蛋白质组                        
                
                                
                        
                            生物                        
                
                                
                        
                            适应(眼睛)                        
                
                                
                        
                            计算生物学                        
                
                                
                        
                            进化生物学                        
                
                                
                        
                            基因组                        
                
                                
                        
                            有机体                        
                
                                
                        
                            功能(生物学)                        
                
                                
                        
                            遗传学                        
                
                                
                        
                            基因                        
                
                                
                        
                            神经科学                        
                
                        
                    
            作者
            
                Christopher G. Knight,Rees Kassen,Holger Hebestreit,Paul B. Rainey            
         
                    
        
    
            
            标识
            
                                    DOI:10.1073/pnas.0307270101
                                    
                                
                                 
         
        
                
            摘要
            
            The physical characteristics of proteins are fundamentally important in organismal function. We used the complete predicted proteomes of >100 organisms spanning the three domains of life to investigate the comparative biology and evolution of proteomes. Theoretical 2D gels were constructed with axes of protein mass and charge (pI) and converted to density estimates comparable across all types and sizes of proteome. We asked whether we could detect general patterns of proteome conservation and variation. The overall pattern of theoretical 2D gels was strongly conserved across all life forms. Nevertheless, coevolved replicons from the same organism (different chromosomes or plasmid and host chromosomes) encode proteomes more similar to each other than those from different organisms. Furthermore, there was disparity between the membrane and nonmembrane subproteomes within organisms (proteins of membrane proteomes are on the average more basic and heavier) and their variation across organisms, suggesting that membrane proteomes evolve most rapidly. Experimentally, a significant positive relationship independent of phylogeny was found between the predicted proteome and Biolog profile, a measure associated with the ecological niche. Finally, we show that, for the smallest and most alkaline proteomes, there is a negative relationship between proteome size and basicity. This relationship is not adequately explained by AT bias at the DNA sequence level. Together, these data provide evidence of functional adaptation in the properties of complete proteomes.
         
            
 
                 
                
                    
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