Evidence map›Paper›PMID 32915992›Full record

ArticleMolecular biology and evolution2021

Modularity in Protein Evolution: Modular Organization and De Novo Domain Evolution in Mollusk Metallothioneins.

Sara Calatayud, Mario Garcia-Risco, Veronika Pedrini-Martha, Douglas J Eernisse, Reinhard Dallinger, Òscar Palacios, Mercè Capdevila, Ricard Albalat

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Molecular biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Identification of two metallothioneins in Agaricus crocodilinus reveals gene duplication and domain expansion, a pattern conserved across fungal species.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Metals and metallothionein evolution in snails: a contribution to the concept of metal-specific functionality from an animal model group.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2024
    Review
  8. Evolution of Cd2+ and Cu+ binding in Helix pomatia metallothioneins.Metallomics : integrated biometal science · 2023
    Article
  9. Article
  10. Article
  11. Metal-Specificity Divergence between Metallothioneins ofInternational journal of molecular sciences · 2021
    Article
  12. Article
  13. The Enigmatic Metallothioneins: A Case of Upward-Looking Research.International journal of molecular sciences · 2021
    Article
  14. Modular Evolution and Population Variability ofFrontiers in cell and developmental biology · 2021
    Article
  15. Two Unconventional Metallothioneins in the Apple SnailInternational journal of molecular sciences · 2020
    Article
4 · The record

Corrections and comments

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

8 authors at 4 institutions in 3 countries.

Sara CalatayudDepartament de Genètica, Microbiologia i Estadística and Institut de Recerca de la Biodiversitat (IRBio), Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Mario Garcia-RiscoDepartament de Química, Facultat de Ciències, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.
Veronika Pedrini-MarthaDepartment of Zoology and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria.
Douglas J EernisseDepartment of Biological Science, California State University Fullerton, Fullerton, CA.
Reinhard DallingerDepartment of Zoology and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria.
Òscar PalaciosDepartament de Química, Facultat de Ciències, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.
Mercè CapdevilaDepartament de Química, Facultat de Ciències, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.
Ricard AlbalatDepartament de Genètica, Microbiologia i Estadística and Institut de Recerca de la Biodiversitat (IRBio), Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain.
Universitat Autònoma de Barcelona · ESUniversitat de Barcelona · ESUniversität Innsbruck · ATCalifornia State University, Fullerton · US

Funding

Austrian Science Fund FWF I 1482
6 · The paper itself

Abstract

Metallothioneins (MTs) are proteins devoted to the control of metal homeostasis and detoxification, and therefore, MTs have been crucial for the adaptation of the living beings to variable situations of metal bioavailability. The evolution of MTs is, however, not yet fully understood, and to provide new insights into it, we have investigated the MTs in the diverse classes of Mollusks. We have shown that most molluskan MTs are bimodular proteins that combine six domains-α, β1, β2, β3, γ, and δ-in a lineage-specific manner. We have functionally characterized the Neritimorpha β3β1 and the Patellogastropoda γβ1 MTs, demonstrating the metal-binding capacity of the new γ domain. Our results have revealed a modular organization of mollusk MT, whose evolution has been impacted by duplication, loss, and de novo emergence of domains. MTs represent a paradigmatic example of modular evolution probably driven by the structural and functional requirements of metal binding.

Indexed as

Evolution, MolecularAnimalsGastropodaMetallothioneinPhylogenyProtein DomainsMetallothioneinbi- and multimodular metallothioneinscysteine motifsde novo evolutiondomainsmetal-binding capacity and preferenceαβ1β2β3γδ

Identifiers

PMID32915992
PMCPMC7826182
OpenAlexW3086741367

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.