Population density and temperature influence the return on maternal investment in wild house mice

Author:

Auclair Yannick,Gerber NinaORCID,König Barbara,Lindholm Anna K.

Abstract

AbstractIn mammals, reproduction is influenced by competitive stress, temperature and food availability and these factors might be crucial already during early life. Favourable early life environment and high maternal investment are expected to improve survival and reproduction. In mammals, maternal investment via lactation predicts offspring growth. As body mass is often associated with fitness consequences, females have the potential to influence offspring fitness through their level of investment, which might interact with effects of population density and temperature. Here, we investigate the relationship between pup body mass at day 13 (used as approximation for weaning mass) and individual reproductive parameters as well as longevity under natural variation in population density and temperatures. Further, we assess the extent to which mothers influence the body mass of their offspring until weaning. We analysed life data of 384 house mice (Mus musculus domesticus) from a free-living wild population that was not food limited. We found a complex effect of population density, temperature and maternal investment on life-history traits related to fitness: Shorter longevity with increasing pup body mass at day 13; delayed reproduction of heavier pups when raised at warmer temperatures; and increased lifetime reproductive success for heavier pups at high densities. House mice could use population density and temperature as cues for predicting future environmental conditions, allowing a mother to adjust her investment according to the environment in which offspring will breed in order to maximise fitness. This study highlights the importance of considering ecological conditions in combination with maternal effects.

Publisher

Cold Spring Harbor Laboratory

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3