刘胜红, 杨清, 吴化雨, 等. 羧甲基壳聚糖诱导葡萄柚果实抗病防御代谢物差异分析[J]. 西南林业大学学报(自然科学), 2024, 44(2): 163–173 . DOI: 10.11929/j.swfu.202306008
引用本文: 刘胜红, 杨清, 吴化雨, 等. 羧甲基壳聚糖诱导葡萄柚果实抗病防御代谢物差异分析[J]. 西南林业大学学报(自然科学), 2024, 44(2): 163–173 . DOI: 10.11929/j.swfu.202306008
Liu Shenghong, Yang Qing, Wu Huayu, Tang Yong, Wang Fang, Li Genqian, Deng Jia. Analysis of Resistance and Defense Metabolites of Postharvest Citrus paradisi Induced by Carboxymethyl-chitosan[J]. Journal of Southwest Forestry University, 2024, 44(2): 163-173. DOI: 10.11929/j.swfu.202306008
Citation: Liu Shenghong, Yang Qing, Wu Huayu, Tang Yong, Wang Fang, Li Genqian, Deng Jia. Analysis of Resistance and Defense Metabolites of Postharvest Citrus paradisi Induced by Carboxymethyl-chitosan[J]. Journal of Southwest Forestry University, 2024, 44(2): 163-173. DOI: 10.11929/j.swfu.202306008

羧甲基壳聚糖诱导葡萄柚果实抗病防御代谢物差异分析

Analysis of Resistance and Defense Metabolites of Postharvest Citrus paradisi Induced by Carboxymethyl-chitosan

  • 摘要: 为研究羧甲基壳聚糖(CMCS)诱导采后葡萄柚果实抗性代谢物的差异,以葡萄柚果实为试材,采用1.5% CMCS和无菌水(CK)分别诱导葡萄柚24 h,利用非靶向代谢组学技术分析葡萄柚果实中代谢物的差异。结果表明,CMCS诱导葡萄柚24 h,共得到92种差异代谢物,其中,上调36种,下调56种。KEGG通路注释结果表明,差异代谢物被显著(P < 0.05)富集到21条通路中,主要参与氨基酸和苯丙烷代谢。进一步筛选发现L−谷氨酰胺、L−谷氨酸、L−天冬酰胺、L−精氨酸、酪胺、丙二酸、莽草酸、D−赤藓−3−甲基苹果酸、反式肉桂酸和香豆素的表达量发生显著变化,且显著(P < 0.05)高于CK。另将相关差异代谢物与关键抗性差异基因(HSP17.4B、NCED1、GGCT2;2、HSP22.0、WRKY53、HSP22.0、WRKY40、WRKY54)进行相关性分析,结果证实两者之间存在显著正相关关系。

     

    Abstract: In order to study the difference of Carboxymethyl-chitosan(CMCS)-induced resistant metabolites in postharvest grapefruit fruits. In this study, grapefruit fruits were used as test materials, and grapefruit was induced by 1.5% CMCS and sterile water(CK) for 24 h, respectively. The differences of metabolites in grapefruit fruits were analyzed by non-targeted metabolomics. The results showed that a total of 92 differential metabolites were obtained after CMCS induced grapefruit for 24 h, of which 36 were up-regulated and 56 were down-regulated. The KEGG pathway annotation results showed that the differential metabolites were significantly(P < 0.05) enriched into 21 pathways, mainly involved in amino acid and phenylpropanoid metabolism. Further screening found that the expression levels of L−Glutamine, L−Glutamic acid, L−Asparagine, Arginine, Tyramine, Malonic acid, Shikimic acid, D-erythro-3-Methylmalate, trans-Cinnamate and Coumarin changed significantly, and were significantly(P < 0.05) higher than CK. In addition, the related differential metabolites and key resistance differential genes(HSP17.4B, NCED1, GGCT2;2 HSP22.0, WRKY53, HSP22.0, WRKY40, WRKY54) confirmed that there was a significant positive correlation between the two.

     

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