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Duplicate gene enrichment and expression pattern diversification in multicellularity

The enrichment of duplicate genes, and therefore paralogs (proteins coded by duplicate genes), in multicellular versus unicellular organisms enhances genomic functional innovation. This study quantitatively examined relationships among paralog enrichment, expression pattern diversification and multi...

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Autores principales: Padawer, Timothy, Leighty, Ralph E., Wang, Degeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3439886/
https://www.ncbi.nlm.nih.gov/pubmed/22645319
http://dx.doi.org/10.1093/nar/gks464
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author Padawer, Timothy
Leighty, Ralph E.
Wang, Degeng
author_facet Padawer, Timothy
Leighty, Ralph E.
Wang, Degeng
author_sort Padawer, Timothy
collection PubMed
description The enrichment of duplicate genes, and therefore paralogs (proteins coded by duplicate genes), in multicellular versus unicellular organisms enhances genomic functional innovation. This study quantitatively examined relationships among paralog enrichment, expression pattern diversification and multicellularity, aiming to better understand genomic basis of multicellularity. Paralog abundance in specific cells was compared with those in unicellular proteomes and the whole proteomes of multicellular organisms. The budding yeast, Saccharomyces cerevisiae and the nematode, Caenorhabditis elegans, for which the gene sets expressed in specific cells are available, were used as uni and multicellular models, respectively. Paralog count (K) distributions [P((k))] follow a power-law relationship [P((k)) ∝ k(−α)] in the whole proteomes of both species and in specific C. elegans cells. The value of the constant α can be used as a gauge of paralog abundance; the higher the value, the lower the paralog abundance. The α-value is indeed lower in the whole proteome of C. elegans (1.74) than in S. cerevisiae (2.34), quantifying the enrichment of paralogs in multicellular species. We also found that the power-law relationship applies to the proteomes of specific C. elegans cells. Strikingly, values of α in specific cells are higher and comparable to that in S. cerevisiae. Thus, paralog abundance in specific cells is lower and comparable to that in unicellular species. Furthermore, how much the expression level of a gene fluctuates across different C. elegans cells correlates positively with its paralog count, which is further confirmed by human gene-expression patterns across different tissues. Taken together, these results quantitatively and mechanistically establish enrichment of paralogs with diversifying expression patterns as genomic and evolutionary basis of multicellularity.
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spelling pubmed-34398862012-09-12 Duplicate gene enrichment and expression pattern diversification in multicellularity Padawer, Timothy Leighty, Ralph E. Wang, Degeng Nucleic Acids Res Computational Biology The enrichment of duplicate genes, and therefore paralogs (proteins coded by duplicate genes), in multicellular versus unicellular organisms enhances genomic functional innovation. This study quantitatively examined relationships among paralog enrichment, expression pattern diversification and multicellularity, aiming to better understand genomic basis of multicellularity. Paralog abundance in specific cells was compared with those in unicellular proteomes and the whole proteomes of multicellular organisms. The budding yeast, Saccharomyces cerevisiae and the nematode, Caenorhabditis elegans, for which the gene sets expressed in specific cells are available, were used as uni and multicellular models, respectively. Paralog count (K) distributions [P((k))] follow a power-law relationship [P((k)) ∝ k(−α)] in the whole proteomes of both species and in specific C. elegans cells. The value of the constant α can be used as a gauge of paralog abundance; the higher the value, the lower the paralog abundance. The α-value is indeed lower in the whole proteome of C. elegans (1.74) than in S. cerevisiae (2.34), quantifying the enrichment of paralogs in multicellular species. We also found that the power-law relationship applies to the proteomes of specific C. elegans cells. Strikingly, values of α in specific cells are higher and comparable to that in S. cerevisiae. Thus, paralog abundance in specific cells is lower and comparable to that in unicellular species. Furthermore, how much the expression level of a gene fluctuates across different C. elegans cells correlates positively with its paralog count, which is further confirmed by human gene-expression patterns across different tissues. Taken together, these results quantitatively and mechanistically establish enrichment of paralogs with diversifying expression patterns as genomic and evolutionary basis of multicellularity. Oxford University Press 2012-09 2012-05-29 /pmc/articles/PMC3439886/ /pubmed/22645319 http://dx.doi.org/10.1093/nar/gks464 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Biology
Padawer, Timothy
Leighty, Ralph E.
Wang, Degeng
Duplicate gene enrichment and expression pattern diversification in multicellularity
title Duplicate gene enrichment and expression pattern diversification in multicellularity
title_full Duplicate gene enrichment and expression pattern diversification in multicellularity
title_fullStr Duplicate gene enrichment and expression pattern diversification in multicellularity
title_full_unstemmed Duplicate gene enrichment and expression pattern diversification in multicellularity
title_short Duplicate gene enrichment and expression pattern diversification in multicellularity
title_sort duplicate gene enrichment and expression pattern diversification in multicellularity
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3439886/
https://www.ncbi.nlm.nih.gov/pubmed/22645319
http://dx.doi.org/10.1093/nar/gks464
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