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转录组和代谢组的综合分析揭示了白菜(var. )对感染的差异响应。

Integrated Analysis of Transcriptome and Metabolome Reveals Differential Responses to Infection in Cabbage ( var. ).

机构信息

Anhui Provincial Key Laboratory of Horticultural Crop Quality Biology, College of Horticulture, Anhui Agricultural University, Hefei 230036, China.

Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Institute of Vegetable Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.

出版信息

Genes (Basel). 2024 Apr 25;15(5):545. doi: 10.3390/genes15050545.

DOI:10.3390/genes15050545
PMID:38790174
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11121261/
Abstract

Black spot, caused by (), poses a serious threat to crucifer production, and knowledge of how plants respond to infection is essential for black spot management. In the current study, combined transcriptomic and metabolic analysis was employed to investigate the response to infection in two cabbage ( var. ) genotypes, Bo257 (resistant to ) and Bo190 (susceptible to ). A total of 1100 and 7490 differentially expressed genes were identified in Bo257 (R_mock vs. R_) and Bo190 (S_mock vs. S_), respectively. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that "metabolic pathways", "biosynthesis of secondary metabolites", and "glucosinolate biosynthesis" were the top three enriched KEGG pathways in Bo257, while "metabolic pathways", "biosynthesis of secondary metabolites", and "carbon metabolism" were the top three enriched KEGG pathways in Bo190. Further analysis showed that genes involved in extracellular reactive oxygen species (ROS) production, jasmonic acid signaling pathway, and indolic glucosinolate biosynthesis pathway were differentially expressed in response to infection. Notably, when infected with , genes involved in extracellular ROS production were largely unchanged in Bo257, whereas most of these genes were upregulated in Bo190. Metabolic profiling revealed 24 and 56 differentially accumulated metabolites in Bo257 and Bo190, respectively, with the majority being primary metabolites. Further analysis revealed that dramatic accumulation of succinate was observed in Bo257 and Bo190, which may provide energy for resistance responses against infection via the tricarboxylic acid cycle pathway. Collectively, this study provides comprehensive insights into the -cabbage interactions and helps uncover targets for breeding -resistant varieties in cabbage.

摘要

黑斑病由 引起,对十字花科作物的生产构成严重威胁,了解植物对 感染的反应对于黑斑病的管理至关重要。在本研究中,采用联合转录组和代谢分析的方法,研究了两种白菜(var.)基因型 Bo257(抗 )和 Bo190(感 )对 感染的反应。在 Bo257(R_mock 与 R_)和 Bo190(S_mock 与 S_)中分别鉴定到了 1100 个和 7490 个差异表达基因。京都基因与基因组百科全书(KEGG)通路分析表明,“代谢途径”、“次生代谢物的生物合成”和“硫代葡萄糖苷生物合成”是 Bo257 中富集程度最高的前三个 KEGG 通路,而“代谢途径”、“次生代谢物的生物合成”和“碳代谢”则是 Bo190 中富集程度最高的前三个 KEGG 通路。进一步分析表明,参与细胞外活性氧(ROS)产生、茉莉酸信号通路和吲哚硫代葡萄糖苷生物合成途径的基因在 感染后发生差异表达。值得注意的是,在 Bo257 中,与细胞外 ROS 产生相关的基因在 感染后变化不大,而在 Bo190 中,这些基因大多上调。代谢谱分析显示,Bo257 和 Bo190 分别有 24 个和 56 个差异积累代谢物,其中大多数为初级代谢物。进一步分析表明,Bo257 和 Bo190 中琥珀酸的积累显著增加,这可能通过三羧酸循环途径为对 感染的抗性反应提供能量。综上所述,本研究为白菜与 之间的相互作用提供了全面的认识,并有助于为白菜培育抗 品种提供目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/c2621f1f304d/genes-15-00545-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/7a2eae25f9a8/genes-15-00545-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/35790a1db9df/genes-15-00545-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/c5fe4e69176f/genes-15-00545-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/217b34050b87/genes-15-00545-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/8821acd5f1b7/genes-15-00545-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/71b9c5e6e48c/genes-15-00545-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/f2df06aeb407/genes-15-00545-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/c2621f1f304d/genes-15-00545-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/7a2eae25f9a8/genes-15-00545-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/35790a1db9df/genes-15-00545-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/c5fe4e69176f/genes-15-00545-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/217b34050b87/genes-15-00545-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/8821acd5f1b7/genes-15-00545-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/71b9c5e6e48c/genes-15-00545-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/f2df06aeb407/genes-15-00545-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c968/11121261/c2621f1f304d/genes-15-00545-g008.jpg

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