Journal article
Core microbiomes for sustainable agroecosystems.
- Toju H Center for Ecological Research, Kyoto University, Otsu, Shiga, Japan. toju.hirokazu.4c@kyoto-u.ac.jp.
- Peay KG Department of Biology, Stanford University, Stanford, CA, USA.
- Yamamichi M Department of General Systems Studies, University of Tokyo, Meguro, Tokyo, Japan.
- Narisawa K Department of Bioresource Science, College of Agriculture, Ibaraki University, Ami, Ibaraki, Japan.
- Hiruma K PRESTO, Japan Science and Technology Agency, Kawaguchi, Saitama, Japan.
- Naito K Genetic Resource Center, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, Japan.
- Fukuda S PRESTO, Japan Science and Technology Agency, Kawaguchi, Saitama, Japan.
- Ushio M Center for Ecological Research, Kyoto University, Otsu, Shiga, Japan.
- Nakaoka S PRESTO, Japan Science and Technology Agency, Kawaguchi, Saitama, Japan.
- Onoda Y Graduate School of Agriculture, Kyoto University, Kyoto, Japan.
- Yoshida K PRESTO, Japan Science and Technology Agency, Kawaguchi, Saitama, Japan.
- Schlaeppi K Institute of Plant Sciences, University of Bern, Bern, Switzerland.
- Bai Y State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Science, Beijing, China.
- Sugiura R PRESTO, Japan Science and Technology Agency, Kawaguchi, Saitama, Japan.
- Ichihashi Y PRESTO, Japan Science and Technology Agency, Kawaguchi, Saitama, Japan.
- Minamisawa K Graduate School of Life Sciences, Tohoku University, Katahira, Sendai, Japan.
- Kiers ET Department of Ecological Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
- 2018-05-05
Published in:
- Nature plants. - 2018
English
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.
- Language
-
- English
- Open access status
- closed
- Identifiers
-
- DOI 10.1038/s41477-018-0139-4
- PMID 29725101
- Persistent URL
- https://folia.unifr.ch/global/documents/167544
Statistics
Document views: 92
File downloads: