Strigolactones shape the rhizomicrobiome in rice (Oryza sativa)

Fahad Nasir; Shaohua Shi; Lei Tian; Chunling Chang; Lina Ma; Xiujun Li; Yingzhi Gao; Chunjie Tian

doi:10.1016/j.plantsci.2019.05.016

Strigolactones shape the rhizomicrobiome in rice (Oryza sativa)

Plant Sci. 2019 Sep:286:118-133. doi: 10.1016/j.plantsci.2019.05.016. Epub 2019 Jun 4.

Authors

Fahad Nasir¹, Shaohua Shi², Lei Tian², Chunling Chang², Lina Ma², Xiujun Li², Yingzhi Gao³, Chunjie Tian⁴

Affiliations

¹ Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin Province, China; Key Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Science, Northeast Normal University, Changchun 130024, Jilin Province, China.
² Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin Province, China.
³ Key Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Science, Northeast Normal University, Changchun 130024, Jilin Province, China. Electronic address: gaoyz108@nenu.edu.cn.
⁴ Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, Jilin Province, China. Electronic address: tiancj@neigae.ac.cn.

PMID: 31300137
DOI: 10.1016/j.plantsci.2019.05.016

Abstract

The rhizomicrobiome helps the host plant to better adapt to environmental stresses. In contrast, plant-derived metabolic substances, including phytohormones, play an active role in structuring rhizomicrobiome. Although strigolactones (SLs), a group of phytohormones, serve as potential rhizosphere signaling molecules, their contributions in shaping the rice (Oryza sativa) rhizomicrobiome remain elusive. To address this issue, we compared the rhizomicrobiome of rice mutants defective in either SL biosynthesis or signaling and wild-type (WT) plants. To understand whether SL-regulated metabolic pathways shape the rhizomicrobiome, a correlation network analysis was conducted among the metabolic pathway-related genes and the rhizomicrobiome of rice. Compared to WT, higher bacterial richness (evidenced by the operational taxonomic unit richness) and lower fungal diversity (evidenced by the Shannon index) were observed in both SL deficient dwarf17 (d17) and signaling (d14) mutants. Additionally, remarkable differences were observed in the composition of a large number of bacterial communities than the fungal communities in the d17 and d14 mutants with respect to the WT. The abundance of certain beneficial bacterial taxa, including Nitrosomonadaceae and Rhodanobacter, were significantly decreased in both mutants relative to the WT. Correlation network analysis between SL-regulated metabolic pathway-associated genes and rhizomicrobiome proposed a role for SL-dependent metabolic pathways in shaping rhizomicrobiome composition. Taken together, our study suggests that SL biosynthesis and signaling play a key role in determining the rice rhizomicrobiome, directly or indirectly, through the mediation of distinct metabolic pathways. Based on our findings, the genetic modulation of rice SL biosynthesis and/or signaling pathways may help to recruit/increase the abundance of the desired rhizomicrobiome, which may assist in the stress resilience of rice.

Keywords: Metabolic pathways; Oryza sativa; RNA-sequencing; Rhizomicrobiome; Strigolactones.

MeSH terms

Lactones / metabolism*
Microbiota*
Oryza / metabolism*
Rhizome / microbiology*
Signal Transduction

Substances

Lactones