Mechanistic mapping of temperature-dependent ssDNA elasticity with oxDNA2 coarse-grained model

IF 2.2 4区 物理与天体物理 Q4 CHEMISTRY, PHYSICAL
Isaiah Eze Igwe, Saratu Abdulfatah
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引用次数: 0

Abstract

The mechanical behavior of single-stranded DNA (ssDNA) controls its biological function and underpins the design of DNA-based nanodevices, yet the microscopic origin of temperature-dependent elasticity remains incompletely quantified. Here, we use the salt-aware, sequence-dependent oxDNA2 coarse-grained model to map how intra-strand stacking and temperature jointly determine ssDNA mechanics for two prototypical homopolymers, poly(dA)50 and poly(dT)50, across 27–100 °C at 1.0 M monovalent salt. Large ensembles of independent simulations were used to extract equilibrium observables such as persistence length \({l}_{p}\), radius of gyration \({R}_{g}\), end-to-end distance \({R}_{\text{ee}}\), and equilibrium force–extension relations. We find that poly(dA) is substantially stiffer than poly(dT) at low temperature: \({l}_{p}\)​ = 44.8 ± 2.0 nm at 27 °C decreases to 10.0 ± 0.7 nm at 100 °C, while poly(dT) remains comparatively flexible, varying only from 1.40 ± 0.08 nm to 1.05 ± 0.04 nm. These macroscopic changes closely track the loss of intra-strand stacking. For poly(dA), the stacking fraction decreases from 0.70 ± 0.02 to 0.20 ± 0.01, whereas poly(dT) remains weakly stacked across the full range (< 0.10). Force–extension analysis shows that the wormlike chain (WLC) model captures low-force entropic elasticity but fails at intermediate extensions in strongly stacked poly(dA), where cooperative unstacking produces excess forces of ~ 8 to 10 pN near \(x\approx 0.6L\). The normalized root-mean-square residual at 27 °C is 0.22 for poly(dA), compared to 0.03 for poly(dT). When \({l}_{p}\) is normalized by its 27 °C value, both sequences collapse onto a single master curve as a function of stacking fraction (collapse slope ≈ 3.5 ± 0.3), indicating that fractional stacking loss serves as a unifying control parameter for thermal softening. These results quantitatively link microscopic stacking statistics to macroscopic elasticity, clarify the temperature-dependent limits of continuum polymer models, and provide a mechanistic framework for interpreting single-molecule stretching and ensemble measurements of ssDNA mechanics.

Graphical Abstract

The alternative text for this image may have been generated using AI.
用oxDNA2粗粒度模型对温度依赖的ssDNA弹性进行机理映射。
单链DNA (ssDNA)的力学行为控制着它的生物学功能,并支撑着基于DNA的纳米器件的设计,然而,温度依赖弹性的微观起源仍然没有完全量化。在这里,我们使用盐感知、序列依赖的氧化脱氧na2粗粒度模型来绘制链内堆叠和温度如何共同决定两种原型均聚聚合物(poly(dA)50和poly(dT)50)在27-100°C、1.0 M单价盐下的ssDNA力学。利用独立模拟的大集合提取平衡观测值,如持续长度l p、旋转半径R g、端到端距离R ee和平衡力-扩展关系。我们发现poly(dA)在低温下比poly(dT)硬得多:在27°C时p = 44.8±2.0 nm,在100°C时p = 10.0±0.7 nm,而poly(dT)保持相对柔性,仅在1.40±0.08 nm到1.05±0.04 nm之间变化。这些宏观变化密切跟踪链内堆叠的丢失。对于poly(dA),堆积分数从0.70±0.02下降到0.20±0.01,而poly(dT)在全范围内保持弱堆积(x≈0.6 L)。27°C时,poly(dA)的归一化均方根残差为0.22,而poly(dT)的残差为0.03。当l p按其27°C值归一化时,两个序列作为堆积分数的函数(崩塌斜率≈3.5±0.3)崩溃到单一的主曲线上,表明分数堆积损失是热软化的统一控制参数。这些结果定量地将微观堆积统计与宏观弹性联系起来,阐明了连续统聚合物模型的温度依赖极限,并为解释单分子拉伸和ssDNA力学的系综测量提供了一个机制框架。
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来源期刊
The European Physical Journal E
The European Physical Journal E CHEMISTRY, PHYSICAL-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
2.60
自引率
5.60%
发文量
92
审稿时长
3 months
期刊介绍: EPJ E publishes papers describing advances in the understanding of physical aspects of Soft, Liquid and Living Systems. Soft matter is a generic term for a large group of condensed, often heterogeneous systems -- often also called complex fluids -- that display a large response to weak external perturbations and that possess properties governed by slow internal dynamics. Flowing matter refers to all systems that can actually flow, from simple to multiphase liquids, from foams to granular matter. Living matter concerns the new physics that emerges from novel insights into the properties and behaviours of living systems. Furthermore, it aims at developing new concepts and quantitative approaches for the study of biological phenomena. Approaches from soft matter physics and statistical physics play a key role in this research. The journal includes reports of experimental, computational and theoretical studies and appeals to the broad interdisciplinary communities including physics, chemistry, biology, mathematics and materials science.
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