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Dive into the research topics where Francesca Merlin is active.

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Featured researches published by Francesca Merlin.


Archive | 2015

Developmental Noise: Explaining the Specific Heterogeneity of Individual Organisms

Francesca Merlin

Recent research in molecular developmental biology has shown that the stochastic character of development (i.e., developmental noise) can produce phenotypic heterogeneity even in the absence of any other source of change (genetic and environmental). More precisely, developmental noise triggers phenotypic heterogeneity amongst the members of a clonal population (synchronic heterogeneity) and even within an individual organism over time (diachronic heterogeneity), in a stable and homogeneous environment. This paper deals with such stochasticity in order to explore its epistemological relevance and role, both as explanans and as explanandum. First, I investigate whether developmental noise is part of the explanation of the physical characteristics of individual organisms (i.e., the phenotypic outcome of development). Then, I try to assess whether or not heterogeneity due to stochastic events in development can be explained by a selective-evolutionary history. My final aim is to argue for the two following theses. First, from the developmental point of view, I argue that developmental biologists need to take into account developmental noise in order to explain the uniqueness of each individual organism and its own heterogeneity over time, at the phenotypic level at least, that genetic and environmental changes cannot explain alone. Second, from the evolutionary point of view, I critically evaluate explanations of developmental stochasticity in term of adaptation, in particular the idea that noise is a trait that has been selected to increase the capacity of natural populations to evolve (“evolvability”). Then, I identify other ways in which biologists should try to explain developmental noise. I conclude by highlighting the limits of any univocal explanatory approach in biology.


Acta Biotheoretica | 2017

Mapping Biological Transmission: An Empirical, Dynamical, and Evolutionary Approach

Francesca Merlin; Livio Riboli-Sasco

The current debate over extending inheritance and its evolutionary impact has focused on adding new categories of non-genetic factors to the classical transmission of DNA, and on trying to redefine inheritance. Transmitted factors have been mainly characterized by their directions of transmission (vertical, horizontal, or both) and the way they store variations. In this paper, we leave aside the issue of defining inheritance. We rather try to build an evolutionary conceptual framework that allows for tracing most, if not all forms of transmission and makes sense of their different tempos and modes. We discuss three key distinctions that should in particular be the targets of theoretical and empirical investigation, and try to assess the interplay among them and evolutionary dynamics. We distinguish two channels of transmission (channel 1 and channel 2), two measurements of the temporal dynamics of transmission, respectively across and within generations (durability and residency), and two types of transmitted factors according to their evolutionary relevance (selectively relevant and neutral stable factors). By implementing these three distinctions we can then map different forms of transmission over a continuous space describing the combination of their varying dynamical features. While our aim is not to provide yet another model of inheritance, putting together these distinctions and crossing them, we manage to offer an inclusive conceptual framework of transmission, grounded in empirical observation, and coherent with evolutionary theory. This interestingly opens possibilities for qualitative and quantitative analyses, and is a necessary step, we argue, in order to question the interplay between the dynamics of evolution and the dynamics of multiple forms of transmission.


Archive | 2015

The (In)Determinism of Biological Evolution: Where Does the Stochastic Character of Evolutionary Theory Come From?

Christophe Malaterre; Francesca Merlin

Evolutionary theory is readily acknowledged to be stochastic in that it only enables one to make probabilistic predictions, for instance regarding changes in genotypic frequencies within given populations. However, the very origin of this stochastic character has been the focus of much philosophical debate. Is it due to an inherent indeterminism? Or rather to epistemic limitations? In this chapter, we review some of the major arguments that have been exchanged on the topic recently. We argue that settling the issue would require first to answer the question of the relative contribution of the different factors of evolution. This leads us to defend a more nuanced vision of the origin of the stochastic character of evolutionary theory.


Erkenntnis | 2015

The propensity interpretation of fitness and the propensity interpretation of probability

Isabelle Drouet; Francesca Merlin


Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences | 2017

Epigenetics: A way to bridge the gap between biological fields

Antonine Nicoglou; Francesca Merlin


Comptes Rendus Biologies | 2015

Monod's conception of chance: Its diversity and relevance today

Francesca Merlin


Science Education | 2016

The Multi-faceted Idea of Chance in Darwin’s Writings

Francesca Merlin


History and Philosophy of The Life Sciences | 2014

Christian Sachse: Philosophie de la biologie. Enjeux et perspectives : Presses polytechniques et universitaires romandes, Lausanne, 2011, viii + 225 pp.

Francesca Merlin


Biological Theory | 2014

Randomness, Not Selection, as the Driving Force of Microorganisms’ Evolution

Francesca Merlin


Sciences & philosophie | 2011

Chapitre 16. L’(in)déterminisme de l’évolution naturelle : quelles origines pour le caractère stochastique de l’évolution ?

Christophe Malaterre; Francesca Merlin

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Christophe Malaterre

Université du Québec à Montréal

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Isabelle Drouet

Paris-Sorbonne University

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