Integrative Transcriptomic and Metabolomic Analysis Reveals the Molecular Mechanism of Red Maple (Acer rubrum L.) Leaf Coloring

文献类型： 外文期刊

第一作者： Luo, Yuanyuan

作者： Luo, Yuanyuan;Zhang, Xia;Zhang, Damao;Cai, Wenqi;Long, Yuelin;Xiong, Xingyao;Li, Yanlin;Luo, Yuanyuan;Deng, Min;Zhang, Xia;Zhang, Damao;Cai, Wenqi;Li, Yanlin;Zhang, Xia;Zhang, Damao;Cai, Wenqi;Li, Yanlin;Long, Yuelin;Xiong, Xingyao;Li, Yanlin;Li, Yanlin;Li, Yanlin

作者机构：

关键词： Acer rubrum L; transcriptomics; metabolomics; flavonoid; coloring

期刊名称：METABOLITES （ 影响因子：4.1； 五年影响因子：4.5 ）

ISSN：

年卷期： 2023 年 13 卷 4 期

页码：

收录情况： SCI

摘要： This study employed a combination of ultraviolet spectrophotometry, LC-ESI-MS/MS system, and RNA-sequencing technology; the extracts and isolation of total RNA from the red and yellow leaf strains of red maple (Acer rubrum L.) at different developmental stages were subjected to an intercomparison of the dynamic content of chlorophyll and total anthocyanin, flavonoid metabolite fingerprinting, and gene expression. The metabonomic results indicated that one hundred and ninety-two flavonoids were identified, which could be classified into eight categories in the red maple leaves. Among them, 39% and 19% were flavones and flavonols, respectively. The metabolomic analysis identified 23, 32, 24, 24, 38, and 41 DAMs in the AR1018r vs. AR1031r comparison, the AR1018r vs. AR1119r comparison, the AR1031r vs. AR1119r comparison, the AR1018y vs. AR1031y comparison, the AR1018y vs. AR1119y comparison, and the AR1031y vs. AR1119y comparison, respectively. In total, 6003 and 8888 DEGs were identified in AR1018r vs. AR1031r comparison and in the AR1018y vs. AR1031y comparison, respectively. The GO and KEGG analyses showed that the DEGs were mainly involved in plant hormone signal transduction, flavonoid biosynthesis, and other metabolite metabolic processes. The comprehensive analysis revealed that caffeoyl-CoA 3-O-methyltransferase (Cluster-28704.45358 and Cluster-28704.50421) was up-regulated in the red strain but down-regulated in the yellow strain, while Peonidin 3-O-glucoside chloride and Pelargonidin 3-O-beta-D-glucoside were up-regulated in both the red and yellow strains. By successfully integrating the analyses on the behavior of pigment accumulation, dynamics of flavonoids, and differentially expressed genes with omics tools, the regulation mechanisms underlying leaf coloring in red maple at the transcriptomic and metabolomic levels were demonstrated, and the results provide valuable information for further research on gene function in red maple.

分类号：

  • 相关文献
作者其他论文 更多>>
  • SPTS: Single Pixel in Time-Series Triangle Model for Estimating Surface Soil Moisture

    作者：Ma, Tian;Leng, Pei;Aliyu Kasim, Abba;Li, Zhao-Liang;Ma, Tian;Gao, Yu-Xin;Guo, Xiaonan;Zhang, Xia;Shang, Guo-Fei;Li, Zhao-Liang

    关键词：Land surface temperature (LST); Landsat; single pixel in time series (SPTS); soil moisture

  • Natural Variation of PH8 Allele Improves Architecture and Cold Tolerance in Rice

    作者：Chen, Cheng;Zhang, Xia;Xu, Mingjia;Zhao, Weiying;Wang, Yangkai;Xiong, Jiawei;Yuan, Hua;Chen, Weilan;Tu, Bin;Li, Ting;Kang, Liangzhu;Tang, Shiwen;Wang, Yuping;Ma, Bingtian;Li, Shigui;Qin, Peng;Chen, Cheng;Zhang, Xia;Chen, Jialin;Chen, Zhuo

    关键词：Rice; Plant height; Cold tolerance; GWAS; Selection

  • Alleviation of salt stress in strawberries by hydrogen-rich water: Physiological, transcriptomic and metabolomic responses

    作者：Wang, Renyuan;Chu, Shaohua;Zhang, Dan;Zhang, Xia;Chi, Yaowei;Ma, Xianzhong;Yang, Xijia;Zhou, Pei;Wang, Renyuan;Chu, Shaohua;Zhang, Dan;Zhang, Xia;Chi, Yaowei;Ma, Xianzhong;Yang, Xijia;Zhou, Pei;Wang, Renyuan;Chu, Shaohua;Zhang, Dan;Zhang, Xia;Chi, Yaowei;Ma, Xianzhong;Yang, Xijia;Zhou, Pei;Wang, Renyuan;Chu, Shaohua;Zhang, Dan;Yang, Haiyan;Ding, Wenjiang;Zhou, Pei;Wang, Renyuan;Chu, Shaohua;Zhang, Dan;Yang, Haiyan;Ding, Wenjiang;Zhou, Pei;Chu, Shaohua;Zhang, Dan;Zhao, Ting;Zhou, Pei;Chu, Shaohua;Zhang, Dan;Zhou, Pei;Ren, Yongfeng;Zhou, Pei;Hayat, Kashif;Chen, Xunfeng

    关键词：

  • Nitrogen cycle induced by plant growth-promoting rhizobacteria drives "microbial partners" to enhance cadmium phytoremediation

    作者：Chi, Yaowei;Ma, Xianzhong;Chu, Shaohua;Wang, Renyuan;Zhang, Xia;Zhang, Dongwei;Zhao, Ting;Zhang, Dan;Zhou, Pei;Chi, Yaowei;Ma, Xianzhong;Chu, Shaohua;Wang, Renyuan;Zhang, Xia;Zhang, Dongwei;Zhao, Ting;Zhang, Dan;Zhou, Pei;Chi, Yaowei;Ma, Xianzhong;Chu, Shaohua;Wang, Renyuan;Zhang, Xia;Zhang, Dongwei;Zhao, Ting;Zhang, Dan;Zhou, Pei;Chi, Yaowei;Ma, Xianzhong;Chu, Shaohua;Wang, Renyuan;Zhang, Xia;Zhang, Dongwei;Zhao, Ting;Zhang, Dan;Zhou, Pei;Chi, Yaowei;Ma, Xianzhong;Chu, Shaohua;Wang, Renyuan;Zhang, Xia;Zhang, Dongwei;Zhao, Ting;Zhang, Dan;Zhou, Pei;You, Yimin;Chen, Xunfeng;Wang, Juncai;Zhou, Pei

    关键词：Plant growth-promoting rhizobacteria; Phytoremediation; Heavy metal; Soil nitrate reductase; Microbiota; Synthetic community

  • EasyMetagenome: A user-friendly and flexible pipeline for shotgun metagenomic analysis in microbiome research

    作者：Bai, Defeng;Xun, Jiani;Ma, Chuang;Luo, Hao;Yang, Haifei;Hou, Huiyu;Lv, Hujie;Wan, Xiulin;Wang, Yao;Yousuf, Salsabeel;Zeng, Meiyin;Zhang, Tianyuan;Gao, Yunyun;Liu, Yong-Xin;Chen, Tong;Ma, Chuang;Yang, Haifei;Cao, Chen;Cao, Xiaofeng;Cui, Jianzhou;Deng, Yuan-Ping;Deng, Zhaochao;Yu, Hao;Zhang, Chunfang;Dong, Wenxin;Dong, Wenxue;Du, Juan;Fang, Qunkai;Fang, Wei;Fang, Yue;Luan, Yaning;Fu, Fangtian;Fu, Min;Fu, Yi-Tian;Gao, He;Ge, Jingping;Guo, Yuhao;Gong, Qinglong;Lou, Wenbo;Gu, Lunda;Yang, Li;Guo, Peng;Hai, Tang;Liu, Hao;He, Jieqiang;He, Zi-Yang;Huang, Can;Ji, Shuai;Jiang, ChangHai;Jiang, Gui-Lai;Jiang, Lingjuan;Jin, Ling N.;Li, Changchao;Kan, Yuhe;Kang, Da;Kou, Jin;Lam, Ka-Lung;Li, Chong;Li, Fuyi;Li, Liwei;Li, Miao;Li, Xin;Li, Ye;Li, Zheng-Tao;Zhu, Chengshuai;Liang, Jing;Mo, Jiayuan;Lin, Yongxin;Liu, Changzhen;Liu, Danni;Zhang, Jing;Chen, Shifu;Liu, Fengqin;Liu, Jia;Liu, Tianrui;Liu, Tingting;Wang, Xinlong;Liu, Xinyuan;Luo, Yuanyuan;Liu, Yaqun;Liu, Bangyan;Liu, Minghao;Lv, Hujie;Ma, Tengfei;Mai, Zongjiong;Niu, Dongze;Pan, Zhuo;Qi, Heyuan;Shi, Zhanyao;Song, Chunjiao;Sun, Fuxiang;Sun, Yan;Tian, Sihui;Wang, Guoliang;Wang, Hongyang;Wang, Hongyu;Wang, Huanhuan;Wang, Jing;Wang, Jun;Wang, Kang;Wang, Leli;Yao, Xiaofang;Wang, Shao-kun;Xiao, Zufei;Xing, Huichun;Xu, Yifan;Yang, Song;Yan, Shu-yan;Zhang, Yi-Bo;Yang, Yuanming;Lei, Yu;Yuan, Zhengrong;Zhang, Chunge;Zhang, Huimin;Zhang, Na;Zhang, Yupeng;Zhang, Zheng;Zhou, Mingda;Zhou, Yuanping;Zhu, Zhihao;Zhu, Lin;Zhu, Yue;Zou, Hongqin;Zuo, Anna;Dong, Wenxuan;Wen, Tao;Chen, Shifu;Chen, Shifu;Li, Guoliang

    关键词：metagenome; microbiome; microbiota; pipeline; visualization

  • Vertical stratification-enabled early monitoring of cotton Verticillium wilt using in-situ leaf spectroscopy via machine learning models

    作者：Gao, Yi;Huang, Changping;Zhang, Xia;Gao, Yi;Huang, Changping;Zhang, Ze;Chen, Bing

    关键词：cotton Verticillium wilt; vertical leaf layer; hyperspectral reflectance; machine learning; disease severity

  • Applying stacked machine learning models to guide electrochemical oxidation of antibiotics: Key parameter identification and process optimization insights

    作者：Jia, Shichang;Deng, Min;Li, Jiahang;Zhang, Jinzhong;Mu, Yue;Tian, Xiaosong;Xie, Qing

    关键词：Electrochemical advanced oxidation; Antibiotics; Machine learning; SHAP analysis; Model prediction

微信小程序