Core microbiomes for sustainable agroecosystems

Hirokazu Toju*, Kabir G. 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

*Corresponding author for this work

    Research output: Contribution to JournalReview articleAcademicpeer-review

    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 languageEnglish
    Pages (from-to)247-257
    Number of pages11
    JournalNature Plants
    Volume4
    Issue number5
    Early online date30 Apr 2018
    DOIs
    Publication statusPublished - 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.

    FundersFunder number
    Government of JapanGS014
    U.S. Department of EnergyDE-SC0016097
    European Research Council335542
    Japan Society for the Promotion of Science16H04846, 16K18618, 26711026
    Precursory Research for Embryonic Science and TechnologyJPMJPR16Q6

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