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New Maximum Likelihood Estimators for Eukaryotic Intron Evolution
The evolution of spliceosomal introns remains poorly understood. Although many approaches have been used to infer intron evolution from the patterns of intron position conservation, the results to date have been contradictory. In this paper, we address the problem using a novel maximum likelihood me...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2005
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1323467/ https://www.ncbi.nlm.nih.gov/pubmed/16389300 http://dx.doi.org/10.1371/journal.pcbi.0010079 |
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author | Nguyen, Hung D Yoshihama, Maki Kenmochi, Naoya |
author_facet | Nguyen, Hung D Yoshihama, Maki Kenmochi, Naoya |
author_sort | Nguyen, Hung D |
collection | PubMed |
description | The evolution of spliceosomal introns remains poorly understood. Although many approaches have been used to infer intron evolution from the patterns of intron position conservation, the results to date have been contradictory. In this paper, we address the problem using a novel maximum likelihood method, which allows estimation of the frequency of intron insertion target sites, together with the rates of intron gain and loss. We analyzed the pattern of 10,044 introns (7,221 intron positions) in the conserved regions of 684 sets of orthologs from seven eukaryotes. We determined that there is an average of one target site per 11.86 base pairs (bp) (95% confidence interval, 9.27 to 14.39 bp). In addition, our results showed that: (i) overall intron gains are ~25% greater than intron losses, although specific patterns vary with time and lineage; (ii) parallel gains account for ~18.5% of shared intron positions; and (iii) reacquisition following loss accounts for ~0.5% of all intron positions. Our results should assist in resolving the long-standing problem of inferring the evolution of spliceosomal introns. |
format | Text |
id | pubmed-1323467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-13234672005-12-30 New Maximum Likelihood Estimators for Eukaryotic Intron Evolution Nguyen, Hung D Yoshihama, Maki Kenmochi, Naoya PLoS Comput Biol Research Article The evolution of spliceosomal introns remains poorly understood. Although many approaches have been used to infer intron evolution from the patterns of intron position conservation, the results to date have been contradictory. In this paper, we address the problem using a novel maximum likelihood method, which allows estimation of the frequency of intron insertion target sites, together with the rates of intron gain and loss. We analyzed the pattern of 10,044 introns (7,221 intron positions) in the conserved regions of 684 sets of orthologs from seven eukaryotes. We determined that there is an average of one target site per 11.86 base pairs (bp) (95% confidence interval, 9.27 to 14.39 bp). In addition, our results showed that: (i) overall intron gains are ~25% greater than intron losses, although specific patterns vary with time and lineage; (ii) parallel gains account for ~18.5% of shared intron positions; and (iii) reacquisition following loss accounts for ~0.5% of all intron positions. Our results should assist in resolving the long-standing problem of inferring the evolution of spliceosomal introns. Public Library of Science 2005-12 2005-12-30 /pmc/articles/PMC1323467/ /pubmed/16389300 http://dx.doi.org/10.1371/journal.pcbi.0010079 Text en Copyright: © 2005 Nguyen et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Nguyen, Hung D Yoshihama, Maki Kenmochi, Naoya New Maximum Likelihood Estimators for Eukaryotic Intron Evolution |
title | New Maximum Likelihood Estimators for Eukaryotic Intron Evolution |
title_full | New Maximum Likelihood Estimators for Eukaryotic Intron Evolution |
title_fullStr | New Maximum Likelihood Estimators for Eukaryotic Intron Evolution |
title_full_unstemmed | New Maximum Likelihood Estimators for Eukaryotic Intron Evolution |
title_short | New Maximum Likelihood Estimators for Eukaryotic Intron Evolution |
title_sort | new maximum likelihood estimators for eukaryotic intron evolution |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1323467/ https://www.ncbi.nlm.nih.gov/pubmed/16389300 http://dx.doi.org/10.1371/journal.pcbi.0010079 |
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