Thermotolerance Divergence Revealed by the Physiological and Molecular Responses in Two Oyster Subspecies of Crassostrea gigas in China.

Hamze Ghaffari,Guofan Zhang,Ao Li,Wei Wang,Li Li

doi:10.3389/fphys.2019.01137

Hamze Ghaffari, Guofan Zhang + Show 3 more

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https://doi.org/10.3389/fphys.2019.01137

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Abstract

Investigating the physiological mechanisms of closely related species that exhibit distinct geographic distributions and thermal niches is essential for understanding their thermal tolerance capacities and local adaptations in view of climate warming. The variations in upper thermal limits (LT50) under acute heat shock and cardiac activity, standard metabolic rate (SMR), anaerobic metabolite production and molecular responses (expression of molecular chaperones and glycolysis metabolism genes) under increasing temperatures in two oyster subspecies were studied. The populations of two oyster subspecies, Crassostrea gigas gigas and C. gigas angulata, exhibit different latitudinal distributions along the northern and southern coastlines of China, respectively, which experience different environmental conditions. The LT50 was significantly higher, by ∼1°C, in the southern than in the northern oysters. In both subspecies, temperature increases had powerful effects on heart rate, SMR and gene expression. The southern oysters had the highest Arrhenius breakpoint temperatures for heart rate (31.4 ± 0.17°C) and SMR (33.09°C), whereas the heart rate (28.86 ± 0.3°C) and SMR (29.22°C) of the northern oysters were lower. The same patterns were observed for the Q10 coefficients. More thermal sensitivity was observed in the northern oysters than in their southern counterparts, as the heat-shock proteins (HSPs) in the northern oysters were expressed first and had a higher induction at a lower temperature than those of southern oysters. Furthermore, different expression patterns of energetic metabolism genes (HK, PK, and PEPCK) were observed. In the northern oysters, increasing anaerobic glycolysis genes (PEPCK) and end products (succinate) were found at 36–43°C, indicating a transition from aerobic to anaerobic metabolism and a lower aerobic scope compared with the southern oysters. These two subspecies experience different environmental conditions, and their physiological performances suggested species-specific thermal tolerance windows in which the southern oysters, with mild physiological flexibility, had a higher potential capability to withstand heat stress. Overall, our results indicate that comparing and unifying physiological and molecular mechanisms can provide a framework for understanding the likely effects of global warming on marine ectotherms in intertidal regions.

Highlights

Temperature is one of the major contemporary drivers of worldwide patterns of biodiversity that influences intertidal animal biogeographic distributions through biochemical, physiological and ecological settings, leading to possible evolutionary outcomes (Somero, 2012; Stuart-Smith et al, 2017)
Studies on phenotypic trait variation in broadly distributed species provide a framework for descriptive characterizations of biogeographic distributions and local adaptations, which can lead to spatial differences in thermal tolerance among populations (Pörtner, 2001; Fangue et al, 2006; Pörtner et al, 2006)
This study showed that 100% survival of C. gigas gigas and C. gigas angulata could be achieved by exposing the oysters to 37◦C within 1 h, and the median upper lethal limits (LT50) were 42.4 and 43.7◦C, respectively (Figure 2); direct heat shock at 44◦C resulted in 100% mortality

Summary

Introduction

Temperature is one of the major contemporary drivers of worldwide patterns of biodiversity that influences intertidal animal biogeographic distributions through biochemical, physiological and ecological settings, leading to possible evolutionary outcomes (Somero, 2012; Stuart-Smith et al, 2017). Latitudinal patterns of variation in intraand interspecific comparisons of ectotherms, such as fishes (Fangue et al, 2006), crabs (Gaitan-Espitia et al, 2017), mussels (Tagliarolo and McQuaid, 2015), and oysters (Li A. et al, 2017; Li L. et al, 2018) have been documented. These data often reflect the correlation of environmental factors with variation in the distribution patterns of organisms over temporal and spatial scales (Stuart-Smith et al, 2017)

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