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

Academic Article
Publication Date:
2022
Citation:
Pairing statistics and melting of random DNA oligomers: Finding your partner in superdiverse environments / S. Di Leo, S.M.. - In: PLOS COMPUTATIONAL BIOLOGY. - ISSN 1553-734X. - 18:4(2022 Apr 11), pp. e1010051.1-e1010051.20. [10.1371/journal.pcbi.1010051]
abstract:
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.
IRIS type:
01 - Articolo su periodico
Keywords:
Nucleic Acid Conformation; Nucleic Acid Hybridization; Solutions; Temperature; Thermodynamics; DNA
List of contributors:
S. Di Leo, S. Marni, C.A. Plata, T.P. Fraccia, G.P. Smith, A. Maritan, S. Suweis, T. Bellini
Authors of the University:
BELLINI TOMMASO GIOVANNI ( author )
FRACCIA TOMMASO PIETRO ( author )
MARNI STEFANO ( author )
Link to information sheet:
https://air.unimi.it/handle/2434/943746
Full Text:
https://air.unimi.it/retrieve/handle/2434/943746/2089362/PLOS%20CB%2022.pdf
Project:
SOFT ADAPTIVE NETWORKS
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Settore FIS/07 - Fisica Applicata(Beni Culturali, Ambientali, Biol.e Medicin)
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