Decoding regulatory RNA function in bacteria

解码细菌中的调节RNA功能

• 批准号: DP220101938
• 负责人: A/Prof Jai Tree
• 金额: $ 41.18万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP220101938
• 关键词: Decoding; regulatory; RNA; function; bacteria

All complex biological processes in bacterial cells appear to utilise regulatory small RNAs to control gene expression, but we lack a systems-level understanding of their functions and mechanisms of control. This proposal aims to address this fundamental knowledge gap using machine learning and cutting-edge, systems-level techniques to determine how small RNA sequence and structure determines function. Small RNAs have been found to control a broad range of traits including metabolism, biofilm formation, antibiotic tolerance, and virulence. The work proposed here will enhance our ability to predict and control bacterial gene expression with potential future impacts on bioproduction, synthetic biology, and veterinary and medical microbiology.

细菌细胞中所有复杂的生物过程似乎都利用调节性小RNA来控制基因表达，但我们对其功能和控制机制缺乏系统层面的了解。该提案旨在利用机器学习和尖端的系统级技术来解决这一基本知识差距，以确定小 RNA 序列和结构如何决定功能。人们发现小RNA可以控制多种性状，包括新陈代谢、生物膜形成、抗生素耐受性和毒力。这里提出的工作将增强我们预测和控制细菌基因表达的能力，并对生物生产、合成生物学以及兽医和医学微生物学产生潜在的未来影响。