Hayward Scott Al
University of Birmingham, College of Life and Environmental Sciences, School of Biological Sciences, Edgbaston, Birmingham B15 2TT, UK.
Curr Opin Insect Sci. 2014 Oct;4:35-41. doi: 10.1016/j.cois.2014.08.005. Epub 2014 Aug 13.
Omic technologies have revolutionised how environmental physiologists investigate stress response pathways. To date, however, omic screens typically constitute simple presence/absence correlations, and fall short of explaining mechanism. Disentangling function necessitates hypothesis-driven manipulation of selected molecular signals, and a systems level view will only come from more detailed tissue-specific and time series sampling. The increasing accessibility of omic applications means that species can be selected based on Krogh principles, but focus also needs to be given to core models where multi-platform approaches can be combined to provide a deeper understanding. This review highlights recent technological and intellectual advances in the application of omics to understanding insect stress adaptation, and sets out how to address remaining knowledge gaps.
组学技术彻底改变了环境生理学家研究应激反应途径的方式。然而，迄今为止，组学筛选通常只构成简单的存在/不存在相关性，未能解释其机制。要弄清楚功能，就需要对选定的分子信号进行假设驱动的操作，而系统层面的观点只能来自更详细的组织特异性和时间序列采样。组学应用的日益普及意味着可以根据克勒格原理选择物种，但还需要关注可以结合多平台方法以提供更深入理解的核心模型。本综述重点介绍了组学在理解昆虫应激适应方面应用的最新技术和知识进展，并阐述了如何填补剩余的知识空白。
