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在低至中度风险场景中使用攻击树对生物安全和生物安保进行定量分析:来自国际基因工程机器大赛(iGEM)的证据

A quantitative analysis of biosafety and biosecurity using attack trees in low-to-moderate risk scenarios: Evidence from iGEM.

作者信息

Zhang Xi, Xiao Zhanpeng, Zhang Te, Wei Xin

机构信息

College of Management and Economics, Tianjin University, Tianjin, P. R. China.

Center for Biosafety Research and Strategy, Tianjin University, Tianjin, China.

出版信息

Risk Anal. 2025 Jun;45(6):1529-1544. doi: 10.1111/risa.17678. Epub 2024 Nov 17.

Abstract

As synthetic biology is extensively applied in numerous frontier disciplines, the biosafety and biosecurity concerns with designing and constructing novel biological parts, devices, and systems have inevitably come to the forefront due to potential misuse, abuse, and environmental risks from unintended exposure or potential ecological impacts. The International Genetically Engineered Machine (iGEM) competition often serves as the inception of many synthetic biologists' research careers and plays a pivotal role in the secure progression of the entire synthetic biology field. Even with iGEM's emphasis on biosafety and biosecurity, continuous risk assessment is crucial due to the potential for unforeseen consequences and the relative inexperience of many participants. In this study, possible risk points for the iGEM projects in 2022 were extracted. An attack tree that captures potential risks and threats from experimental procedures, ethical issues, and hardware safety for each iGEM-based attack scenario is constructed. It is found that most of the attack scenarios are related to experimental procedures. The relative likelihood of each scenario is then determined by using an established assessment framework. This research expands the traditionally qualitative analysis of risk society theory, reveals the risk formation in the synthetic biology team, and provides practical implications.

摘要

随着合成生物学在众多前沿学科中得到广泛应用,由于潜在的误用、滥用以及意外暴露带来的环境风险或潜在的生态影响,设计和构建新型生物部件、装置及系统所涉及的生物安全和生物安保问题不可避免地成为了关注焦点。国际基因工程机器大赛(iGEM)常常是许多合成生物学家科研生涯的起点,在整个合成生物学领域的安全发展中起着关键作用。即便iGEM强调生物安全和生物安保,但由于可能出现不可预见的后果以及许多参与者相对缺乏经验,持续的风险评估至关重要。在本研究中,提取了2022年iGEM项目可能存在的风险点。构建了一个攻击树,用以捕捉基于iGEM的每种攻击场景在实验程序、伦理问题和硬件安全方面的潜在风险和威胁。研究发现,大多数攻击场景与实验程序有关。然后使用既定的评估框架确定每种场景的相对可能性。本研究拓展了风险社会理论传统的定性分析,揭示了合成生物学团队中的风险形成,并提供了实际意义。

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