| Literature DB >> 29725101 |
Hirokazu Toju1,2, Kabir G Peay3, Masato Yamamichi4, Kazuhiko Narisawa5, Kei Hiruma6,7, Ken Naito8, Shinji Fukuda6,9,10,11, Masayuki Ushio12,6, Shinji Nakaoka6,13, Yusuke Onoda14, Kentaro Yoshida6,15, Klaus Schlaeppi16,17, Yang Bai18,19, Ryo Sugiura6,20, Yasunori Ichihashi6,21,22, Kiwamu Minamisawa23, E Toby Kiers24.
Abstract
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.Mesh:
Year: 2018 PMID: 29725101 DOI: 10.1038/s41477-018-0139-4
Source DB: PubMed Journal: Nat Plants ISSN: 2055-0278 Impact factor: 15.793