Jul 2026· Frontiers in Bioengineering and Biotechnology· Vol 14· 0 citations· 77 references
Medicine
TL;DR
It is argued that continued advances in nucleic acid synthesis and design are a key driver of emerging biosafety and biosecurity challenges, particularly by challenging assumptions embedded in sequence- and organism-based approaches to oversight.
Abstract
Synthetic cells represent a class of engineered biological systems that span a continuum from non-replicating biochemical assemblies to genome-containing entities, exposing limitations in conventional approaches to biotechnology governance. These systems are enabled by advances in synthetic nucleic acid technologies, which provide the basis for their design, function, and programmability and expand the accessible design space of engineered biological systems. Building on a recent National Academies report, this perspective argues that continued advances in nucleic acid synthesis and design are a key driver of emerging biosafety and biosecurity challenges, particularly by challenging assumptions embedded in sequence- and organism-based approaches to oversight. We treat synthetic cells as a boundary case that highlights limitations in nucleic-acid-enabled biotechnology governance. Drawing on the report’s property-based framework, we examine how governance misalignment arises in practice through the interaction of categorical triggers, institutional boundaries, and the timing of oversight across the research and development lifecycle. We further highlight limitations in how current risk assessment approaches are applied and provide structured questions that more explicitly support the evaluation of benefits alongside risks to improve consistency in function- and context-based assessment across institutional and policy settings. Together, these observations underscore the need to align governance approaches with system properties, intended use, and deployment context as engineering biology continues to expand beyond conventional biological categories.
A systems-based, risk-informed framework organized around four interacting dimensions: design capability, access, governance strength, and liability and attribution clarity is presented, intended to complement existing screening standards and national regulatory approaches.
Sebunya Emmanuel Kato, A. Ndudzo, Sarah Olivia Bayiga et al.· Frontiers in Bioengineering...· 0 citations
ABSTRACT The deliberate release of genetically engineered microorganisms for environmental applications has remained largely blocked since the early days of recombinant DNA technology, when limited ecological knowledge, lack of success stories and public apprehension shaped a culture of caution and restrictive regulati...
V. de Lorenzo· Microbial Biotechnology· 1 citation
This Perspective examines the trajectory of Spain's synthetic biology community, highlighting foundational contributions, current strengths and emerging opportunities, and the need to balance engineering ambition with biological complexity, innovation with deployability and control with emergence.
Germán Rivas, Irene Otero-Muras, V. de Lorenzo· Engineering Biology· 0 citations
This paper intends to offer a feasible pathway for strengthening biosecurity governance in Africa hence helping support responsible scientific innovation while addressing the evolving risks of bio-digital convergence.
Keletso Masisi, M. Amougou, Ilodia Amilcar Zacarias et al.· Frontiers in Bioengineering...· 0 citations
The authors analyse national regulations and propose the SynBioxAI regulatory interoperability toolkit (RIOT), a practical, seven-lens institutional framework that gives research institutions the capacity to navigate regulatory divergence efficiently and transparently.
Ross K. J. McLennan, Paul S. Freemont, I. Pretorius· Nature Communications· 1 citation
This Perspective, it is argued that forcing living biology to mimic nonliving silicon machinery is neither biologically rational nor practically aspirational, and the true paradigm of cellular programming and engineering lies in steering biological complexity under predictable rules to achieve capabilities that neither...
W. El-Sharoud· Biotechnology and Bioenginee...· 0 citations
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