微生物群
农业生态系统
资源(消歧)
计算机科学
生态系统
生态学
农业
环境资源管理
生物
数据科学
环境科学
生物信息学
计算机网络
作者
Hirokazu Toju,Kabir Peay,Masato Yamamichi,Kazuhiko Narisawa,Kei Hiruma,Ken Naito,Shinji Fukuda,Masayuki Ushio,Shinji Nakaoka,Yusuke Onoda,Kentaro Yoshida,Klaus Schlaeppi,Yang Bai,Ryo Sugiura,Yasunori Ichihashi,Kiwamu Minamisawa,E. Toby Kiers
出处
期刊:Nature plants
[Nature Portfolio]
日期:2018-04-24
卷期号:4 (5): 247-257
被引量:770
标识
DOI:10.1038/s41477-018-0139-4
摘要
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.
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