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      Parasite intensity drives fetal development and sex allocation in a wild ungulate

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          Abstract

          An understanding of the mechanisms influencing prenatal characteristics is fundamental to comprehend the role of ecological and evolutionary processes behind survival and reproductive success in animals. Although the negative influence of parasites on host fitness is undisputable, we know very little about how parasitic infection in reproductive females might influence prenatal factors such as fetal development and sex allocation. Using an archival collection of Dall’s sheep ( Ovis dalli dalli), a capital breeder that depends on its body reserves to overcome the arctic winter, we investigated the direct and indirect impacts of the parasite community on fetal development and sex allocation. Using partial least squares modelling, we observed a negative effect of parasite community on fetal development, driven primarily by the nematode Marshallagia marshalli. Principal component analysis demonstrated that mothers with low parasite burden and in good body condition were more likely to have female versus male fetuses. This association was primarily driven by the indirect effect of M. marshalli on ewe body condition. Refining our knowledge of the direct and indirect impact that parasite communities can have on reproduction in mammals is critical for understanding the effects of infectious diseases on wildlife populations. This can be particularly relevant for species living in ecosystems sensitive to the effects of global climate change.

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          Natural Selection of Parental Ability to Vary the Sex Ratio of Offspring

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            Early development and fitness in birds and mammals.

            Conditions experienced during early development affect survival and reproductive performance in many bird and mammal species. Factors affecting early development can therefore have an important influence both on the optimization of life histories and on population dynamics. The understanding of these evolutionary and dynamic consequences is just starting to emerge.
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              New perspectives for estimating body condition from mass/length data: the scaled mass index as an alternative method

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                Author and article information

                Contributors
                oaleuy@ucalgary.ca
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                24 September 2020
                24 September 2020
                2020
                : 10
                : 15626
                Affiliations
                [1 ]GRID grid.22072.35, ISNI 0000 0004 1936 7697, Department of Biological Sciences, , University of Calgary, ; 3330 Hospital Drive, Health Science Centre 2559, Calgary, AB Canada
                [2 ]GRID grid.22072.35, ISNI 0000 0004 1936 7697, Department of Ecosystem and Public Health, Faculty of Veterinary Medicine, , University of Calgary, ; Calgary, Canada
                [3 ]GRID grid.7080.f, Wildlife Ecology and Health Group (WE&H) and Servei d’Ecopatologia de Fauna Salvatge (SEFaS), Departament de Medicina i Cirurgia Animals, , Universitat Autònoma de Barcelona, ; Bellaterra, Barcelona, Spain
                [4 ]GRID grid.7605.4, ISNI 0000 0001 2336 6580, Dipartimento di Scienze Veterinarie, , Universitá di Torino, ; Grugliasco, Turin, Italy
                [5 ]GRID grid.266832.b, ISNI 0000 0001 2188 8502, Museum of Southwestern Biology and Department of Biology, , University of New Mexico, ; Albuquerque, NM USA
                Article
                72376
                10.1038/s41598-020-72376-x
                7518422
                7743ce20-52e5-4736-989b-c64a794e0ae9
                © The Author(s) 2020

                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
                : 17 January 2020
                : 17 August 2020
                Funding
                Funded by: Killam pre-doctoral Scholarship Program
                Funded by: NSERC CREATE Host-Parasite Interaction Program
                Funded by: Spanish Ministerio de Economia y Competitividad (MINECO), Ramon y Cajal agreement
                Award ID: RYC-2016-21120
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000038, Natural Sciences and Engineering Research Council of Canada;
                Award ID: 316189-2012-RGPIN
                Award Recipient :
                Funded by: Beringian Coevolution Project (BCP), National Science Foundation
                Award ID: DEB 0196095
                Award ID: 0415668
                Award Recipient :
                Funded by: NSERC Discovery grant
                Funded by: NSERC Research Tools and Instruments
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                ecological epidemiology,population dynamics,theoretical ecology,sexual selection
                Uncategorized
                ecological epidemiology, population dynamics, theoretical ecology, sexual selection

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