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Mechanisms behind the metabolic flexibility of an invasive comb jelly
Institution:1. Center for Ocean Life, DTU AQUA, Charlottenlund Castle, 2920 Charlottenlund, Denmark;2. Aix Marseille Université, Mediterranean Institute of Oceanography CNRS/INSU, IRD, UM 110, 13288 Marseille, France;3. Université de Toulon, Mediterranean Institute of Oceanography, CNRS/INSU, IRD, UM 110, 83957 La Garde, France;4. Helmholtz Centre for Ocean Research Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany;5. Department of Theoretical Biology, Vrije Universiteit, de Boelelaan 1087, 1081 HV Amsterdam, The Netherlands;6. CIMAR/CIIMAR — Centro Interdisciplinar de Investigação Marinha e Ambiental, Universidade do Porto, Rua dos Bragas 289, 4050-123 Porto, Portugal;7. Royal Netherlands Institute for Sea Research, P.O. Box 59, 1790 AB Den Burg Texel, The Netherlands;1. Laboratoire de Biologie Marine, Université Libre de Bruxelles, Avenue F.D.Roosevelt, 50. CP 160/15. 1050 BRUXELLES, BELGIUM;2. UMR 6282 Biogéosciences, Univ. Bourgogne Franche-Comté, CNRS, EPHE, 6 bd Gabriel F-21000 Dijon, France;3. British Antarctic Survey, Natural Environment Research Council, Cambridge, CB30ET UK;4. Kvaplan-Niva, Fram High North Research Centre for Climate and the Environment, 9296 Tromsø, Norway;5. Department of Theoretical Biology, VU University Amsterdam, de Boelelaan 1087, 1081 HV Amsterdam, The Netherlands;1. Department of Biology, University of Crete, Heraklion, 70013, Greece;2. Institute of Computational Mathematics, Foundation of Research and Technology Hellas, 70013 Heraklion, Greece;3. Akvaplan-niva, Fram High North Research Centre for Climate and the Environment, Tromsø 9296, Norway;4. Department of Theoretical Biology, VU University Amsterdam de Boelelaan 1087, 1081 HV Amsterdam, the Netherlands;1. Ru?er Bo?kovi? Institute, Bijeni?ka cesta 54, Zagreb HR-10002, Croatia;2. School of Biological Sciences, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia;3. Institute of Innovative Research, Tokyo Institute of Technology, Nagatsuta-cho 4259, Midori-ku, Yokohama 226-8503, Japan;4. Center of Mathematics for Social Creativity, Hokkaido University, 12-7 Kita-ku, Sapporo 060-0812, Japan;5. Marineland, CS Antibes 91111 06605, France;6. Vrije Universiteit Amsterdam, De Boelelaan 1105, Amsterdam 1081, Netherlands;1. Dipartimento di Scienze della Terra e del Mare, University of Palermo, Viale delle Scienze Ed. 16, 90128 Palermo, Italy;2. VU, Vrije Universiteit Amsterdam, Department of Theoretical Biology, De Boelelaan 1087, 1081 HV Amsterdam, The Netherlands
Abstract:Mnemiopsis leidyi is an invasive comb jelly which has successfully established itself in European seas. The species is known to produce spectacular blooms yet it is holoplanktonic and not much is known about its population dynamics in between. One way to gain insight on how M. leidyi might survive between blooms and how it can bloom so fast is to study how the metabolism of this species actually responds to environmental changes in food and temperature over its different life-stages. To this end we combined modelling and data analysis to study the energy budget of M. leidyi over its full life-cycle using Dynamic Energy Budget (DEB) theory and literature data.An analysis of data obtained at temperatures ranging from 8 to 30 °C suggests that the optimum thermal tolerance range of M. leidyi is higher than 12 °C. Furthermore M. leidyi seems to undergo a so-called metabolic acceleration after hatching. Intriguingly, the onset of the acceleration appears to be delayed and the data do not yet exist which allows determining what actually triggers it. It is hypothesised that this delay confers a lot of metabolic flexibility by controlling generation time.We compared the DEB model parameters for this species with those of another holoplanktonic gelatinous zooplankton species (Pelagia noctiluca). After accounting for differences in water content, the comparison shows just how fundamentally different the two energy allocation strategies are. P. noctiluca has an extremely high reserve capacity, low turnover times of reserve compounds and high resistance to shrinking. M. leidyi adopts the opposite strategy: it has a low reserve capacity, high turnover rates of reserve compounds and fast shrinking.
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