CRISPR-Cas-Based Biomonitoring for Marine Environments: Toward CRISPR RNA Design Optimization Via Deep Learning.
CRISPR-Cas-Based Biomonitoring for Marine Environments: Toward CRISPR RNA Design Optimization Via Deep Learning.
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DOI：
10.1089/crispr.2023.0019
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发表时间：
2023-07
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通讯作者：
B. Durán-Vinet;K. Araya-Castro;A. Zaiko;X. Pochon;S. Wood;Jo‐Ann L. Stanton;Gert‐Jan Jeunen;Michelle Scriver;Anya Kardailsky;Tzu-Chiao Chao;D. K. Ban;M. Moarefian;Kiana Aran;N. Gemmell
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作者：
B. Durán-Vinet;K. Araya-Castro;A. Zaiko;X. Pochon;S. Wood;Jo‐Ann L. Stanton;Gert‐Jan Jeunen;Michelle Scriver;Anya Kardailsky;Tzu-Chiao Chao;D. K. Ban;M. Moarefian;Kiana Aran;N. Gemmell
地球上几乎所有的海洋现在都受到多种人为压力源的影响，包括非本地物种的扩散、有害藻华和病原体。早期发现对于有效管理这些压力源并保护海洋系统及其提供的生态系统服务至关重要。分子工具已成为海洋生物监测的一种有前景的解决方案。最新进展之一涉及利用 CRISPR-Cas 技术构建可编程、快速、超灵敏和特异性的诊断。基于 CRISPR 的诊断 (CRISPR-Dx) 有潜力实现稳健、可靠且经济高效的近实时生物监测。然而，在 CRISPR-Dx 成为海洋生物监测的主流工具之前，必须克服一些挑战。一个尚未解决的关键挑战是需要设计、优化和实验验证 CRISPR-Dx 检测。人工智能最近被认为是应对这一挑战的潜在方法。这一观点综合了 CRISPR-Dx 和机器学习建模方法的最新进展，展示了 CRISPR-Dx 作为海洋生物监测应用的新兴分子工具候选者的发展潜力。
Almost all of Earth's oceans are now impacted by multiple anthropogenic stressors, including the spread of nonindigenous species, harmful algal blooms, and pathogens. Early detection is critical to manage these stressors effectively and to protect marine systems and the ecosystem services they provide. Molecular tools have emerged as a promising solution for marine biomonitoring. One of the latest advancements involves utilizing CRISPR-Cas technology to build programmable, rapid, ultrasensitive, and specific diagnostics. CRISPR-based diagnostics (CRISPR-Dx) has the potential to allow robust, reliable, and cost-effective biomonitoring in near real time. However, several challenges must be overcome before CRISPR-Dx can be established as a mainstream tool for marine biomonitoring. A critical unmet challenge is the need to design, optimize, and experimentally validate CRISPR-Dx assays. Artificial intelligence has recently been presented as a potential approach to tackle this challenge. This perspective synthesizes recent advances in CRISPR-Dx and machine learning modeling approaches, showcasing CRISPR-Dx potential to progress as a rising molecular tool candidate for marine biomonitoring applications.