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      Pteropods make thinner shells in the upwelling region of the California Current Ecosystem

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          Abstract

          Shelled pteropods are widely regarded as bioindicators for ocean acidification, because their fragile aragonite shells are susceptible to increasing ocean acidity. While short-term incubations have demonstrated that pteropod calcification is negatively impacted by ocean acidification, we know little about net calcification in response to varying ocean conditions in natural populations. Here, we examine in situ calcification of Limacina helicina pteropods collected from the California Current Ecosystem, a coastal upwelling system with strong spatial gradients in ocean carbonate chemistry, dissolved oxygen and temperature. Depth-averaged pH ranged from 8.03 in warmer offshore waters to 7.77 in cold CO 2-rich waters nearshore. Based on high-resolution micro-CT technology, we showed that shell thickness declined by ~ 37% along the upwelling gradient from offshore to nearshore water. Dissolution marks covered only ~ 2% of the shell surface area and were not associated with the observed variation in shell thickness. We thus infer that pteropods make thinner shells where upwelling brings more acidified and colder waters to the surface. Probably the thinner shells do not result from enhanced dissolution, but are due to a decline in calcification. Reduced calcification of pteropods is likely to have major ecological and biogeochemical implications for the cycling of calcium carbonate in the oceans.

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          Fitting Linear Mixed-Effects Models Usinglme4

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            MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

            We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.
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              jModelTest 2: more models, new heuristics and parallel computing.

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                Author and article information

                Contributors
                lisettemekkes@gmail.com
                k.t.c.a.peijnenburg@uva.nl
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                18 January 2021
                18 January 2021
                2021
                : 11
                : 1731
                Affiliations
                [1 ]GRID grid.425948.6, ISNI 0000 0001 2159 802X, Naturalis Biodiversity Center, ; Leiden, The Netherlands
                [2 ]GRID grid.7177.6, ISNI 0000000084992262, Institute for Biodiversity and Ecosystem Dynamics, , University of Amsterdam, ; Amsterdam, The Netherlands
                [3 ]GRID grid.419399.f, ISNI 0000 0001 0057 0239, Southern California Coastal Water Research Project, ; Costa Mesa, CA USA
                [4 ]GRID grid.419523.8, ISNI 0000 0004 0637 0790, National Institute of Biology, ; Ljubljana, 1000 Slovenia
                [5 ]GRID grid.3532.7, ISNI 0000 0001 1266 2261, Pacific Marine Environmental Laboratory, , National Oceanic and Atmospheric Administration, ; Seattle, WA USA
                Article
                81131
                10.1038/s41598-021-81131-9
                7814018
                33462349
                0e227713-9ef3-42df-9546-d36be46940af
                © 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
                : 30 April 2020
                : 29 December 2020
                Funding
                Funded by: Vidi grant
                Award ID: 016.161.351
                Funded by: FundRef http://dx.doi.org/10.13039/100014652, Malacological Society of London;
                Funded by: Academy Ecology Fund from the Royal Netherlands Academy of Arts and Sciences (KNAW)
                Funded by: NOAA Ocean Acidification Program
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                marine biology,climate change,ecology,biogeochemistry
                Uncategorized
                marine biology, climate change, ecology, biogeochemistry

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