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What a difference a day makes-female behaviour is less predictable near ovulation.
Kästner, Niklas; Richter, S Helene; Gamer, Matthias; Kaiser, Sylvia; Sachser, Norbert.
Afiliação
  • Kästner N; Department of Behavioural Biology, University of Münster, Münster, Germany.
  • Richter SH; Münster Graduate School of Evolution, University of Münster, Münster, Germany.
  • Gamer M; Department of Behavioural Biology, University of Münster, Münster, Germany.
  • Kaiser S; Experimental Clinical Psychology, University of Würzburg, Würzburg, Germany.
  • Sachser N; Department of Behavioural Biology, University of Münster, Münster, Germany.
R Soc Open Sci ; 4(4): 160998, 2017 Apr.
Article em En | MEDLINE | ID: mdl-28484619
ABSTRACT
'Animal personalities' have been shown to exist in many species. Yet, fluctuations in the stability of these inter-individual behavioural differences are not well understood. Against this background, we wondered whether behavioural consistency over time is affected by the reproductive cycle. Female mice were tested twice at an interval of eight weeks in four paradigms assessing social interest as well as anxiety-like behaviour and exploratory locomotion. Twenty-two individuals were tested repeatedly near ovulation, whereas another twenty-two were tested repeatedly in the non-receptive phase. While we found no major behavioural effects at the group level, the reproductive state indeed had profound effects on behavioural stability over time social interest as well as anxiety-like behaviour proved to be significantly less predictable near ovulation. It is generally believed that phenotypic plasticity is limited due to the costs it brings about. In this context, our data indicate that females accept higher costs in phases directly related to fitness maximization.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: R Soc Open Sci Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: R Soc Open Sci Ano de publicação: 2017 Tipo de documento: Article