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Macroevolution and Microevolution: Issues of Time Scale in Evolutionary Biology

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Part of the book series: Boston Studies in the Philosophy and History of Science ((BSPS,volume 326))

Abstract

According to the Modern Synthesis (MS), population genetics, as the science of the dynamics of changing allele frequencies in a population, is the core of evolutionary biology since it explains the arising of adaptations by cumulative selection. Its scale is microevolution, namely, evolution of the population of one species within a timescale not too large, defined by a small window of variations and environmental changes. Microevolution constrats with macroevolution, that is, evolution above the level of speciation – such as the extinction or emergence of species and clades – which involves a longer timescale and therefore may assume large environmental changes. MS claimed that macroevolution is not different from macroevolution. This “extrapolationist” thesis formulated by Simpson has been challenged for three decades: by the “punctuated equilibrium” thesis, and recently by Evo-Devo. Here I question the reasons why the extrapolationist thesis is threatened by advances in paleobiology and evolutionary developmental theory. The paper essentially distinguishes between biological and mathematical reasons why there could be principled differences between microevolution and macroevolution. The former concern the nature of variation, which fuels natural selection: whether it’s only made up by mutations and sexual recombination, or whether other developmental features should account for phenotypic variation; it ultimately relies on topological features of the genotype-phenotype maps. Mathematical reasons concern the modeling of chance events in microevolution: at larger timescales, models of chance (such as Gaussian distribution of fluctuations) may not be any more justified, and other models would be required, though at microevolutionary timescales all models would be in practice equivalent. This argument will be applied to recent evolutionary research on extinction time. It appeals to the distinction made by mathematician Mandelbrot between “wild randomness” and “mild randomness” as two distinct structures of randomness. I conclude by showing that the mathematical differences between micro and macroevolution are more general, and therefore may challenge the extrapolation thesis even if empirical facts do not support the biological differences.

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Notes

  1. 1.

    For example Ernst Mayr is one of the founders of the Synthesis, and one of his major achievements is arguably the elaboration of a model of speciation focusing on the mechanisms of “reproductive isolation” (Mayr 1963).

  2. 2.

    On those challenges see Gould (2002), Müller and Pigliucci (2011), Huneman and Walsh (2017). See also a two-sides paper published in Nature last year (Wray et al. 2014, Laland et al. 2014) under the title “Does evolutionary theory need a rethink?”

  3. 3.

    An allele is the variable form of a given gene . A genotype is the whole or a given part of the genetic information of an individual.

  4. 4.

    The phenotype is the set of observable characters of an individual.

  5. 5.

    Proximity in adaptive terms – technically, it means analogies rather than homologies. The quotation below by Dobzhansky provides examples.

  6. 6.

    See comments in Amundson (2005).

  7. 7.

    Dobzhansky (1951) writes: “Experience shows, however, that there is no way toward understanding of the mechanisms of macroevolutionary changes, which require time on geological scales, other than through understanding of microevolutionary processes observable within the span of a human lifetime, often controlled by man’s will, and sometimes reproducible in laboratory experiments.”

  8. 8.

    Eldredge (1971) anticipated some of the radical claims made in Eldredge and Gould (1972), especially by studying an allopatric -speciation based model accounting for phylogenetic patterns that would yield non-gradual evolution . I thank Alexandre Peluffo for having brought this paper to my attention.

  9. 9.

    Notice also that discontinuous change was already acknowledged by Simpson (1944) who named it “quantum evolution ”. The point was that according to him, even if in principle plausible, quantum evolution was not the rule in nature and only concerned rare and rapid diversification and abrupt transition to different “adaptive zones”. Simpson reacted very harshly to the punctuated equilibria thesis, as it is documented by his private correspondence with Gould (Cain 2009), since he objected strongly to the claim of novelty from the authors.

  10. 10.

    As he wrote in retrospect: “punctuated equilibria, which at first sight, seem to support saltationism and discontinuity, are in fact strictly populational phenomena, and therefore gradual (Mayr 1963). They are in no respect whatsoever in conflict with the conclusions of the evolutionary synthesis” (Mayr 2001, p. 298).

  11. 11.

    My emphasis; notice how this contradicts what Dobzhansky says about the only way to address macroevolution .

  12. 12.

    “Regulatory changes in the timing of complex ontogenetic programs seem far more promising and potentially rapid, in conformity with our punctuational predilections. (…) We are pleased that some recent molecular evidence, based on regulatory rather than structural gene changes, supports our model” (Gould and Eldredge 1977, p. 138)

  13. 13.

    The class of bilaterian animals includes all animals showing some symmetry, which encompasses both deuterostomes and protostomes.

  14. 14.

    Even though some biologists designed powerful models that still ascribe stabilizing selection a major role in this, e.g. Eldredge et al. (2005).

  15. 15.

    Except purely physical constraints like gravity, but here we talk of genetic constraints, or developmental constraints bearing on genetic systems (e.g. Wake 1991).

  16. 16.

    Tempo and modes are the concepts Simpson (1944) introduced to address evolutionary change. The tempo is the rate of evolution of something, for instance the amount of change per million years in a given character . The mode is, more generally, the way evolution occurs in changing populations, and it’s not only quantitative (unlike tempo): for instance, “quantum evolution” and “gradual evolution” are modes of evolution.

  17. 17.

    As in the above Valentine and Jablonski (2003) quote about developmental processes impinging on macroevolution .

  18. 18.

    Remember, the genotypes are dots in the space; the whole reasoning assumes that we deal with discrete sets.

  19. 19.

    See also Wilkins and Godfrey-Smith (2009) on zooming in and out landscapes.

  20. 20.

    On this program see Ruse and Sepkoski (2011), Huss (2004).

  21. 21.

    There is a large controversy over whether natural selection maximizes population fitness, initiated by Fisher (1930) and his “fundamental theorem of natural selection”, and still going on now, but this is not the place to develop it. See Grafen (2007), Huneman (2014a) for a contemporary defense of the view, and Lehmann and Rousset (2014) for a critique. In the current context it’s enough to indicate a link between selection and directionality: if selection drives microevolution , then in many cases we can expect a maximal (inclusive) fitness phenotype , and in even more cases we can predict the outcome, even if it’s not a fitness maximizing outcome (for instance because the genetic structure prevents this maximization, even if the genotypic frequencies under selection are predictable).

  22. 22.

    This extinction was indeed massively studied, especially because of the controversy about the causes of the disparition of the dinosaurs, which was revivified by the hypothesis of an asteroid impact, elaborated by Luis Alvarez in the 80s - an asteroid often later identified with the meteor responsible of the Chicxulub crater in Yucatan. We know that in no sense were the dinosaurs groups’ diversity declining just before the extinction.

  23. 23.

    In practice, things are not always like this, and the effects of taxes, in particular, may hugely impinge on this distribution (happily).

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Acknowledgements

The author warmly thanks Jean Gayon, Annick Lesne, Scott Lidgard and Mael Montevil, for helpful discussions, as well as audiences at the ISHPSSB 2015 meeting in Montréal. He is also grateful to Andrew Mc Farland for a thorough language check of the manuscript, and to Sébastien Dutreuil and Christophe Bouton for criticisms and suggestions on a first draft. This work has been done with the support of the grant ANR 13 BSH3 0007 “Explabio”.

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Huneman, P. (2017). Macroevolution and Microevolution: Issues of Time Scale in Evolutionary Biology. In: Bouton, C., Huneman, P. (eds) Time of Nature and the Nature of Time. Boston Studies in the Philosophy and History of Science, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-319-53725-2_14

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