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Detecting Horizontally Transferred and Essential Genes Based on Dinucleotide Relative Abundance
Various methods have been developed to detect horizontal gene transfer in bacteria, based on anomalous nucleotide composition, assuming that compositional features undergo amelioration in the host genome. Evolutionary theory predicts the inevitability of false positives when essential sequences are...
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2575891/ https://www.ncbi.nlm.nih.gov/pubmed/18799480 http://dx.doi.org/10.1093/dnares/dsn021 |
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author | Baran, Robert H. Ko, Hanseok |
author_facet | Baran, Robert H. Ko, Hanseok |
author_sort | Baran, Robert H. |
collection | PubMed |
description | Various methods have been developed to detect horizontal gene transfer in bacteria, based on anomalous nucleotide composition, assuming that compositional features undergo amelioration in the host genome. Evolutionary theory predicts the inevitability of false positives when essential sequences are strongly conserved. Foreign genes could become more detectable on the basis of their higher order compositions if such features ameliorate more rapidly and uniformly than lower order features. This possibility is tested by comparing the heterogeneities of bacterial genomes with respect to strand-independent first- and second-order features, (i) G + C content and (ii) dinucleotide relative abundance, in 1 kb segments. Although statistical analysis confirms that (ii) is less inhomogeneous than (i) in all 12 species examined, extreme anomalies with respect to (ii) in the Escherichia coli K12 genome are typically co-located with essential genes. |
format | Text |
id | pubmed-2575891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-25758912009-04-13 Detecting Horizontally Transferred and Essential Genes Based on Dinucleotide Relative Abundance Baran, Robert H. Ko, Hanseok DNA Res Full Papers Various methods have been developed to detect horizontal gene transfer in bacteria, based on anomalous nucleotide composition, assuming that compositional features undergo amelioration in the host genome. Evolutionary theory predicts the inevitability of false positives when essential sequences are strongly conserved. Foreign genes could become more detectable on the basis of their higher order compositions if such features ameliorate more rapidly and uniformly than lower order features. This possibility is tested by comparing the heterogeneities of bacterial genomes with respect to strand-independent first- and second-order features, (i) G + C content and (ii) dinucleotide relative abundance, in 1 kb segments. Although statistical analysis confirms that (ii) is less inhomogeneous than (i) in all 12 species examined, extreme anomalies with respect to (ii) in the Escherichia coli K12 genome are typically co-located with essential genes. Oxford University Press 2008-10 2008-09-16 /pmc/articles/PMC2575891/ /pubmed/18799480 http://dx.doi.org/10.1093/dnares/dsn021 Text en © The Author 2008. Kazusa DNA Research Institute |
spellingShingle | Full Papers Baran, Robert H. Ko, Hanseok Detecting Horizontally Transferred and Essential Genes Based on Dinucleotide Relative Abundance |
title | Detecting Horizontally Transferred and Essential Genes Based on Dinucleotide Relative Abundance |
title_full | Detecting Horizontally Transferred and Essential Genes Based on Dinucleotide Relative Abundance |
title_fullStr | Detecting Horizontally Transferred and Essential Genes Based on Dinucleotide Relative Abundance |
title_full_unstemmed | Detecting Horizontally Transferred and Essential Genes Based on Dinucleotide Relative Abundance |
title_short | Detecting Horizontally Transferred and Essential Genes Based on Dinucleotide Relative Abundance |
title_sort | detecting horizontally transferred and essential genes based on dinucleotide relative abundance |
topic | Full Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2575891/ https://www.ncbi.nlm.nih.gov/pubmed/18799480 http://dx.doi.org/10.1093/dnares/dsn021 |
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