Comparative Plant and Fungal Biology, Royal Botanic Gardens, Kew; Wellcome Trust Millennium Building, Wakehurst Place, Ardingly, West Sussex, RH17 6TN, U.K.
Departamento de Biología de Organismos y Sistemas, Universidad de Oviedo; C/ Catedrático Rodrigo Uría, 33006, Oviedo/Uviéu, Spain.
Biol Rev Camb Philos Soc. 2019 Apr;94(2):439-456. doi: 10.1111/brv.12461. Epub 2018 Sep 6.
Plant persistence and migration in face of climate change depends on successful reproduction by seed, a central aspect of plant life that drives population dynamics, community assembly and species distributions. Plant reproduction by seed is a chain of physiological processes, the rates of which are a function of temperature, and can be modelled using thermal time models. Importantly, while seed reproduction responds to its instantaneous thermal environment, there is also evidence of phenotypic plasticity in response to the thermal history experienced by the plant's recent ancestors, by the reproducing plant since seedling establishment, and by its seeds both before and after their release. This phenotypic plasticity enables a thermal memory of plant reproduction, which allows individuals to acclimatise to their surroundings. This review synthesises current knowledge on the thermal memory of plant reproduction by seed, and highlights its importance for modelling approaches based on physiological thermal time. We performed a comprehensive search in the Web of Science and analysed 533 relevant articles, of which 81 provided material for a meta-analysis of thermal memory in reproductive functional traits based on the effect size Zr. The articles encompassed the topics of seed development, seed yield (mass and number), seed dormancy (physiological, morphological and physical), germination, and seedling establishment. The results of the meta-analysis provide evidence for a thermal memory of seed yield, physiological dormancy and germination. Seed mass and physiological dormancy appear to be the central hubs of this memory. We argue for integrating thermal memory into a predictive framework based on physiological time modelling. This will provide a quantitative assessment of plant reproduction, a complex system that integrates past and present thermal inputs to achieve successful reproduction in changing environments. The effects of a warming environment on plant reproduction cannot be reduced to a qualitative interpretation of absolute positives and negatives. Rather, these effects need to be understood in terms of changing rates and thresholds for the physiological process that underlie reproduction by seed.
植物在气候变化面前的生存和迁移取决于种子的成功繁殖,这是植物生命的一个核心方面,它驱动着种群动态、群落组装和物种分布。植物通过种子进行繁殖是一系列生理过程的链条,其速率是温度的函数,可以使用热时间模型进行建模。重要的是,虽然种子繁殖对其瞬时热环境有反应,但也有证据表明,植物最近祖先的热历史、植物自幼苗建立以来的表型可塑性以及其种子在释放前后的表型可塑性对其有反应。这种表型可塑性使植物繁殖具有热记忆能力,使个体能够适应周围环境。这篇综述综合了目前关于种子繁殖的热记忆的知识,并强调了其对基于生理热时间的建模方法的重要性。我们在 Web of Science 中进行了全面搜索,并分析了 533 篇相关文章,其中 81 篇文章提供了基于效应大小 Zr 的生殖功能性状热记忆的荟萃分析材料。这些文章涵盖了种子发育、种子产量(质量和数量)、种子休眠(生理、形态和物理)、萌发和幼苗建立等主题。荟萃分析的结果为种子产量、生理休眠和萌发的热记忆提供了证据。种子质量和生理休眠似乎是这种记忆的核心枢纽。我们主张将热记忆纳入基于生理时间建模的预测框架。这将为植物繁殖提供定量评估,植物繁殖是一个复杂的系统,它整合了过去和现在的热输入,以在不断变化的环境中实现成功繁殖。不能将变暖环境对植物繁殖的影响简化为对绝对正负的定性解释。相反,需要根据构成种子繁殖基础的生理过程的变化速率和阈值来理解这些影响。