Abrusán György, Yant Stephen R, Szilágyi András, Marsh Joseph A, Mátés Lajos, Izsvák Zsuzsanna, Barabás Orsolya, Ivics Zoltán
MRC Human Genetics Unit, Institute of Genetics & Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK.
Institute of Biochemistry, Biological Research Center of the Hungarian Academy of Sciences, Szeged, Hungary.
Mol Ther. 2016 Aug;24(8):1369-77. doi: 10.1038/mt.2016.110. Epub 2016 Jun 6.
Transposases are important tools in genome engineering, and there is considerable interest in engineering more efficient ones. Here, we seek to understand the factors determining their activity using the Sleeping Beauty transposase. Recent work suggests that protein coevolutionary information can be used to classify groups of physically connected, coevolving residues into elements called "sectors", which have proven useful for understanding the folding, allosteric interactions, and enzymatic activity of proteins. Using extensive mutagenesis data, protein modeling and analysis of folding energies, we show that (i) The Sleeping Beauty transposase contains two sectors, which span across conserved domains, and are enriched in DNA-binding residues, indicating that the DNA binding and endonuclease functions of the transposase coevolve; (ii) Sector residues are highly sensitive to mutations, and most mutations of these residues strongly reduce transposition rate; (iii) Mutations with a strong effect on free energy of folding in the DDE domain of the transposase significantly reduce transposition rate. (iv) Mutations that influence DNA and protein-protein interactions generally reduce transposition rate, although most hyperactive mutants are also located on the protein surface, including residues with protein-protein interactions. This suggests that hyperactivity results from the modification of protein interactions, rather than the stabilization of protein fold.
转座酶是基因组工程中的重要工具,人们对设计出更高效的转座酶有着浓厚的兴趣。在此,我们试图利用睡美人转座酶来了解决定其活性的因素。最近的研究表明,蛋白质共进化信息可用于将物理上相连且共同进化的残基分组为称为“扇区”的元件,事实证明这些元件有助于理解蛋白质的折叠、变构相互作用和酶活性。通过广泛的诱变数据、蛋白质建模和折叠能分析,我们发现:(i)睡美人转座酶包含两个扇区,它们跨越保守结构域,且富含DNA结合残基,这表明转座酶的DNA结合和内切核酸酶功能共同进化;(ii)扇区残基对突变高度敏感,这些残基的大多数突变会大幅降低转座率;(iii)转座酶DDE结构域中对折叠自由能有强烈影响的突变会显著降低转座率。(iv)影响DNA和蛋白质-蛋白质相互作用的突变通常会降低转座率,尽管大多数超活性突变体也位于蛋白质表面,包括具有蛋白质-蛋白质相互作用的残基。这表明超活性是由蛋白质相互作用的改变导致的,而非蛋白质折叠的稳定。