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Pairing statistics and melting of random DNA oligomers: Finding your partner in superdiverse environments
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 duple...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022813/ https://www.ncbi.nlm.nih.gov/pubmed/35404933 http://dx.doi.org/10.1371/journal.pcbi.1010051 |
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author | Di Leo, Simone Marni, Stefano Plata, Carlos A. Fraccia, Tommaso P. Smith, Gregory P. Maritan, Amos Suweis, Samir Bellini, Tommaso |
author_facet | Di Leo, Simone Marni, Stefano Plata, Carlos A. Fraccia, Tommaso P. Smith, Gregory P. Maritan, Amos Suweis, Samir Bellini, Tommaso |
author_sort | Di Leo, Simone |
collection | PubMed |
description | 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 4(L) 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. |
format | Online Article Text |
id | pubmed-9022813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-90228132022-04-22 Pairing statistics and melting of random DNA oligomers: Finding your partner in superdiverse environments Di Leo, Simone Marni, Stefano Plata, Carlos A. Fraccia, Tommaso P. Smith, Gregory P. Maritan, Amos Suweis, Samir Bellini, Tommaso PLoS Comput Biol Research Article 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 4(L) 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. Public Library of Science 2022-04-11 /pmc/articles/PMC9022813/ /pubmed/35404933 http://dx.doi.org/10.1371/journal.pcbi.1010051 Text en © 2022 Di Leo et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Di Leo, Simone Marni, Stefano Plata, Carlos A. Fraccia, Tommaso P. Smith, Gregory P. Maritan, Amos Suweis, Samir Bellini, Tommaso Pairing statistics and melting of random DNA oligomers: Finding your partner in superdiverse environments |
title | Pairing statistics and melting of random DNA oligomers: Finding your partner in superdiverse environments |
title_full | Pairing statistics and melting of random DNA oligomers: Finding your partner in superdiverse environments |
title_fullStr | Pairing statistics and melting of random DNA oligomers: Finding your partner in superdiverse environments |
title_full_unstemmed | Pairing statistics and melting of random DNA oligomers: Finding your partner in superdiverse environments |
title_short | Pairing statistics and melting of random DNA oligomers: Finding your partner in superdiverse environments |
title_sort | pairing statistics and melting of random dna oligomers: finding your partner in superdiverse environments |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022813/ https://www.ncbi.nlm.nih.gov/pubmed/35404933 http://dx.doi.org/10.1371/journal.pcbi.1010051 |
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