Evidence map›Paper›PMID 28852881›Full record

ArticleMolecular genetics and genomics : MGG2018

iTRAQ-based proteomics monitors the withering dynamics in postharvest leaves of tea plant (Camellia sinensis).

Zhi-Jun Wu, Hong-Yu Ma, Jing Zhuang

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Article in Molecular genetics and genomics : MGG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

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14citing papers in PubMed
–field-weighted citation impact
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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  8. Identification and Expression Analysis ofFrontiers in plant science · 2022
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Zhi-Jun WuTea Science Research Institute, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Hong-Yu MaCollege of Plant Protection, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Jing ZhuangTea Science Research Institute, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China. zhuangjing@njau.edu.cn.

Funding

National Natural Science Foundation of China 31570691
6 · The paper itself

Abstract

Tea plant [Camellia sinensis (L.) O. Kuntze] is a typical leaf-type beverage crop. Many secondary metabolites, such as tea polyphenols, theanine, and caffeine that accumulated in tea leaves are beneficial to human health. The fresh leaves of tea plant are harvested and timely processed into tea products with different flavors. The withering of fresh tea leaves is the first step in tea processing and directly affects tea color, taste, and fragrance. To understand the molecular mechanism that influences tea quality during withering, we investigated the dynamic changes in the proteome of postharvest tea leaves in four withering stages (0, 1, 4, and 12 h treatments). A total of 863 unique differentially expressed proteins (DEPs) were identified by iTRAQ. The up- and down-regulated DEPs and the protein-protein interaction networks in different samples presented dynamic changes in their characteristics. The results of the functional annotation revealed that the molecular characteristics of tea withering are similar to leaf senescence. The biosynthesis of main tea-specific compounds that constitute tea color, taste, and fragrance of tea is restricted during withering. The substance transformation and degradation may have positive contributions to tea quality in withering technology. The proteome dynamics can be a useful aid for understanding the withering mechanisms and providing available information for functional discovery of proteins in the future.

Indexed as

ProteomicsCaffeineCamellia sinensisGene Expression Regulation, PlantGlutamatesHumansPlant LeavesPlant ProteinsCaffeineGlutamatesPlant ProteinstheanineiTRAQLeavesPostharvestProteomeTea plantWithering

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.