Opening the species box: What parsimonious microscopic models of speciation have to say about macroevolution

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Abstract

In the last two decades, lineage-based models of diversification, where species are viewed as particles that can divide (speciate) or die (become extinct) at rates depending on some evolving trait, have been very popular tools to study macroevolutionary processes. Here, we argue that this approach cannot be used to break down the inner workings of species diversification and that “opening the species box” is necessary to understand the causes of macroevolution, but that too detailed speciation models also fail to make robust macroevolutionary predictions.

We set up a general framework for parsimonious models of speciation that rely on a minimal number of mechanistic principles: (i) reproductive isolation is caused by excessive dissimilarity between genotypes; (ii) dissimilarity results from a balance between differentiation processes and homogenizing processes; and (iii) dissimilarity can feed back on these processes by decelerating homogenization.

We classify such models according to the main homogenizing process : (1) clonal evolution models (ecological drift), (2) models of genetic isolation (gene flow) and (3) models of isolation by distance (spatial drift). We review these models and their specific predictions on macroscopic variables such as species abundances, speciation rates, interfertility relationships or phylogenetic tree structure.

We propose new avenues of research by displaying conceptual questions remaining to be solved and new models to address them: the failure of speciation at secondary contact, the feedback of dissimilarity on homogenization, the emergence in space of breeding barriers.

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  1. Therefore, we argue in favor of a balance between top-down and bottom-up approaches: whiledefinitely needing to open the species box, at the same time must we focus, to identify the driversof macroevolution, on microscopic models that remain parsimonious.

    I think in general, this makes a lot of sense. Do you foresee any difficulties in going for this type of "happy medium" approach? Would it be more difficult to create models that are useful, or would more resources be required, for instance? I know the expected trade-offs are mentioned later, but I'm more curious about any barriers to putting archetypal models into practice.