MRC Centre for Medical Mycology, University of Exeter, Exeter, UK.
Methods Mol Biol. 2022;2542:103-114. doi: 10.1007/978-1-0716-2549-1_7.
Synthetic genetic interaction analysis is a powerful genetic strategy that analyzes the fitness and phenotypes of single- and double-gene mutant cells in order to dissect the interactions between genes, categorize into biological pathways, and characterize genes of unknown function. It has been extensively employed in model organisms for fundamental, systems-level assessment of the interactions between genes. However, more recently, genetic interaction mapping has been applied to fungal pathogens and has been instrumental for the study of clinically important infectious organisms. This protocol herein explains in the detail the methodology and analysis that can be employed to develop interaction maps in microbial pathogens. Such techniques can aid in bridging our understanding of complex genetic networks, with applications to diverse microbial pathogens to further our understanding of virulence, the use of antimicrobial therapies, and host-pathogen interactions.
合成遗传交互作用分析是一种强大的遗传策略，它分析单基因和双基因突变细胞的适应性和表型，以剖析基因之间的相互作用，分类到生物途径，并描述未知功能的基因。它已在模型生物中被广泛用于对基因之间相互作用的基础和系统水平的评估。然而，最近，遗传交互作用图谱已被应用于真菌病原体，并对研究临床重要的感染性生物体具有重要作用。本文详细介绍了可以用于开发微生物病原体相互作用图谱的方法学和分析。这些技术可以帮助我们理解复杂的遗传网络，并应用于不同的微生物病原体，以进一步了解毒力、抗菌治疗的应用和宿主-病原体相互作用。
