Field dynamics of the root endosphere microbiome assembly in paddy rice cultivated under no fertilizer input

Plants accommodate diverse microbial communities, termed the microbiome, which can change dynamically during plant adaptation to varying environmental conditions. However, the direction of these changes and the underlying mechanisms driving them, particularly in crops adapting to the field conditions, are not well understood. Here, we investigate the root endosphere microbiome of rice (Oryza sativa ssp. japonica) across four consecutive cultivation seasons in a high-yield, non-fertilized, and pesticide-free paddy field, compared with a neighboring fertilized and pesticide-treated field. Using 16S rRNA amplicon and metagenome sequencing, we analyzed three Japonica cultivars-Nipponbare, Hinohikari, and Kinmaze. Our findings reveal that the root endosphere microbiomes diverge based on fertilization regime and plant developmental stages, while the effects of cultivar variation are less significant. Machine learning model and metagenomic analysis of nitrogenase (nif) genes suggest enhanced nitrogen fixation activity in the non-fertilized field-grown roots, highlighting a potential role of diazotrophic, iron-reducing bacteria Telmatospirillum. These results provide valuable insights into the assembly of the rice root microbiome in nutrient-poor soil, which can aid in managing microbial homeostasis for sustainable agriculture.

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Publication Details

Journal
Plant and Cell Physiology
Published
2025-05-21
DOI
https://doi.org/10.1093/pcp/pcaf045
Citations
2
Primary Topic
Legume Nitrogen Fixing Symbiosis
Type
article
Field-Weighted Citation Impact
3.50

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article

Field dynamics of the root endosphere microbiome assembly in paddy rice cultivated under no fertilizer input

Yuniar Devi Utami, Yusuke Saijo, Yuichi Hongoh, Shunsuke Imai et al.
2 citations
Plant and Cell Physiology
Legume Nitrogen Fixing Symbiosis
3.50
article

Field dynamics of the root endosphere microbiome assembly in paddy rice cultivated under no fertilizer input

Yuniar Devi Utami, Yusuke Saijo, Yuichi Hongoh, Shunsuke Imai, Asahi Adachi, Takehiro Kamiya, Toru Fujiwara, Shigehiko Kanaya, Takumi Murakami, Kiwamu Minamisawa, Naoaki Ono, Rina Shinjo, Sumire Kirita, M. FUJI, John Jewish Dominguez
article en
2 citations

Abstract

Plants accommodate diverse microbial communities, termed the microbiome, which can change dynamically during plant adaptation to varying environmental conditions. However, the direction of these changes and the underlying mechanisms driving them, particularly in crops adapting to the field conditions, are not well understood. Here, we investigate the root endosphere microbiome of rice (Oryza sativa ssp. japonica) across four consecutive cultivation seasons in a high-yield, non-fertilized, and pesticide-free paddy field, compared with a neighboring fertilized and pesticide-treated field. Using 16S rRNA amplicon and metagenome sequencing, we analyzed three Japonica cultivars-Nipponbare, Hinohikari, and Kinmaze. Our findings reveal that the root endosphere microbiomes diverge based on fertilization regime and plant developmental stages, while the effects of cultivar variation are less significant. Machine learning model and metagenomic analysis of nitrogenase (nif) genes suggest enhanced nitrogen fixation activity in the non-fertilized field-grown roots, highlighting a potential role of diazotrophic, iron-reducing bacteria Telmatospirillum. These results provide valuable insights into the assembly of the rice root microbiome in nutrient-poor soil, which can aid in managing microbial homeostasis for sustainable agriculture.

Plant and Cell PhysiologyVol. 66(7)
National Institute of Genetics (JP), Tokyo Institute of Technology (JP), Tohoku University (JP), Life Science Institute (JP), Nagoya University (JP), The University of Tokyo (JP), Nara Institute of Science and Technology (JP)
Ministry of Education, Culture, Sports, Science and Technology, Japan Science and Technology Agency
Zero hunger
Openalex Percentile: Top 8%
Legume Nitrogen Fixing Symbiosis
3.50
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