Department of Molecular Biosciences, Northwestern University, Hogan 2-100, Evanston, IL 60208, USA.
Nucleic Acids Res. 2011 Dec;39(22):9746-58. doi: 10.1093/nar/gkr641. Epub 2011 Sep 5.
Three base pairs in the T-stem are primarily responsible for the sequence-specific interaction of tRNA with Escherichia coli and Thermus thermophilus EF-Tu. While the amino acids on the surface of EF-Tu that contact aminoacyl-tRNA (aa-tRNA) are highly conserved among bacteria, the T-stem sequences of individual tRNA are variable, making it unclear whether or not this protein-nucleic acid interaction is also sequence specific in other bacteria. We propose and validate a thermodynamic model that predicts the ΔG° of any tRNA to EF-Tu using the sequence of its three T-stem base pairs. Despite dramatic differences in T-stem sequences, the predicted ΔG° values for the majority of tRNA classes are similar in all bacteria and closely match the ΔG° values determined for E. coli tRNAs. Each individual tRNA class has evolved to have a characteristic ΔG° value to EF-Tu, but different T-stem sequences are used to achieve this ΔG° value in different bacteria. Thus, the compensatory relationship between the affinity of the tRNA body and the affinity of the esterified amino acid is universal among bacteria. Additionally, we predict and validate a small number of aa-tRNAs that bind more weakly to EF-Tu than expected and thus are candidates for acting as activated amino acid donors in processes outside of translation.
三对 T 茎碱基主要负责 tRNA 与大肠杆菌和嗜热栖热菌 EF-Tu 的序列特异性相互作用。虽然 EF-Tu 上与氨酰-tRNA(aa-tRNA)接触的氨基酸在细菌中高度保守,但单个 tRNA 的 T 茎序列是可变的,这使得不清楚这种蛋白质-核酸相互作用在其他细菌中是否也是序列特异性的。我们提出并验证了一个热力学模型,该模型使用其三个 T 茎碱基对来预测任何 tRNA 与 EF-Tu 的ΔG°。尽管 T 茎序列存在显著差异,但大多数 tRNA 类别的预测ΔG°值在所有细菌中都相似,并且与大肠杆菌 tRNA 确定的ΔG°值非常匹配。每个单独的 tRNA 类都进化到具有与 EF-Tu 相关的特征ΔG°值,但不同的 T 茎序列用于在不同的细菌中实现该ΔG°值。因此,tRNA 体的亲和力与酯化氨基酸的亲和力之间的补偿关系在细菌中是普遍存在的。此外,我们预测并验证了一小部分 aa-tRNA 与 EF-Tu 的结合力比预期的弱,因此它们可能是翻译过程之外作为激活氨基酸供体的候选者。