Integrated Physiological, Transcriptomic, and Metabolomic Analyses of the Response of Peach to Nitrogen Levels during Different Growth Stages
文献类型： 外文期刊
作者： Zhang, Yu 1 ; Guo, Jiying 1 ; Ren, Fei 1 ; Jiang, Quan 1 ; Zhou, Xin 4 ; Zhao, Jianbo 1 ; Liu, Xin 1 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Inst Forestry & Pomol, Beijing 100093, Peoples R China
2.Minist Agr & Rural Affairs, Key Lab Biol & Genet Improvement Hort Crops North, Beijing 100093, Peoples R China
3.Beijing Engn Res Ctr Deciduous Fruit Trees, Beijing 100093, Peoples R China
4.China Agr Univ, Coll Hort, Dept Pomol, Beijing 100193, Peoples R China
关键词： peach; nitrogen supply levels; growth period; transcriptome analysis; metabolome analysis
期刊名称：INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES （ 影响因子：6.208； 五年影响因子：6.628 ）
ISSN：
年卷期： 2022 年 23 卷 18 期
页码：
收录情况： SCI
摘要： This study performed physiological, transcriptome, and metabolite analyses of peach fruit under different nitrogen (N) conditions at different growth stages. Nitrogen management directly affected the yield, fruit quality, and metabolites of peach in different growth stages. Different fertilizing time influenced yield and leaf N concentration. RNA-Seq was used to analyze the influence of N levels at the fruit pit hardening (PH) and fruit expansion (FE) stages. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed differentially expressed genes (DEGs) related to carbon and nitrogen metabolite processes. Metabolome analysis shows that applying different nitrogen fertilizers at different growth stages of peach mainly affected metabolites related to carbon and amino acids. This research provides insight into the metabolic processes underlying different N responses during different growth stages and provides a foundation to improve the efficiency of N use in peach.
- 相关文献
作者其他论文 更多>>
-
Advancements in Utilizing Image-Analysis Technology for Crop-Yield Estimation
作者：Yu, Feng;Xiao, Jun;Yu, Feng;Wang, Ming;Zhang, Qian;Zhang, Jinmeng;Liu, Xin;Ping, Yang;Luan, Rupeng
关键词：remote sensing images; visible light images; machine learning; deep learning; biomass; yield calculation
-
Calmodulin-like protein MdCML15 interacts with MdBT2 to modulate iron homeostasis in apple
作者：Liu, Xiao-Juan;Liu, Xin;Zhao, Qiang;Dong, Yuan-Hua;Yao, Yu-Xin;You, Chun-Xiang;Kang, Hui;Wang, Xiao-Fei;Liu, Xiao-Juan;Xue, Yuan;Liu, Xin;Zhao, Qiang;Liu, Qiangbo
关键词：
-
Determination of lead content in oilseed rape leaves in silicon-free and silicon environments based on deep transfer learning and fluorescence hyperspectral imaging
作者：Zhou, Xin;Zhao, Chunjiang;Sun, Jun;Cheng, Jiehong;Xu, Min;Zhao, Chunjiang;Zhao, Chunjiang
关键词：Stacked convolution auto-encoder; Deep transfer learning; Silicon environment; Lead; Nondestructive testing
-
In vivo haploid induction in cauliflower, kale, and broccoli
作者：Wang, Guixiang;Zong, Mei;Han, Shuo;Zhao, Hong;Duan, Mengmeng;Liu, Xin;Guo, Ning;Liu, Fan
关键词：
-
Detection of lead content in oilseed rape leaves and roots based on deep transfer learning and hyperspectral imaging technology
作者：Zhou, Xin;Zhao, Chunjiang;Sun, Jun;Yao, Kunshan;Xu, Min;Zhao, Chunjiang;Zhao, Chunjiang
关键词：Hyperspectral image; Deep learning; Transfer learning; Oilseed rape; Heavy metal
-
Allelic variation in transcription factor PtoWRKY68 contributes to drought tolerance in Populus
作者：Fang, Yuanyuan;Wang, Dan;Xiao, Liang;Quan, Mingyang;Qi, Weina;Song, Fangyuan;Zhou, Jiaxuan;Qin, Shitong;Du, Qingzhang;Zhang, Deqiang;Fang, Yuanyuan;Wang, Dan;Xiao, Liang;Quan, Mingyang;Qi, Weina;Song, Fangyuan;Zhou, Jiaxuan;Qin, Shitong;Du, Qingzhang;Zhang, Deqiang;Liu, Xin;Liu, Qing;El-Kassaby, Yousry A.
关键词：
-
Apple inflorescence recognition of phenology stage in complex background based on improved YOLOv7
作者：Chen, Jincheng;Ma, Benxue;Liu, Xin;Li, Yujie;Chen, Jincheng;Ji, Chao;Zhang, Jing;Ma, Benxue;Feng, Qingchun;Ma, Benxue
关键词：Phenology; Apple inflorescence; Deep learning; YOLOv7; Target recognition
