Physiological adaptation of marine invertebrates to high CO2/low pH and hypoxia ‐ paradigms and pitfalls UK OA Research Programme Benthic Consortium – Task 1.4 Identify the potential for organism resistance and adaptation to prolonged CO2 exposure Piero Calosi, Marie Hawkins, Lucy M. Turner, Manuela Truebano, John I. Spicer Evolutionary approaches . . . . . • quantifying existing physiological diversity • comparing species and populations responses (also along environmental and geographical gradient/transplantations) • inferring paleophysiology • conducting laboratory selection experiments (natural and artificial) Evolutionary approaches . . . . . • quantifying existing physiological diversity • comparing species and populations responses (also along environmental and geographical gradient) • inferring paleophysiology • conducting laboratory selection experiments (natural and artificial) Pistevos J., Calosi P., Widdicombe S., Bishop J. 2011 Oikos Findlay H., Calosi P., Crawfurd K.J. 2011 Limn. Ocean. Evolutionary approaches . . . . . • quantifying existing physiological diversity • comparing species and populations responses (also along environmental and geographical gradient) • inferring paleophysiology • conducting laboratory selection experiments (natural and artificial) Melatunan, Calosi, Viant, Rundle, Widdicombe (in prep.) Evolutionary approaches . . . . . • quantifying existing physiological diversity • comparing species and populations responses (also along environmental and geographical gradient) • inferring paleophysiology [Jacobsen, Twitchett, Spicer (unpubl.)] • conducting laboratory selection experiments (natural and artificial) Evolutionary approaches . . . . . • quantifying existing physiological diversity • comparing species and populations responses (also along environmental and geographical gradient) • inferring paleophysiology • conducting laboratory selection experiments (natural and artificial) Do species possess the ability to adapt physiologically to rapid climatic changes? Laboratory Natural Selection ‐ Experimental Evolution Task 1.4 Identify the potential for organism resistance and adaptation to prolonged CO2 exposure H0 Marine organisms will not have the potential to adapt to rapidly changing levels of CO2 x temperature. The extent to which marine biodiversity and ecosystem functioning will be impacted by elevated CO2 x temperature in large part will be determined by the potential of eco‐physiological adaptation of marine organisms to these stressors. Unfortunately, our knowledge on rates of eco‐physiological adaptation in marine animals can, at present, only be inferred from either limited paleontological studies or laboratory studies of experimental evolution using model species . . . . . . In Task 1.4 we will identify the potential for adaptation in 2 marine invertebrate species . . . . . in laboratory‐based natural selection (LNS) experiments . . . . . Gammarus chevreuxi Gammarus marinus Gammarus duebeni Experimental Apparatus and Design Founders: large outbred population of the selected species, 5 independent lab lines for each treatment combination of CO2 and temperature (as Task 1.1 & 1.2) and hypoxia established and maintained across several generations. Assessment of key functions within and between generations: ‐ metabolic rates, thermal limits, ‐ Na+/K+ ATPase activity/gene expression, carbonic anhydrase activity/gene expression, ‐ life history / reproduction Experimental Apparatus and Design Founders: large outbred population of the selected species, 5 independent lab lines for each treatment combination of CO2 and temperature (as Task 1.1 & 1.2) and hypoxia established and maintained across several generations. Assessment of key functions within and between generations: ‐ metabolic rates, thermal limits, ‐ Na+/K+ ATPase activity/gene expression, carbonic anhydrase activity/gene expression, ‐ life history / reproduction Metabolic rates 55.0 MO2 (µl O2 h‐1 mg‐1 w.w.) 1 50.0 1 45.0 40.0 35.0 30.0 0 1 2 3 Generation control CO2 hypoxia CO2 * hypoxia Gammarus marinus Life-history Gammarus marinus 2.00 Hatchiling length (mm) 1 2 1.90 3 1.80 1 1.70 3 2 1.60 0 80.0 1 2 Generation 1 Body mass (mg) 75.0 70.0 Dunnett + Tuckey 2 65.0 control 60.0 1,2 CO2 55.0 hypoxia 50.0 0 1 2 Generation 3 CO2 * hypoxia 3 Relationships among traits GENERATIONS control 100 generation 1 CO2 generation 2 hypoxia generation 3 80 60 40 y = 9.2622x + 46.404 R² = 0.0327 20 CO2 * hypoxia Adult bm (mg w.w.) Adult bm (mg w.w.) 100 0 0.9 1.2 1.5 1.8 2.1 2.4 2.7 TREATMENTS 80 60 40 y = 9.2622x + 46.404 R² = 0.0327 20 0 3 0.9 1.2 1.5 Hatchling size (mm) 30 2.1 2.4 2.7 3 30 25 y = 0.2915x ‐ 0.8151 R² = 0.5128 Eggs number 1st brood Eggs number 1st brood 1.8 Hatchling size (mm) 20 15 10 5 0 20 30 40 50 60 70 80 90 100 Adult bm (mg w.w.) Gammarus marinus 25 y = 0.2915x ‐ 0.8151 R² = 0.5128 20 15 10 5 0 20 30 40 50 60 70 Adult bm (mg w.w.) 80 90 100 Remarks - There might be preliminary indications that rapid adaptation may occur in gammarid amphipods, however relationships among traits do not seem to change across different generations or treatments. - Need to use an ‘individual approach’ and conduct ‘cross over experiments’ and field verification. ‘To validate the results generated in this task, we will measure a number of the same physiological functions in animals occurring naturally (and transplanted) in localities with natural CO2 vents and in contiguous areas not affected by such vents’. Sea Urchins Acid-base-dependent distribution around a CO2 vent Characterisation of density and haemolymph acid-based and ionic status responses in sea urchins exposed in-situ to elevated pCO2/low pH conditions (transplantation experiments). Marine Pollution Bulletin in review Arbacia lixula Paracentrotus lividus Calosi P., Rastrick S.P.S., Graziano M., Hall-Spencer J., Milazzo M., Spicer J.I. Polychaetes Metabolic adaptation in populations living around a CO2 vent Calosi P., Rastrick S.P.S., Lombardi C., Spicer J.I., Gambi M.C. Thanks For assistance in the laboratory to the students members of TEAM EVOLUTION and Consortia Members. For technical assistance, R. Haslam, A. Torr, R. Ticehurst. The staff of the Benthic ecology group at Villa Dohrn (Ischia), in particular Capt. Vincenzo Rando, and diving officer Bruno Iacono. For additional funding:
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