Evidence map›Paper›PMID 25371435›Full record

ArticleMolecular biology and evolution2015

Toward more accurate ancestral protein genotype-phenotype reconstructions with the use of species tree-aware gene trees.

Mathieu Groussin, Joanne K Hobbs, Gergely J Szöllősi, Simonetta Gribaldo, Vickery L Arcus, Manolo Gouy

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

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28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Applications of ancestral sequence reconstruction for understanding the evolution of plant specialized metabolism.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Topiary: Pruning the manual labor from ancestral sequence reconstruction.Protein science : a publication of the Protein Society · 2023
    Article
  9. Article
  10. Probing the origin of prion protein misfolding via reconstruction of ancestral proteins.Protein science : a publication of the Protein Society · 2022
    Article
  11. Review
  12. Article
  13. Review
  14. Revenant: a database of resurrected proteins.Database : the journal of biological databases and curation · 2020
    Article
  15. Article
  16. Genome size evolution in the Archaea.Emerging topics in life sciences · 2018
    Article
  17. Article
  18. Crystal structure of an inferred ancestral bacterial pyruvate decarboxylase.Acta crystallographica. Section F, Structural biology communications · 2018
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Mathieu GroussinLaboratoire de Biométrie et Biologie Evolutive, Université de Lyon, Université Lyon 1, CNRS, UMR5558, Villeurbanne, France mgroussi@mit.edu.
Joanne K HobbsDepartment of Biological Sciences, University of Waikato, Hamilton, New Zealand.
Gergely J SzöllősiLaboratoire de Biométrie et Biologie Evolutive, Université de Lyon, Université Lyon 1, CNRS, UMR5558, Villeurbanne, France ELTE-MTA "Lendület" Biophysics Research Group, Pázmány, Budapest, Hungary.
Simonetta GribaldoUnité de Biologie Moléculaire du Gène chez les Extrêmophiles, Département de Microbiologie, Institut Pasteur, Paris cedex, France.
Vickery L ArcusDepartment of Biological Sciences, University of Waikato, Hamilton, New Zealand.
Manolo GouyLaboratoire de Biométrie et Biologie Evolutive, Université de Lyon, Université Lyon 1, CNRS, UMR5558, Villeurbanne, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The resurrection of ancestral proteins provides direct insight into how natural selection has shaped proteins found in nature. By tracing substitutions along a gene phylogeny, ancestral proteins can be reconstructed in silico and subsequently synthesized in vitro. This elegant strategy reveals the complex mechanisms responsible for the evolution of protein functions and structures. However, to date, all protein resurrection studies have used simplistic approaches for ancestral sequence reconstruction (ASR), including the assumption that a single sequence alignment alone is sufficient to accurately reconstruct the history of the gene family. The impact of such shortcuts on conclusions about ancestral functions has not been investigated. Here, we show with simulations that utilizing information on species history using a model that accounts for the duplication, horizontal transfer, and loss (DTL) of genes statistically increases ASR accuracy. This underscores the importance of the tree topology in the inference of putative ancestors. We validate our in silico predictions using in vitro resurrection of the LeuB enzyme for the ancestor of the Firmicutes, a major and ancient bacterial phylum. With this particular protein, our experimental results demonstrate that information on the species phylogeny results in a biochemically more realistic and kinetically more stable ancestral protein. Additional resurrection experiments with different proteins are necessary to statistically quantify the impact of using species tree-aware gene trees on ancestral protein phenotypes. Nonetheless, our results suggest the need for incorporating both sequence and DTL information in future studies of protein resurrections to accurately define the genotype-phenotype space in which proteins diversify.

Indexed as

Amino Acid SequenceBacterial ProteinsComputational BiologyComputer SimulationEvolution, MolecularGenotypeGram-Positive BacteriaPhenotypePhylogenyProteinsBacterial ProteinsProteinsancestral sequence reconstructiongene tree reconciliationlateral gene transferphylogenyprotein evolutionprotein resurrection

Identifiers

PMID25371435
PMCPMC4271536

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