Natural CO(2) seeps reveal adaptive potential to ocean acidification in fish

• Published in: Evolutionary Applications
• Main Authors: Petit‐Marty, Natalia, Nagelkerken, Ivan, Connell, Sean D., Schunter, Celia
• Format: Text
• Language: English
• Published: John Wiley and Sons Inc. 2021
• Subjects: Original Articles; Ocean acidification
• Online Access: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288007/; https://doi.org/10.1111/eva.13239

Volcanic CO(2) seeps are natural laboratories that can provide insights into the adaptation of species to ocean acidification. While many species are challenged by reduced‐pH levels, some species benefit from the altered environment and thrive. Here, we explore the molecular mechanisms of adaptation to ocean acidification in a population of a temperate fish species that experiences increased population sizes under elevated CO(2). Fish from CO(2) seeps exhibited an overall increased gene expression in gonad tissue compared with those from ambient CO(2) sites. Up‐regulated genes at CO(2) seeps are possible targets of adaptive selection as they can directly influence the physiological performance of fishes exposed to ocean acidification. Most of the up‐regulated genes at seeps were functionally involved in the maintenance of pH homeostasis and increased metabolism, and presented a deviation from neutral evolution expectations in their patterns of DNA polymorphisms, providing evidence for adaptive selection to ocean acidification. The targets of this adaptive selection are likely regulatory sequences responsible for the increased expression of these genes, which would allow a fine‐tuned physiological regulation to maintain homeostasis and thrive at CO(2) seeps. Our findings reveal that standing genetic variation in DNA sequences regulating the expression of genes in response to a reduced‐pH environment could provide for adaptive potential to near‐future ocean acidification in fishes. Moreover, with this study we provide a forthright methodology combining transcriptomics and genomics, which can be applied to infer the adaptive potential to different environmental conditions in wild marine populations.