Consequences of combining sex-specific traits

被引:2
|
作者
Revathi Venkateswaran, Vandana [1 ]
Roth, Olivia [2 ]
Gokhale, Chaitanya S. [1 ]
机构
[1] Max Planck Inst Evolutionary Biol, Dept Evolutionary Theory, August Thienemann Str 2, D-24306 Plon, Germany
[2] GEOMAR Helmholtz Ctr Ocean Res, Dusternbrookerweg 20, D-24105 Kiel, Germany
基金
欧洲研究理事会;
关键词
Adult sex ratio; evolutionary game theory; life‐ history traits; lifetime reproductive success; population dynamics; sexual traits; MAJOR HISTOCOMPATIBILITY COMPLEX; PARENTAL CARE; REPRODUCTIVE SUCCESS; EVOLUTIONARY DYNAMICS; BATEMANS PRINCIPLE; IMMUNE-SYSTEM; SELECTION; INVESTMENT; DIMORPHISM; LIFETIME;
D O I
10.1111/evo.14204
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Males and females follow distinct life-history strategies that have co-evolved with several sex-specific traits. Higher investment into parental investment (PI) demands an increased lifespan. Thus, resource allocation toward an efficient immune system is mandatory. In contrast, resources allocated toward secondary sexual signals (ornamentation) may negatively correlate with investment into immunity and ultimately result in a shorter lifespan. Previous studies have addressed how resource allocation toward single sex-specific traits impacts lifetime reproductive success (LRS). However, the trade-offs between diverse sex-specific characteristics and their impact on LRS remain largely unassessed impeding our understanding of life-history evolution. We have designed a theoretical framework (informed by experimental data and evolutionary genetics) that explores the effects of multiple sex-specific traits and assessed how they influence LRS. From the individual sex-specific traits, we inferred the consequences at the population level by evaluating adult sex ratios (ASR). Our theory implies that sex-specific resource allocation toward the assessed traits resulted in a biased ASR. Our model focuses on the impact of PI, ornamentation, and immunity as causal to biased ASR. The framework developed herein can be employed to understand the combined impact of diverse sex-specific traits on the LRS and the eventual population dynamics of particular model systems.
引用
收藏
页码:1274 / 1287
页数:14
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