Arantza Etxeberria

This paper delves into the character concept as applied to reproduction. Our argument is that the prevailing functional-adaptationist perspective falls short in explaining the evolution of reproductive traits, and we propose an alternative organismal-relational approach that incorporates the developmental and interactive aspects of reproduction. To begin, we define the functional individuation of reproductive traits as evolutionary strategies aimed at enhancing fitness, and we demonstrate how this perspective influences the classification of reproductive characters and modes, the comprehension of shared traits as resulting from conflicts of evolutionary interest between individuals, and the explanation of reproductive diversity. After outlining the shortcomings of this framework, we introduce an organismal-relational approach grounded in evolutionary developmental studies of reproduction. This view provides a revised classification for reproductive characters and modes and offers a new understanding of interorganismal traits that takes into account their inherently relational nature. Lastly, we present the research agenda that emerges from this approach, which addresses the core explanatory gaps left by the adaptationist perspective, including the explanation of reproductive homologies and homoplasies, the developmental constraints associated with the evolution of reproductive modes, and the evolvability of reproductive characters.

Definition The authors’ definition of the autopoietic system has evolved through the years. One of them states that an autopoietic system is organized (defined as a unity) as a network of processes of production (transformation and destruction) of components that produces the components which: (1) through their interactions and transformations regenerate and realize the network of processes (relations) that produced them; and (2) constitute it (the machine) as a concrete unity in the space in which they exist by specifying the topological domain of its realization as such a network (Varela 1979, p. 13). Nearly the same formula was earlier used to define an autopoietic machine (Maturana and Varela 1973/1980, 1984/1987, p. 135)