Cargando…

Network Centrality Analysis in Fungi Reveals Complex Regulation of Lost and Gained Genes

Gene gain and loss shape both proteomes and the networks they form. The increasing availability of closely related sequenced genomes and of genome-wide network data should enable a better understanding of the evolutionary forces driving gene gain, gene loss and evolutionary network rewiring. Using o...

Descripción completa

Detalles Bibliográficos
Autores principales: Coulombe-Huntington, Jasmin, Xia, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5207763/
https://www.ncbi.nlm.nih.gov/pubmed/28046110
http://dx.doi.org/10.1371/journal.pone.0169459
_version_ 1782490430648090624
author Coulombe-Huntington, Jasmin
Xia, Yu
author_facet Coulombe-Huntington, Jasmin
Xia, Yu
author_sort Coulombe-Huntington, Jasmin
collection PubMed
description Gene gain and loss shape both proteomes and the networks they form. The increasing availability of closely related sequenced genomes and of genome-wide network data should enable a better understanding of the evolutionary forces driving gene gain, gene loss and evolutionary network rewiring. Using orthology mappings across 23 ascomycete fungi genomes, we identified proteins that were lost, gained or universally conserved across the tree, enabling us to compare genes across all stages of their life-cycle. Based on a collection of genome-wide network and gene expression datasets from baker’s yeast, as well as a few from fission yeast, we found that gene loss is more strongly associated with network and expression features of closely related species than that of distant species, consistent with the evolutionary modulation of gene loss propensity through network rewiring. We also discovered that lost and gained genes, as compared to universally conserved “core” genes, have more regulators, more complex expression patterns and are much more likely to encode for transcription factors. Finally, we found that the relative rate of network integration of new genes into the different types of networks agrees with experimentally measured rates of network rewiring. This systems-level view of the life-cycle of eukaryotic genes suggests that the gain and loss of genes is tightly coupled to the gain and loss of network interactions, that lineage-specific adaptations drive regulatory complexity and that the relative rates of integration of new genes are consistent with network rewiring rates.
format Online
Article
Text
id pubmed-5207763
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-52077632017-01-19 Network Centrality Analysis in Fungi Reveals Complex Regulation of Lost and Gained Genes Coulombe-Huntington, Jasmin Xia, Yu PLoS One Research Article Gene gain and loss shape both proteomes and the networks they form. The increasing availability of closely related sequenced genomes and of genome-wide network data should enable a better understanding of the evolutionary forces driving gene gain, gene loss and evolutionary network rewiring. Using orthology mappings across 23 ascomycete fungi genomes, we identified proteins that were lost, gained or universally conserved across the tree, enabling us to compare genes across all stages of their life-cycle. Based on a collection of genome-wide network and gene expression datasets from baker’s yeast, as well as a few from fission yeast, we found that gene loss is more strongly associated with network and expression features of closely related species than that of distant species, consistent with the evolutionary modulation of gene loss propensity through network rewiring. We also discovered that lost and gained genes, as compared to universally conserved “core” genes, have more regulators, more complex expression patterns and are much more likely to encode for transcription factors. Finally, we found that the relative rate of network integration of new genes into the different types of networks agrees with experimentally measured rates of network rewiring. This systems-level view of the life-cycle of eukaryotic genes suggests that the gain and loss of genes is tightly coupled to the gain and loss of network interactions, that lineage-specific adaptations drive regulatory complexity and that the relative rates of integration of new genes are consistent with network rewiring rates. Public Library of Science 2017-01-03 /pmc/articles/PMC5207763/ /pubmed/28046110 http://dx.doi.org/10.1371/journal.pone.0169459 Text en © 2017 Coulombe-Huntington, Xia http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Coulombe-Huntington, Jasmin
Xia, Yu
Network Centrality Analysis in Fungi Reveals Complex Regulation of Lost and Gained Genes
title Network Centrality Analysis in Fungi Reveals Complex Regulation of Lost and Gained Genes
title_full Network Centrality Analysis in Fungi Reveals Complex Regulation of Lost and Gained Genes
title_fullStr Network Centrality Analysis in Fungi Reveals Complex Regulation of Lost and Gained Genes
title_full_unstemmed Network Centrality Analysis in Fungi Reveals Complex Regulation of Lost and Gained Genes
title_short Network Centrality Analysis in Fungi Reveals Complex Regulation of Lost and Gained Genes
title_sort network centrality analysis in fungi reveals complex regulation of lost and gained genes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5207763/
https://www.ncbi.nlm.nih.gov/pubmed/28046110
http://dx.doi.org/10.1371/journal.pone.0169459
work_keys_str_mv AT coulombehuntingtonjasmin networkcentralityanalysisinfungirevealscomplexregulationoflostandgainedgenes
AT xiayu networkcentralityanalysisinfungirevealscomplexregulationoflostandgainedgenes