Social drivers of extra-pair paternity
外对亲子关系的社会驱动因素
基本信息
- 批准号:396302243
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:2018
- 资助国家:德国
- 起止时间:2017-12-31 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Variation in the expression of extra-pair paternity (EPP) among individuals of the same population could result from stochastic demography or from individual differences in mating strategies. Although the adaptive value of EPP has been widely studied, little is yet known about the characteristics of the social environment that drive the observed patterns of EPP. I propose to investigate the characteristics of the social environment in which individuals are embedded that influence the levels of EPP in a population. I hypothesise that social attributes such as degree of connection among individuals and the strength of social bonds can explain the variation in the patterns of extra-pair copulations (EPCs) and EPP, and that the sociality of individuals is influenced by genetic mechanisms. I propose to use two selection lines of domestic zebra finches (with low and high EPP levels), along with a recently wild-derived line (very low EPP) to characterize and compare the social behaviour and patterns of EPP, in replicated experiments, over the course of three years. First, I will use state-of the-art tracking technologies in combination with social network analyses to quantify the directionality of the social interactions and the social structure of the groups at three levels: individual (e.g. degree), dyad (e.g. strength) and group (e.g. phenotypic group composition); and I will use parentage analysis to determine the genetic mating patterns. Then, I will use linear mixed models to determine the relationship between social attributes and levels of EPP and EPCs and animal models to quantify the heritability of social traits. By understanding the interplay between the social environment and the mating systems I will contribute to the explanation of the proximate mechanisms that drive variation in EPP within populations, and ultimately to understand the evolution and maintenance of mating systems.
同一种群中个体间的额外对父权(EPP)表达的变化可能是由于随机人口统计学或交配策略的个体差异。虽然EPP的适应价值已经得到了广泛的研究,但很少有人知道驱动观察到的EPP模式的社会环境的特征。我建议调查的特点,个人嵌入的影响EPP在人口中的水平的社会环境。我假设,社会属性,如个人之间的连接程度和社会债券的强度可以解释的变化模式的额外对交配(EPCs)和EPP,和个人的社会性是受遗传机制。我建议使用两个选择线的国内斑胸草雀(低和高EPP水平),沿着最近野生衍生线(非常低的EPP)的特点和比较的社会行为和模式的EPP,在重复实验中,在三年的过程中。首先,我将使用最先进的跟踪技术结合社会网络分析,在三个层面上量化社会互动的方向性和群体的社会结构:个体(例如程度),二元体(例如强度)和群体(例如表型群体组成);我将使用亲子关系分析来确定遗传交配模式。然后,我将使用线性混合模型来确定社会属性与EPP和EPCs水平之间的关系,并使用动物模型来量化社会特征的遗传度。通过了解社会环境和交配系统之间的相互作用,我将有助于解释驱动EPP在人群中的变化的近似机制,并最终了解交配系统的进化和维护。
项目成果
期刊论文数量(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Drivers of alloparental provisioning of fledglings in a colonially breeding bird
- DOI:10.1093/beheco/araa137
- 发表时间:2021-03
- 期刊:
- 影响因子:2.4
- 作者:Mina Ogino;A. Maldonado‐Chaparro;D. Farine
- 通讯作者:Mina Ogino;A. Maldonado‐Chaparro;D. Farine
Deep learning-based methods for individual recognition in small birds
- DOI:10.1111/2041-210x.13436
- 发表时间:2020-07-26
- 期刊:
- 影响因子:6.6
- 作者:Ferreira, Andre C.;Silva, Liliana R.;Doutrelant, Claire
- 通讯作者:Doutrelant, Claire
Demographic processes in animal networks are a question of time: a comment on Shizuka and Johnson
动物网络中的人口统计过程是一个时间问题:对 Shizuka 和 Johnson 的评论
- DOI:10.1093/beheco/arz099
- 发表时间:2020
- 期刊:
- 影响因子:2.4
- 作者:Maldonado-Chaparro;Farine
- 通讯作者:Farine
Season-specific carryover of early life associations in a monogamous bird species
一夫一妻制鸟类早期生命关联的季节特定遗留
- DOI:10.1016/j.anbehav.2020.03.016
- 发表时间:2020
- 期刊:
- 影响因子:2.5
- 作者:Kurvers;Farine;Jongeling;Snijders
- 通讯作者:Snijders
Relationship quality underpins pair bond formation and subsequent reproductive performance
关系质量支撑配对关系的形成和随后的繁殖表现
- DOI:10.1016/j.anbehav.2021.09.009
- 发表时间:2021
- 期刊:
- 影响因子:2.5
- 作者:Maldonado-Chaparro;Forstmeier;Farine
- 通讯作者:Farine
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Dr. Damien Farine其他文献
Dr. Damien Farine的其他文献
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{{ truncateString('Dr. Damien Farine', 18)}}的其他基金
The role of interaction structure in eco-evolutionary dynamics (EcoEvoInteract)
相互作用结构在生态进化动力学中的作用(EcoEvoInteract)
- 批准号:
386361673 - 财政年份:2017
- 资助金额:
-- - 项目类别:
Scientific Networks
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