Kyritsis Konstantinos A, Ouzounis Christos A, Angelis Lefteris, Vizirianakis Ioannis S
Laboratory of Pharmacology, School of Pharmacy, Aristotle University of Thessaloniki, GR-54124 Thessalonica, Greece.
Biological Computation & Process Laboratory, Chemical Process & Energy Resources Institute, Centre for Research & Technology Hellas, GR-57001 Thessalonica, Greece.
NAR Genom Bioinform. 2020 Nov 6;2(4):lqaa088. doi: 10.1093/nargab/lqaa088. eCollection 2020 Dec.
Ribosomal genes produce the constituents of the ribosome, one of the most conserved subcellular structures of all cells, from bacteria to eukaryotes, including animals. There are notions that some protein-coding ribosomal genes vary in their roles across species, particularly vertebrates, through the involvement of some in a number of genetic diseases. Based on extensive sequence comparisons and systematic curation, we establish a reference set for ribosomal proteins (RPs) in eleven vertebrate species and quantify their sequence conservation levels. Moreover, we correlate their coordinated gene expression patterns within up to 33 tissues and assess the exceptional role of paralogs in tissue specificity. Importantly, our analysis supported by the development and use of machine learning models strongly proposes that the variation in the observed tissue-specific gene expression of RPs is rather species-related and not due to tissue-based evolutionary processes. The data obtained suggest that RPs exhibit a complex relationship between their structure and function that broadly maintains a consistent expression landscape across tissues, while most of the variation arises from species idiosyncrasies. The latter may be due to evolutionary change and adaptation, rather than functional constraints at the tissue level throughout the vertebrate lineage.
核糖体基因产生核糖体的组成成分,核糖体是所有细胞中最保守的亚细胞结构之一,从细菌到真核生物,包括动物。有观点认为,一些蛋白质编码核糖体基因在不同物种,特别是脊椎动物中,通过参与一些遗传疾病,其作用有所不同。基于广泛的序列比较和系统整理,我们建立了11种脊椎动物核糖体蛋白(RP)的参考集,并量化了它们的序列保守水平。此外,我们关联了它们在多达33种组织中的协同基因表达模式,并评估了旁系同源物在组织特异性中的特殊作用。重要的是,我们的分析在机器学习模型的开发和使用的支持下,有力地表明,观察到的核糖体蛋白组织特异性基因表达的差异与物种相关,而非基于组织的进化过程。所获得的数据表明,核糖体蛋白在其结构和功能之间表现出复杂的关系,这种关系在各组织中大致保持一致的表达格局,而大部分差异源于物种特异性。后者可能是由于进化变化和适应,而非整个脊椎动物谱系中组织水平的功能限制。