Strong functional patterns in the evolution of eukaryotic genomes revealed by the reconstruction of ancestral protein domain repertoires View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-01

AUTHORS

Christian M Zmasek, Adam Godzik

ABSTRACT

BACKGROUND: Genome size and complexity, as measured by the number of genes or protein domains, is remarkably similar in most extant eukaryotes and generally exhibits no correlation with their morphological complexity. Underlying trends in the evolution of the functional content and capabilities of different eukaryotic genomes might be hidden by simultaneous gains and losses of genes. RESULTS: We reconstructed the domain repertoires of putative ancestral species at major divergence points, including the last eukaryotic common ancestor (LECA). We show that, surprisingly, during eukaryotic evolution domain losses in general outnumber domain gains. Only at the base of the animal and the vertebrate sub-trees do domain gains outnumber domain losses. The observed gain/loss balance has a distinct functional bias, most strikingly seen during animal evolution, where most of the gains represent domains involved in regulation and most of the losses represent domains with metabolic functions. This trend is so consistent that clustering of genomes according to their functional profiles results in an organization similar to the tree of life. Furthermore, our results indicate that metabolic functions lost during animal evolution are likely being replaced by the metabolic capabilities of symbiotic organisms such as gut microbes. CONCLUSIONS: While protein domain gains and losses are common throughout eukaryote evolution, losses oftentimes outweigh gains and lead to significant differences in functional profiles. Results presented here provide additional arguments for a complex last eukaryotic common ancestor, but also show a general trend of losses in metabolic capabilities and gain in regulatory complexity during the rise of animals. More... »

PAGES

r4

References to SciGraph publications

  • 2003-07. Transcription regulation and animal diversity in NATURE
  • 2009-12. Lateral gene transfer between prokaryotes and multicellular eukaryotes: ongoing and significant? in BMC BIOLOGY
  • 2007-10. Surprising complexity of the ancestral apoptosis network in GENOME BIOLOGY
  • 2009-10. The gene complement of the ancestral bilaterian - was Urbilateria a monster? in BMC BIOLOGY
  • 2005-01-13. Unexpected complexity of the Wnt gene family in a sea anemone in NATURE
  • 2004-12. Shedding Genomic Ballast: Extensive Parallel Loss of Ancestral Gene Families in Animals in JOURNAL OF MOLECULAR EVOLUTION
  • 2006. Proteome Complexity Measures Based on Counting of Domain-to-Protein Links for Replicative and Non-Replicative Domains in BIOINFORMATICS OF GENOME REGULATION AND STRUCTURE II
  • 2008-08. Horizontal gene transfer in eukaryotic evolution in NATURE REVIEWS GENETICS
  • 2006-12. Eleven ancestral gene families lost in mammals and vertebrates while otherwise universally conserved in animals in BMC EVOLUTIONARY BIOLOGY
  • 2000-05. Gene Ontology: tool for the unification of biology in NATURE GENETICS
  • 2006-11. Global trends of whole-genome duplications revealed by the ciliate Paramecium tetraurelia in NATURE
  • 2001-02. Chance and necessity: the evolution of morphological complexity and diversity in NATURE
  • 2008-09. Non-coding RNA transcription: turning on neighbours in NATURE CELL BIOLOGY
  • 2002-11. The structure of the protein universe and genome evolution in NATURE
  • 2009-12. phyloXML: XML for evolutionary biology and comparative genomics in BMC BIOINFORMATICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/gb-2011-12-1-r4

    DOI

    http://dx.doi.org/10.1186/gb-2011-12-1-r4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1018763863

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/21241503


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