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理解和预测土壤群落中微生物基因转移的路线图。

A roadmap to understanding and anticipating microbial gene transfer in soil communities.

作者信息

Gillett David L, Selinidis Malyn, Seamons Travis, George Dalton, Igwe Alexandria N, Del Valle Ilenne, Egbert Robert G, Hofmockel Kirsten S, Johnson Alicia L, Matthews Kirstin R W, Masiello Caroline A, Stadler Lauren B, Chappell James, Silberg Jonathan J

机构信息

Department of Biosciences, Rice University, Houston, Texas, USA.

School for the Future of Innovation in Society, Arizona State University, Tempe, Arizona, USA.

出版信息

Microbiol Mol Biol Rev. 2025 Jun 25;89(2):e0022524. doi: 10.1128/mmbr.00225-24. Epub 2025 Apr 8.

Abstract

SUMMARYEngineered microbes are being programmed using synthetic DNA for applications in soil to overcome global challenges related to climate change, energy, food security, and pollution. However, we cannot yet predict gene transfer processes in soil to assess the frequency of unintentional transfer of engineered DNA to environmental microbes when applying synthetic biology technologies at scale. This challenge exists because of the complex and heterogeneous characteristics of soils, which contribute to the fitness and transport of cells and the exchange of genetic material within communities. Here, we describe knowledge gaps about gene transfer across soil microbiomes. We propose strategies to improve our understanding of gene transfer across soil communities, highlight the need to benchmark the performance of biocontainment measures , and discuss responsibly engaging community stakeholders. We highlight opportunities to address knowledge gaps, such as creating a set of soil standards for studying gene transfer across diverse soil types and measuring gene transfer host range across microbiomes using emerging technologies. By comparing gene transfer rates, host range, and persistence of engineered microbes across different soils, we posit that community-scale, environment-specific models can be built that anticipate biotechnology risks. Such studies will enable the design of safer biotechnologies that allow us to realize the benefits of synthetic biology and mitigate risks associated with the release of such technologies.

摘要

摘要

工程微生物正通过合成DNA进行编程,以应用于土壤,应对与气候变化、能源、粮食安全和污染相关的全球挑战。然而,在大规模应用合成生物技术时,我们尚无法预测土壤中的基因转移过程,以评估工程DNA意外转移至环境微生物的频率。之所以存在这一挑战,是因为土壤具有复杂且异质的特性,这些特性影响细胞的适应性和迁移以及群落内遗传物质的交换。在此,我们描述了关于跨土壤微生物群落基因转移的知识空白。我们提出了一些策略,以增进我们对跨土壤群落基因转移的理解,强调了对生物遏制措施的性能进行基准测试的必要性,并讨论了与社区利益相关者进行负责任的互动。我们强调了填补知识空白的机会,例如创建一套用于研究跨不同土壤类型基因转移的土壤标准,以及使用新兴技术测量跨微生物群落的基因转移宿主范围。通过比较不同土壤中工程微生物的基因转移速率、宿主范围和持久性,我们认为可以构建社区规模、针对特定环境的模型来预测生物技术风险。此类研究将有助于设计更安全的生物技术,使我们能够实现合成生物学的益处,并降低与此类技术释放相关的风险。

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