Department of Pathology and Immunology, Washington University School of Medicine, St Louis, United States.
Duchossois Family Institute, University of Chicago, Chicago, United States.
Elife. 2022 Aug 17;11:e74104. doi: 10.7554/eLife.74104.
Cellular behaviors emerge from layers of molecular interactions: proteins interact to form complexes, pathways, and phenotypes. We show that hierarchical networks of protein interactions can be defined from the statistical pattern of proteome variation measured across thousands of diverse bacteria and that these networks reflect the emergence of complex bacterial phenotypes. Our results are validated through gene-set enrichment analysis and comparison to existing experimentally derived databases. We demonstrate the biological utility of our approach by creating a model of motility in and using it to identify a protein that affects pilus-mediated motility. Our method, SCALES (Spectral Correlation Analysis of Layered Evolutionary Signals), may be useful for interrogating genotype-phenotype relationships in bacteria.
蛋白质相互作用形成复合物、途径和表型。我们表明，从数千种不同细菌中测量的蛋白质组变化的统计模式，可以定义蛋白质相互作用的层次网络，并且这些网络反映了复杂细菌表型的出现。我们的结果通过基因集富集分析和与现有实验得出的数据库进行比较得到验证。我们通过创建 和 中的运动模型并利用它来识别影响菌毛介导的运动的蛋白质，展示了我们方法的生物学实用性。我们的方法 SCALES（分层进化信号的光谱相关分析），可能有助于研究细菌中的基因型-表型关系。
