Department of Ecology and Evolutionary, Princeton University, Princeton, New Jersey, USA
Department of Ecology and Evolutionary, Princeton University, Princeton, New Jersey, USA.
mBio. 2019 Oct 8;10(5):e01496-19. doi: 10.1128/mBio.01496-19.
The timing of life history events has important fitness consequences. Since the 1950s, researchers have combined first principles and data to predict the optimal timing of life history transitions. Recently, a striking mystery has emerged. Such transitions can be shaped by a completely different branch of the tree of life: species in the microbiome. Probing these interactions using testable predictions from evolutionary theory could illuminate whether and how host-microbiome integrated life histories can evolve and be maintained. Beyond advancing fundamental science, this research program could yield important applications. In an age of microbiome engineering, understanding the contexts that lead to microbiota signaling shaping ontogeny could offer novel mechanisms for manipulations to increase yield in agriculture by manipulating plant responses to stressful environments, or to reduce pathogen transmission by affecting vector efficiency. We combine theory and evidence to illuminate the essential questions underlying the existence of crobiome-ependent ntogenetic iming (MiDOT) to fuel research on this emerging topic.
生命史事件的时间安排具有重要的适应意义。自 20 世纪 50 年代以来,研究人员已经将第一性原理和数据相结合,以预测生命史转变的最佳时间。最近,出现了一个惊人的谜团。这些转变可能受到生命之树中完全不同分支的影响:微生物组中的物种。利用进化理论的可测试预测来探究这些相互作用,可以阐明宿主-微生物组综合生命史是否以及如何进化和维持。除了推进基础科学之外,这个研究项目还可能产生重要的应用。在微生物组工程时代,了解导致微生物群信号塑造个体发育的背景,可以为操纵提供新的机制,例如通过操纵植物对胁迫环境的反应来增加农业产量,或者通过影响媒介效率来减少病原体传播。我们结合理论和证据来阐明存在微生物组依赖的个体发育定时(MiDOT)的基本问题,为这个新兴主题的研究提供动力。