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      Does size‐selective harvesting erode adaptive potential to thermal stress?

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          Abstract

          Overharvesting is a serious threat to many fish populations. High mortality and directional selection on body size can cause evolutionary change in exploited populations via selection for a specific phenotype and a potential reduction in phenotypic diversity. Whether the loss of phenotypic diversity that accompanies directional selection impairs response to environmental stress is not known. To address this question, we exposed three zebrafish selection lines to thermal stress. Two lines had experienced directional selection for (1) large and (2) small body size, and one was (3) subject to random removal of individuals with respect to body size (i.e. line with no directional selection). Selection lines were exposed to three temperatures (elevated, 34°C; ambient, 28°C; low, 22°C) to determine the response to an environmental stressor (thermal stress). We assessed differences among selection lines in their life history (growth and reproduction), physiological traits (metabolic rate and critical thermal max) and behaviour (activity and feeding behaviour) when reared at different temperatures. Lines experiencing directional selection (i.e. size selected) showed reduced growth rate and a shift in average phenotype in response to lower or elevated thermal stress compared with fish from the random‐selected line. Our data indicate that populations exposed to directional selection can have a more limited capacity to respond to thermal stress compared with fish that experience a comparable reduction in population size (but without directional selection). Future studies should aim to understand the impacts of environmental stressors on natural fish stocks.

          Abstract

          Size selection can act in tandem with diversity loss to reduce adaptive potential. Here, we show directional selection magnifies the effect of diversity loss alone to increase a population's susceptibility to thermal stress.

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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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                Author and article information

                Contributors
                daniel.e.sadler@jyu.fi
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                07 February 2024
                February 2024
                : 14
                : 2 ( doiID: 10.1002/ece3.v14.2 )
                : e11007
                Affiliations
                [ 1 ] Department of Biological and Environmental Science University of Jyväskylä Jyväskylä Finland
                Author notes
                [*] [* ] Correspondence

                Daniel E. Sadler, Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä 40014, Finland.

                Email: daniel.e.sadler@ 123456jyu.fi

                Author information
                https://orcid.org/0000-0001-9715-3270
                Article
                ECE311007 ECE-2023-06-01069.R1
                10.1002/ece3.11007
                10850808
                38333098
                4abfc728-bd34-4acd-a2b7-65120a28799e
                © 2024 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 12 January 2024
                : 27 June 2023
                : 30 January 2024
                Page count
                Figures: 8, Tables: 0, Pages: 15, Words: 10476
                Funding
                Funded by: Biotieteiden ja Ympäristön Tutkimuksen Toimikunta , doi 10.13039/501100005876;
                Award ID: 325107
                Categories
                Evolutionary Ecology
                Research Article
                Research Articles
                Custom metadata
                2.0
                February 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.6 mode:remove_FC converted:08.02.2024

                Evolutionary Biology
                adaptive potential,fisheries,phenotypic diversity,size selection,thermal stress

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