Literature DB >> 27380366

Developmental changes in carbon and nitrogen metabolism affect tea quality in different leaf position.

Zhi-Xin Li1, Wei-Jun Yang2, Golam Jalal Ahammed3, Chen Shen1, Peng Yan4, Xin Li5, Wen-Yan Han6.   

Abstract

Leaf position represents a specific developmental stage that influences both photosynthesis and respiration. However, the precise relationships between photosynthesis and respiration in different leaf position that affect tea quality are largely unknown. Here, we show that the effective quantum yield of photosystem II [ΦPSⅡ] as well as total chlorophyll concentration (TChl) of tea leaves increased gradually with leaf maturity. Moreover, respiration rate (RR) together with total nitrogen concentration (TN) decreased persistently, but total carbon remained unchanged during leaf maturation. Analyses of major N-based organic compounds revealed that decrease in TN was attributed to a significant decrease in the concentration of caffeine and amino acids (AA) in mature leaves. Furthermore, soluble sugar (SS) decreased, but starch concentration increased with leaf maturity, indicating that source-sink relationship was altered during tea leaf development. Detailed correlation analysis showed that ΦPSⅡ was negatively correlated with RR, SS, starch, tea polyphenol (TP), total catechins and TN, but positively correlated with TChl; while RR was positively correlated with TN, SS, TP and caffeine, but negatively correlated with TChl and starch concentrations. Our results suggest that biosynthesis of chlorophyll, catechins and polyphenols is closely associated with photosynthesis and respiration in different leaf position that greatly influences the relationship between primary and secondary metabolism in tea plants.
Copyright © 2016 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Amino acids; Caffeine; Camellia sinensis; Leaf position; Photosynthesis; Respiration; Tea polyphenol

Mesh:

Substances:

Year:  2016        PMID: 27380366     DOI: 10.1016/j.plaphy.2016.06.027

Source DB:  PubMed          Journal:  Plant Physiol Biochem        ISSN: 0981-9428            Impact factor:   4.270


  6 in total

1.  Quality assessment of fresh tea leaves by estimating total polyphenols using near infrared spectroscopy.

Authors:  Ajanto Kumar Hazarika; Somdeb Chanda; Santanu Sabhapondit; Sandip Sanyal; Pradip Tamuly; Sahnaz Tasrin; Dilip Sing; Bipan Tudu; Rajib Bandyopadhyay
Journal:  J Food Sci Technol       Date:  2018-09-17       Impact factor: 2.701

2.  Stimulation in primary and secondary metabolism by elevated carbon dioxide alters green tea quality in Camellia sinensis L.

Authors:  Xin Li; Lan Zhang; Golam Jalal Ahammed; Zhi-Xin Li; Ji-Peng Wei; Chen Shen; Peng Yan; Li-Ping Zhang; Wen-Yan Han
Journal:  Sci Rep       Date:  2017-08-11       Impact factor: 4.379

3.  Spatial changes in leaf biochemical profile of two tea cultivars following cold storage under two different vapour pressure deficit (VPD) conditions.

Authors:  Emma R Collings; M Carmen Alamar; Sally Redfern; Katherine Cools; Leon A Terry
Journal:  Food Chem       Date:  2018-10-22       Impact factor: 7.514

4.  Insights into Tissue-specific Specialized Metabolism in Tieguanyin Tea Cultivar by Untargeted Metabolomics.

Authors:  Si Chen; Jun Lin; Huihui Liu; Zhihong Gong; Xiaxia Wang; Meihong Li; Asaph Aharoni; Zhenbiao Yang; Xiaomin Yu
Journal:  Molecules       Date:  2018-07-21       Impact factor: 4.411

5.  Carbon and Nitrogen Metabolism Are Jointly Regulated During Shading in Roots and Leaves of Camellia Sinensis.

Authors:  Chenyu Shao; Haizhen Jiao; Jiahao Chen; Chenyu Zhang; Jie Liu; Jianjiao Chen; Yunfei Li; Jing Huang; Biao Yang; Zhonghua Liu; Chengwen Shen
Journal:  Front Plant Sci       Date:  2022-04-15       Impact factor: 5.753

6.  Fine mapping of a leaf flattening gene Bralcm through BSR-Seq in Chinese cabbage (Brassica rapa L. ssp. pekinensis).

Authors:  Meidi Zhang; Shengnan Huang; Yue Gao; Wei Fu; Gaoyang Qu; Yonghui Zhao; Fengyan Shi; Zhiyong Liu; Hui Feng
Journal:  Sci Rep       Date:  2020-08-18       Impact factor: 4.379

  6 in total

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