Transcriptomic and metabolomic insights into pine wood nematode resistance mechanisms in <i>Pinus massoniana</i>

Pine wilt disease, caused by the pine wood nematode (PWN), is a devastating systemic disease with significantly impacts on pine species, particularly Pinus massoniana (Masson pine) in South China. This study integrated transcriptomic and metabolomic analyses to identify differentially expressed genes (DEGs) and differentially accumulated metabolites associated with PWN resistance. By comparing the gene expression and metabolic profiles of healthy, mechanically wounded and PWN-infected Masson pine trees at 28 days post-inoculation, we identified that 1310 DEGs were specifically associated with PWN infection after excluding mechanical damage effects. Notably, combined KEGG analysis of transcriptomic and metabolomic data revealed significant enrichment of the α-linolenic acid metabolism pathway. Within this pathway, genes such as AOS, LCAT3 and DAD1 exhibited differential expression patterns, highlighting its pivotal role in PWN resistance. Metabolomic analysis revealed that key genes involved in jasmonic acid (JA) biosynthesis and plant hormone signaling showing strong regulation. Additionally, Quantitative Real-Time PCR (qRT-PCR) validation of selected DEGs confirmed the expression patterns observed in the transcriptomic data. Physiological assays also validated changes in key hormone levels, such as JA and methyl jasmonate, which are upregulated in the early stages of plant infection. These results highlight the importance of JA-mediated defence responses and provide novel insights for breeding strategies to improve P. massoniana's resistance to PWN infection.

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Publication Details

Journal
Tree Physiology
Published
2025-08-29
DOI
https://doi.org/10.1093/treephys/tpaf104
Citations
1
Primary Topic
Insect-Plant Interactions and Control
Type
article
Field-Weighted Citation Impact
1.67
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article

Transcriptomic and metabolomic insights into pine wood nematode resistance mechanisms in Pinus massoniana

Youlian Zhang, Shunfen Wang, Feiping Zhang, Xia Hu et al.
1 citations
Tree Physiology
Insect-Plant Interactions and Control
1.67
article

Transcriptomic and metabolomic insights into pine wood nematode resistance mechanisms in Pinus massoniana

Youlian Zhang, Shunfen Wang, Feiping Zhang, Xia Hu, Ming Li, Xianghua Liu, Shaoqing Ju, Guoqiang Li, Zeguang Wang
article en
1 citations

Abstract

Pine wilt disease, caused by the pine wood nematode (PWN), is a devastating systemic disease with significantly impacts on pine species, particularly Pinus massoniana (Masson pine) in South China. This study integrated transcriptomic and metabolomic analyses to identify differentially expressed genes (DEGs) and differentially accumulated metabolites associated with PWN resistance. By comparing the gene expression and metabolic profiles of healthy, mechanically wounded and PWN-infected Masson pine trees at 28 days post-inoculation, we identified that 1310 DEGs were specifically associated with PWN infection after excluding mechanical damage effects. Notably, combined KEGG analysis of transcriptomic and metabolomic data revealed significant enrichment of the α-linolenic acid metabolism pathway. Within this pathway, genes such as AOS, LCAT3 and DAD1 exhibited differential expression patterns, highlighting its pivotal role in PWN resistance. Metabolomic analysis revealed that key genes involved in jasmonic acid (JA) biosynthesis and plant hormone signaling showing strong regulation. Additionally, Quantitative Real-Time PCR (qRT-PCR) validation of selected DEGs confirmed the expression patterns observed in the transcriptomic data. Physiological assays also validated changes in key hormone levels, such as JA and methyl jasmonate, which are upregulated in the early stages of plant infection. These results highlight the importance of JA-mediated defence responses and provide novel insights for breeding strategies to improve P. massoniana's resistance to PWN infection.

Tree PhysiologyVol. 45(10)
State Forestry and Grassland Administration (CN), Fujian Agriculture and Forestry University (CN)
Openalex Percentile: Top 15%
Insect-Plant Interactions and Control
1.67
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