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Modelling prokaryote gene content
The patchy distribution of genes across the prokaryotes may be caused by multiple gene losses or lateral transfer. Probabilistic models of gene gain and loss are needed to distinguish between these possibilities. Existing models allow only single genes to be gained and lost, despite the empirical ev...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674660/ https://www.ncbi.nlm.nih.gov/pubmed/19455209 |
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author | Spencer, Matthew Susko, Edward Roger, Andrew J. |
author_facet | Spencer, Matthew Susko, Edward Roger, Andrew J. |
author_sort | Spencer, Matthew |
collection | PubMed |
description | The patchy distribution of genes across the prokaryotes may be caused by multiple gene losses or lateral transfer. Probabilistic models of gene gain and loss are needed to distinguish between these possibilities. Existing models allow only single genes to be gained and lost, despite the empirical evidence for multi-gene events. We compare birth-death models (currently the only widely-used models, in which only one gene can be gained or lost at a time) to blocks models (allowing gain and loss of multiple genes within a family). We analyze two pairs of genomes: two E. coli strains, and the distantly-related Archaeoglobus fulgidus (archaea) and Bacillus subtilis (gram positive bacteria). Blocks models describe the data much better than birth-death models. Our models suggest that lateral transfers of multiple genes from the same family are rare (although transfers of single genes are probably common). For both pairs, the estimated median time that a gene will remain in the genome is not much greater than the time separating the common ancestors of the archaea and bacteria. Deep phylogenetic reconstruction from sequence data will therefore depend on choosing genes likely to remain in the genome for a long time. Phylogenies based on the blocks model are more biologically plausible than phylogenies based on the birth-death model. |
format | Text |
id | pubmed-2674660 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-26746602009-05-19 Modelling prokaryote gene content Spencer, Matthew Susko, Edward Roger, Andrew J. Evol Bioinform Online Original Research The patchy distribution of genes across the prokaryotes may be caused by multiple gene losses or lateral transfer. Probabilistic models of gene gain and loss are needed to distinguish between these possibilities. Existing models allow only single genes to be gained and lost, despite the empirical evidence for multi-gene events. We compare birth-death models (currently the only widely-used models, in which only one gene can be gained or lost at a time) to blocks models (allowing gain and loss of multiple genes within a family). We analyze two pairs of genomes: two E. coli strains, and the distantly-related Archaeoglobus fulgidus (archaea) and Bacillus subtilis (gram positive bacteria). Blocks models describe the data much better than birth-death models. Our models suggest that lateral transfers of multiple genes from the same family are rare (although transfers of single genes are probably common). For both pairs, the estimated median time that a gene will remain in the genome is not much greater than the time separating the common ancestors of the archaea and bacteria. Deep phylogenetic reconstruction from sequence data will therefore depend on choosing genes likely to remain in the genome for a long time. Phylogenies based on the blocks model are more biologically plausible than phylogenies based on the birth-death model. Libertas Academica 2007-02-05 /pmc/articles/PMC2674660/ /pubmed/19455209 Text en Copyright © 2006 The authors. http://creativecommons.org/licenses/by/3.0 This article is published under the Creative Commons Attribution By licence. For further information go to: http://creativecommons.org/licenses/by/3.0. (http://creativecommons.org/licenses/by/3.0) |
spellingShingle | Original Research Spencer, Matthew Susko, Edward Roger, Andrew J. Modelling prokaryote gene content |
title | Modelling prokaryote gene content |
title_full | Modelling prokaryote gene content |
title_fullStr | Modelling prokaryote gene content |
title_full_unstemmed | Modelling prokaryote gene content |
title_short | Modelling prokaryote gene content |
title_sort | modelling prokaryote gene content |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674660/ https://www.ncbi.nlm.nih.gov/pubmed/19455209 |
work_keys_str_mv | AT spencermatthew modellingprokaryotegenecontent AT suskoedward modellingprokaryotegenecontent AT rogerandrewj modellingprokaryotegenecontent |