The novel nematicide chiricanine A suppresses Bursaphelenchus xylophilus pathogenicity in Pinus massoniana by inhibiting Aspergillus and its secondary metabolite, sterigmatocystin
Jia, J.; Chen, L.; Yu, W.; Su, J.
Show abstract
BACKGROUNDPine wilt disease (PWD) is responsible for extensive economic and ecological damage to Pinus spp. forests and plantations worldwide. PWD is caused by the pine wood nematode (PWN, Bursaphelenchus xylophilus) and transmitted into pine trees by a vector insect, the Japanese pine sawyer (JPS, Monochamus alternatus). Host infection by PWN will attract JPS to spawn, which leads to the co-existence of PWN and JPS within the host tree, an essential precondition for PWD outbreaks. Through the action of their metabolites, microbes can manipulate the co-existence of PWN and JPS, but our understanding on how key microorganisms engage in this process remains limited, which severely hinders the exploration and utilization of promising microbial resources in the prevention and control of PWD. RESULTSIn this study we investigated how the PWN-associated fungus Aspergillus promotes the co-existence of PWN and JPS in the host trees (Pinus massoniana) via its secondary metabolite, sterigmatocystin (ST), by taking a multi-omics approach (phenomics, transcriptomics, microbiome, and metabolomics). We found that Aspergillus was able to promote PWN invasion and pathogenicity by increasing ST biosynthesis in the host plant, mainly by suppressing the accumulation of ROS (reactive oxygen species) in plant tissues that could counter PWN. Further, ST accumulation triggered the biosynthesis of VOC (volatile organic compounds) that attracts JPS and drives the coexistence of PWN and JPS in the host plant, thereby encouraging the local transmission of PWD. Meanwhile, we show that application of an Aspergillus inhibitor (chiricanine A treatment) results in the absence of Aspergillus and decreases the in vivo ST amount, thereby sharply restricting the PWN development in host. This further proved that Aspergillus is vital and sufficient for promoting PWD transmission. CONCLUSIONSAltogether, these results document, for the first time, how the function of Aspergillus and its metabolite ST is involved in the entire PWD transmission chain, in addition to providing a novel and long-term effective nematicide for better PWD control in the field.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Nematicidal and antifeedant activity of ethyl acetate extracts from culture filtrates of Arabidopsis thaliana fungal endophytes 95%
- Genomic and transcriptomic analysis of camptothecin producing novel fungal endophyte - Alternaria burnsii NCIM 1409 94%
- Cross-kingdom signalling regulates spore germination in the moss Physcomitrella patens 94%
Similar papers in this journal
- SntB triggers the antioxidant pathways to regulate development and aflatoxin biosynthesis in Aspergillus flavus 95%
- Action mechanism of a novel agrichemical quinofumelin against Fusarium graminearum 93%
- Hülle-cell-mediated protection of fungal reproductive and overwintering structures against fungivorous animals 93%
Similar papers in this journal
- Metabolic functional redundancy of the CYP9A subfamily members leads to P450-mediated lambda-cyhalothrin resistance in Cydia pomonella 94%
- Characterisation of aphid antixenosis in aphid-resistant ancestor wheat, Triticum monococcum 93%
- Field evaluation of biocontrol agents against black-foot and Petri diseases of grapevine 93%
Similar papers in this journal
- Contrasting Phyllosphere Mycobiome in two Lycopodiaceae Plant Species: Unraveling Potential HupA-Producing Fungi and Fungal Interactions 95%
- Unravelling Induced Resistance in Strawberry: Distinct Metabolomic Signatures Define Cultivar-Specific Resistance to Botrytis cinerea 93%
- A unique sulfotransferase-involving strigolactone biosynthetic route in Sorghum 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.