15
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Multidisciplinary studies on a sick-leader syndrome-associated mass stranding of sperm whales ( Physeter macrocephalus) along the Adriatic coast of Italy

      research-article
      1 , 1 , , 1 , 1 , 2 , 3 , 3 , 3 , 4 , 5 , 5 , 6 , 6 , 7 , 7 , 8 , 9 , 10 , 10 , 11 , 11 , 12 , 13 , 14 , 15 , 16 , 16 , 17 , 18 , 18 , 18 , 18 , 4
      Scientific Reports
      Nature Publishing Group UK

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Mass strandings of sperm whales ( Physeter macrocephalus) are rare in the Mediterranean Sea. Nevertheless, in 2014 a pod of 7 specimens stranded alive along the Italian coast of the Central Adriatic Sea: 3 individuals died on the beach after a few hours due to internal damages induced by prolonged recumbency; the remaining 4 whales were refloated after great efforts. All the dead animals were genetically related females; one was pregnant. All the animals were infected by dolphin morbillivirus (DMV) and the pregnant whale was also affected by a severe nephropathy due to a large kidney stone. Other analyses ruled out other possible relevant factors related to weather conditions or human activities. The results of multidisciplinary post-mortem analyses revealed that the 7 sperm whales entered the Adriatic Sea encountering adverse weather conditions and then kept heading northward following the pregnant but sick leader of the pod, thereby reaching the stranding site. DMV infection most likely played a crucial role in impairing the health condition and orientation abilities of the whales. They did not steer back towards deeper waters, but eventually stranded along the Central Adriatic Sea coastline, a real trap for sperm whales.

          Related collections

          Most cited references81

          • Record: found
          • Abstract: found
          • Article: not found

          The 2005 World Health Organization reevaluation of human and Mammalian toxic equivalency factors for dioxins and dioxin-like compounds.

          In June 2005, a World Health Organization (WHO)-International Programme on Chemical Safety expert meeting was held in Geneva during which the toxic equivalency factors (TEFs) for dioxin-like compounds, including some polychlorinated biphenyls (PCBs), were reevaluated. For this reevaluation process, the refined TEF database recently published by Haws et al. (2006, Toxicol. Sci. 89, 4-30) was used as a starting point. Decisions about a TEF value were made based on a combination of unweighted relative effect potency (REP) distributions from this database, expert judgment, and point estimates. Previous TEFs were assigned in increments of 0.01, 0.05, 0.1, etc., but for this reevaluation, it was decided to use half order of magnitude increments on a logarithmic scale of 0.03, 0.1, 0.3, etc. Changes were decided by the expert panel for 2,3,4,7,8-pentachlorodibenzofuran (PeCDF) (TEF = 0.3), 1,2,3,7,8-pentachlorodibenzofuran (PeCDF) (TEF = 0.03), octachlorodibenzo-p-dioxin and octachlorodibenzofuran (TEFs = 0.0003), 3,4,4',5-tetrachlorbiphenyl (PCB 81) (TEF = 0.0003), 3,3',4,4',5,5'-hexachlorobiphenyl (PCB 169) (TEF = 0.03), and a single TEF value (0.00003) for all relevant mono-ortho-substituted PCBs. Additivity, an important prerequisite of the TEF concept was again confirmed by results from recent in vivo mixture studies. Some experimental evidence shows that non-dioxin-like aryl hydrocarbon receptor agonists/antagonists are able to impact the overall toxic potency of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and related compounds, and this needs to be investigated further. Certain individual and groups of compounds were identified for possible future inclusion in the TEF concept, including 3,4,4'-TCB (PCB 37), polybrominated dibenzo-p-dioxins and dibenzofurans, mixed polyhalogenated dibenzo-p-dioxins and dibenzofurans, polyhalogenated naphthalenes, and polybrominated biphenyls. Concern was expressed about direct application of the TEF/total toxic equivalency (TEQ) approach to abiotic matrices, such as soil, sediment, etc., for direct application in human risk assessment. This is problematic as the present TEF scheme and TEQ methodology are primarily intended for estimating exposure and risks via oral ingestion (e.g., by dietary intake). A number of future approaches to determine alternative or additional TEFs were also identified. These included the use of a probabilistic methodology to determine TEFs that better describe the associated levels of uncertainty and "systemic" TEFs for blood and adipose tissue and TEQ for body burden.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Sibship reconstruction from genetic data with typing errors.

            Likelihood methods have been developed to partition individuals in a sample into full-sib and half-sib families using genetic marker data without parental information. They invariably make the critical assumption that marker data are free of genotyping errors and mutations and are thus completely reliable in inferring sibships. Unfortunately, however, this assumption is rarely tenable for virtually all kinds of genetic markers in practical use and, if violated, can severely bias sibship estimates as shown by simulations in this article. I propose a new likelihood method with simple and robust models of typing error incorporated into it. Simulations show that the new method can be used to infer full- and half-sibships accurately from marker data with a high error rate and to identify typing errors at each locus in each reconstructed sib family. The new method also improves previous ones by adopting a fresh iterative procedure for updating allele frequencies with reconstructed sibships taken into account, by allowing for the use of parental information, and by using efficient algorithms for calculating the likelihood function and searching for the maximum-likelihood configuration. It is tested extensively on simulated data with a varying number of marker loci, different rates of typing errors, and various sample sizes and family structures and applied to two empirical data sets to demonstrate its usefulness.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Microsatellite markers for the study of cetacean populations.

              Microsatellites are one of the most important classes of nuclear genetic markers and offer many advantages for the study of marine mammals. Here we describe the isolation and characterization of 12 cetacean microsatellites which are then tested across 30 different cetacean species. For around half the species tested, five or more polymorphic loci were identified. Since many species were represented by only one or two specimens, this figure is likely to underestimate the usefulness of these markers. No relationship was found between microsatellite repeat length and proportion of species which gave polymorphic products.
                Bookmark

                Author and article information

                Contributors
                cinzia.centelleghe@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                1 August 2018
                1 August 2018
                2018
                : 8
                : 11577
                Affiliations
                [1 ]ISNI 0000 0004 1757 3470, GRID grid.5608.b, Department of Comparative Biomedicine and Food Science, , University of Padova, ; Padova, Italy
                [2 ]ISNI 0000 0004 1757 3470, GRID grid.5608.b, Department of Animal Medicine, Production and Health, , University of Padova, ; Padova, Italy
                [3 ]ISNI 0000 0004 1805 1770, GRID grid.419578.6, Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “G. Caporale”, ; Teramo, Italy
                [4 ]University of Teramo, Faculty of Veterinary Medicine, Località Piano d’Accio, 64100 Teramo, Italy
                [5 ]Centro Studi Cetacei, Pescara (CSC), Italy
                [6 ]Istituto Zooprofilattico Sperimentale del Lazio e della Toscana M. Aleandri, Rome, Italy
                [7 ]Istituto Zooprofilattico Sperimentale della Puglia e della Basilicata, Foggia, Italy
                [8 ]ISNI 0000 0001 2151 3065, GRID grid.5606.5, Department DISTAV, , University of Genova, ; Genova, Italy
                [9 ]Museum of Natural History of Milan, Milano, Italy
                [10 ]ISNI 0000 0004 1757 4641, GRID grid.9024.f, Department of Physical Science, Earth and Environment, , University of Siena, ; Siena, Italy
                [11 ]GRID grid.7841.a, Department of Public Health and Infectious Diseases, , University La Sapienza, ; Rome, Italy
                [12 ]ISNI 0000 0004 1759 2866, GRID grid.419586.7, Istituto Zooprofilattico Sperimentale della Sardegna, ; Sassari, Italy
                [13 ]ISNI 0000 0004 1757 1758, GRID grid.6292.f, Department of Veterinary Science, , University of Bologna, ; Bologna, Italy
                [14 ]Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna, Ferrara, Italy
                [15 ]ISNI 0000 0001 2205 5473, GRID grid.423782.8, ISPRA, ; Chioggia, Italy
                [16 ]ISNI 0000 0004 1769 9380, GRID grid.4521.2, Institute of Animal Health and Food Safety, , Universitad de Las Palmas de Gran Canaria, ; Las Palmas, Spain
                [17 ]ISNI 0000 0004 0450 3123, GRID grid.464046.4, Institute for Neurosciences of Montpellier (Inserm UMR 1051), ; Montpellier, France
                [18 ]Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Val d’Aosta, Torino, Italy
                Author information
                http://orcid.org/0000-0002-7531-7040
                http://orcid.org/0000-0002-7330-6890
                http://orcid.org/0000-0002-7985-2972
                Article
                29966
                10.1038/s41598-018-29966-7
                6070578
                30068967
                d9104a7d-1794-4b8a-bd98-9cae5cfe44d8
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 19 February 2018
                : 21 July 2018
                Categories
                Article
                Custom metadata
                © The Author(s) 2018

                Uncategorized
                Uncategorized

                Comments

                Comment on this article

                scite_

                Similar content708

                Cited by11

                Most referenced authors1,124