Evolutionary origins of human apoptosis and genome-stability gene networks

被引:17
作者
Castro, Mauro A. A. [1 ,2 ]
Dalmolin, Rodrigo J. S. [1 ]
Moreira, Jose C. F. [1 ]
Mombach, Jose C. M. [3 ]
de Almeida, Rita M. C. [4 ]
机构
[1] Univ Fed Rio Grande do Sul, Dept Biochem, Bioinformat Unit, BR-90035003 Porto Alegre, RS, Brazil
[2] Lutheran Univ, Dept Biol Sci, BR-94170240 Gravatai, Brazil
[3] Univ Fed Santa Maria, Dept Phys, BR-97105900 Santa Maria, RS, Brazil
[4] Univ Fed Rio Grande do Sul, Inst Phys, BR-91501970 Porto Alegre, RS, Brazil
关键词
D O I
10.1093/nar/gkn636
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Apoptosis is essential for complex multicellular organisms and its failure is associated with genome instability and cancer. Interactions between apoptosis and genome-maintenance mechanisms have been extensively documented and include transactivation-independent and -dependent functions, in which the tumor-suppressor protein p53 works as a molecular node in the DNA-damage response. Although apoptosis and genome stability have been identified as ancient pathways in eukaryote phylogeny, the biological evolution underlying the emergence of an integrated system remains largely unknown. Here, using computational methods, we reconstruct the evolutionary scenario that linked apoptosis with genome stability pathways in a functional human gene/protein association network. We found that the entanglement of DNA repair, chromosome stability and apoptosis gene networks appears with the caspase gene family and the antiapoptotic gene BCL2. Also, several critical nodes that entangle apoptosis and genome stability are cancer genes (e.g. ATM, BRCA1, BRCA2, MLH1, MSH2, MSH6 and TP53), although their orthologs have arisen in different points of evolution. Our results demonstrate how genome stability and apoptosis were co-opted during evolution recruiting genes that merge both systems. We also provide several examples to exploit this evolutionary platform, where we have judiciously extended information on gene essentiality inferred from model organisms to human.
引用
收藏
页码:6269 / 6283
页数:15
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