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Recurrent structural RNA motifs, Isostericity Matrices and sequence alignments
The occurrences of two recurrent motifs in ribosomal RNA sequences, the Kink-turn and the C-loop, are examined in crystal structures and systematically compared with sequence alignments of rRNAs from the three kingdoms of life in order to identify the range of the structural and sequence variations....
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1087784/ https://www.ncbi.nlm.nih.gov/pubmed/15860776 http://dx.doi.org/10.1093/nar/gki535 |
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author | Lescoute, Aurélie Leontis, Neocles B. Massire, Christian Westhof, Eric |
author_facet | Lescoute, Aurélie Leontis, Neocles B. Massire, Christian Westhof, Eric |
author_sort | Lescoute, Aurélie |
collection | PubMed |
description | The occurrences of two recurrent motifs in ribosomal RNA sequences, the Kink-turn and the C-loop, are examined in crystal structures and systematically compared with sequence alignments of rRNAs from the three kingdoms of life in order to identify the range of the structural and sequence variations. Isostericity Matrices are used to analyze structurally the sequence variations of the characteristic non-Watson–Crick base pairs for each motif. We show that Isostericity Matrices for non-Watson–Crick base pairs provide important tools for deriving the sequence signatures of recurrent motifs, for scoring and refining sequence alignments, and for determining whether motifs are conserved throughout evolution. The systematic use of Isostericity Matrices identifies the positions of the insertion or deletion of one or more nucleotides relative to the structurally characterized examples of motifs and, most importantly, specifies whether these changes result in new motifs. Thus, comparative analysis coupled with Isostericity Matrices allows one to produce and refine structural sequence alignments. The analysis, based on both sequence and structure, permits therefore the evaluation of the conservation of motifs across phylogeny and the derivation of rules of equivalence between structural motifs. The conservations observed in Isostericity Matrices form a predictive basis for identifying motifs in sequences. |
format | Text |
id | pubmed-1087784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-10877842005-04-29 Recurrent structural RNA motifs, Isostericity Matrices and sequence alignments Lescoute, Aurélie Leontis, Neocles B. Massire, Christian Westhof, Eric Nucleic Acids Res Article The occurrences of two recurrent motifs in ribosomal RNA sequences, the Kink-turn and the C-loop, are examined in crystal structures and systematically compared with sequence alignments of rRNAs from the three kingdoms of life in order to identify the range of the structural and sequence variations. Isostericity Matrices are used to analyze structurally the sequence variations of the characteristic non-Watson–Crick base pairs for each motif. We show that Isostericity Matrices for non-Watson–Crick base pairs provide important tools for deriving the sequence signatures of recurrent motifs, for scoring and refining sequence alignments, and for determining whether motifs are conserved throughout evolution. The systematic use of Isostericity Matrices identifies the positions of the insertion or deletion of one or more nucleotides relative to the structurally characterized examples of motifs and, most importantly, specifies whether these changes result in new motifs. Thus, comparative analysis coupled with Isostericity Matrices allows one to produce and refine structural sequence alignments. The analysis, based on both sequence and structure, permits therefore the evaluation of the conservation of motifs across phylogeny and the derivation of rules of equivalence between structural motifs. The conservations observed in Isostericity Matrices form a predictive basis for identifying motifs in sequences. Oxford University Press 2005 2005-04-28 /pmc/articles/PMC1087784/ /pubmed/15860776 http://dx.doi.org/10.1093/nar/gki535 Text en © The Author 2005. Published by Oxford University Press. All rights reserved |
spellingShingle | Article Lescoute, Aurélie Leontis, Neocles B. Massire, Christian Westhof, Eric Recurrent structural RNA motifs, Isostericity Matrices and sequence alignments |
title | Recurrent structural RNA motifs, Isostericity Matrices and sequence alignments |
title_full | Recurrent structural RNA motifs, Isostericity Matrices and sequence alignments |
title_fullStr | Recurrent structural RNA motifs, Isostericity Matrices and sequence alignments |
title_full_unstemmed | Recurrent structural RNA motifs, Isostericity Matrices and sequence alignments |
title_short | Recurrent structural RNA motifs, Isostericity Matrices and sequence alignments |
title_sort | recurrent structural rna motifs, isostericity matrices and sequence alignments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1087784/ https://www.ncbi.nlm.nih.gov/pubmed/15860776 http://dx.doi.org/10.1093/nar/gki535 |
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