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Unraveling the palindromic and nonpalindromic motifs of retroviral integration site sequences by statistical mixture models
A weak palindromic nucleotide motif is the hallmark of retroviral integration site alignments. Given that the majority of target sequences are not palindromic, the current model explains the symmetry by an overlap of the nonpalindromic motif present on one of the half-sites of the sequences. Here, w...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547254/ https://www.ncbi.nlm.nih.gov/pubmed/37463751 http://dx.doi.org/10.1101/gr.277694.123 |
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author | Miklík, Dalibor Grim, Jiří Elleder, Daniel Hejnar, Jiří |
author_facet | Miklík, Dalibor Grim, Jiří Elleder, Daniel Hejnar, Jiří |
author_sort | Miklík, Dalibor |
collection | PubMed |
description | A weak palindromic nucleotide motif is the hallmark of retroviral integration site alignments. Given that the majority of target sequences are not palindromic, the current model explains the symmetry by an overlap of the nonpalindromic motif present on one of the half-sites of the sequences. Here, we show that the implementation of multicomponent mixture models allows for different interpretations consistent with the existence of both palindromic and nonpalindromic submotifs in the sets of integration site sequences. We further show that the weak palindromic motifs result from freely combined site-specific submotifs restricted to only a few positions proximal to the site of integration. The submotifs are formed by either palindrome-forming nucleotide preference or nucleotide exclusion. Using the mixture models, we also identify HIV-1-favored palindromic sequences in Alu repeats serving as local hotspots for integration. The application of the novel statistical approach provides deeper insight into the selection of retroviral integration sites and may prove to be a valuable tool in the analysis of any type of DNA motifs. |
format | Online Article Text |
id | pubmed-10547254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105472542023-10-04 Unraveling the palindromic and nonpalindromic motifs of retroviral integration site sequences by statistical mixture models Miklík, Dalibor Grim, Jiří Elleder, Daniel Hejnar, Jiří Genome Res Methods A weak palindromic nucleotide motif is the hallmark of retroviral integration site alignments. Given that the majority of target sequences are not palindromic, the current model explains the symmetry by an overlap of the nonpalindromic motif present on one of the half-sites of the sequences. Here, we show that the implementation of multicomponent mixture models allows for different interpretations consistent with the existence of both palindromic and nonpalindromic submotifs in the sets of integration site sequences. We further show that the weak palindromic motifs result from freely combined site-specific submotifs restricted to only a few positions proximal to the site of integration. The submotifs are formed by either palindrome-forming nucleotide preference or nucleotide exclusion. Using the mixture models, we also identify HIV-1-favored palindromic sequences in Alu repeats serving as local hotspots for integration. The application of the novel statistical approach provides deeper insight into the selection of retroviral integration sites and may prove to be a valuable tool in the analysis of any type of DNA motifs. Cold Spring Harbor Laboratory Press 2023-08 /pmc/articles/PMC10547254/ /pubmed/37463751 http://dx.doi.org/10.1101/gr.277694.123 Text en © 2023 Miklík et al.; Published by Cold Spring Harbor Laboratory Press https://creativecommons.org/licenses/by-nc/4.0/This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Methods Miklík, Dalibor Grim, Jiří Elleder, Daniel Hejnar, Jiří Unraveling the palindromic and nonpalindromic motifs of retroviral integration site sequences by statistical mixture models |
title | Unraveling the palindromic and nonpalindromic motifs of retroviral integration site sequences by statistical mixture models |
title_full | Unraveling the palindromic and nonpalindromic motifs of retroviral integration site sequences by statistical mixture models |
title_fullStr | Unraveling the palindromic and nonpalindromic motifs of retroviral integration site sequences by statistical mixture models |
title_full_unstemmed | Unraveling the palindromic and nonpalindromic motifs of retroviral integration site sequences by statistical mixture models |
title_short | Unraveling the palindromic and nonpalindromic motifs of retroviral integration site sequences by statistical mixture models |
title_sort | unraveling the palindromic and nonpalindromic motifs of retroviral integration site sequences by statistical mixture models |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547254/ https://www.ncbi.nlm.nih.gov/pubmed/37463751 http://dx.doi.org/10.1101/gr.277694.123 |
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