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Episode 11 15.03.2014
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Did birds and mammals independently evolve the same brain circuit , and what does that mean for how we define homology? Developmental neurobiologist Zoltan Molnar presents evidence that avian and mammalian forebrains share strikingly similar gene expression patterns and functional properties despite arising from different parts of the embryonic brain. Subscribe for more from the Convergent Science Network podcast series. Zoltan Molnar joins Paul Verschure and Tony Prescott at the BCBT summer school to discuss the evolution and development of the neocortex, tracing the question back to Thomas Willis’s 1664 observation that the cerebral cortex is disproportionately enlarged in humans. Molnar argues that while the cortex is clearly central to higher cognitive function, understanding its evolution requires confronting one of the thorniest problems in evolutionary biology: the relationship between the mammalian neocortex and the avian dorsal ventricular ridge, structures that show convergent gene expression, similar electrophysiological properties, and comparable circuit organization, yet develop from different regions of the embryonic telencephalon. The discussion produces a spirited debate about the meaning of homology. Molnar insists on a developmental definition , structures are homologous only if they derive from the same part of the neuroepithelium , and presents lineage-tracing evidence that mammalian layer 4 neurons and avian nidopallium neurons originate from distinct progenitor populations. Verschure and Prescott push back, arguing that convergent gene expression and functional equivalence in the adult brain may warrant a broader evolutionary definition. The conversation also covers how highly conserved homeobox genes mark early brain segments identically across vertebrates, how thalamic inputs may drive convergent differentiation in recipient cells regardless of their developmental origin, and what Harvey Karten’s equivalent circuit hypothesis means in light of modern transcriptomic data. Key topics include why neocortex is the key structure for understanding brain evolution, how conserved developmental programs constrain but do not fully determine adult brain organization, what the reeler mutant reveals about the robustness of cortical self-organization, how sauropsids and mammals enlarged different parts of the forebrain, and why the debate over homology versus convergence remains unresolved despite decades of comparative data. Part of the Convergent Science Network podcast series from the BCBT Summer School.
Tagged as:
Circuit Gene Expression homology neocortex evolution
About the author call_made
Both the triumphs of humanity and its most evil deeds have resulted from collaboration. In a time where humanity is required to aspire to the former and minimize the latter, the question arises of how collaboration arises and why it fails. Surprisingly, this phenomenon, so central to who we are, is not well understood. Hence, a collaborative effort is required to understand collaboration in its full biological, psychological, sociological, cultural, and economic complexity and to translate this understanding into operational impact. This series of podcasts is one step toward achieving these complementary goals. The Collaboration Podcast presents interviews with people who are central orchestrators of collaboration in various domains including business, government, science, art, health, sustainability, and the military. The discussions were conducted by Prof. Dr. Paul F.M.J. Verschure and members of the Program Advisory Committee of the Ernst Strungmann Forum on Collaboration (https://www.esforum.de/forums/ESF32_Collaboration.html) during 2021 and had the goal to sketch a map of opportunities, challenges, and obstacles in human collaboration. The forum took place in May 2022, and now we would like to share this series of interviews with a broader audience. The full report of the Forum will be published in 2023 by MIT Press. The podcast was produced by the Convergent Science Network (https://www.convergentsciencenetwork.org/). Context: The stability of social systems depends critically on realizing sustainable methods of “collaboration,” yet how and by which means collaboration is achieved is not clearly understood; neither are the conditions or processes that lead to its breakdown or failure. Collaboration can be understood as cooperation between agents toward mutually constructed goals. Part of the reason for our lack of understanding is that the phenomenon of collaboration is, by nature, a highly multidisciplinary problem, and effective research into its complexities has been difficult to achieve across the broad range of scientific and technical disciplines involved. The need for a fundamental understanding of collaboration, however, has become increasingly important. Not only does humankind demand answers as it attempts to address critical challenges at multiple scales (e.g., climate change, migration, enhanced automation, social and economic inequality), but ever-increasing technological and economic means of interconnecting people and societies are disrupting long-established, familiar patterns of how we interact. Radical technological changes that are ongoing have the potential to reshape collaboration in ways that are currently hard to predict or influence (e.g., by altering configurations in interaction, information creation, and modes of communication). On one hand, such changes could disrupt hitherto stable forms of collaboration by affecting critical communication channels and traditional roles, as can be observed in the rapidly changing patterns in governance, commerce, and social interaction. Conversely, technology could lead to the emergence of novel, successful forms of collaboration that deviate from traditional “hierarchical” architectures. Evidence of this can be seen in areas as diverse as highly automated manufacturing plants, the open science movement, collaborative software repositories, user-centered services, and the sharing of economy-based modes of organization. Without a fundamental understanding of the mechanisms, processes, and boundary conditions of collaboration, it is not possible to evaluate or predict which of these possible scenarios are sustainable or even plausible. The Forum “How Collaboration Arises and Why it Fails” (May 8–13, 2022, Location: Frankfurt am Main, Germany) Chairs: Andreas Roepstorff and Paul Verschure Program Advisory Committee: Jenna Bednar, Julia R. Lupp, Bhavani R. Rao , Andreas Roepstorff, Ferdinand von Siemens, and Paul Verschure
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