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      Combined effects of crude oil exposure and warming on eggs and larvae of an arctic forage fish

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          Abstract

          Climate change, along with environmental pollution, can act synergistically on an organism to amplify adverse effects of exposure. The Arctic is undergoing profound climatic change and an increase in human activity, resulting in a heightened risk of accidental oil spills. Embryos and larvae of polar cod ( Boreogadus saida), a key Arctic forage fish species, were exposed to low levels of crude oil concurrently with a 2.3 °C increase in water temperature. Here we show synergistic adverse effects of increased temperature and crude oil exposure on early life stages documented by an increased prevalence of malformations and mortality in exposed larvae. The combined effects of these stressors were most prevalent in the first feeding larval stages despite embryonic exposure, highlighting potential long-term consequences of exposure for survival, growth, and reproduction. Our findings suggest that a warmer Arctic with greater human activity will adversely impact early life stages of this circumpolar forage fish.

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          Most cited references98

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          NIH Image to ImageJ: 25 years of image analysis

          For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            A new mathematical model for relative quantification in real-time RT-PCR.

            M. Pfaffl (2001)
            Use of the real-time polymerase chain reaction (PCR) to amplify cDNA products reverse transcribed from mRNA is on the way to becoming a routine tool in molecular biology to study low abundance gene expression. Real-time PCR is easy to perform, provides the necessary accuracy and produces reliable as well as rapid quantification results. But accurate quantification of nucleic acids requires a reproducible methodology and an adequate mathematical model for data analysis. This study enters into the particular topics of the relative quantification in real-time RT-PCR of a target gene transcript in comparison to a reference gene transcript. Therefore, a new mathematical model is presented. The relative expression ratio is calculated only from the real-time PCR efficiencies and the crossing point deviation of an unknown sample versus a control. This model needs no calibration curve. Control levels were included in the model to standardise each reaction run with respect to RNA integrity, sample loading and inter-PCR variations. High accuracy and reproducibility (<2.5% variation) were reached in LightCycler PCR using the established mathematical model.
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              Ecology. Physiology and climate change.

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                Author and article information

                Contributors
                morgan.l.bender@uit.no
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                16 April 2021
                16 April 2021
                2021
                : 11
                : 8410
                Affiliations
                [1 ]GRID grid.10919.30, ISNI 0000000122595234, Department of Arctic and Marine Biology, , UiT The Arctic University of Norway, ; 9037 Tromsø, Norway
                [2 ]GRID grid.417991.3, ISNI 0000 0004 7704 0318, Akvaplan-Niva, Fram Centre, ; 9296 Tromsø, Norway
                [3 ]GRID grid.422702.1, ISNI 0000 0001 1356 4495, Environmental and Fisheries Sciences Division, Northwest Fisheries Science Center, , National Marine Fisheries Service, National Oceanic and Atmospheric Administration, ; 2725 Montlake Blvd. East, Seattle, Washington, 98112 USA
                [4 ]SINTEF Ocean, Environment and New Resources, 7465 Trondheim, Norway
                [5 ]GRID grid.410415.5, ISNI 0000 0000 9388 4992, Scottish Association for Marine Science, ; Oban, PA37 1QA UK
                [6 ]GRID grid.20898.3b, ISNI 0000 0004 0428 2244, Department of Arctic Technology, , The University Centre in Svalbard, ; Longyearbyen, Svalbard Norway
                [7 ]GRID grid.422702.1, ISNI 0000 0001 1356 4495, Fisheries Behavioral Ecology Program, Alaska Fisheries Science Center, , National Marine Fisheries Service, NOAA, Hatfield Marine Science Center, ; Newport, OR 97365 USA
                Article
                87932
                10.1038/s41598-021-87932-2
                8052424
                33863955
                d404b36b-e34c-46f9-a379-1c94787cd822
                © The Author(s) 2021

                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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 4 August 2020
                : 30 March 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100005416, Norges Forskningsråd;
                Award ID: 228107
                Award ID: 195160
                Award Recipient :
                Funded by: Fram centre Flagship (MIKON)
                Award ID: Sens2change
                Award ID: Sens2change
                Award ID: Sens2change
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                ecophysiology,embryology,environmental impact
                Uncategorized
                ecophysiology, embryology, environmental impact

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