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      Energy reserves mobilization: Strategies of three decapod species

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          Abstract

          In food deprivation assays, several different responses have been observed in crustaceans. However, studying energy reserves utilization among more than one species during the same starvation period has not yet been performed, particularly to discern whether the responses are due to intrinsic and/or environmental factors. We hypothesize that decapod species with similar feeding habits have the same strategies in the use of energetic reserves during starvation, even though they inhabit different environments. The aim of this study was to compare the energy reserves mobilization of three decapods species ( Cherax quadricarinatus, Palaemon argentinus and Munida gregaria) with similar feeding habits, exposed to similar food deprivation conditions. The crayfish, shrimp and squat-lobster were experimentally kept at continuous feeding or continuous starvation throughout 15 days. Every 3 rd day, the midgut gland index (MGI), and the glycogen, lipid and protein contents were measured in the midgut gland (MG) and pleon muscle. Palaemon argentinus mobilized more reserves during starvation, followed by C. quadricarinatus, and the last M. gregaria. The starved shrimps presented low MGI, whereas MG showed a reduction in glycogen (from day 6 to 15), lipid (from day 3 to 15), and protein levels (at day 9 and 15) while in their muscle, lipid reserves decreased at days 3 and 6. In C. quadricarinatus, the most affected parameters in the MG were MGI, glycogen (from day 6 to 15), and lipids (at day 12 and 15). In the MG of M. gregaria only the glycogen was reduced during fasting from 3 to 15 days. Even though the three studied species have similar feeding habitats, we found that their energetic profile utilization is different and it could be explained by the habitat, life span, temperature, organ/tissue, and metabolism of the species. Our results may be useful to understand the several different responses of crustaceans during starvation.

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          Thermal adaptation in biological membranes: is homeoviscous adaptation the explanation?

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            Determination of glycogen in small tissue samples.

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              Model-based multi-locus estimation of decapod phylogeny and divergence times.

              Phylogenetic relationships among all of the major decapod infraorders have never been estimated using molecular data, while morphological studies produce conflicting results. In the present study, the phylogenetic relationships among the decapod basal suborder Dendrobranchiata and all of the currently recognized decapod infraorders within the suborder Pleocyemata (Caridea, Stenopodidea, Achelata, Astacidea, Thalassinidea, Anomala, and Brachyura) were inferred using 16S mtDNA, 18S and 28S rRNA, and the histone H3 gene. Phylogenies were reconstructed using the model-based methods of maximum likelihood and Bayesian methods coupled with Markov Chain Monte Carlo inference. The phylogenies revealed that the seven infraorders are monophyletic, with high clade support values (bp>70; pP>0.95) under both methods. The two suborders also were recovered as monophyletic, but with weaker support (bp=70; pP=0.74). Although the nodal support values for infraordinal relationships were low (bp<50; pP<0.77) the Anomala and Brachyura were basal to the rest of the 'Reptantia' in both reconstructions and using Bayesian tree topology tests alternate morphology-based hypotheses were rejected (P<0.01). Newly developed multi-locus Bayesian and likelihood heuristic rate-smoothing methods to estimate divergence times were compared using eight fossil and geological calibrations. Estimated times revealed that the Decapoda originated earlier than 437MYA and that the radiation within the group occurred rapidly, with all of the major lineages present by 325MYA. Node time estimation under both approaches is severely affected by the number and phylogenetic distribution of the fossil calibrations chosen. For analyses incorporating fossils as fixed ages, more consistent results were obtained by using both shallow and deep or clade-related calibration points. Divergence time estimation using fossils as lower and upper limits performed well with as few as one upper limit and a single deep fossil lower limit calibration.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: SupervisionRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: InvestigationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                8 September 2017
                2017
                : 12
                : 9
                : e0184060
                Affiliations
                [1 ] Centro Austral de Investigaciones Científicas, CONICET, Houssay, Ushuaia, Argentina
                [2 ] Instituto de Investigaciones Marinas y Costeras, Universidad Nacional de Mar del Plata, CONICET, FCEyN, Funes, Mar del Plata, Argentina
                [3 ] Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Biodiversidad y Biología Experimental, Laboratorio de Biología de la Reproducción y el Crecimiento de Crustáceos, Ciudad Universitaria, Buenos Aires, Argentina
                [4 ] CONICET-Universidad de Buenos Aires, Instituto de Biodiversidad y Biología Experimental y Aplicada (IBBEA), Ciudad Universitaria, Buenos Aires, Argentina
                University of Southern California, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-2331-8487
                Article
                PONE-D-17-13731
                10.1371/journal.pone.0184060
                5590860
                28886062
                a774c903-d070-4a58-b72e-0c519cd9b0db
                © 2017 Sacristán et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 8 April 2017
                : 17 August 2017
                Page count
                Figures: 5, Tables: 2, Pages: 19
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100003074, Agencia Nacional de Promoción Científica y Tecnológica;
                Award ID: PICT 2012- 01333
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100003074, Agencia Nacional de Promoción Científica y Tecnológica;
                Award ID: PICT 2012-0554
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100003074, Agencia Nacional de Promoción Científica y Tecnológica;
                Award ID: PICT 2012-0137
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100003074, Agencia Nacional de Promoción Científica y Tecnológica;
                Award ID: 15-2968
                Award Recipient :
                Funded by: EXA Universidad Nacional de Mar del Plata
                Award ID: Project 773/16
                Award Recipient :
                Funds for this research were provided by the Agencia Nacional de Promoción Científica y Tecnológica (PICT 2012- 01333 to LSLG; PICT 2012-0554 to GAL, PICT 2012-0137 to AVFG, and 2015-2968 to HJS). Additional funds were provided by the Universidad Nacional de Mar del Plata, EXA 773/16 to AVFG. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biochemistry
                Glycobiology
                Glycogens
                Biology and Life Sciences
                Biochemistry
                Lipids
                Biology and Life Sciences
                Organisms
                Animals
                Invertebrates
                Arthropoda
                Crustaceans
                Shrimp
                Ecology and Environmental Sciences
                Aquatic Environments
                Freshwater Environments
                Fresh Water
                Earth Sciences
                Marine and Aquatic Sciences
                Aquatic Environments
                Freshwater Environments
                Fresh Water
                Biology and Life Sciences
                Organisms
                Animals
                Invertebrates
                Arthropoda
                Crustaceans
                Biology and Life Sciences
                Nutrition
                Malnutrition
                Starvation
                Medicine and Health Sciences
                Nutrition
                Malnutrition
                Starvation
                Biology and Life Sciences
                Biochemistry
                Proteins
                Muscle Proteins
                Biology and Life Sciences
                Organisms
                Animals
                Invertebrates
                Arthropoda
                Crustaceans
                Crayfish
                Custom metadata
                All relevant data are available from the Figshare Repository at the following DOI: 10.6084/m9.figshare.5357896 and URL: https://figshare.com/s/3e41d4a9e0916cbe3a2a.

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                Uncategorized

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