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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...

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Autores principales: Ananda, Guruprasad, Chiaromonte, Francesca, Makova, Kateryna D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
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.
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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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