1. Revisiting tolerance to ocean acidification: Insights from a new framework combining physiological and molecular tipping points of Pacific oyster
- Author
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Mathieu Lutier, Frédéric Gazeau, Alexis Appolis, Fabrice Pernet, Carole Di Poi, and Jérémy Le Luyer
- Subjects
0106 biological sciences ,Range (biology) ,01 natural sciences ,acidification ,03 medical and health sciences ,threshold ,Animals ,Environmental Chemistry ,Seawater ,14. Life underwater ,Ecosystem ,030304 developmental biology ,General Environmental Science ,0303 health sciences ,Global and Planetary Change ,biology ,Ecology ,010604 marine biology & hydrobiology ,Ocean acidification ,Global change ,mollusk ,transcriptomic ,Carbon Dioxide ,Hydrogen-Ion Concentration ,Pacific oyster ,biology.organism_classification ,reaction norm ,lipidomic ,13. Climate action ,Ph range ,Environmental science ,Identification (biology) ,Transcriptome - Abstract
Studies on the impact of ocean acidification on marine organisms involve exposing organisms to future acidification scenarios as projected for open ocean, which has limited relevance for coastal calcifiers. Characterization of reaction norms across a range of pH and identification of tipping points beyond which detrimental effects are observed has been limited and focus on only a few macro-physiological traits. Here we filled this knowledge gap by developing a framework to analyze the broad macro-physiological and molecular responses over a wide pH range of juvenile Pacific oyster, a model species for which the tolerance threshold to acidification remains unknown. We identify low tipping points for physiological traits at pH 7.3-6.9 that coincide with a major reshuffling in membrane lipids and transcriptome. In contrast, shell parameters exhibit effects with pH drop well before tipping points, likely impacting animal fitness. These findings were made possible by the development of an innovative methodology to synthesize and identify the main patterns of variations in large -omic datasets, fit them to pH and identify molecular tipping-points. We propose the application of our framework broadly to the assessment of effects of global change on other organisms.
- Published
- 2022
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