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Molecular characterization of positively selected genes contributing aquatic adaptation in marine mammals.

Authors :
Roh, Yoo-Rim
Yim, Hyung-Soon
Park, Kiejung
Lee, Jung-Hyun
Source :
Genes & Genomics; Jul2024, Vol. 46 Issue 7, p775-783, 9p
Publication Year :
2024

Abstract

Background: Marine mammals, which have evolved independently into three distinct lineages, share common physiological features that contribute to their adaptation to the marine environment. Objective: To identify positively selected genes (PSGs) for adaptation to the marine environment using available genomic data from three taxonomic orders: cetaceans, pinnipeds, and sirenians. Methods: Based on the genomes within each group of Artiodactyla, Carnivora and Afrotheria, we performed selection analysis using the branch-site model in CODEML. Results: Based on the branch-site model, 460, 614, and 359 PSGs were predicted for the cetaceans, pinnipeds, and sirenians, respectively. Functional enrichment analysis indicated that genes associated with hemostasis were positively selected across all lineages of marine mammals. We observed positive selection signals for the hemostasis and coagulation-related genes plasminogen activator, urokinase (PLAU), multimerin 1 (MMRN1), gamma-glutamyl carboxylase (GGCX), and platelet endothelial aggregation receptor 1 (PEAR1). Additionally, we found out that the sodium voltage-gated channel alpha subunit 9 (SCN9A), serine/arginine repetitive matrix 4 (SRRM4), and Ki-ras-induced actin-interacting protein (KRAP) are under positive selection pressure and are associated with cognition, neurite outgrowth, and IP3-mediated Ca2 + release, respectively. Conclusion: This study will contribute to our understanding of the adaptive evolution of marine mammals by providing information on a group of candidate genes that are predicted to influence adaptation to aquatic environments, as well as their functional characteristics. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19769571
Volume :
46
Issue :
7
Database :
Complementary Index
Journal :
Genes & Genomics
Publication Type :
Academic Journal
Accession number :
178130701
Full Text :
https://doi.org/10.1007/s13258-023-01487-2