Evidence map›Paper›PMID 38060007›Full record

ArticleJournal of molecular evolution2023

Origins and Functional Significance of Eukaryotic Protein Folds.

Martin Romei, Mathilde Carpentier, Jacques Chomilier, Guillaume Lecointre

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Article in Journal of molecular evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Protein Fold Usages in Ribosomes: Another Glance to the Past.International journal of molecular sciences · 2024
    Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Martin Romei *Institut Systématique Evolution Biodiversité (ISYEB UMR 7205), Sorbonne Université, MNHN, CNRS, EPHE, UA, Paris, France.
Mathilde Carpentier *Institut Systématique Evolution Biodiversité (ISYEB UMR 7205), Sorbonne Université, MNHN, CNRS, EPHE, UA, Paris, France. mathilde.carpentier@mnhn.fr.ORCID 0000-0001-8877-1368
Jacques ChomilierIMPMC (UMR 7590), BiBiP, Sorbonne Université, CNRS, MNHN, Paris, France.ORCID 0000-0002-4250-0762
Guillaume LecointreInstitut Systématique Evolution Biodiversité (ISYEB UMR 7205), Sorbonne Université, MNHN, CNRS, EPHE, UA, Paris, France.ORCID 0000-0001-7282-0516

Funding

Sorbonne Université IPV program of Sorbonne University, PhD grant
6 · The paper itself

Abstract

Folds are the architecture and topology of a protein domain. Categories of folds are very few compared to the astronomical number of sequences. Eukaryotes have more protein folds than Archaea and Bacteria. These folds are of two types: shared with Archaea and/or Bacteria on one hand and specific to eukaryotic clades on the other hand. The first kind of folds is inherited from the first endosymbiosis and confirms the mixed origin of eukaryotes. In a dataset of 1073 folds whose presence or absence has been evidenced among 210 species equally distributed in the three super-kingdoms, we have identified 28 eukaryotic folds unambiguously inherited from Bacteria and 40 eukaryotic folds unambiguously inherited from Archaea. Compared to previous studies, the repartition of informational function is higher than expected for folds originated from Bacteria and as high as expected for folds inherited from Archaea. The second type of folds is specifically eukaryotic and associated with an increase of new folds within eukaryotes distributed in particular clades. Reconstructed ancestral states coupled with dating of each node on the tree of life provided fold appearance rates. The rate is on average twice higher within Eukaryota than within Bacteria or Archaea. The highest rates are found in the origins of eukaryotes, holozoans, metazoans, metazoans stricto sensu, and vertebrates: the roots of these clades correspond to bursts of fold evolution. We could correlate the functions of some of the fold synapomorphies within eukaryotes with significant evolutionary events. Among them, we find evidence for the rise of multicellularity, adaptive immune system, or virus folds which could be linked to an ecological shift made by tetrapods.

Indexed as

ArchaeaBacteriaAnimalsBiological EvolutionEukaryotaPhylogenyProteinsProteinsEvolutionInformational genesOperational genesProtein foldsProtein structure

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.