Transcriptomic and metabolomic analyses reveal that bacteria promote plant defense during infection of soybean cyst nematode in soybean

BMC Plant Biology
Wenshu KangYuxi Duan

Abstract

Soybean cyst nematode (SCN) is the most devastating pathogen of soybean. Our previous study showed that the plant growth-promoting rhizobacterium Bacillus simplex strain Sneb545 promotes soybean resistance to SCN. Here, we conducted a combined metabolomic and transcriptomic analysis to gain information regarding the biological mechanism of defence enhancement against SCN in Sneb545-treated soybean. To this end, we compared the transcriptome and metabolome of Sneb545-treated and non-treated soybeans under SCN infection. Transcriptomic analysis showed that 6792 gene transcripts were common in Sneb545-treated and non-treated soybeans. However, Sneb545-treated soybeans showed a higher concentration of various nematicidal metabolites, including 4-vinylphenol, methionine, piperine, and palmitic acid, than non-treated soybeans under SCN infection. Overall, our results validated and expanded the existing models regarding the co-regulation of gene expression and metabolites in plants, indicating the advantage of integrated system-oriented analysis.

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Citations

Apr 12, 2019·Pest Management Science·Elisa Korenblum, Asaph Aharoni
Feb 6, 2020·Metabolites·Fernanda R Castro-MorettiAna P Alonso
Aug 6, 2020·Frontiers in Plant Science·Ili Nadhirah JamilWan Mohd Aizat
Sep 14, 2020·The Plant Journal : for Cell and Molecular Biology·Susan M MoengaDouglas R Cook
Dec 8, 2020·Frontiers in Plant Science·Willem DesmedtBartel Vanholme
Jun 29, 2021·Journal of Agricultural and Food Chemistry·Evandro SilvaEduardo Jorge Pilau
Jul 3, 2021·Foods·Felipe Sanchez BragagnoloAlejandro Cifuentes
Aug 24, 2021·3 Biotech·Arpan MukherjeeJay Prakash Verma

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Datasets Mentioned

BETA
209698678

Methods Mentioned

BETA
RNA Assay
RNA-seq
transgenic

Software Mentioned

R
Bowtie
HTSeq
SPSS
house
Word
SIMCA
SPSS Base
OPLS
TopHat

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