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.
Original language | English |
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Pages (from-to) | 247-257 |
Number of pages | 11 |
Journal | Nature Plants |
Volume | 4 |
Issue number | 5 |
Early online date | 30 Apr 2018 |
DOIs | |
Publication status | Published - May 2018 |
Funding
We thank Takashi Akagi and three anonymous reviewers for their insightful comments on the manuscript. This work was financially supported by JSPS KAKENHI Grant (26711026), JST PRESTO (JPMJPR16Q6), and the Funding Program for Next Generation World-Leading Researchers of Cabinet Office, the Government of Japan (GS014) to H.T, DOE Award DE-SC0016097 to KGP, and by a European Research Council Grant (335542) to E.T.K.
Funders | Funder number |
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Government of Japan | GS014 |
U.S. Department of Energy | DE-SC0016097 |
European Research Council | 335542 |
Japan Society for the Promotion of Science | 16H04846, 16K18618, 26711026 |
Precursory Research for Embryonic Science and Technology | JPMJPR16Q6 |