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      Sex-biased phenotypic plasticity affects sexual dimorphism patterns under changing environmental conditions

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          Abstract

          Sexual dimorphism is almost ubiquitous in animals. A common pattern observed across multiple taxa involves differences in development time (sexual bimaturism) and body size (sexual size dimorphism) between conspecific males and females. Furthermore, a strict association of dimorphism at these traits has been documented in several taxa, where the sex showing shorter development time also has a smaller body size than the other sex. Growth and development are strongly dependent on environmental conditions during individual life-cycle in ectotherms, inducing considerable phenotypic plasticity. However, how phenotypic plasticity affects the association between sexual dimorphism in development time and body size remains unclear. Here, we tracked development time, body size, and body mass throughout the ontogeny of the mosquito Aedes mariae. The larval development of this species is strictly linked to Mediterranean Sea rock-pools, whose highly variable environmental conditions over minimal time frames make this organism-environment system ideal for exploring plasticity-led eco-evolutionary processes. We found differential plasticity between males and females, dissolving the link between dimorphism in development time and body size under increasing temperature and decreasing salinity conditions. These findings contrast with the current hypotheses proposed to explain the origin of the association between sexual bimaturism and sexual size dimorphism, highlighting the condition dependence of sexual dimorphism patterns and the need to consider phenotypic plasticity in future studies on their evolution.

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          Simultaneous inference in general parametric models.

          Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting erroneously at least one of them increases beyond the pre-specified significance level. Simultaneous inference procedures have to be used which adjust for multiplicity and thus control the overall type I error rate. In this paper we describe simultaneous inference procedures in general parametric models, where the experimental questions are specified through a linear combination of elemental model parameters. The framework described here is quite general and extends the canonical theory of multiple comparison procedures in ANOVA models to linear regression problems, generalized linear models, linear mixed effects models, the Cox model, robust linear models, etc. Several examples using a variety of different statistical models illustrate the breadth of the results. For the analyses we use the R add-on package multcomp, which provides a convenient interface to the general approach adopted here. Copyright 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
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            Thermal Adaptation

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              Intraspecific Variation in Body Size and Fecundity in Insects: A General Relationship

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                Author and article information

                Contributors
                daniele.porretta@uniroma1.it
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                9 January 2024
                9 January 2024
                2024
                : 14
                : 892
                Affiliations
                [1 ]Department of Environmental Biology, Sapienza University of Rome, ( https://ror.org/02be6w209) Via Dei Sardi 70, Rome, Italy
                [2 ]Department of Biology and Ecology, Tuscia University, Largo Dell’Università S.N.C., ( https://ror.org/03svwq685) Viterbo, Italy
                Article
                51204
                10.1038/s41598-024-51204-6
                10776787
                38195624
                5fd4cb5e-e4e9-4f30-8510-e453d5883d33
                © The Author(s) 2024

                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 October 2023
                : 2 January 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003407, Ministero dell’Istruzione, dell’Università e della Ricerca;
                Award ID: PRIN project: 2017KLZ3MA
                Award ID: PRIN project: 2017KLZ3MA
                Award ID: PRIN project: 2017KLZ3MA
                Award Recipient :
                Funded by: European Union
                Award ID: CN_00000033
                Award ID: PE00000007, INF-ACT
                Award Recipient :
                Categories
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                © Springer Nature Limited 2024

                Uncategorized
                evolutionary ecology,entomology
                Uncategorized
                evolutionary ecology, entomology

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