PLoS Computational Biology (Apr 2022)

Pairing statistics and melting of random DNA oligomers: Finding your partner in superdiverse environments.

  • Simone Di Leo,
  • Stefano Marni,
  • Carlos A Plata,
  • Tommaso P Fraccia,
  • Gregory P Smith,
  • Amos Maritan,
  • Samir Suweis,
  • Tommaso Bellini

DOI
https://doi.org/10.1371/journal.pcbi.1010051
Journal volume & issue
Vol. 18, no. 4
p. e1010051

Abstract

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Understanding of the pairing statistics in solutions populated by a large number of distinct solute species with mutual interactions is a challenging topic, relevant in modeling the complexity of real biological systems. Here we describe, both experimentally and theoretically, the formation of duplexes in a solution of random-sequence DNA (rsDNA) oligomers of length L = 8, 12, 20 nucleotides. rsDNA solutions are formed by 4L distinct molecular species, leading to a variety of pairing motifs that depend on sequence complementarity and range from strongly bound, fully paired defectless helices to weakly interacting mismatched duplexes. Experiments and theory coherently combine revealing a hybridization statistics characterized by a prevalence of partially defected duplexes, with a distribution of type and number of pairing errors that depends on temperature. We find that despite the enormous multitude of inter-strand interactions, defectless duplexes are formed, involving a fraction up to 15% of the rsDNA chains at the lowest temperatures. Experiments and theory are limited here to equilibrium conditions.