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Transcriptomic and metabolomic differences between banana varieties which are resistant or susceptible to Fusarium wilt

文献类型： 外文期刊

作者： Tian, Dandan 1 ; Qin, Liuyan 1 ; Verma, Krishan K. 2 ; Wei, Liping 1 ; Li, Jialin 1 ; Li, Baoshen 1 ; Zhou, Wei 1 ; He, Zhangfei 1 ; Wei, Di 1 ; Huang, Sumei 1 ; Long, Shengfeng 1 ; Huang, Quyan 1 ; Li, Chaosheng 1 ; Wei, Shaolong 3 ;

作者机构： 1.Guangxi Acad Agr Sci, Biotechnol Res Inst, Nanning, Peoples R China

2.Guangxi Acad Agr Sci, Sugarcane Res Inst, Nanning, Peoples R China

3.Guangxi Subtrop Crops Res Inst, Nanning, Peoples R China

关键词： Musa sapientum; Foc4; Resistance mechanism; Breeding; Pathogenesis

期刊名称：PEERJ （ 影响因子：2.7； 五年影响因子：3.1 ）

ISSN： 2167-8359

年卷期： 2023 年 11 卷

页码：

收录情况： SCI

摘要： Background: Fusarium wilt, caused by Fusarium oxysporum f. sp. cubense race 4 (Foc4), is the most lethal disease of bananas in Asia. Methods: To better understand the defense response of banana to Fusarium wilt, the transcriptome and metabolome profiles of the roots from resistant and susceptible bananas inoculated with Foc4 were compared. Results: After Foc4 inoculation, there were 172 and 1,856 differentially expressed genes (DEGs) in the Foc4-susceptible variety (G1) and Foc4-resistant variety (G9), respectively. In addition, a total of 800 DEGs were identified between G1 and G9, which were mainly involved in the oxidation-reduction process, cell wall organization, phenylpropanoid biosynthesis, and lipid and nitrogen metabolism, especially the DEGs of Macma4_08_g22610, Macma4_11_g19760, and Macma4_03_g06480, encoding non-classical arabinogalactan protein; GDSL-like lipase; and peroxidase. In our study, G9 showed a stronger and earlier response to Foc4 than G1. As the results of metabolomics, lipids, phenylpropanoids and polyketides, organic acids, and derivatives played an important function in response to Fusarium wilt. More importantly, Macma4_11_g19760 might be one of the key genes that gave G9 more resistance to Foc4 by a lowered expression and negative regulation of lipid metabolism. This study illustrated the difference between the transcriptomic and metabolomic profiles of resistant and susceptible bananas. These results improved the current understanding of host-pathogen interactions and will contribute to the breeding of resistant banana plants.

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