Guiyi Guo

Prof. Guiyi Guo


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2021 in Food Chemistry
Verified
Journal Article
Closed access
HWHuijun Wang
Huijun Wang
XCXueli Cao
Xueli Cao
ZYZhengfang Yuan
Zhengfang Yuan
GGGuiyi Guo
Guiyi Guo

13 May 2022 in Foods
Verified
Journal Article
Open access
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MSMu-Fang Sun
Mu-Fang Sun
CJChang-Ling Jiang
Chang-Ling Jiang
YKYa-shuai Kong
Ya-shuai Kong
JLJin-Lei Luo
Jin-Lei Luo
PYPeng Yin
Peng Yin
GGGuiyi Guo
Guiyi Guo
Polyphenols, the most abundant components in tea, determine the quality and health function of tea. The analysis of polyphenols in tea is a topic of increasing interest. However, the complexity of the tea matrix, the wide variety of teas, and the difference in determination purposes puts forward higher requirements for the detection of tea polyphenols. Many efforts have been made to provide a highly sensitive and selective analytical method for the determination and characterization of tea polyphenols. In order to provide new insight for the further development of polyphenols in tea, in the present review we summarize the recent literature for the detection of tea polyphenols from the perspectives of determining total polyphenols and individual polyphenols in tea. There are a variety of methods for the analysis of total tea polyphenols, which range from the traditional titration method, to the widely used spectrophotometry based on the color reaction of Folin–Ciocalteu, and then to the current electrochemical sensor for rapid on-site detection. Additionally, the application of improved liquid chromatography (LC) and high-resolution mass spectrometry (HRMS) were emphasized for the simultaneous determination of multiple polyphenols and the identification of novel polyphenols. Finally, a brief outline of future development trends are discussed.

1 June 2018 in PLOS ONE
Verified
Journal Article
Open access
PDF file
DCDAN CAO
DAN CAO
YLYanli Liu
Yanli Liu
LMLinlong Ma
Linlong Ma
XJXiaofang Jin
Xiaofang Jin
GGGuiyi Guo
Guiyi Guo
WLWei Liu
Wei Liu
Tea plant (Camellia sinensis) has strong enrichment ability for selenium (Se). Selenite is the main form of Se absorbed and utilized by tea plant. However, the mechanism of selenite absorption and accumulation in tea plant is still unknown. In this study, RNA sequencing (RNA-seq) was used to perform transcriptomic analysis on the molecular mechanism of selenite absorption and accumulation in tea plant. 397.98 million high-quality reads were obtained and assembled into 168,212 unigenes, 89,605 of which were extensively annotated. There were 60,582 and 1,362 differentially expressed genes (DEGs) in roots and leaves, respectively. RNA-seq results were further validated by quantitative RT-PCR. Based on GO terms, the unigenes were mainly involved in cell, binding and metabolic process. KEGG pathway enrichment analysis showed that predominant pathways included ribosome and protein processing in endoplasmic reticulum. Further analysis revealed that sulfur metabolism, glutathione metabolism, selenocompound metabolism and plant hormone signal transduction responded to selenite in tea plant. Additionally, a large number of genes of higher expressions associated with phosphate transporters, sulfur assimilation, antioxidant enzymes, antioxidant substances and responses to ethylene and jasmonic acid were identified. Stress-related plant hormones might play a signaling role in promoting sulfate/selenite uptake and assimilation in tea plant. Moreover, some other Se accumulation mechanisms of tea plant were found. Our study provides a possibility for controlling Se accumulation in tea plant through bio-technologies and will be helpful for breeding new tea cultivars.

9 March 2021 in Sustainability
Verified
Journal Article
Open access
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HFHaiping Fu
Haiping Fu
HLHuan Li
Huan Li
PYPeng Yin
Peng Yin
HMHuiling Mei
Huiling Mei
JLJianjie Li
Jianjie Li
GGGuiyi Guo
Guiyi Guo
(1) Aims: This study was aimed to investigate the effects of organic and inorganic fertilizer application on the soil nutrients and microbiota in tea garden soil. (2) Method: Illumina Hiseq sequencing technique was conducted to analyze the microbial diversity and density in different fertilizer-applied tea garden soil. (3) Results: The results showed that Acidobacteria, Proteobacteria and Actinobacteria were the predominant bacterial species observed in the tea garden soil. Besides, the relative abundance of Basidiomycota, Ascomycota and Zygomycota fungal species were higher in the tea garden soil. Correlation analysis revealed that Acidibacter and Acidothermus were significantly correlated with chemical properties (such as total organic carbon (TOC), total phosphorus (TP) and available phosphorus (AP) contents) of the tea garden soil. Furthermore, all these microbes were abundant in medium rapeseed cake (MRSC) + green manure (GM) treated tea garden soil. (4) Conclusion: Based on the obtained results, we conclude that the application of MRSC + GM could be a preferred fertilizer to increase the soil nutrients (TOC, TP and AP content) and microbial population in the tea garden soil.

30 October 2021 in Journal of the Science of Food and Agriculture
Verified
Journal Article
Closed access
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JHJinjie Hua
Jinjie Hua
HWHuajie Wang
Huajie Wang
HYHaibo Yuan
Haibo Yuan
PYPeng Yin
Peng Yin
JWJinjin Wang
Jinjin Wang
YJYongwen Jiang
Yongwen Jiang

29 May 2020 in BMC Plant Biology
Verified
Journal Article
Open access
PDF file
XZXuyang Zhang
Xuyang Zhang
WXWenluan Xu
Wenluan Xu
DNDejiang Ni
Dejiang Ni
MWMingle Wang
Mingle Wang
GGGuiyi Guo
Guiyi Guo
Background: Heat stress factors (Hsfs) play vital roles in signal transduction pathways operating in responses to environmental stresses. However, Hsf gene family has not been thoroughly explored in tea plant (Camellia sinensis L.). Results: In this study, we identified 25 CsHsf genes in C. sinensis that were separated by phylogenetic analysis into three sub-families (i.e., A, B, and C). Gene structures, conserved domains and motifs analyses indicated that the CsHsf members in each class were relatively conserved. Various cis-acting elements involved in plant growth regulation, hormone responses, stress responses, and light responses were located in the promoter regions of CsHsfs. Furthermore, degradome sequencing analysis revealed that 7 CsHsfs could be targeted by 9 miRNAs. The expression pattern of each CsHsf gene was significantly different in eight tissues. Many CsHsfs were differentially regulated by drought, salt, and heat stresses, as well as exogenous abscisic acid (ABA) and Ca2+. In addition, CsHsfA2 was located in the nucleus. Heterologous expression of CsHsfA2 improved thermotolerance in transgenic yeast, suggesting its potential role in the regulation of heat stress response. Conclusions: A comprehensive genome-wide analysis of Hsf in C. sinensis present the global identification and functional prediction of CsHsfs. Most of them were implicated in a complex gene regulatory network controlling various abiotic stress responses and signal transduction pathways in tea plants. Additionally, heterologous expression of CsHsfA2 increased thermotolerance of transgenic yeast. These findings provide new insights into the functional divergence of CsHsfs and a basis for further research on CsHsfs functions.