Differential Retention of Pfam Domains Contributes to Long-term Evolutionary Trends
Affiliation
Department of Ecology & Evolutionary Biology, University of ArizonaIssue Date
2023-03-22Keywords
clade selectionCope's rule
gene families
intrinsic structural disorder
phylostratigraphy
protein evolution
protein folding
Metadata
Show full item recordPublisher
Oxford University PressCitation
Jennifer E James, Paul G Nelson, Joanna Masel, Differential Retention of Pfam Domains Contributes to Long-term Evolutionary Trends, Molecular Biology and Evolution, Volume 40, Issue 4, April 2023, msad073, https://doi.org/10.1093/molbev/msad073Journal
Molecular Biology and EvolutionRights
© The Author(s) 2023. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Protein domains that emerged more recently in evolution have a higher structural disorder and greater clustering of hydrophobic residues along the primary sequence. It is hard to explain how selection acting via descent with modification could act so slowly as not to saturate over the extraordinarily long timescales over which these trends persist. Here, we hypothesize that the trends were created by a higher level of selection that differentially affects the retention probabilities of protein domains with different properties. This hypothesis predicts that loss rates should depend on disorder and clustering trait values. To test this, we inferred loss rates via maximum likelihood for animal Pfam domains, after first performing a set of stringent quality control methods to reduce annotation errors. Intermediate trait values, matching those of ancient domains, are associated with the lowest loss rates, making our results difficult to explain with reference to previously described homology detection biases. Simulations confirm that effect sizes are of the right magnitude to produce the observed long-term trends. Our results support the hypothesis that differential domain loss slowly weeds out those protein domains that have nonoptimal levels of disorder and clustering. The same preferences also shape the differential diversification of Pfam domains, thereby further impacting proteome composition. © The Author(s) 2023. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution.Note
Open access articleISSN
0737-4038PubMed ID
36947137Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.1093/molbev/msad073
Scopus Count
Collections
Except where otherwise noted, this item's license is described as © The Author(s) 2023. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/).
Related articles
- Detection of orphan domains in Drosophila using "hydrophobic cluster analysis".
- Authors: Bitard-Feildel T, Heberlein M, Bornberg-Bauer E, Callebaut I
- Issue date: 2015 Dec
- Universal and taxon-specific trends in protein sequences as a function of age.
- Authors: James JE, Willis SM, Nelson PG, Weibel C, Kosinski LJ, Masel J
- Issue date: 2021 Jan 8
- Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
- Authors: Crider K, Williams J, Qi YP, Gutman J, Yeung L, Mai C, Finkelstain J, Mehta S, Pons-Duran C, Menéndez C, Moraleda C, Rogers L, Daniels K, Green P
- Issue date: 2022 Feb 1
- The challenge of increasing Pfam coverage of the human proteome.
- Authors: Mistry J, Coggill P, Eberhardt RY, Deiana A, Giansanti A, Finn RD, Bateman A, Punta M
- Issue date: 2013
- Exploring the dark foldable proteome by considering hydrophobic amino acids topology.
- Authors: Bitard-Feildel T, Callebaut I
- Issue date: 2017 Jan 30