it to spread and be maintained, even among non-kin.
This defense effectively concedes the main point by shifting the goalposts. It reduces the profound challenge of explaining biological invention to a simple problem of population dynamics. The truly difficult question—the origin of novel biological information and integrated machinery—is sidestepped by assuming the necessary components arise spontaneously. The model then “explains” only the trivial part: that advantageous traits, once they exist in a fully functional form, can be preserved. This is akin to claiming to explain the origin of a software program by modeling how a company using that software can outperform competitors. The model explains the benefits of using the finished product but says nothing about the intelligent engineering required to write the code.
The Bigger Picture
The synergism hypothesis is an attempt to solve a well-recognized deficiency in the grand evolutionary narrative: the origin of irreducible, multi-component systems. By framing the problem in terms of the economic “payoffs” of cooperation, the theory creates the illusion of explanatory power. It distracts from the core engineering challenge, which is the step-by-step construction of the underlying machinery. Synergy is a property of a functioning system, not a mechanism for building that system from simpler parts. As such, it acts as a powerful filter for preserving existing functional arrangements but lacks any demonstrated power as a creative engine for generating novel biological information or form.
Broader Context
This paper joins a growing list of extended evolutionary synthesis theories—including multi-level selection, niche construction, and self-organization—that implicitly acknowledge the inadequacy of the classical neo-Darwinian framework to explain large-scale biological innovation. While these theories add layers of complexity and ecological realism, they share a common limitation. They are, without exception, descriptions of selective or environmental dynamics that operate on pre-existing biological entities. They describe how organisms and populations change, but they do not and cannot explain the origin of the foundational blueprints and integrated systems that define those organisms. The synergism hypothesis fits neatly into this pattern, offering a new lens to view selection but failing to grant the selective process the innovative power it fundamentally lacks.
Bottom Line
The concept of “synergistic selection” provides a useful vocabulary for describing the functional advantages of cooperative biological systems. It correctly identifies that the combined effect of parts working together can be greater than their individual effects. However, in explaining the origin of biological complexity, it ultimately fails because it begins its analysis far too late in the process. It presupposes the existence of the very things it needs to explain: the information-rich, functionally-specific, and coordinated components that are the basis of any synergistic relationship. It is a theory that explains the success of the winners, but not how they came to be.
Paper Details
- Title: “Synergistic selection”: A Darwinian frame for the evolution of complexity
- Authors: Peter A. Corning, Eörs Szathmáry
- Journal: Journal of Theoretical Biology
- Year: 2015
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