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A genome-wide view of mutation rate co-variation using multivariate analyses
BACKGROUND: While the abundance of available sequenced genomes has led to many studies of regional heterogeneity in mutation rates, the co-variation among rates of different mutation types remains largely unexplored, hindering a deeper understanding of mutagenesis and genome dynamics. Here, utilizin...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3129677/ https://www.ncbi.nlm.nih.gov/pubmed/21426544 http://dx.doi.org/10.1186/gb-2011-12-3-r27 |
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author | Ananda, Guruprasad Chiaromonte, Francesca Makova, Kateryna D |
author_facet | Ananda, Guruprasad Chiaromonte, Francesca Makova, Kateryna D |
author_sort | Ananda, Guruprasad |
collection | PubMed |
description | BACKGROUND: While the abundance of available sequenced genomes has led to many studies of regional heterogeneity in mutation rates, the co-variation among rates of different mutation types remains largely unexplored, hindering a deeper understanding of mutagenesis and genome dynamics. Here, utilizing primate and rodent genomic alignments, we apply two multivariate analysis techniques (principal components and canonical correlations) to investigate the structure of rate co-variation for four mutation types and simultaneously explore the associations with multiple genomic features at different genomic scales and phylogenetic distances. RESULTS: We observe a consistent, largely linear co-variation among rates of nucleotide substitutions, small insertions and small deletions, with some non-linear associations detected among these rates on chromosome X and near autosomal telomeres. This co-variation appears to be shaped by a common set of genomic features, some previously investigated and some novel to this study (nuclear lamina binding sites, methylated non-CpG sites and nucleosome-free regions). Strong non-linear relationships are also detected among genomic features near the centromeres of large chromosomes. Microsatellite mutability co-varies with other mutation rates at finer scales, but not at 1 Mb, and shows varying degrees of association with genomic features at different scales. CONCLUSIONS: Our results allow us to speculate about the role of different molecular mechanisms, such as replication, recombination, repair and local chromatin environment, in mutagenesis. The software tools developed for our analyses are available through Galaxy, an open-source genomics portal, to facilitate the use of multivariate techniques in future large-scale genomics studies. |
format | Online Article Text |
id | pubmed-3129677 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-31296772011-07-06 A genome-wide view of mutation rate co-variation using multivariate analyses Ananda, Guruprasad Chiaromonte, Francesca Makova, Kateryna D Genome Biol Research BACKGROUND: While the abundance of available sequenced genomes has led to many studies of regional heterogeneity in mutation rates, the co-variation among rates of different mutation types remains largely unexplored, hindering a deeper understanding of mutagenesis and genome dynamics. Here, utilizing primate and rodent genomic alignments, we apply two multivariate analysis techniques (principal components and canonical correlations) to investigate the structure of rate co-variation for four mutation types and simultaneously explore the associations with multiple genomic features at different genomic scales and phylogenetic distances. RESULTS: We observe a consistent, largely linear co-variation among rates of nucleotide substitutions, small insertions and small deletions, with some non-linear associations detected among these rates on chromosome X and near autosomal telomeres. This co-variation appears to be shaped by a common set of genomic features, some previously investigated and some novel to this study (nuclear lamina binding sites, methylated non-CpG sites and nucleosome-free regions). Strong non-linear relationships are also detected among genomic features near the centromeres of large chromosomes. Microsatellite mutability co-varies with other mutation rates at finer scales, but not at 1 Mb, and shows varying degrees of association with genomic features at different scales. CONCLUSIONS: Our results allow us to speculate about the role of different molecular mechanisms, such as replication, recombination, repair and local chromatin environment, in mutagenesis. The software tools developed for our analyses are available through Galaxy, an open-source genomics portal, to facilitate the use of multivariate techniques in future large-scale genomics studies. BioMed Central 2011 2011-03-22 /pmc/articles/PMC3129677/ /pubmed/21426544 http://dx.doi.org/10.1186/gb-2011-12-3-r27 Text en Copyright ©2011 Ananda et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Ananda, Guruprasad Chiaromonte, Francesca Makova, Kateryna D A genome-wide view of mutation rate co-variation using multivariate analyses |
title | A genome-wide view of mutation rate co-variation using multivariate analyses |
title_full | A genome-wide view of mutation rate co-variation using multivariate analyses |
title_fullStr | A genome-wide view of mutation rate co-variation using multivariate analyses |
title_full_unstemmed | A genome-wide view of mutation rate co-variation using multivariate analyses |
title_short | A genome-wide view of mutation rate co-variation using multivariate analyses |
title_sort | genome-wide view of mutation rate co-variation using multivariate analyses |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3129677/ https://www.ncbi.nlm.nih.gov/pubmed/21426544 http://dx.doi.org/10.1186/gb-2011-12-3-r27 |
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