Xiaofang Jin

Dr. Xiaofang Jin

orcid

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 June 2018 in PLOS ONE
Verified
Journal Article
Open access
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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.

1 March 2018 in Journal of Proteomics
Verified
Journal Article
Closed access
YLYanli Liu
Yanli Liu
DCDan Cao
Dan Cao
LMLinlong Ma
Linlong Ma
XJXiaofang Jin
Xiaofang Jin
PYPingfang Yang
Pingfang Yang
Chaoling WeiChaoling Wei
Chaoling Wei

1 September 2021 in Plant Physiology and Biochemistry
Verified
Journal Article
Closed access
DCDAN CAO
DAN CAO
YLYanli Liu
Yanli Liu
LMLinlong Ma
Linlong Ma
ZLZhonghua Liu
Zhonghua Liu
JLJuan Li
Juan Li
JHJianan Huang
Jianan Huang

2 October 2019 in TURKISH JOURNAL OF AGRICULTURE AND FORESTRY
Verified
Journal Article
Open access
LMLin-Long Ma
Lin-Long Ma
DCDAN CAO
DAN CAO
YLyanli liu
yanli liu
ZGZi-Ming Gong
Zi-Ming Gong
PLPanpan Liu
Panpan Liu
XJXiaofang Jin
Xiaofang Jin

20 August 2021 in BMC Plant Biology
Verified
Journal Article
Open access
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YLYanli Liu
Yanli Liu
LMLinlong Ma
Linlong Ma
DCDan Cao
Dan Cao
ZGZiming Gong
Ziming Gong
JFJing Fan
Jing Fan
XJXiaofang Jin
Xiaofang Jin
Background: C. sinensis is an important economic crop with fluoride over-accumulation in its leaves, which poses a serious threat to human health due to its leaf consumption as tea. Recently, our study has indicated that cell wall proteins (CWPs) probably play a vital role in fluoride accumulation/detoxification in C. sinensis. However, there has been a lack in CWP identification and characterization up to now. This study is aimed to characterize cell wall proteome of C. sinensis leaves and to develop more CWPs related to stress response. A strategy of combined cell wall proteomics and N-glycoproteomics was employed to investigate CWPs. CWPs were extracted by sequential salt buffers, while N-glycoproteins were enriched by hydrophilic interaction chromatography method using C. sinensis leaves as a material. Afterwards all the proteins were subjected to UPLC-MS/MS analysis. Results: A total of 501 CWPs and 195 CWPs were identified respectively by cell wall proteomics and N-glycoproteomics profiling with 118 CWPs in common. Notably, N-glycoproteomics is a feasible method for CWP identification, and it can enhance CWP coverage. Among identified CWPs, proteins acting on cell wall polysaccharides constitute the largest functional class, most of which might be involved in cell wall structure remodeling. The second largest functional class mainly encompass various proteases related to CWP turnover and maturation. Oxidoreductases represent the third largest functional class, most of which (especially Class III peroxidases) participate in defense response. As expected, identified CWPs are mainly related to plant cell wall formation and defense response. Conclusion: This was the first large-scale investigation of CWPs in C. sinensis through cell wall proteomics and N-glycoproteomics. Our results not only provide a database for further research on CWPs, but also an insight into cell wall formation and defense response in C. sinensis.

5 April 2025 in Foods
Verified
Journal Article
Open access
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ZLZhengfei Luo
Zhengfei Luo
LMLinlong Ma
Linlong Ma
YZYangtao Zhang
Yangtao Zhang
YLYanhong Liu
Yanhong Liu
RYRui Yang
Rui Yang
XJXiaofang Jin
Xiaofang Jin
Drying methods play a crucial role in the formation of green tea aromas. This study investigated the aroma characteristics and volatile component profiles of large-leaf green tea under hot-air drying, pan-fired drying, and sun drying. The results revealed significant differences in the sensory aroma characteristics and volatile components of the large-leaf green tea among the three drying methods. The pan-fire-dried green tea (PDGT) exhibited a distinct roasted aroma, while the hot-air-dried green tea (HDGT) and sun-dried green tea (SDGT) displayed a faint scent and lasting aroma characteristics, with the SDGT additionally featuring a noticeable sun-dried odor. A total of 48 differential volatile components were identified, among which β-Ionone, (E)-β-Ionone, 2,2,6-Trimethylcyclohexanone, Dihydroactinidiolide, BenzeneacetAldehyde, 2-Pentylfuran, 1,1,6-Trimethyl-1,2-dihydronaphthalene, δ-Cadinene, β-Myrcene, Geranylacetone, o-Cymene, 6-Methyl-5-hepten-2-one, (E)-β-Ocimene, and BenzAldehyde were identified as the primary contributors to the aroma differences among the three large-leaf green teas. Additionally, 43 differential volatile compounds were found to be significantly correlated with at least one of the aroma types (floral, sweet, green, faint scent, nutty, or roasted). The findings of this study provide a theoretical foundation for understanding the formation of aroma qualities in large-leaf green tea and offer valuable insights for improving its aromatic characteristics.