Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
King Abdullah University of Science and Technology, Core Labs, Thuwal, Saudi Arabia.
Mol Ecol Resour. 2020 Nov;20(6):1647-1657. doi: 10.1111/1755-0998.13229. Epub 2020 Aug 4.
Quantitative proteomics via mass spectrometry can provide valuable insight into molecular and phenotypic characteristics of a living system. Recent mass spectrometry developments include data-independent acquisition (SWATH/DIA-MS), an accurate, sensitive and reproducible method for analysing the whole proteome. The main requirement for this method is the creation of a comprehensive spectral library. New technologies have emerged producing larger and more accurate species-specific libraries leading to a progressive collection of proteome references for multiple molecular model species. Here, for the first time, we set out to compare different spectral library constructions using multiple tissues from a coral reef fish to demonstrate its value and feasibility for nonmodel organisms. We created a large spectral library composed of 12,553 protein groups from liver and brain tissues. Via identification of differentially expressed proteins under fish exposure to elevated pCO and temperature, we validated the application and usefulness of these different spectral libraries. Successful identification of significant differentially expressed proteins from different environmental exposures occurred using the library with a combination of data-independent and data-dependent acquisition methods as well as both tissue types. Further analysis revealed expected patterns of significantly up-regulated heat shock proteins in a dual condition of ocean warming and acidification indicating the biological accuracy and relevance of the method. This study provides the first reference spectral library for a nonmodel organism. It represents a useful guide for future building of accurate spectral library references in nonmodel organisms allowing the discovery of ecologically relevant changes in the proteome.
通过质谱的定量蛋白质组学可以深入了解生命系统的分子和表型特征。最近的质谱技术发展包括数据非依赖性采集(SWATH/DIA-MS),这是一种分析整个蛋白质组的准确、敏感和可重复的方法。这种方法的主要要求是创建一个全面的光谱库。新技术的出现产生了更大和更准确的物种特异性库,从而为多个分子模式物种的蛋白质组参考资料进行了逐步收集。在这里,我们首次使用来自珊瑚礁鱼类的多种组织来比较不同的光谱库构建,以证明其对于非模式生物的价值和可行性。我们从肝脏和脑组织中创建了一个由 12553 个蛋白质组组成的大型光谱库。通过鉴定鱼类暴露于高 pCO 和温度下差异表达的蛋白质,我们验证了这些不同光谱库的应用和实用性。使用结合了数据非依赖性和数据依赖性采集方法以及两种组织类型的光谱库成功鉴定了不同环境暴露下的显著差异表达蛋白质。进一步的分析显示,在海洋升温和酸化的双重条件下,热休克蛋白显著上调的预期模式表明了该方法的生物学准确性和相关性。本研究为非模式生物提供了第一个参考光谱库。它为非模式生物中准确的光谱库参考资料的未来构建提供了有用的指导,允许在蛋白质组中发现与生态相关的变化。