Center for Ecological Research, Kyoto University, Otsu, Shiga, Japan.
PRESTO, Japan Science and Technology Agency, Kawaguchi, Saitama, Japan.
Nat Plants. 2018 May;4(5):247-257. doi: 10.1038/s41477-018-0139-4.
In an era of ecosystem degradation and climate change, maximizing microbial functions in agroecosystems has become a prerequisite for the future of global agriculture. However, managing species-rich communities of plant-associated microbiomes remains a major challenge. Here, we propose interdisciplinary research strategies to optimize microbiome functions in agroecosystems. Informatics now allows us to identify members and characteristics of 'core microbiomes', which may be deployed to organize otherwise uncontrollable dynamics of resident microbiomes. Integration of microfluidics, robotics and machine learning provides novel ways to capitalize on core microbiomes for increasing resource-efficiency and stress-resistance of agroecosystems.
在生态系统退化和气候变化的时代,最大限度地发挥农业生态系统中微生物的功能已成为全球农业未来的前提。然而,管理与植物相关的微生物组的物种丰富群落仍然是一个主要挑战。在这里,我们提出了优化农业生态系统中微生物组功能的跨学科研究策略。如今,信息学使我们能够识别“核心微生物组”的成员和特征,这些特征可能被用来组织常驻微生物组不可控的动态。微流控、机器人技术和机器学习的整合为利用核心微生物组提供了新的途径,以提高农业生态系统的资源效率和抗应激能力。