Abiogenesis
The origin of life

The first review of Kairos cofounder Mikael Bergkvist abiogenesis (origin of life): A Positive Critique of "Quickstarting Life: A Minimal Model of Growth-Driven Abiogenesis"

Mikael Bergkvist's work presents a refreshing and innovative shift in abiogenesis research by prioritizing growth over replication as the foundational driver of life's emergence. This growth-first framework, rooted in information-constrained (IC) dynamics, elegantly demonstrates how simple thermodynamic and environmental pressures can foster ordered structures in a protocell-like system without presupposing complex replicative machinery. The computational model—featuring metabolically active nodes within a bounded "bubble" that adapt to fluctuating fuels through mutation, energy-gated duplication, and self-organization—offers a compelling testbed for exploring entropy-driven pathways to biological complexity. By emphasizing emergent behaviors like resource specialization, phase-locked metabolic cycles, and growth-driven division under constraints such as energy gating, redundancy, and latency, the work bridges physics, chemistry, and biology in a quantifiable manner. This approach not only echoes core biological principles like homeostasis and anticipatory regulation but also invites deeper consideration of environmental factors that could amplify such ordering processes, particularly the roles of light and water in shaping early cellular biology.

A standout strength of Bergkvist's model is its implicit alignment with the profound impact of light on the ordering of cellular structures and processes during abiogenesis. Light, as a ubiquitous environmental rhythm—manifesting in diurnal cycles or stellar UV fluxes—serves as a primary energy source that could drive the fluctuating fuel dynamics simulated in the model. For instance, the synchronization of internal metabolic cycles with external rhythms mirrors how photochemical reactions under ultraviolet (UV) light might have facilitated the initial assembly of biomolecular precursors, promoting dissipative structures that dissipate energy while building complexity (Michaelian, 2021). In this context, light's quantum interactions with biomolecules, such as photon absorption leading to excited states, could enhance the IC constraints by gating energy availability, much like the model's fuel preferences evolve to maintain homeostasis. This photochemical perspective enriches the growth-driven narrative, suggesting that light not only powers proto-metabolic networks but also imposes selective pressures for anticipatory behaviors, akin to early circadian-like oscillations that anticipate environmental changes (Diel Theory, 2017). By modeling such dynamics abstractly, Bergkvist's framework provides a robust platform to simulate how light-induced gradients—perhaps through UV-driven synthesis of organic compounds—could accelerate the transition from disordered chemistry to ordered cellular biology, underscoring the model's potential to unify thermodynamic principles with photonic abiogenesis (Leibniz-IPHT, n.d.).

Equally commendable is how the model's environmental constraints resonate with water's pivotal role in ordering cellular biology, where water acts as both a medium and a structuring agent in abiogenesis. Water's ambivalent nature—serving as a solvent that enables molecular mobility while posing hydrolytic challenges—aligns seamlessly with the IC dynamics of redundancy and latency, as it could constrain yet facilitate the self-assembly of protocell boundaries and metabolic nodes (Pollack, 2017). In the model's "bubble" structure, water might be envisioned as the dynamic matrix that mediates fuel fluctuations, driving hydrophobic interactions that order amphiphilic molecules into membranes and promote phase separation for specialized compartments (Benner et al., 2020). Recent insights into rainwater's ability to form protective barriers around RNA-like structures further bolster this, illustrating how water's interfacial properties could shield emerging systems from dilution, enabling growth-driven division as depicted in the simulation (SciTechDaily, 2024). This highlights the model's elegance in capturing entropy-driven information processing, where water's role in minimizing free energy through structured hydration layers fosters the emergence of metabolic synchronization and resource specialization—key steps toward cellular order without invoking replication prematurely.

Overall, Bergkvist's minimal model stands out for its parsimony and predictive power, offering a thermodynamically grounded precursor to life that naturally accommodates the transformative influences of light and water. By focusing on growth as an entropy-management strategy, it paves the way for future extensions, such as incorporating explicit light-water interactions to model prebiotic scenarios more holistically. This work not only advances computational abiogenesis but also inspires interdisciplinary explorations into how physical principles underpin biological emergence.

References

Benner, S. A., et al. (2020) 'The ambivalent role of water at the origins of life', *FEBS Letters*, 594(12), pp. 2017-2033.

Diel Theory of Evolution (2017) 'The Diel Theory of Evolution: Shedding Light/Dark on Abiogenesis', *USRA Houston*, available at:
https://www.hou.usra.edu/meetings/issol2017/pdf/4196.pdf

Leibniz-IPHT (n.d.) 'Photonic Abiogenesis', Leibniz-Institut für Photonische Technologien, available at:
https://www.leibniz-ipht.de/.../dep.../photonic-abiogenesis/

Michaelian, K. (2021) 'The Dissipative Photochemical Origin of Life: UVC Abiogenesis of Adenine', *Life*, 11(2), p. 110.

Pollack, G. H. (2017) 'Water is an active matrix of life for cell and molecular biology', *Proceedings of the National Academy of Sciences*, 114(51), pp. 13327-13331.

SciTechDaily (2024) 'Rainwater: Scientists Discover Unexpected Missing Link in the Origin of Life', available at:
https://scitechdaily.com/rainwater-scientists-discover.../