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Evolutionary constraints and expression analysis of gene duplications in Rhodobacter sphaeroides 2.4.1

BACKGROUND: Gene duplication is a major force that contributes to the evolution of new metabolic functions in all organisms. Rhodobacter sphaeroides 2.4.1 is a bacterium that displays a wide degree of metabolic versatility and genome complexity and therefore is a fitting model for the study of gene...

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Autores principales: Peters, Anne E, Bavishi, Anish, Cho, Hyuk, Choudhary, Madhusudan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3494609/
https://www.ncbi.nlm.nih.gov/pubmed/22533893
http://dx.doi.org/10.1186/1756-0500-5-192
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author Peters, Anne E
Bavishi, Anish
Cho, Hyuk
Choudhary, Madhusudan
author_facet Peters, Anne E
Bavishi, Anish
Cho, Hyuk
Choudhary, Madhusudan
author_sort Peters, Anne E
collection PubMed
description BACKGROUND: Gene duplication is a major force that contributes to the evolution of new metabolic functions in all organisms. Rhodobacter sphaeroides 2.4.1 is a bacterium that displays a wide degree of metabolic versatility and genome complexity and therefore is a fitting model for the study of gene duplications in bacteria. A comprehensive analysis of 234 duplicate gene-pairs in R. sphaeroides was performed using structural constraint and expression analysis. RESULTS: The results revealed that most gene-pairs in in-paralogs are maintained under negative selection (ω ≤ 0.3), but the strength of selection differed among in-paralog gene-pairs. Although in-paralogs located on different replicons are maintained under purifying selection, the duplicated genes distributed between the primary chromosome (CI) and the second chromosome (CII) are relatively less selectively constrained than the gene-pairs located within each chromosome. The mRNA expression patterns of duplicate gene-pairs were examined through microarray analysis of this organism grown under seven different growth conditions. Results revealed that ~62% of paralogs have similar expression patterns (cosine ≥ 0.90) over all of these growth conditions, while only ~7% of paralogs are very different in their expression patterns (cosine < 0.50). CONCLUSIONS: The overall findings of the study suggest that only a small proportion of paralogs contribute to the metabolic diversity and the evolution of novel metabolic functions in R. sphaeroides. In addition, the lack of relationships between structural constraints and gene-pair expression suggests that patterns of gene-pair expression are likely associated with conservation or divergence of gene-pair promoter regions and other coregulation mechanisms.
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spelling pubmed-34946092012-11-10 Evolutionary constraints and expression analysis of gene duplications in Rhodobacter sphaeroides 2.4.1 Peters, Anne E Bavishi, Anish Cho, Hyuk Choudhary, Madhusudan BMC Res Notes Research Article BACKGROUND: Gene duplication is a major force that contributes to the evolution of new metabolic functions in all organisms. Rhodobacter sphaeroides 2.4.1 is a bacterium that displays a wide degree of metabolic versatility and genome complexity and therefore is a fitting model for the study of gene duplications in bacteria. A comprehensive analysis of 234 duplicate gene-pairs in R. sphaeroides was performed using structural constraint and expression analysis. RESULTS: The results revealed that most gene-pairs in in-paralogs are maintained under negative selection (ω ≤ 0.3), but the strength of selection differed among in-paralog gene-pairs. Although in-paralogs located on different replicons are maintained under purifying selection, the duplicated genes distributed between the primary chromosome (CI) and the second chromosome (CII) are relatively less selectively constrained than the gene-pairs located within each chromosome. The mRNA expression patterns of duplicate gene-pairs were examined through microarray analysis of this organism grown under seven different growth conditions. Results revealed that ~62% of paralogs have similar expression patterns (cosine ≥ 0.90) over all of these growth conditions, while only ~7% of paralogs are very different in their expression patterns (cosine < 0.50). CONCLUSIONS: The overall findings of the study suggest that only a small proportion of paralogs contribute to the metabolic diversity and the evolution of novel metabolic functions in R. sphaeroides. In addition, the lack of relationships between structural constraints and gene-pair expression suggests that patterns of gene-pair expression are likely associated with conservation or divergence of gene-pair promoter regions and other coregulation mechanisms. BioMed Central 2012-04-25 /pmc/articles/PMC3494609/ /pubmed/22533893 http://dx.doi.org/10.1186/1756-0500-5-192 Text en Copyright ©2012 Peters 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 Article
Peters, Anne E
Bavishi, Anish
Cho, Hyuk
Choudhary, Madhusudan
Evolutionary constraints and expression analysis of gene duplications in Rhodobacter sphaeroides 2.4.1
title Evolutionary constraints and expression analysis of gene duplications in Rhodobacter sphaeroides 2.4.1
title_full Evolutionary constraints and expression analysis of gene duplications in Rhodobacter sphaeroides 2.4.1
title_fullStr Evolutionary constraints and expression analysis of gene duplications in Rhodobacter sphaeroides 2.4.1
title_full_unstemmed Evolutionary constraints and expression analysis of gene duplications in Rhodobacter sphaeroides 2.4.1
title_short Evolutionary constraints and expression analysis of gene duplications in Rhodobacter sphaeroides 2.4.1
title_sort evolutionary constraints and expression analysis of gene duplications in rhodobacter sphaeroides 2.4.1
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3494609/
https://www.ncbi.nlm.nih.gov/pubmed/22533893
http://dx.doi.org/10.1186/1756-0500-5-192
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