Abstract

Many plants associate with endophytic microbes that improve root phosphorus (P) uptake. Understanding the interactions between roots and endophytes can enable efforts to improve P utilization. Here, we characterize the interactions between lateral roots of endophytes in a core collection of 50 rapeseed (Brassica napus L.) genotypes with differing sensitivities to low P conditions. With the correlation analysis result between bacterial abundance and plant physiological indices of rapeseeds, and inoculation experiments on plates and soil, we identify one Flavobacterium strain (C2) that significantly alleviates the P deficiency phenotype of rapeseeds. The underlying mechanisms are explored by performing the weighted gene coexpression network analysis (WGCNA), and conducting genome-wide association studies (GWAS) using Flavobacterium abundance as a quantitative trait. Under P-limited conditions, C2 regulates fatty acid and lipid metabolic pathways. For example, C2 improves metabolism of linoleic acid, which mediates root suberin biosynthesis, and enhances P uptake efficiency. In addition, C2 suppresses root jasmonic acid biosynthesis, which depends on α-linolenic acid metabolism, improving C2 colonization and activating P uptake. This study demonstrates that adjusting the endophyte composition can modulate P uptake in B. napus plants, providing a basis for developing agricultural microbial agents.

Based on the correlation analysis of various omics data from Brassica napus L., authors identify one Flavobacterium strain C2 which mitigates P deficiency by regulating fatty acid metabolism and enhancing P uptake, indicating potential strategies to improve P utilization in rapeseeds.

Details

Title
Multiomics dissection of Brassica napus L. lateral roots and endophytes interactions under phosphorus starvation
Author
Liu, Can 1 ; Bai, Zhen 2 ; Luo, Yu 1 ; Zhang, Yanfeng 3 ; Wang, Yongfeng 4 ; Liu, Hexin 1 ; Luo, Meng 5 ; Huang, Xiaofang 6   VIAFID ORCID Logo  ; Chen, Anle 1 ; Ma, Lige 1 ; Chen, Chen 2 ; Yuan, Jinwei 2 ; Xu, Ying 7 ; Zhu, Yantao 3 ; Mu, Jianxin 3 ; An, Ran 3 ; Yang, Cuiling 4 ; Chen, Hao 4 ; Chen, Jiajie 8 ; Li, Zaifang 8 ; Li, Xiaodan 9 ; Dong, Yachen 9 ; Zhao, Jianhua 9 ; Shen, Xingxing 10   VIAFID ORCID Logo  ; Jiang, Lixi 7   VIAFID ORCID Logo  ; Feng, Xianzhong 8   VIAFID ORCID Logo  ; Yu, Peng 11   VIAFID ORCID Logo  ; Wang, Daojie 4   VIAFID ORCID Logo  ; Chen, Xinping 1   VIAFID ORCID Logo  ; Li, Nannan 12   VIAFID ORCID Logo 

 Southwest University, College of Resources and Environment, and Academy of Agricultural Sciences, Chongqing, China (GRID:grid.263906.8) (ISNI:0000 0001 0362 4044); Southwest University, Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin, Chongqing, China (GRID:grid.263906.8) (ISNI:0000 0001 0362 4044) 
 Southwest University, College of Resources and Environment, and Academy of Agricultural Sciences, Chongqing, China (GRID:grid.263906.8) (ISNI:0000 0001 0362 4044) 
 Hybrid Rapeseed Research Center of Shaanxi Province, Yangling, China (GRID:grid.511724.4) (ISNI:0000 0004 4686 9019) 
 Henan University, College of Agriculture, State Key Laboratory of Crop Stress Adaptation and Improvement, Kaifeng, China (GRID:grid.256922.8) (ISNI:0000 0000 9139 560X) 
 Shanghai Majorbio Research Institute, Shanghai, PR China (GRID:grid.263906.8) 
 University of Bonn, Crop Functional Genomics, Institute of Crop Science and Resource Conservation, Bonn, Germany (GRID:grid.10388.32) (ISNI:0000 0001 2240 3300) 
 Zhejiang University, Institute of Crop Science, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X) 
 Zhejiang Lab, Research Center for Intelligent Computing Platforms, Hangzhou, China (GRID:grid.510538.a) (ISNI:0000 0004 8156 0818) 
 Shanghai Majorbio Research Institute, Shanghai, PR China (GRID:grid.510538.a) 
10  Zhejiang University, Institute of Crop Science, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X); Zhejiang Lab, Research Center for Intelligent Computing Platforms, Hangzhou, China (GRID:grid.510538.a) (ISNI:0000 0004 8156 0818) 
11  University of Bonn, Crop Functional Genomics, Institute of Crop Science and Resource Conservation, Bonn, Germany (GRID:grid.10388.32) (ISNI:0000 0001 2240 3300); Technical University of Munich, Plant Genetics, School of Life Sciences, Freising, Germany (GRID:grid.6936.a) (ISNI:0000 0001 2322 2966) 
12  Southwest University, College of Resources and Environment, and Academy of Agricultural Sciences, Chongqing, China (GRID:grid.263906.8) (ISNI:0000 0001 0362 4044); Southwest University, Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin, Chongqing, China (GRID:grid.263906.8) (ISNI:0000 0001 0362 4044); Zhejiang Lab, Research Center for Intelligent Computing Platforms, Hangzhou, China (GRID:grid.510538.a) (ISNI:0000 0004 8156 0818); Yazhouwan National Laboratory, Sanya, China (GRID:grid.510538.a) 
Pages
9732
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3126595547
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.