From molecule to cell: the expanding frontiers of plant immunity

Li, Lei; Liu, Jing; Zhou, Jian-Min

doi:10.1016/j.jgg.2024.02.005

Cited by 5 publications

(1 citation statement)

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“…PTI provides a first line of defense and is thought to be effective in preventing most potential pathogens. Cell surface-localized pattern recognition receptors (PRRs) recognize pathogen/microbe-associated molecular patterns (PAMPs/MAMPs) from pathogens to activate defenses [4]. ETI is activated by the recognition of microbial effectors by cytoplasmic Plants 2024, 13, 1705 2 of 18 nucleotide-binding leucine-rich repeat (NLR) receptors [5].…”

Section: Introductionmentioning

confidence: 99%

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

Sun,

Han,

Wang

et al. 2024

Plants

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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.

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Section: Introductionmentioning

confidence: 99%