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      Environmental DNA provides quantitative estimates of Pacific hake abundance and distribution in the open ocean

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          Abstract

          All species inevitably leave genetic traces in their environments, and the resulting environmental DNA (eDNA) reflects the species present in a given habitat. It remains unclear whether eDNA signals can provide quantitative metrics of abundance on which human livelihoods or conservation successes depend. Here, we report the results of a large eDNA ocean survey (spanning 86 000 km 2 to depths of 500 m) to understand the abundance and distribution of Pacific hake ( Merluccius productus), the target of the largest finfish fishery along the west coast of the USA. We sampled eDNA in parallel with a traditional acoustic-trawl survey to assess the value of eDNA surveys at a scale relevant to fisheries management. Despite local differences, the two methods yield comparable information about the broad-scale spatial distribution and abundance. Furthermore, we find depth and spatial patterns of eDNA closely correspond to acoustic-trawl estimates for hake. We demonstrate the power and efficacy of eDNA sampling for estimating abundance and distribution and move the analysis eDNA data beyond sample-to-sample comparisons to management relevant scales. We posit that eDNA methods are capable of providing general quantitative applications that will prove especially valuable in data- or resource-limited contexts.

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          Re-epithelialization and immune cell behaviour in an ex vivo human skin model

          A large body of literature is available on wound healing in humans. Nonetheless, a standardized ex vivo wound model without disruption of the dermal compartment has not been put forward with compelling justification. Here, we present a novel wound model based on application of negative pressure and its effects for epidermal regeneration and immune cell behaviour. Importantly, the basement membrane remained intact after blister roof removal and keratinocytes were absent in the wounded area. Upon six days of culture, the wound was covered with one to three-cell thick K14+Ki67+ keratinocyte layers, indicating that proliferation and migration were involved in wound closure. After eight to twelve days, a multi-layered epidermis was formed expressing epidermal differentiation markers (K10, filaggrin, DSG-1, CDSN). Investigations about immune cell-specific manners revealed more T cells in the blister roof epidermis compared to normal epidermis. We identified several cell populations in blister roof epidermis and suction blister fluid that are absent in normal epidermis which correlated with their decrease in the dermis, indicating a dermal efflux upon negative pressure. Together, our model recapitulates the main features of epithelial wound regeneration, and can be applied for testing wound healing therapies and investigating underlying mechanisms.
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            brms: An R Package for Bayesian Multilevel Models Using Stan

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              Advanced Bayesian Multilevel Modeling with the R Package brms

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                Author and article information

                Contributors
                Journal
                Proc Biol Sci
                Proc Biol Sci
                RSPB
                royprsb
                Proceedings of the Royal Society B: Biological Sciences
                The Royal Society
                0962-8452
                1471-2954
                March 30, 2022
                March 23, 2022
                March 23, 2022
                : 289
                : 1971
                : 20212613
                Affiliations
                [ 1 ] Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, , 2725 Montlake Blvd. E, Seattle, WA 98112, USA
                [ 2 ] Lynker Technologies, Under Contract to Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, , 2725 Montlake Blvd. E, Seattle, WA 98112, USA
                [ 3 ] Fisheries Resource Analysis and Monitoring Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, , 2725 Montlake Blvd. E, Seattle, WA 98112, USA
                [ 4 ] Cooperative Institute for Climate, Ocean, and Ecosystem Studies, University of Washington at Northwest Fisheries Science Center, National Marine Fisheries Service, , Seattle, WA 98112, USA
                [ 5 ] School of Marine and Environmental Affairs, University of Washington, , 3707 Brooklyn Ave NE, Seattle, WA 98105, USA
                [ 6 ] Resource Assessment and Conservation Engineering Division, Alaska Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, , 7600 Sand Point Way NE, Seattle, WA 98115, USA
                Author notes

                Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.5884489.

                Author information
                http://orcid.org/0000-0002-8045-6141
                http://orcid.org/0000-0002-9204-6932
                https://orcid.org/0000-0001-5215-4878
                https://orcid.org/0000-0003-3453-7239
                Article
                rspb20212613
                10.1098/rspb.2021.2613
                8941408
                35317670
                0f31d330-0c58-42ad-81c1-046fbb6d0bdc
                © 2022 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : December 1, 2021
                : Feburary 17, 2022
                Categories
                1001
                206
                60
                69
                Biological Applications
                Research Articles
                Custom metadata
                March 30, 2022

                Life sciences
                environmental dna,species distributions,fisheries,ocean surveys
                Life sciences
                environmental dna, species distributions, fisheries, ocean surveys

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