数字农科院2.0

Multi-Omics Analysis Provides Insights into a Mosaic-Leaf Phenotype of Astaxanthin-Producing Tobacco

文献类型： 外文期刊

作者： Jialin Wang;Zaifeng Du;Xiaoyang Lin;Peng Li;Shihao Sun;Changqing Yang;Yong Chen;Zhongfeng Zhang;Xue Yin;Ning Fang

作者机构：

关键词： astaxanthin;chlorophyll metabolism;metabolomics;mosaic-like spots;proteomics;small RNA transcriptomics

期刊名称： Plants

ISSN： 2223-7747

年卷期： 2025 年 14 卷 6 期

页码：

收录情况： SCIE（2025版）

摘要： In metabolically engineered plants, the target products are usually uniformly distributed in the whole plant or specific tissues. When engineering tobacco to produce astaxanthin, a ketocarotenoid with strong antioxidant activity and multiple bioactivities, a scattered distribution of astaxanthin-producing regions was observed in a small portion of astaxanthin-producing tobacco plants, which caused mosaic-like red and green spots on the leaves (ASTA-mosaic). A physiological assay showed that the non-astaxanthin green region (Mosaic_G) had relatively higher chlorophyll content and better chloroplast structure than the astaxanthin-producing red region (Mosaic_R). Then, metabolomics, proteomics, and small RNA transcriptomics were employed to analyze the uneven distribution of astaxanthin-producing regions in tobacco leaves. The results of metabolomics and proteomics revealed a decrease in carotenoid metabolism, chlorophyll biosynthesis, and chlorophyll degradation in the Mosaic_G region. Pheophorbide a, an intermediate of chlorophyll degradation, was found to be significantly reduced in the Mosaic_G region, which was accompanied by the attenuation of chlorophyllase and pheophytinase, which catalyze the formation of pheophorbide a in chlorophyll degradation. Reductions in photosynthetic antenna proteins and photosystem-associated proteins were observed in the Mosaic_R region, consistent with the better chloroplast structure of the Mosaic_G region. Small RNA transcriptomics showed that several small RNAs could target chlorophyll-degradative genes, but they were more effective in targeting the astaxanthin biosynthetic genes. This finding was supported by the fact that the Mosaic_G region can remain green up to the senescence of tobacco leaves. This work provides insights into the mechanism of the uneven distribution of astaxanthin-producing regions in tobacco leaves and may contribute to the specialized utilization of tobacco plants for metabolic engineering.

分类号：

  • 相关文献

[1]Metabolic responses and "omics" technologies for elucidating the effects of heat stress in dairy cows. Min, Li,Zhao, Shengguo,Tian, He,Zhou, Xu,Zhang, Yangdong,Li, Songli,Zheng, Nan,Wang, Jiaqi,Min, Li,Yang, Hongjian.

[2]Effect of the DGAT1 K232A genotype of dairy cows on the milk metabolome and proteome. Lu, Jing,van Hooijdonk, Toon,Hettinga, Kasper,Lu, Jing,Boeren, Sjef,Vervoort, Jacques,Lu, Jing.

[3]Soybean Omics and Biotechnology in China. Guo, Yong,Wang, Xiao-Bo,He, Wei,Zhou, Guo-An,Guo, Bing-Fu,Zhang, Le,Liu, Zhang-Xiong,Luo, Zhong-Qin,Wang, Li-Hui,Qiu, Li-Juan. 2011

[4]Combined metabolomics and proteomics to reveal beneficial mechanisms of Dendrobium fimbriatum against gastric mucosal injury. Sun, Jing,Liu, Peng-Fei,Liu, Jia-Ni,Lu, Cong,Tong, Li-Tao,Wang, Yong-Quan,Liu, Jia-Meng,Fan, Bei,Wang, Feng-Zhong. 2022

[5]Application of omics technology in the research on edible fungi. Cao L.,Zhang Q.,Miao R.,Lin J.,Feng R.,Ni Y.,Li W.,Yang D.,Zhao X.. 2023

[6]Metabolomics combined with proteomics provides a novel interpretation of the compound differences among Chinese tea cultivars (Camellia sinensis var. sinensis) with different manufacturing suitabilities. Dan Chen,Zhen Sun,Jianjian Gao,Jiakun Peng,Zhe Wang,Yanni Zhao,Zhi Lin,Weidong Dai. 2022

[7]A comprehensive study of the differences in protein expression and chemical constituents in tea leaves (Camellia sinensis var. sinensis) with different maturity using a combined proteomics and metabolomics method. Zhen Sun,Dan Chen,Liyao Zhu,Yanni Zhao,Zhi Lin,Xianzhen Li,Weidong Dai. 2022

[8]Metabolomics and proteomics reveal the molecular basis of colour formation in the pericarp of Chinese wild rice (Zizania latifolia). Yu X.,Qi Q.,Li Y.,Li N.,Xie Y.,Ding A.,Shi J.,Du Y.,Liu X.,Zhang Z.,Yan N.. 2022

[9]Gibberellins inhibit flavonoid biosynthesis and promote nitrogen metabolism in medicago truncatula. Hao Sun,Huiting Cui,Jiaju Zhang,Junmei Kang,Zhen Wang,Mingna Li,Fengyan Yi,Qingchuan Yang,Ruicai Long. 2021

[10]Advances in “Omics” Approaches for Improving Toxic Metals/Metalloids Tolerance in Plants. Ali Raza,Javaria Tabassum,Zainab Zahid,Sidra Charagh,Shanza Bashir,Rutwik Barmukh,Rao Sohail Ahmad Khan,Fernando Barbosa,Chong Zhang,Hua Chen,Weijian Zhuang,Rajeev K. Varshney. 2022

[11]Revealing the difference of α-amylase and CYP6AE76 gene between polyphagous Conogethes punctiferalis and oligophagous C. pinicolalis by multiple-omics and molecular biological technique. Jing D.,Prabu S.,Zhang T.,Bai S.,He K.,Zhang Y.,Wang Z.. 2022

[12]Multi-Omics Uncover Neonatal Cecal Cell Development Potentials. Liang Chen,Qingshi Meng,Shen Li,Yue Jiang,Cong Zhang,Shanlong Tang,Ruqing Zhong,Xiangfang Tang,Sheng Zhang,Xiaohui Feng,Yong Zhao,Hongfu Zhang. 2022

[13]Identification of allergens and allergen hydrolysates by proteomics and metabolomics: A comparative study of natural and enzymolytic bee pollen. Yuxiao Tao,Shuting Yin,Linglin Fu,Miao Wang,Lifeng Meng,Fukai Li,Xiaofeng Xue,Liming Wu,Qiangqiang Li. 2022

[14]Integrating Transcriptomics, Proteomics, and Metabolomics to Investigate the Mechanism of Fetal Placental Overgrowth in Somatic Cell Nuclear Transfer Cattle. Xiaoyu Zhao,Shanshan Wu,Yuan Yun,Zhiwen Du,Shuqin Liu,Chunjie Bo,Yuxin Gao,Lei Yang,Lishuang Song,Chunling Bai,Guanghua Su,Guangpeng Li. 2024

[15]Glucose restriction enhances oxidative fiber formation: A multi-omic signal network involving AMPK and CaMK2. Zhang K.,Xie N.,Ye H.,Miao J.,Xia B.,Yang Y.,Peng H.,Xu S.,Wu T.,Tao C.,Ruan J.,Wang Y.,Yang S.. 2024

[16]Integrated liver proteomics and metabolomics identify metabolic pathways affected by pantothenic acid deficiency in Pekin ducks. Jing Tang,Yongbao Wu,Bo Zhang,Suyun Liang,Zhanbao Guo,Jian Hu,Zhengkui Zhou,Ming Xie,Shuisheng Hou. 2022

[17]Cell type-specific proteomics uncovers a RAF15-SnRK2.6/OST1 kinase cascade in guard cells. Wang, Hongliang,Wang, Yubei,Sang, Tian,Lin, Zhen,Li, Rongxia,Ren, Weiwei,Shen, Xin,Zhao, Bing,Wang, Xiao,Zhang, Xuebin,Zhou, Shaoqun,Dai, Shaojun,Hu, Honghong,Song, Chun-Peng,Wang, Pengcheng. 2023

[18]Multi-Omics Approaches for Liver Reveal the Thromboprophylaxis Mechanism of Aspirin Eugenol Ester in Rat Thrombosis Model. Tao Q.,Ma N.,Fan L.,Ge W.,Zhang Z.,Liu X.,Li J.,Yang Y.. 2024

[19]Multi-omics analysis of the effects of low-temperature storage on chilling injury of bitter gourd. Hongwei Wang,Ling Li,Da Wen Sun,Lili Ma,Lichun Han,Xuelian He,Qing Wang,Christopher B. Watkins,Jinhua Zuo,Yanyan Zheng. 2024

[20]Editorial: Genetically deciphering the adaptive growth and development of photosynthetic organisms: a holistic omics approach. Dongli He,Maoteng Li,Jiangxin Wang,Xin Wang. 2024

作者其他论文 更多>>