Affiliation:
1. Department of Biological, Geological, and Environmental Sciences, University of Bologna , Bologna , Italy
Abstract
Abstract
Among Metazoa, bivalves have the highest lifespan disparity, ranging from 1 to 500+ years, making them an exceptional testing ground to understand mechanisms underlying aging and the evolution of extended longevity. Nevertheless, comparative molecular evolution has been an overlooked approach in this instance. Here, we leveraged transcriptomic resources spanning 30 bivalve species to unravel the signatures of convergent molecular evolution in four long-lived species: Margaritifera margaritifera, Elliptio complanata, Lampsilis siliquoidea, and Arctica islandica (the latter represents the longest-lived noncolonial metazoan known so far). We applied a comprehensive approach—which included inference of convergent dN/dS, convergent positive selection, and convergent amino acid substitution—with a strong focus on the reduction of false positives. Genes with convergent evolution in long-lived bivalves show more physical and functional interactions to each other than expected, suggesting that they are biologically connected; this interaction network is enriched in genes for which a role in longevity has been experimentally supported in other species. This suggests that genes in the network are involved in extended longevity in bivalves and, consequently, that the mechanisms underlying extended longevity are—at least partially—shared across Metazoa. Although we believe that an integration of different genes and pathways is required for the extended longevity phenotype, we highlight the potential central roles of genes involved in cell proliferation control, translational machinery, and response to hypoxia, in lifespan extension.
Publisher
Oxford University Press (OUP)
Subject
Genetics,Ecology, Evolution, Behavior and Systematics
Cited by
2 articles.
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1. Von Muscheln lernen;Nachrichten aus der Chemie;2024-04-30
2. Highlight: Pearls of Wisdom into Longer Lifespans From Bivalves;Genome Biology and Evolution;2023-11-01