Integrated Transcriptome and Metabolome Analysis Reveals Molecular Mechanisms Underlying Resistance to Phytophthora Root Rot

Author:

Sun Ruidong1,Han Anan1,Wang Haitang1,Wang Congcong1,Lu Yang1,Ni Danqing1,Guo Na1,Xing Han1,Zhao Jinming1

Affiliation:

1. Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, Zhongshan Biological Breeding Laboratory, National Innovation Platform for Soybean Bio-Breeding Industry and Education Integration, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China

Abstract

Soybean production is significantly impacted by Phytophthora root rot (PRR), which is caused by Phytophthora sojae. The nucleotide-binding leucine-rich repeat (NLR) gene family plays a crucial role in plant disease resistance. However, current understanding of the function of soybean NLR genes in resistance to PRR is limited. To address this knowledge gap, transgenic soybean plants overexpressing the NLR gene (Glyma.18g283200) were generated to elucidate the molecular mechanism of resistance. Here, transcript changes and metabolic differences were investigated at three time points (12, 24, and 36 h) after P. sojae infection in hypocotyls of two soybean lines, Dongnong 50 (susceptible line, WT) and Glyma.18g283200 overexpression line (resistant line, OE). Based on the changes in differentially expressed genes (DEGs) in response to P. sojae infection in different lines and at different time points, it was speculated that HOPZ-ACTIVATED RESISTANCE 1 (ZAR1), valine, leucine, and isoleucine degradation, and phytohormone signaling may be involved in the defense response of soybean to P. sojae at the transcriptome level by GO term and KEGG pathway enrichment analysis. Differentially accumulated metabolites (DAMs) analysis revealed that a total of 223 and 210 differential metabolites were identified in the positive ion (POS) and negative ion (NEG) modes, respectively. An integrated pathway-level analysis of transcriptomics (obtained by RNA-seq) and metabolomics data revealed that isoflavone biosynthesis was associated with disease resistance. This work provides valuable insights that can be used in breeding programs aiming to enhance soybean resistance against PRR.

Funder

National Natural Science Foundation of China

The Key Research and Development Program of Jiangsu Province

Zhongshan Biological Breeding Laboratory

China Agriculture Research System of MOF and MARA

the Modern Agricultural Industry Technology System in Jiangsu Province

the Jiangsu Agriculture Science and Technology Innovation Fund

Jiangsu Collaborative Innovation Center for Modern Crop Production, and the Fundamental Research Funds for the Central Universities

Publisher

MDPI AG

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