29 results on '"Solomon R. David"'
Search Results
2. Quantifying the contribution of zoos and aquariums to peer-reviewed scientific research
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Tse-Lynn Loh, Eric R. Larson, Solomon R. David, Lesley S. de Souza, Rebecca Gericke, Mary Gryzbek, Andrew S. Kough, Philip W. Willink, and Charles R. Knapp
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biodiversity conservation ,research in zoos and aquariums ,research productivity ,publishing trends ,science ,communication ,Education ,Science - Abstract
Modern zoos and aquariums aspire to contribute significantly to biodiversity conservation and research. For example, conservation research is a key accreditation criterion of the Association of Zoos and Aquariums (AZA). However, no studies to date have quantified this contribution. We assessed the research productivity of 228 AZA members using scientific publications indexed in the ISI Web of Science (WoS) database between 1993 and 2013 (inclusive). AZA members published 5175 peer-reviewed manuscripts over this period, with publication output increasing over time. Most publications were in the zoology and veterinary science subject areas, and articles classified as “biodiversity conservation” by WoS averaged 7% of total publications annually. From regression analyses, AZA organizations with larger financial assets generally published more, but research-affiliated mission statements were also associated with increased publication output. A strong publication record indicates expertise and expands scientific knowledge, enhancing organizational credibility. Institutions aspiring for higher research productivity likely require a dedicated research focus and adequate institutional support through research funding and staffing. We recommend future work build on our results by exploring links between zoo and aquarium research productivity and conservation outcomes or uptake.
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- 2019
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3. Nonlethal Fin Clip Model Validation for Stable Isotope Analysis of Spotted Gar and Alligator Gar
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Solomon R. David, Quenton C. Fontenot, Guillaume Rieucau, Anthea Fredrickson, and Alec R. Lackmann
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Fin ,biology ,Zoology ,Aquatic Science ,biology.organism_classification ,Alligator gar ,Ecology, Evolution, Behavior and Systematics ,Spotted gar ,Isotope analysis ,Model validation - Published
- 2021
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4. Hidden species diversity in an iconic living fossil vertebrate
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Chase D. Brownstein, Daemin Kim, Oliver D. Orr, Gabriela M. Hogue, Bryn H. Tracy, M. Worth Pugh, Randal Singer, Chelsea Myles-McBurney, Jon Michael Mollish, Jeffrey W. Simmons, Solomon R. David, Gregory Watkins-Colwell, Eva A. Hoffman, and Thomas J. Near
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Fossils ,Vertebrates ,Fisheries ,Animal Fins ,Animals ,General Agricultural and Biological Sciences ,Agricultural and Biological Sciences (miscellaneous) ,Head - Abstract
Ancient, species-poor lineages persistently occur across the Tree of life. These lineages are likely to contain unrecognized species diversity masked by the low rates of morphological evolution that characterize living fossils. Halecomorphi is a lineage of ray-finned fishes that diverged from its closest relatives before 200 Ma and is represented by only one living species in eastern North America, the bowfin, Amia calva Linnaeus. Here, we use double digest restriction-site-associated DNA sequencing and morphology to illuminate recent speciation in bowfins. Our results support the delimitation of a second living species of Amia , with the timing of diversification dating to the Plio-Pleistocene. This delimitation expands the species diversity of an ancient lineage that is integral to studies of vertebrate genomics and development, yet is facing growing conservation threats driven by the caviar fishery.
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- 2022
5. Goodbye to 'Rough Fish': Paradigm Shift in the Conservation of Native Fishes
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Nann A. Fangue, Parsa Saffarinia, Andrew L. Rypel, David E. Ayers, Christine A. Parisek, Solomon R. David, Miranda Bell-Tilcock, Caryn C. Vaughn, Katherine E. O’Reilly, Peter B. Moyle, Matthew L. Miller, and Larry Nesper
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Fishery ,Geography ,Paradigm shift ,Rough fish ,Aquatic Science ,Nature and Landscape Conservation - Published
- 2021
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6. Hidden species diversity in a living fossil vertebrate
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Chase D. Brownstein, Daemin Kim, Oliver D. Orr, Gabriela M. Hogue, Bryn H. Tracy, M. Worth Pugh, Randal Singer, Chelsea Myles-McBurney, Jon Michael Mollish, Jeffrey W. Simmons, Solomon R. David, Gregory Watkins-Colwell, Eva A. Hoffman, and Thomas J. Near
- Abstract
SummaryAncient, species-poor lineages persistently occur across the Tree of Life. These evolutionarily unique lineages are likely to contain unrecognized species diversity masked by the low rates of morphological evolution that characterize living fossils [1, 2]. Halecomorphi is a major clade of ray-finned fishes that diverged from its closest relatives over 200 million years ago [3, 4] yet is represented by only one recognized living species in eastern North America, the Bowfin Amia calva Linnaeus. Here, we use double digest restriction-site associated DNA (ddRAD) sequencing and high-resolution computed tomography to illuminate recent speciation in the bowfins. Our results support the resurrection of a second living species of Bowfin with the timing of diversification dating to the Pleistocene. In turn, we expand the species diversity of an ancient lineage that is integral to studies of vertebrate genomics and development [2, 3, 5], yet is facing growing conservation threats driven by the caviar fishery [6].
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- 2022
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7. Advances in Conservation and Management of the Alligator Gar: A Synthesis of Current Knowledge and Introduction to a Special Section
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Allyse M. Ferrara, E.L. Brinkman, Kayla D. Kimmel, Brian R. Kreiser, Solomon R. David, Matthew G. Wegener, Daniel J. Daugherty, and Nate G. Smith
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Ecology ,Special section ,Management, Monitoring, Policy and Law ,Aquatic Science ,Biology ,Current (fluid) ,biology.organism_classification ,Alligator gar ,Environmental planning ,Ecology, Evolution, Behavior and Systematics - Published
- 2020
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8. The bowfin genome illuminates the developmental evolution of ray-finned fishes
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Hugues Roest Crollius, Dustin J. Wcisel, Matthew P. Harris, Brett Racicot, Elise Parey, Jérôme Montfort, Solomon R. David, Quenton C. Fontenot, Kazuhiko Kawasaki, Allyse M. Ferrara, Yann Guiguen, Tatsuya Ota, Mauricio Losilla, Ingo Braasch, M. Brent Hawkins, Olivia E Fitch, Romain Feron, Andrew W. Thompson, Marine Milhes, Amy R. McCune, Qiaowei Pan, Emily Funk, Jeffrey A. Yoder, Camille Berthelot, Alex Dornburg, Alexandra Louis, Kevin L. Childs, Michigan State University [East Lansing], Michigan State University System, Harvard Medical School [Boston] (HMS), Boston Children's Hospital, Harvard University [Cambridge], Institut de biologie de l'ENS Paris (UMR 8197/1024) (IBENS), Département de Biologie - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), North Carolina State University [Raleigh] (NC State), University of North Carolina System (UNC), Graduate University for Advanced Studies [Hayama] (SOKENDAI), Pennsylvania State University (Penn State), Penn State System, Cornell University [New York], University of California [Davis] (UC Davis), University of California, University of Lausanne (UNIL), Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne (UNIL), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génome et Transcriptome - Plateforme Génomique ( GeT-PlaGe), Plateforme Génome & Transcriptome (GET), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Nicholls State University, University of North Carolina [Charlotte] (UNC), We are thankful for grant support from NIH R01OD011116 (I.B.), NSF DDIG DEB-1600920 (M.B.H.), NSF IOS-1755242 (A.D.) and NSF IOS-1755330 (J.A.Y.). Parts of this work have been supported by the Agence Nationale de la Recherche, France (ANR GenoFish project, 2016-2021, ANR-16-CE12-0035) to H.R.C., C.B., E.P., A.L. and Y.G. E.P., C.B. and H.R.C. received support under the program ‘Investissements d’Avenir’ launched by the French government and implemented by ANR with references ANR–10–LABX–54 MEMOLIFE and ANR-10-IDEX-0001-02 PSL* Université Paris. We thank F. Feng for access to Oneida Lake bowfin spawning habitats, the Bauer Core at Harvard University for sequencing fin transcriptomes and M. Gundappa (FISH & LINES) for species illustrations. Species silhouettes were obtained from http://PhyloPic.org. We are exceedingly grateful to the late J.L. Gómez-Skarmeta for his guidance on establishing ATAC-seq in holosteans., ANR-16-CE12-0035,GenoFish,Evolution des génes et des génomes après duplication compléte(2016), ANR-10-LABX-0054,MEMOLIFE,Memory in living systems: an integrated approach(2010), ANR-10-IDEX-0001,PSL,Paris Sciences et Lettres(2010), Institut de biologie de l'ENS Paris (IBENS), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Département de Biologie - ENS Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3)
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Scale (anatomy) ,[SDV]Life Sciences [q-bio] ,Sequence assembly ,Vertebrate Biology ,Genome ,Article ,Evolution, Molecular ,03 medical and health sciences ,0302 clinical medicine ,biology.animal ,[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN] ,Developmental biology ,Genetics ,Animals ,14. Life underwater ,Skates, Fish ,Bowfin ,ComputingMilieux_MISCELLANEOUS ,Amia calva ,030304 developmental biology ,0303 health sciences ,Phylogenetic tree ,biology ,Whole Genome Sequencing ,Fishes ,Vertebrate ,Genomics ,biology.organism_classification ,Biological Evolution ,Chromatin ,Body plan ,[SDV.BDD.EO]Life Sciences [q-bio]/Development Biology/Embryology and Organogenesis ,Amiidae ,Evolutionary biology ,Zoology ,030217 neurology & neurosurgery - Abstract
The bowfin (Amia calva) is a ray-finned fish that possesses a unique suite of ancestral and derived phenotypes, which are key to understanding vertebrate evolution. The phylogenetic position of bowfin as a representative of neopterygian fishes, its archetypical body plan and its unduplicated and slowly evolving genome make bowfin a central species for the genomic exploration of ray-finned fishes. Here we present a chromosome-level genome assembly for bowfin that enables gene-order analyses, settling long-debated neopterygian phylogenetic relationships. We examine chromatin accessibility and gene expression through bowfin development to investigate the evolution of immune, scale, respiratory and fin skeletal systems and identify hundreds of gene-regulatory loci conserved across vertebrates. These resources connect developmental evolution among bony fishes, further highlighting the bowfin’s importance for illuminating vertebrate biology and diversity in the genomic era., Analysis of a chromosome-level bowfin genome assembly sheds light into neopterygian fish evolution. Chromatin accessibility and gene expression profiling provides insight into bowfin embryonic development.
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- 2021
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9. Production and outmigration of young-of-year northern pike Esox lucius from natural and modified waterways connected to Lower Green Bay, Wisconsin
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Solomon R. David, Amy M. Cottrell, and Patrick S. Forsythe
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0106 biological sciences ,Range (biology) ,Wetland ,Aquatic Science ,Biology ,010603 evolutionary biology ,01 natural sciences ,Wisconsin ,Tributary ,Animals ,Ecology, Evolution, Behavior and Systematics ,Esox ,Pike ,computer.programming_language ,Shore ,geography ,geography.geographical_feature_category ,010604 marine biology & hydrobiology ,Fishes ,biology.organism_classification ,Fishery ,Habitat ,Bays ,Esocidae ,Seasons ,computer ,Bay - Abstract
Production and outmigration of young-of-year (YOY) northern pike from natal sites in Lower Green Bay, WI, USA, were documented over three consecutive years (2013-2015). We tested the hypothesis that spawning success and outmigration characteristics of YOY northern pike would vary among natural and anthropogenically modified habitats. Sixteen focal study locations were surveyed, including a restored natural wetland, agricultural drainage ditches, a flooded forested wetland and several unimpounded tributaries. We collected 1469 YOY northern pike with most individuals (N = 1163) originating from a flooded forested wetland on the east shore. Most sites produced YOY in all years (range N = 2-1145 individuals among study years). Outmigration ranged between 1 and 40 days during 2013-2015. Greater production and extended outmigration times occurred at most sites in 2014 (range 17-40 days) when the region experienced a late spring with heavy precipitation. In contrast, the lowest production and shortest outmigration period occurred at most sites in 2015 (range 14-23 days) when environmental conditions reflected regional averages. Outmigration began nearly 3 weeks earlier in 2015 (5/8) than in other study years (8 June 2013 and 25 May 2014). Total length (TL) of outmigrating northern pike ranged between 17 and 138 mm. Total length of YOY was significantly different among sites in 2013 and 2014, with the smallest fish (17 mm TL) outmigrating from agricultural ditches in both years. There were no significant variations in size among sites in 2015 (range 21-95 mm TL). Our results indicate significant variation in YOY northern pike outmigration characteristics within Lower Green Bay that may reflect the interplay between adult spawning site selection and annual weather patterns. Our findings highlight the importance of quantifying overlooked habitats in regions of mixed development.
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- 2021
10. The genome of the bowfin (Amia calva) illuminates the developmental evolution of ray-finned fishes
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Qiaowei Pan, Mauricio Losilla, Allyse M. Ferrara, Alex Dornburg, Tatsuya Ota, Kevin L. Childs, Yann Guiguen, Marine Milhes, Amy R. McCune, Ingo Braasch, Michael Brent Hawkins, Andrew W. Thompson, Emily Funk, Olivia E Fitch, Hugues Roest Crollius, Dustin J. Wcisel, Quenton C. Fontenot, Romain Feron, Brett Racicot, Elise Parey, Solomon R. David, Matthew P. Harris, Kazuhiko Kawasaki, Camille Berthelot, and Jeffrey A. Yoder
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biology ,Evolutionary biology ,Bowfin ,biology.organism_classification ,Genome - Abstract
The bowfin fish (Amia calva) diverged before the genome duplication in teleost fishes, and its archetypical body plan and slow rate of molecular evolution make it a key species for genomic exploration as a basal representative of the neopterygian fishes. To investigate the evolution and development of ray-finned fishes, we generated a chromosome-level genome assembly for bowfin that enables gene-order analyses which settle its long-debated, phylogenetic relationship with gars. We analyze the genomic underpinnings of the bowfin’s unique combination of derived and ancestral phenotypes involving the immune system as well as scale, respiratory organ, and skeletal development. By detailing chromatin accessibility and gene expression through bowfin development, we connect developmental gene regulatory loci across vertebrates. We illustrate the utility of these genomic resources to connect developmental evolution across bony fishes, showing the importance of bowfin in understanding vertebrate biology and diversity.
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- 2020
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11. Quantifying the contribution of zoos and aquariums to peer-reviewed scientific research
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Lesley S. de Souza, Charles R. Knapp, Rebecca Gericke, Eric Larson, Mary Gryzbek, Andrew S. Kough, Philip W. Willink, Solomon R. David, and Tse-Lynn Loh
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0106 biological sciences ,Multidisciplinary ,communication ,research in zoos and aquariums ,010604 marine biology & hydrobiology ,publishing trends ,research productivity ,010603 evolutionary biology ,01 natural sciences ,Biodiversity conservation ,Political science ,Science communication ,lcsh:Q ,Engineering ethics ,biodiversity conservation ,lcsh:L ,lcsh:Science ,science ,lcsh:Education ,Accreditation - Abstract
Modern zoos and aquariums aspire to contribute significantly to biodiversity conservation and research. For example, conservation research is a key accreditation criterion of the Association of Zoos and Aquariums (AZA). However, no studies to date have quantified this contribution. We assessed the research productivity of 228 AZA members using scientific publications indexed in the ISI Web of Science (WoS) database between 1993 and 2013 (inclusive). AZA members published 5175 peer-reviewed manuscripts over this period, with publication output increasing over time. Most publications were in the zoology and veterinary science subject areas, and articles classified as “biodiversity conservation” by WoS averaged 7% of total publications annually. From regression analyses, AZA organizations with larger financial assets generally published more, but research-affiliated mission statements were also associated with increased publication output. A strong publication record indicates expertise and expands scientific knowledge, enhancing organizational credibility. Institutions aspiring for higher research productivity likely require a dedicated research focus and adequate institutional support through research funding and staffing. We recommend future work build on our results by exploring links between zoo and aquarium research productivity and conservation outcomes or uptake.
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- 2018
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12. Primer Designs for Identification and Environmental DNA (eDNA) Detection of Gars
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Jeffrey L. Ram, Xavier N. Walker, Arjun S. Katailiha, Nicole J. Farley, Solomon R. David, Adrian A. Vasquez, and Richard Kik
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0106 biological sciences ,010604 marine biology & hydrobiology ,Environmental DNA ,Identification (biology) ,Computational biology ,Aquatic Science ,Biology ,Primer (molecular biology) ,010603 evolutionary biology ,01 natural sciences ,Ecology, Evolution, Behavior and Systematics - Published
- 2018
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13. Relative Bias and Precision of Age Estimates among Calcified Structures of Spotted Gar, Shortnose Gar, and Longnose Gar
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Jeffrey A. Stein, Solomon R. David, and Sarah M. King
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0106 biological sciences ,Shortnose gar ,010604 marine biology & hydrobiology ,Relative bias ,Zoology ,04 agricultural and veterinary sciences ,Aquatic Science ,Biology ,biology.organism_classification ,01 natural sciences ,Spotted gar ,Longnose gar ,040102 fisheries ,0401 agriculture, forestry, and fisheries ,Ecology, Evolution, Behavior and Systematics - Published
- 2018
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14. Genetic variation and biogeography of the spotted garLepisosteus oculatusfrom core and peripheral populations
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Jeremy J. Wright and Solomon R. David
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0106 biological sciences ,0301 basic medicine ,Conservation genetics ,Population ,Zoology ,Lepisosteus ,010603 evolutionary biology ,01 natural sciences ,03 medical and health sciences ,Genetic variation ,Genetics ,Animals ,education ,Ecology, Evolution, Behavior and Systematics ,education.field_of_study ,Genetic diversity ,biology ,Fishes ,Genetic Variation ,biology.organism_classification ,United States ,Spotted gar ,Genetic divergence ,Phylogeography ,030104 developmental biology ,Genetic distance ,Evolutionary biology ,Molecular Medicine ,Animal Science and Zoology ,Animal Distribution ,Developmental Biology - Abstract
The spotted gar (Lepisosteus oculatus) shows a disjunct natural distribution, with a core population extending from the central Mississippi River Basin to the U.S. gulf coast and a peripheral population in the southern Great Lakes Basin. Despite significant conservation concerns for this species in the Great Lakes watersheds where it occurs, few genetic examinations and comparisons of these populations have been performed. We investigated inter- and intrapopulational variation in several mitochondrial genetic markers (cytochrome oxidase subunit I, COI; cytochrome oxidase subunit II, COII; and 16S rRNA, 16S) from spotted gars taken from core and peripheral populations. Genetic diversity was highest in the Mississippi River Basin and lowest in the Great Lakes Basin, while the Nueces River Basin (Texas) population showed the greatest level of divergence from other populations. Average genetic distance among core and peripheral populations was over an order of magnitude less than that seen between L. oculatus and its sister species, the Florida gar (L. platyrhincus), although a significant correlation was found between genetic and geographical distance in L. oculatus. Genetic divergence in spotted gars is likely to be related to a combination of geographic isolation and founder effects associated with recent colonization following glacial retreat. Despite its apparent lack of significant genetic differentiation or haplotype diversity, the Great Lakes population of spotted gars has previously been shown to be a unique component of the species, and additional studies are needed to determine the genetic mechanisms underlying regional adaptations as well as potential morphological differentiation among spotted gar populations.
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- 2017
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15. Introduction to a Special Section: Angling for Dinosaurs-Status and Future Study of the Ecology, Conservation, and Management of Ancient Fishes
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Sarah M. King, Jeffrey A. Stein, and Solomon R. David
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0106 biological sciences ,Fishery ,Future study ,Geography ,010604 marine biology & hydrobiology ,Ecology (disciplines) ,Fishing ,Special section ,Aquatic Science ,010603 evolutionary biology ,01 natural sciences ,Ecology, Evolution, Behavior and Systematics - Published
- 2018
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16. Evidence of Countergradient Variation in Growth of Spotted Gars from Core and Peripheral Populations
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Richard Kik, Edward S. Rutherford, James S. Diana, Solomon R. David, and Michael J. Wiley
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geography ,education.field_of_study ,geography.geographical_feature_category ,biology ,Range (biology) ,Ecology ,Population ,Drainage basin ,Growing season ,Lepisosteus ,Aquatic Science ,Disjunct ,biology.organism_classification ,Spotted gar ,education ,Ecology, Evolution, Behavior and Systematics ,Environmental gradient - Abstract
Peripheral populations occupy the edge of a species' range and may exhibit adaptations to potentially “harsher” marginal environments compared with core populations. The peripheral population of Spotted Gar Lepisosteus oculatus in the Great Lakes basin represents the northern edge of the species' range and is completely disjunct from the core Mississippi River basin population. Age-0 Spotted Gars from the peripheral population experience a growing season approximately half that of the core population but reach similar sizes by winter, suggesting potential for countergradient variation in growth, i.e. an evolutionary response to an environmental gradient such as latitude to compensate for the usual phenotypic effect of that gradient. In this study we used two common garden experiments to investigate potential countergradient variation in growth of young-of-year Spotted Gars from peripheral populations in comparison with those from core populations. Our first experiment showed that in a common envir...
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- 2015
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17. Primer designs for identification and eDNA detection of gars (Lepisosteidae)
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Xavier N. Walker, Arjun S. Katailiha, Solomon R. David, Adrian A. Vasquez, Nicole J. Farley, Jeffrey L. Ram, and Richard Kik
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0106 biological sciences ,Lepisosteidae ,Mitochondrial DNA ,Shortnose gar ,010604 marine biology & hydrobiology ,In silico ,Zoology ,04 agricultural and veterinary sciences ,Lepisosteus ,Aquatic Science ,Biology ,biology.organism_classification ,01 natural sciences ,Game fish ,040102 fisheries ,0401 agriculture, forestry, and fisheries ,Environmental DNA ,Primer (molecular biology) ,Ecology, Evolution, Behavior and Systematics - Abstract
Gars (family Lepisosteidae) serve important roles as apex predators in freshwater ecosystems., helping to balance fish populations. Several gar species are exploited as food and game fish, and some species are classified as vulnerable due to habitat loss. New molecular techniques to detect, monitor, and identify environmental DNA from gars might help inform management and conservation efforts for these interesting fish. Therefore the goal of this project was to develop and test PCR primers for gars, using specimens of all seven gar species, which are on exhibit at the Belle Isle Aquarium in Detroit, Michigan. Focusing on the mitochondrial gene for cytochrome oxidase I (COI), we first designed primers to amplify DNA from all species of gars (“universal gar primers”) and confirmed their specificity in silico. These primers amplified DNA from all seven species, and species identities were confirmed by sequencing the PCR products. Only one of three ostensible Shortnose Gar Lepisosteus platostomus spec...
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- 2017
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18. Relative bias and precision of age estimates among calcified structures of Spotted Gar Lepisosteus oculatus, Shortnose Gar Lepisosteus platostomus, and Longnose Gar Lepisosteus osseus
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Solomon R. David, Sarah M. King, and Jeffrey A. Stein
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0106 biological sciences ,Lepisosteidae ,education.field_of_study ,biology ,Shortnose gar ,010604 marine biology & hydrobiology ,Population ,Fish fin ,Relative bias ,Zoology ,04 agricultural and veterinary sciences ,Anatomy ,Lepisosteus ,Aquatic Science ,biology.organism_classification ,01 natural sciences ,Spotted gar ,Longnose gar ,040102 fisheries ,0401 agriculture, forestry, and fisheries ,education ,Ecology, Evolution, Behavior and Systematics - Abstract
Recreational angling for gars Lepisosteidae has become more popular in recent years; however, the fundamental understanding of population dynamics needed for effective management and conservation is lacking. Age data are essential for describing population dynamic rate functions, but few studies have addressed selection of ideal calcified structures for use in estimating ages in gars. We collected Spotted Gars Lepisosteus oculatus, Shortnose Gars L. platostomus, and Longnose Gars L. osseus from twelve Illinois waterbodies to assess the relative bias and precision of age estimates among branchiostegal rays, pectoral fin rays, cleithra, and sagittal otoliths. Age assignments differed among calcified structures for all three species. Branchiostegal rays underestimated the age of young fish and overestimated the age of old fish relative to all other structures. Pectoral fin rays consistently underestimated age relative to other structures and produced the lowest mean and maximum age estimates. Low rel...
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- 2017
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19. Report from the Workshop on Coregonine Restoration Science
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David B. Bunnell, Charles R. Bronte, Michael J. Millard, Dimitry Gorsky, Lynn Vaccaro, Roger Gordon, Roy A. Stein, Jennifer Read, and Solomon R. David
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Biology - Published
- 2017
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20. #Welcome: Introducing the AFS Science Communication Section
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Solomon R. David, Edward Henry, Natalie Sopinka, Katherine E. O’Reilly, and Julie E. Claussen
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0106 biological sciences ,Section (archaeology) ,010604 marine biology & hydrobiology ,Library science ,Science communication ,Sociology ,Aquatic Science ,010603 evolutionary biology ,01 natural sciences ,Nature and Landscape Conservation - Published
- 2018
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21. Effects of Activity and Energy Budget Balancing Algorithm on Laboratory Performance of a Fish Bioenergetics Model
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Steven A. Pothoven, Solomon R. David, and Charles P. Madenjian
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Trout ,Bioenergetics ,Low activity ,Energy density ,High activity ,%22">Fish ,Aquatic Science ,Biology ,biology.organism_classification ,Energy budget ,Algorithm ,Ecology, Evolution, Behavior and Systematics ,Salvelinus - Abstract
We evaluated the performance of the Wisconsin bioenergetics model for lake trout Salvelinus namaycush that were fed ad libitum in laboratory tanks under regimes of low activity and high activity. In addition, we compared model performance under two different model algorithms: (1) balancing the lake trout energy budget on day t based on lake trout energy density on day t and (2) balancing the lake trout energy budget on day t based on lake trout energy density on day t + 1. Results indicated that the model significantly underestimated consumption for both inactive and active lake trout when algorithm 1 was used and that the degree of underestimation was similar for the two activity levels. In contrast, model performance substantially improved when using algorithm 2, as no detectable bias was found in model predictions of consumption for inactive fish and only a slight degree of overestimation was detected for active fish. The energy budget was accurately balanced by using algorithm 2 but not by us...
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- 2012
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22. Gene trees, species trees, and morphology converge on a similar phylogeny of living gars (Actinopterygii: Holostei: Lepisosteidae), an ancient clade of ray-finned fishes
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Thomas J. Near, Jeremy J. Wright, and Solomon R. David
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Fish Proteins ,Likelihood Functions ,Models, Genetic ,biology ,Phylogenetic tree ,Molecular Sequence Data ,Fishes ,Zoology ,Bayes Theorem ,Lepisosteus ,biology.organism_classification ,Coalescent theory ,Electron Transport Complex IV ,Genes, Mitochondrial ,Holostei ,Phylogenetics ,Genetics ,Animals ,Atractosteus ,Clade ,Molecular Biology ,Living fossil ,Phylogeny ,Ecology, Evolution, Behavior and Systematics ,Multilocus Sequence Typing - Abstract
Extant gars represent the remaining members of a formerly diverse assemblage of ancient ray-finned fishes and have been the subject of multiple phylogenetic analyses using morphological data. Here, we present the first hypothesis of phylogenetic relationships among living gar species based on molecular data, through the examination of gene tree heterogeneity and coalescent species tree analyses of a portion of one mitochondrial (COI) and seven nuclear (ENC1, myh6, plagl2, S7 ribosomal protein intron 1, sreb2, tbr1, and zic1) genes. Individual gene trees displayed varying degrees of resolution with regards to species-level relationships, and the gene trees inferred from COI and the S7 intron were the only two that were completely resolved. Coalescent species tree analyses of nuclear genes resulted in a well-resolved and strongly supported phylogenetic tree of living gar species, for which Bayesian posterior node support was further improved by the inclusion of the mitochondrial gene. Species-level relationships among gars inferred from our molecular data set were highly congruent with previously published morphological phylogenies, with the exception of the placement of two species, Lepisosteus osseus and L. platostomus. Re-examination of the character coding used by previous authors provided partial resolution of this topological discordance, resulting in broad concordance in the phylogenies inferred from individual genes, the coalescent species tree analysis, and morphology. The completely resolved phylogeny inferred from the molecular data set with strong Bayesian posterior support at all nodes provided insights into the potential for introgressive hybridization and patterns of allopatric speciation in the evolutionary history of living gars, as well as a solid foundation for future examinations of functional diversification and evolutionary stasis in a "living fossil" lineage.
- Published
- 2012
- Full Text
- View/download PDF
23. Trophic Transfer Efficiency of Methylmercury and Inorganic Mercury to Lake Trout Salvelinus namaycush from Its Prey
- Author
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Solomon R. David, David P. Krabbenhoft, and Charles P. Madenjian
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Food Chain ,Trout ,Health, Toxicology and Mutagenesis ,Food Contamination ,Toxicology ,Models, Biological ,Predation ,chemistry.chemical_compound ,Animals ,Ecotoxicology ,Methylmercury ,Biotransformation ,Swimming ,Trophic level ,Salvelinus ,biology ,Mercury ,General Medicine ,Methylmercury Compounds ,biology.organism_classification ,Pollution ,Inorganic mercury ,chemistry ,Transfer efficiency ,Environmental chemistry ,Regression Analysis ,Salmonidae ,Water Pollutants, Chemical - Abstract
Based on a laboratory experiment, we estimated the net trophic transfer efficiency of methylmercury to lake trout Salvelinus namaycush from its prey to be equal to 76.6 %. Under the assumption that gross trophic transfer efficiency of methylmercury to lake trout from its prey was equal to 80 %, we estimated that the rate at which lake trout eliminated methylmercury was 0.000244 day(-1). Our laboratory estimate of methylmercury elimination rate was 5.5 times lower than the value predicted by a published regression equation developed from estimates of methylmercury elimination rates for fish available from the literature. Thus, our results, in conjunction with other recent findings, suggested that methylmercury elimination rates for fish have been overestimated in previous studies. In addition, based on our laboratory experiment, we estimated that the net trophic transfer efficiency of inorganic mercury to lake trout from its prey was 63.5 %. The lower net trophic transfer efficiency for inorganic mercury compared with that for methylmercury was partly attributable to the greater elimination rate for inorganic mercury. We also found that the efficiency with which lake trout retained either methylmercury or inorganic mercury from their food did not appear to be significantly affected by the degree of their swimming activity.
- Published
- 2012
- Full Text
- View/download PDF
24. Decline in bloater fecundity in Southern Lake Michigan after decline of Diporeia
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David B. Bunnell, Solomon R. David, and Charles P. Madenjian
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education.field_of_study ,Ecology ,biology ,Mature oocyte ,Population ,Maternal effect ,Zoology ,Aquatic Science ,biology.organism_classification ,Fecundity ,Regression ,Predation ,Coregonus hoyi ,Sampling time ,education ,Ecology, Evolution, Behavior and Systematics - Abstract
Population fecundity can vary through time, sometimes owing to changes in adult condition. Consideration of these fecundity changes can improve understanding of recruitment variation. Herein, we estimated fecundity of Lake Michigan bloater Coregonus hoyi during December 2005 and February 2006. Bloater recruitment has been highly variable from 1962 to present, and consistently poor since 1992. We compared our fecundity vs. weight regression to a previously published regression that used fish sampled in October 1969. We wanted to develop a new regression for two reasons. First, it should be more accurate because it uses fish collected closer to spawning, thus minimizing the potential for atresia (egg reabsorption) which could bias fecundity high. Second, we hypothesized that fecundity would be lower in 2006 because adult condition was 41% lower in 2006 compared to 1969, likely owing to the decline of Diporeia spp, a primary prey for bloater. Although the slope of the fecundity versus weight regression was similar between the years, fecundity was 24% lower in 2006 than in 1969 for bloater weighing between 70 and 240 g. Whether this was the result of the difference in sampling time prior to spawning or of differences in condition is unknown. We also found no relationship between maternal size and mature oocyte size. Incorporating our updated fecundity regression into a stock/recruit model failed to improve the model fit, indicating that the low bloater recruitment that has been observed since the early 1990s is not solely the result of reduced fecundity.
- Published
- 2009
- Full Text
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25. Hierarchical Bayesian analysis of the carryover effect in two-period crossover designs
- Author
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Solomon R. David and John W. Seaman
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Markov chain ,Bayesian probability ,Posterior probability ,Monte Carlo method ,Crossover ,Markov chain Monte Carlo ,Numerical integration ,Computer Science Applications ,symbols.namesake ,Modeling and Simulation ,Modelling and Simulation ,Statistics ,symbols ,Bayesian hierarchical modeling ,Algorithm ,Mathematics - Abstract
In this paper, hierarchical Bayesian methods for the analysis of crossover designs are developed. First, we consider two hierarchical prior structures yielding posterior quantities that can be obtained via numerical integration. We illustrate this method with an analysis of two well-known data sets. Then we consider more flexible prior structures and a corresponding Markov chain Monte Carlo analysis of the resulting posterior distribution. We illustrate this method using data from a study conducted at Eli Lilly and Company. Throughout, we concentrate on inferences involving the carryover effect.
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- 2002
- Full Text
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26. Spotted Gar
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Solomon R. David
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Aquatic Science ,Nature and Landscape Conservation - Published
- 2017
- Full Text
- View/download PDF
27. Laboratory Estimation of Net Trophic Transfer Efficiencies of PCB Congeners to Lake Trout (Salvelinus namaycush) from Its Prey
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Charles P. Madenjian, James P. O'Keefe, Richard R. Rediske, and Solomon R. David
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General Immunology and Microbiology ,biology ,General Chemical Engineering ,General Neuroscience ,Polychlorinated biphenyl ,biology.organism_classification ,General Biochemistry, Genetics and Molecular Biology ,Predation ,Fishery ,Trout ,chemistry.chemical_compound ,chemistry ,Coregonus hoyi ,Environmental science ,High activity ,Laboratory experiment ,Salvelinus ,Trophic level - Abstract
A technique for laboratory estimation of net trophic transfer efficiency (γ) of polychlorinated biphenyl (PCB) congeners to piscivorous fish from their prey is described herein. During a 135-day laboratory experiment, we fed bloater (Coregonus hoyi) that had been caught in Lake Michigan to lake trout (Salvelinus namaycush) kept in eight laboratory tanks. Bloater is a natural prey for lake trout. In four of the tanks, a relatively high flow rate was used to ensure relatively high activity by the lake trout, whereas a low flow rate was used in the other four tanks, allowing for low lake trout activity. On a tank-by-tank basis, the amount of food eaten by the lake trout on each day of the experiment was recorded. Each lake trout was weighed at the start and end of the experiment. Four to nine lake trout from each of the eight tanks were sacrificed at the start of the experiment, and all 10 lake trout remaining in each of the tanks were euthanized at the end of the experiment. We determined concentrations of 75 PCB congeners in the lake trout at the start of the experiment, in the lake trout at the end of the experiment, and in bloaters fed to the lake trout during the experiment. Based on these measurements, γ was calculated for each of 75 PCB congeners in each of the eight tanks. Mean γ was calculated for each of the 75 PCB congeners for both active and inactive lake trout. Because the experiment was replicated in eight tanks, the standard error about mean γ could be estimated. Results from this type of experiment are useful in risk assessment models to predict future risk to humans and wildlife eating contaminated fish under various scenarios of environmental contamination.
- Published
- 2014
- Full Text
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28. Absence of fractionation of mercury isotopes during trophic transfer of methylmercury to freshwater fish in captivity
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Jessica A. Head, Sae Yun Kwon, Joel D. Blum, Niladri Basu, Charles P. Madenjian, Solomon R. David, and Michael J. Carvan
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Trout ,Fisheries ,Fresh Water ,Chemical Fractionation ,Article ,chemistry.chemical_compound ,Isotope fractionation ,Wisconsin ,Coregonus hoyi ,Environmental Chemistry ,Animals ,Methylmercury ,Ecosystem ,Salvelinus ,Trophic level ,Perch ,biology ,digestive, oral, and skin physiology ,General Chemistry ,Methylmercury Compounds ,biology.organism_classification ,Lakes ,Mercury Isotopes ,chemistry ,Food ,Perches ,Environmental chemistry ,Freshwater fish ,Environmental Monitoring - Abstract
We performed two controlled experiments to determine the amount of mass-dependent and mass-independent fractionation (MDF and MIF) of methylmercury (MeHg) during trophic transfer into fish. In experiment 1, juvenile yellow perch (Perca flavescens) were raised in captivity on commercial food pellets and then their diet was either maintained on unamended food pellets (0.1 μg/g MeHg) or was switched to food pellets with 1.0 μg/g or 4.0 μg/g of added MeHg, for a period of 2 months. The difference in δ(202)Hg (MDF) and Δ(199)Hg (MIF) between fish tissues and food pellets with added MeHg was within the analytical uncertainty (δ(202)Hg, 0.07 ‰; Δ(199)Hg, 0.06 ‰), indicating no isotope fractionation. In experiment 2, lake trout (Salvelinus namaycush) were raised in captivity on food pellets and then shifted to a diet of bloater (Coregonus hoyi) for 6 months. The δ(202)Hg and Δ(199)Hg of the lake trout equaled the isotopic composition of the bloater after 6 months, reflecting reequilibration of the Hg isotopic composition of the fish to new food sources and a lack of isotope fractionation during trophic transfer. We suggest that the stable Hg isotope ratios in fish can be used to trace environmental sources of Hg in aquatic ecosystems.
- Published
- 2012
29. Net trophic transfer efficiencies of polychlorinated biphenyl congeners to lake trout (Salvelinus namaycush) from its prey
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Richard R. Rediske, Charles P. Madenjian, James P. O'Keefe, and Solomon R. David
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endocrine system ,animal structures ,Food Chain ,Trout ,animal diseases ,Health, Toxicology and Mutagenesis ,Food chain ,chemistry.chemical_compound ,Animal science ,Coregonus hoyi ,Environmental Chemistry ,Animals ,Salmonidae ,Salvelinus ,Trophic level ,biology ,urogenital system ,Fishes ,Polychlorinated biphenyl ,biology.organism_classification ,Polychlorinated Biphenyls ,Fishery ,Congener ,chemistry ,Predatory Behavior ,Water Pollutants, Chemical ,Environmental Monitoring - Abstract
Lake trout (Salvelinus namaycush) were fed bloater (Coregonus hoyi) in eight laboratory tanks over a 135-d experiment. At the start of the experiment, four to nine fish in each tank were sacrificed, and the concentrations of 75 polychlorinated biphenyl (PCB) congeners within these fish were determined. Polychlorinated biphenyl congener concentrations were also determined in the 10 lake trout remaining in each of the eight tanks at the end of the experiment as well as in the bloater fed to the lake trout. Each lake trout was weighed at the start and the end of the experiment, and the amount of food eaten by the lake trout was recorded. Using these measurements, net trophic transfer efficiency (γ) from the bloater to the lake trout in each of the eight tanks was calculated for each of the 75 congeners. Results showed that γ did not vary significantly with the degree of chlorination of the PCB congeners, and γ averaged 0.66 across all congeners. However, γ did show a slight, but significant, decrease as log K(OW) increased from 6.0 to 8.2. Activity level of the lake trout did not have a significant effect on γ.
- Published
- 2012
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