ArticleJournal of molecular evolution2014
A tree of cellular life inferred from a genomic census of molecular functions.
Article in Journal of molecular evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 29 citations in OpenAlex.
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- Evolution of Intrinsic Disorder in Protein Loops.Life (Basel, Switzerland) · 2023Article
- A critical analysis of the current state of virus taxonomy.Frontiers in microbiology · 2023Review
- The Compressed Vocabulary of Microbial Life.Frontiers in microbiology · 2021Article
- The origin and evolution of viruses inferred from fold family structure.Archives of virology · 2020Review
- Comparisons between small ribosomal RNA and theoretical minimal RNA ring secondary structures confirm phylogenetic and structural accretion histories.Scientific reports · 2020Article
- Bacterial Origin and Reductive Evolution of the CPR Group.Genome biology and evolution · 2020Article
- More Pieces of Ancient than Recent Theoretical Minimal Proto-tRNA-Like RNA Rings in Genes Coding for tRNA Synthetases.Journal of molecular evolution · 2019Article
- Phyloproteomic and functional analyses do not support a split in the genus Borrelia (phylum Spirochaetes).BMC evolutionary biology · 2019Article
- Rooting Phylogenies and the Tree of Life While Minimizing Ad Hoc and Auxiliary Assumptions.Evolutionary bioinformatics online · 2018Review
- The natural history of molecular functions inferred from an extensive phylogenomic analysis of gene ontology data.PloS one · 2017Article
- Eliciting the Functional Taxonomy from protein annotations and taxa.Scientific reports · 2016Article
- A phylogenomic data-driven exploration of viral origins and evolution.Science advances · 2015Article
- Computing the origin and evolution of the ribosome from its structure - Uncovering processes of macromolecular accretion benefiting synthetic biology.Computational and structural biotechnology journal · 2015Review
- A phylogenomic census of molecular functions identifies modern thermophilic archaea as the most ancient form of cellular life.Archaea (Vancouver, B.C.) · 2014Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phylogenomics aims to describe evolutionary relatedness between organisms by analyzing genomic data. The common practice is to produce phylogenomic trees from molecular information in the sequence, order, and content of genes in genomes. These phylogenies describe the evolution of life and become valuable tools for taxonomy. The recent availability of structural and functional data for hundreds of genomes now offers the opportunity to study evolution using more deep, conserved, and reliable sets of molecular features. Here, we reconstruct trees of life from the functions of proteins. We start by inferring rooted phylogenomic trees and networks of organisms directly from Gene Ontology annotations. Phylogenies and networks yield novel insights into the emergence and evolution of cellular life. The ancestor of Archaea originated earlier than the ancestors of Bacteria and Eukarya and was thermophilic. In contrast, basal bacterial lineages were non-thermophilic. A close relationship between Plants and Metazoa was also identified that disagrees with the traditional Fungi-Metazoa grouping. While measures of evolutionary reticulation were minimum in Eukarya and maximum in Bacteria, the massive role of horizontal gene transfer in microbes did not materialize in phylogenomic networks. Phylogenies and networks also showed that the best reconstructions were recovered when problematic taxa (i.e., parasitic/symbiotic organisms) and horizontally transferred characters were excluded from analysis. Our results indicate that functionomic data represent a useful addition to the set of molecular characters used for tree reconstruction and that trees of cellular life carry in deep branches considerable predictive power to explain the evolution of living organisms.
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