Park Jonghan, Prokopchuk Galina, Popchock Andrew R, Hao Jingzhou, Liao Ting-Wei, Yan Sophia, Hedman Dylan J, Larson Joshua D, Walther Brandon K, Becker Nicole A, Basu Aakash, Maher L James, Wheeler Richard J, Asbury Charles L, Biggins Sue, Lukeš Julius, Ha Taekjip
College of Medicine, Yonsei University, Seoul, Republic of Korea.
Howard Hughes Medical Institute and Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, USA.
bioRxiv. 2024 Dec 23:2024.12.22.629997. doi: 10.1101/2024.12.22.629997.
Connections between the mechanical properties of DNA and biological functions have been speculative due to the lack of methods to measure or predict DNA mechanics at scale. Recently, a proxy for DNA mechanics, cyclizability, was measured by loop-seq and enabled genome-scale investigation of DNA mechanics. Here, we use this dataset to build a computational model predicting bias-corrected intrinsic cyclizability, with near-perfect accuracy, solely based on DNA sequence. Further, the model predicts intrinsic bending direction in 3D space. Using this tool, we aimed to probe mechanical selection - that is, the evolutionary selection of DNA sequence based on its mechanical properties - in diverse circumstances. First, we found that the intrinsic bend direction of DNA sequences correlated with the observed bending in known protein-DNA complex structures, suggesting that many proteins co-evolved with their DNA partners to capture DNA in its intrinsically preferred bent conformation. We then applied our model to large-scale yeast population genetics data and showed that centromere DNA element II, whose consensus sequence is unknown, leaving its sequence-specific role unclear, is under mechanical selection to increase the stability of inner-kinetochore structure and to facilitate centromeric histone recruitment. Finally, evolution under strong mechanical selection discovered hallucinated sequences with cyclizability values so extreme that they required experimental validation, yet, found in nature in the densely packed mitochondrial(mt) DNA of , an ocean-dwelling protist with extreme mitochondrial gene fragmentation. The need to transmit an extraordinarily large amount of mtDNA, estimated to be > 600 Mb, in combination with the absence of mtDNA compaction proteins may have pushed mechanical selection to the extreme. Similarly extreme DNA mechanics are observed in bird microchromosomes, although the functional consequence is not yet clear. The discovery of eccentric DNA mechanics in unrelated unicellular and multicellular eukaryotes suggests that we can predict extreme natural biology which can arise through strong selection. Our methods offer a way to study the biological functions of DNA mechanics in any genome and to engineer DNA sequences with desired mechanical properties.
由于缺乏在基因组尺度上测量或预测DNA力学性质的方法,DNA力学性质与生物学功能之间的联系一直存在推测性。最近,通过环化测序测量了一种DNA力学性质的替代指标——环化能力,并实现了对DNA力学性质的全基因组尺度研究。在这里,我们利用这个数据集构建了一个计算模型,仅基于DNA序列就能以近乎完美的准确率预测偏差校正后的内在环化能力。此外,该模型还能预测三维空间中的内在弯曲方向。利用这个工具,我们旨在探究在不同情况下的机械选择,即基于DNA力学性质对DNA序列进行的进化选择。首先,我们发现DNA序列的内在弯曲方向与已知蛋白质-DNA复合物结构中观察到的弯曲相关,这表明许多蛋白质与其DNA伙伴共同进化,以捕获处于其内在偏好弯曲构象的DNA。然后,我们将模型应用于大规模酵母群体遗传学数据,结果表明着丝粒DNA元件II(其共有序列未知,序列特异性作用尚不清楚)受到机械选择,以增加内着丝粒结构的稳定性并促进着丝粒组蛋白的募集。最后,在强机械选择下的进化发现了环化能力值极为极端的幻觉序列,这些序列需要实验验证,但在一种海洋原生生物的紧密堆积的线粒体(mt)DNA中自然存在,该原生生物具有极端的线粒体基因片段化。传递估计超过600 Mb的大量mtDNA的需求,再加上缺乏mtDNA压缩蛋白,可能将机械选择推向了极端。在鸟类微染色体中也观察到了类似的极端DNA力学性质,尽管其功能后果尚不清楚。在不相关的单细胞和多细胞真核生物中发现异常的DNA力学性质表明,我们可以预测通过强选择可能出现的极端自然生物学现象。我们的方法为研究任何基因组中DNA力学性质的生物学功能以及设计具有所需力学性质的DNA序列提供了一条途径。