数字农科院2.0

Transcriptomic and Metabolomic Analyses Reveal the Role of Phenylalanine Metabolism in the Maize Response to Stalk Rot Caused by Fusarium proliferatum

文献类型: 外文期刊

作者: Jianjun Sun;Yanzhao Wang;Xingrui Zhang;Zeqiang Cheng;Yinghui Song;Huimin Li;Na Wang;Shen Liu;Zijia Cao;Hongxia Li;Wanying Zheng;Canxing Duan;Yanyong Cao

作者机构:

关键词: Fusarium proliferatum;maize stalk rot;metabolome;phenylalanine metabolism;transcriptome

期刊名称: International Journal of Molecular Sciences

ISSN: 1661-6596

年卷期: 2024 年 25 卷 3 期

页码:

收录情况: SCIE(2024版)

摘要: Stalk rot is a prevalent disease of maize (Zea mays L.) that severely affects maize yield and quality worldwide. The ascomycete fungus Fusarium spp. is the most common pathogen of maize stalk rot. At present, the molecular mechanism of Fusarium proliferation during the maize stalk infection that causes maize stalk rot has rarely been reported. In this study, we investigated the response of maize to F. proliferatum infestation by analyzing the phenotypic, transcriptomic, and metabolomic data of inbred lines ZC17 (resistant) and CH72 (susceptible) with different levels of resistance to stalk rot. Physiological and phenotypic results showed that the infection CH72 was significantly more severe than ZC17 after inoculation. Transcriptome analysis showed that after inoculation, the number of differentially expressed genes (DEGs) was higher in CH72 than in ZC17. Nearly half of these DEGs showed the same expression trend in the two inbred lines. Functional annotation and enrichment analyses indicated that the major pathways enriched for DEGs and DEMs included the biosynthesis of plant secondary metabolites, phenylalanine metabolism, biosynthesis of plant hormones, and plant–pathogen interactions. The comprehensive analysis of transcriptome and metabolome data indicated that phenylalanine metabolism and the phenylalanine, tyrosine, and tryptophan biosynthesis pathways played a crucial role in maize resistance to F. proliferatum infection. In addition, a transcription factor (TF) analysis of the DEGs showed that several TF families, including MYB, bHLH, NAC, and WRKY, were significantly activated after inoculation, suggesting that these TFs play important roles in the molecular regulatory network of maize disease resistance. The findings of this study provide valuable insights into the molecular basis of the response of maize to Fusarium proliferatum infection and highlight the importance of combining multiple approaches, such as phenotyping, transcriptomics, and metabolomics, to gain a comprehensive understanding of plant–pathogen interactions.

分类号:

  • 相关文献

[1]Multi-omics integration to explore the molecular insight into the volatile organic compounds in watermelon. Chengsheng Gong,Nan He,Hongju Zhu,Muhammad Anees,Xuqiang Lu,Wenge Liu. 2023

[2]Defensive Resistance of Cowpea Vigna unguiculata Control Megalurothrips usitatus Mediated by Jasmonic Acid or Insect Damage. Tao Li,Mingyue Feng,Yuanming Chi,Xing Shi,Zilin Sun,Zhen Wu,Aomei Li,Wangpeng Shi. 2023

[3]Transcriptomic and metabolomic analyses reveal that exogenous strigolactones alleviate the response of melon root to cadmium stress. Chen X.,Shi X.,Ai Q.,Han J.,Wang H.,Fu Q.. 2022

[4]Transcriptome Co-expression Network and Metabolome Analysis Identifies Key Genes and Regulators of Proanthocyanidins Biosynthesis in Brown Cotton. Zhenzhen Wang,Xiaomeng Zhang,Shoupu He,Abdul Rehman,Yinhua Jia,Hongge Li,Zhaoe Pan,Xiaoli Geng,Qiong Gao,Liru Wang,Zhen Peng,Xiongming Du. 2022

[5]Transcriptomic and Metabolomic Analysis of Wheat Kernels in Response to the Feeding of Orange Wheat Blossom Midges (Sitodiplosis mosellana) in the Field. Qian Wang,Xiaobei Liu,Huan Liu,Yu Fu,Yumeng Cheng,Lijiao Zhang,Wangpeng Shi,Yong Zhang,Julian Chen. 2022

[6]Integrated Transcriptome and Metabolome Dissecting Interaction between Vitis vinifera L. and Grapevine Fabavirus. Baodong Zhang,Mengyan Zhang,Xiaojun Jia,Guojun Hu,Fang Ren,Xudong Fan,Yafeng Dong. 2023

[7]Integrated Metabolome and Transcriptome Analysis Unveils the Underlying Molecular Response of Panax ginseng Plants to the Phytophthora cactorum Infection. Hong Kan,Shuai Qu,Kai Dong,Shihan Wang,Chen Xu,Yingping Wang,Shuang Hua. 2023

[8]Integrated metabolomics and transcriptomics insights on flavonoid biosynthesis of a medicinal functional forage, Agriophyllum squarrosum (L.), based on a common garden trial covering six ecotypes. Tingzhou Fang,Shanshan Zhou,Chaoju Qian,Xia Yan,Xiaoyue Yin,Xingke Fan,Pengshu Zhao,Yuqiu Liao,Liang Shi,Yuxiao Chang,Xiao Fei Ma. 2022

[9]Multi-omics analyses of 398 foxtail millet accessions reveal genomic regions associated with domestication, metabolite traits, and anti-inflammatory effects. Xukai Li,Jianhua Gao,Jingyi Song,Kai Guo,Siyu Hou,Xingchun Wang,Qiang He,Yanyan Zhang,Yakun Zhang,Yulu Yang,Jiaoyan Tang,Hailang Wang,Staffan Persson,Mingquan Huang,Lishuai Xu,Linlin Zhong,Dongqin Li,Yongming Liu,Hua Wu,Xianmin Diao,Pe. 2022

[10]Integrative analysis of metabolome and genome-wide transcriptome reveal the flavor changes in apple (Malus pumila Mill) after the novel acaricide cyflumetofen application. Minmin Li,Lin Li,Zhiqiang Kong,Noel Gregoire,Rui Quan,Zisheng Luo,Xingyu Lin,Jesus Simal-Gandara,Bei Fan,Fengzhong Wang. 2023

[11]Comparison of transcriptome and metabolome analysis revealed differences in cold resistant metabolic pathways in different apple cultivars under low temperature stress. Xu, Gongxun,Li, Lijie,Zhou, Jia,Lyu, Deguo,Zhao, Deying,Qin, Sijun. 2023

[12]Combining quantitative trait locus mapping with multiomics profiling reveals genetic control of corn leaf aphid (Rhopalosiphum maidis) resistance in maize. Wang, Tengyue,Wang, Kaiji,Wang, Chuanhong,Zhao, Yibing,Tao, Zhen,Li, Junyao,Wang, Lei,Shi, Jian,Huang, Shijie,Xie, Chuanxiao,Li, Peijin. 2023

[13]Editorial: Omics data-based identification of plant specialized metabolic genes. Peipei Wang,Pengxiang Fan,Yan Bao,Wei Li,Li Wang. 2023

[14]Metabolome and Transcriptome Analyses Reveal the Differences in the Molecular Mechanisms of Oat Leaves Responding to Salt and Alkali Stress Conditions. Bai, Jianhui,Lu, Peina,Li, Feng,Li, Lijun,Yin, Qiang. 2023

[15]Metabolome and Transcriptome Integration Reveals Insights Into Flavor Formation of ‘Crimson’ Watermelon Flesh During Fruit Development. Chengsheng Gong,Weinan Diao,Hongju Zhu,Muhammad Jawad Umer,Shengjie Zhao,Nan He,Xuqiang Lu,Pingli Yuan,Muhammad Anees,Dongdong Yang,M. O. Kaseb,Wenge Liu. 2021

[16]The multi-omics basis of potato heterosis. Dawei Li,Xiaoyue Lu,Yanhui Zhu,Jun Pan,Shaoqun Zhou,Xinyan Zhang,Guangtao Zhu,Yi Shang,Sanwen Huang,Chunzhi Zhang. 2022

[17]Multi-Omic Analysis in a Metabolic Syndrome Porcine Model Implicates Arachidonic Acid Metabolism Disorder as a Risk Factor for Atherosclerosis. Song Song Xu,Xiu Ling Zhang,Sha Sha Liu,Shu Tang Feng,Guang Ming Xiang,Chang Jiang Xu,Zi Yao Fan,Kui Xu,Nan Wang,Yue Wang,Jing Jing Che,Zhi Guo Liu,Yu Lian Mu,Kui Li. 2022

[18]Transcriptomic and Metabolomic Analyses Provide Insights Into an Aberrant Tissue of Tea Plant (Camellia sinensis). Ding Ding Liu,Jun Ya Wang,Rong Jin Tang,Jie Dan Chen,Zhen Liu,Liang Chen,Ming Zhe Yao,Chun Lei Ma. 2021

[19]Transcription profile analysis for biosynthesis of flavor volatiles of Tunisian soft-seed pomegranate arils. Lei Yuan,Yurou Yun,Jun Tian,Zheng Qing Gao,Zhenzhen Xu,Xiaojun Liao,Junjie Yi,Shengbao Cai,Linyan Zhou. 2022

[20]Small Brown Planthopper Nymph Infestation Regulates Plant Defenses by Affecting Secondary Metabolite Biosynthesis in Rice. Li, Shuai,Qi, Liangxuan,Tan, Xinyang,Li, Shifang,Fang, Jichao,Ji, Rui. 2023

作者其他论文 更多>>