Genetic design of soybean hosts and bradyrhizobial endosymbionts reduces N2O emissions from soybean rhizosphere

Soybeans fix atmospheric N<sub>2</sub> through symbiosis with rhizobia. The relationship between rhizobia and soybeans, particularly those with high nitrous oxide (N<sub>2</sub>O)-reducing (N<sub>2</sub>OR) activities, can be leveraged to reduce N<sub>2</sub>O emissions from agricultural soils. However, inoculating soybeans with these rhizobia under field conditions often fails because of the competition from indigenous rhizobia that possess low or no N<sub>2</sub>OR activity. In this work, we utilize natural incompatibility systems between soybean and rhizobia to address this challenge. Specifically, Rj2 and GmNNL1 inhibit certain rhizobial infections in response to NopP, an effector protein. By combining a soybean line with a hybrid accumulation of the Rj2 and GmNNL1 genes and bradyrhizobia lacking the nopP gene, we develop a soybean-bradyrhizobial symbiosis system in which strains with high N<sub>2</sub>OR activity predominantly infect. Our optimize symbiotic system substantially reduces N<sub>2</sub>O emissions in field and laboratory tests, presenting a promising approach for sustainable agricultural practices.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-09-04
DOI
https://doi.org/10.1038/s41467-025-63223-6
Citations
6
Primary Topic
Legume Nitrogen Fixing Symbiosis
Type
article
Field-Weighted Citation Impact
10.50

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic design of soybean hosts and bradyrhizobial endosymbionts reduces N2O emissions from soybean rhizosphere

Koji Takahashi, Masayuki Sugawara, Khin Thuzar Win, Hanna Nishida et al.
6 citations
Nature Communications
Legume Nitrogen Fixing Symbiosis
10.50
article

Genetic design of soybean hosts and bradyrhizobial endosymbionts reduces N2O emissions from soybean rhizosphere

Koji Takahashi, Masayuki Sugawara, Khin Thuzar Win, Hanna Nishida, Kaori Kakizaki, Luong Van Duc, Yoshikazu Shimoda, Matthew Shenton, Hiroko Akiyama, Haruko Imaizumi‐Anraku, Atsuo Suzuki, Sachiko Masuda, Arisa Shibata, Kiwamu Minamisawa, Yukiko Fujisawa, Satoshi Ohkubo, Ken Shirasu, Feng Li, Manabu Itakura, Misa Tsubokura
article en
6 citations

Abstract

Soybeans fix atmospheric N<sub>2</sub> through symbiosis with rhizobia. The relationship between rhizobia and soybeans, particularly those with high nitrous oxide (N<sub>2</sub>O)-reducing (N<sub>2</sub>OR) activities, can be leveraged to reduce N<sub>2</sub>O emissions from agricultural soils. However, inoculating soybeans with these rhizobia under field conditions often fails because of the competition from indigenous rhizobia that possess low or no N<sub>2</sub>OR activity. In this work, we utilize natural incompatibility systems between soybean and rhizobia to address this challenge. Specifically, Rj2 and GmNNL1 inhibit certain rhizobial infections in response to NopP, an effector protein. By combining a soybean line with a hybrid accumulation of the Rj2 and GmNNL1 genes and bradyrhizobia lacking the nopP gene, we develop a soybean-bradyrhizobial symbiosis system in which strains with high N<sub>2</sub>OR activity predominantly infect. Our optimize symbiotic system substantially reduces N<sub>2</sub>O emissions in field and laboratory tests, presenting a promising approach for sustainable agricultural practices.

Nature CommunicationsVol. 16(1)
National Agriculture and Food Research Organization (JP), Tohoku University (JP), Institute of Agrobiological Sciences (JP), RIKEN Center for Sustainable Resource Science (JP), Obihiro University of Agriculture and Veterinary Medicine (JP)
New Energy and Industrial Technology Development Organization, Henan University
Openalex Percentile: Top 2%
Legume Nitrogen Fixing Symbiosis
10.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.