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Core microbiomes for sustainable agroecosystems.

Hirokazu TojuGabriel Reuben SmithMasato YamamichiKazuhiko NarisawaKei HirumaKen NaitoShinji FukudaMasayuki UshioShinji NakaokaYusuke OnodaKentaro YoshidaKlaus SchlaeppiYang BaiRyo SugiuraYasunori IchihashiKiwamu MinamisawaE Toby Kiers
Published in: Nature plants (2019)
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.
Keyphrases
  • climate change
  • machine learning
  • human health
  • microbial community
  • patient safety
  • deep learning
  • risk assessment
  • electronic health record