» Articles » PMID: 33931616

Underpinning the Molecular Programming Attributing Heat Stress Associated Thermotolerance in Tea (Camellia Sinensis (L.) O. Kuntze)

Overview
Journal Hortic Res
Date 2021 May 1
PMID 33931616
Citations 13
Authors
Affiliations
Soon will be listed here.
Abstract

The most daunting issue of global climate change is the deleterious impact of extreme temperatures on tea productivity and quality, which has resulted in a quest among researchers and growers. The current study aims to unravel molecular programming underpinning thermotolerance by characterizing heat tolerance and sensitivity response in 20 tea cultivars. The significantly higher negative influence of heat stress was recorded in a sensitive cultivar with reduced water retention (47%), chlorophyll content (33.79%), oxidation potential (32.48%), and increase in membrane damage (76.4%). Transcriptional profiling of most tolerant and sensitive cultivars identified 78 differentially expressed unigenes with chaperon domains, including low and high molecular weight heat shock protein (HSP) and heat shock transcription factors (HSFs) involved in heat shock response (HSR). Further, predicted transcriptional interactome network revealed their key role in thermotolerance via well-co-ordinated transcriptional regulation of aquaporins, starch metabolism, chlorophyll biosynthesis, calcium, and ethylene mediated plant signaling system. The study identified the key role of HSPs (CsHSP90) in regulating HSR in tea, wherein, structure-based molecular docking revealed the inhibitory role of geldanamycin (GDA) on CsHSP90 by blocking ATP binding site at N-terminal domain of predicted structure. Subsequently, GDA mediated leaf disc inhibitor assay further affirmed enhanced HSR with higher expression of CsHSP17.6, CsHSP70, HSP101, and CsHSFA2 genes in tea. Through the current study, efforts were made to extrapolate a deeper understanding of chaperons mediated regulation of HSR attributing thermotolerance in tea.

Citing Articles

Comprehensive review of mapping climate change impacts on tea cultivation: bibliometric and content analysis of trends, influences, adaptation strategies, and future directions.

Ali Abaker Omer A, Zhang C, Liu J, Shan Z Front Plant Sci. 2025; 15:1542793.

PMID: 39925372 PMC: 11802803. DOI: 10.3389/fpls.2024.1542793.


Physiological and Transcriptome Analyses Reveal the Protective Effect of Exogenous Trehalose in Response to Heat Stress in Tea Plant ().

Zheng S, Liu C, Zhou Z, Xu L, Lai Z Plants (Basel). 2024; 13(10).

PMID: 38794411 PMC: 11125205. DOI: 10.3390/plants13101339.


Investigation of heat stress responses and adaptation mechanisms by integrative metabolome and transcriptome analysis in tea plants (Camellia sinensis).

Huang F, Lei Y, Duan J, Kang Y, Luo Y, Ding D Sci Rep. 2024; 14(1):10023.

PMID: 38693343 PMC: 11063163. DOI: 10.1038/s41598-024-60411-0.


Genome-wide transcriptional profiling and physiological investigation elucidating the molecular mechanism of multiple abiotic stress response in Stevia rebaudiana Bertoni.

Pal P, Masand M, Sharma S, Seth R, Singh G, Singh S Sci Rep. 2023; 13(1):19853.

PMID: 37963906 PMC: 10645737. DOI: 10.1038/s41598-023-46000-7.


Comparative transcriptome analysis reveals candidate genes for cold stress response and early flowering in pineapple.

Yow A, Laosuntisuk K, Young R, Doherty C, Gillitt N, Perkins-Veazie P Sci Rep. 2023; 13(1):18890.

PMID: 37919298 PMC: 10622448. DOI: 10.1038/s41598-023-45722-y.


References
1.
Fu L, Niu B, Zhu Z, Wu S, Li W . CD-HIT: accelerated for clustering the next-generation sequencing data. Bioinformatics. 2012; 28(23):3150-2. PMC: 3516142. DOI: 10.1093/bioinformatics/bts565. View

2.
Yu C, Chen Y, Lu C, Hwang J . Prediction of protein subcellular localization. Proteins. 2006; 64(3):643-51. DOI: 10.1002/prot.21018. View

3.
Song L, Ma Q, Zou Z, Sun K, Yao Y, Tao J . Molecular Link between Leaf Coloration and Gene Expression of Flavonoid and Carotenoid Biosynthesis in Cultivar 'Huangjinya'. Front Plant Sci. 2017; 8:803. PMC: 5443146. DOI: 10.3389/fpls.2017.00803. View

4.
Steinegger M, Meier M, Mirdita M, Vohringer H, Haunsberger S, Soding J . HH-suite3 for fast remote homology detection and deep protein annotation. BMC Bioinformatics. 2019; 20(1):473. PMC: 6744700. DOI: 10.1186/s12859-019-3019-7. View

5.
Li H, Huang W, Liu Z, Wang Y, Zhuang J . Transcriptome-Based Analysis of Dof Family Transcription Factors and Their Responses to Abiotic Stress in Tea Plant (). Int J Genomics. 2016; 2016:5614142. PMC: 5107859. DOI: 10.1155/2016/5614142. View