English

Tug-of-War in a Double-Nanopore System

Soft Condensed Matter 2020-06-18 v3

Abstract

We simulate a tug-of-war (TOW) scenario for a model double-stranded DNA threading through a double nanopore (DNP) system. The DNA, simultaneously captured at both pores is subject to two equal and opposite forces fL=fR-\vec{f}_L= \vec{f}_R (TOW), where fL\vec{f}_L and fR\vec{f}_R are the forces applied to the left and the right pore respectively. Even though the net force on the DNA polymer ΔfLR=fL+fR=0\Delta \vec{f}_{LR}=\vec{f}_L+ \vec{f}_R=0, the mean first passage time (MFPT) τ\langle \tau \rangle depends on the magnitude of the TOW forces fL=fR=fLR \left | f_L \right | = \left |f_R \right | = f_{LR}. We qualitatively explain this dependence of τ\langle \tau \rangle on fLRf_{LR} from the known results for the single-pore translocation of a triblock copolymer. We demonstrate that the time of flight (TOF) of a monomer with index mm (τLR(m)\langle \tau_{LR}(m) \rangle) from one pore to the other exhibits quasi-periodic structure commensurate with the distance between the pores dLRd_{LR}. Finally, we study the case ΔfLR=fL+fR0\Delta \vec{f}_{LR}=\vec{f}_L+ \vec{f}_R \ne 0, and qualitatively reproduce the experimental result of the dependence of the MFPT on ΔfLR\Delta\vec{f}_{LR}. For a moderate bias, the MFPT for the DNP system for a chain length NN follows the same scaling ansatz as that of for the single nanopore, τ=(AN1+ν+ηporeN)(ΔfLR)1\langle \tau \rangle = \left( AN^{1+\nu} + \eta_{pore}N \right) \left(\Delta f_{LR}\right)^{-1}, where ηpore\eta_{pore} is the pore friction, which enables us to estimate τ\langle \tau \rangle for a long chain. Our Brownian dynamics simulation studies provide fundamental insights and valuable information about the details of the translocation speed obtained from τLR(m)\langle \tau_{LR}(m) \rangle, and accuracy of the translation of the data obtained in the time-domain to units of genomic distances.

Keywords

Cite

@article{arxiv.2003.07755,
  title  = {Tug-of-War in a Double-Nanopore System},
  author = {Aniket Bhattacharya and Swarnadeep Seth},
  journal= {arXiv preprint arXiv:2003.07755},
  year   = {2020}
}

Comments

8 Pages, 7 figures