Juan Wang

Dr. Juan Wang


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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5 September 2022 in Genes
Verified
Journal Article
Open access
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HZHongYe Zhang
HongYe Zhang
SZShan Zhang
Shan Zhang
MLMeng Li
Meng Li
JWJuan Wang
Juan Wang
TWtian wu
tian wu
The tree peony (Paeonia ostii ‘Feng Dan Bai’) has excellent drought tolerance. Although it has already been reported that the cuticle is an essential barrier against drought stress, the critical genes for cuticle resistance to drought remain unclear. However, the long-chain acyl-CoA synthetases (LACS) family of genes may be significant for the synthesis of cuticle wax. To test whether the LACS gene family is involved in cuticle response to drought stress in tree peony, we measure the thickness of cuticle stems and leaves alongside LACS enzyme activity. It is found that the cuticle thickens and the LACS enzyme increases with the maturation of stems and leaves, and there is a positive correlation between them. The LACS enzyme increases within 12 h under drought stress induced by polyethylene glycol (PEG). The transcriptome sequencing result (BioProject accession number PRJNA317164) is searched for, and a LACS gene with high expression is cloned. This gene has high homology and similarity with LACS4 from Arabidopsis thaliana. The gene is named PoLACS4. It is show to be highly expressed in mature leaves and peaks within 1 h under drought and salt stresses. All these results suggest that the LACS family of genes may be involved in cuticle response to drought stress and that PoLACS4 is a crucial gene which responds rapidly to drought in the tree peony.

7 May 2022 in Molecules
Verified
Journal Article
Open access
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XYXiao Yu
Xiao Yu
HZHuaibi Zhang
Huaibi Zhang
JWJuan Wang
Juan Wang
JWJunming Wang
Junming Wang
ZhenXing WangZhenXing Wang
ZhenXing Wang
JLJinbo Li
Jinbo Li
Essential oils were extracted from dark-purple, red and yellow petals of Paeonia delavayi using Supercritical Carbon Dioxide method. The compositions of essential oils were analyzed using gas chromatography-mass spectrometry (GC-MS). Antioxidant activity assays were carried out using DPPH, ABTS- and FRAP methods. Total polyphenols and total flavonoids were measured to evaluate the in vitro antioxidant activity in addition to the volatile compounds contained in the essential oils extracted from the flower petals of P. delavayi with the three flower colors. A total of 194 compounds were detected from essential oils of P. delavayi flowers, including 83 in dark-purple petals, 90 in red petals and 80 in yellow petals. These compounds mainly include alcohols, aldehydes, ketones, alkenes, alkanes, esters and polyphenols. The results showed that the volatile compounds accumulated differentially among the essential oils from the different colors of flower petals. Principal component analysis (PCA) indicated that essential oils derived from dark-purple and red petals were more closely clustered while the yellow petal essential oil was very different with both the purple-red and red. Antioxidant assays suggested that the radical scavenging activity and the iron reduction antioxidant activity in the essential oils were highly correlated with the flower petal colors. These results suggest P. delavayi flower petals are potentially good resources for high quality essential oils and natural antioxidants.

8 March 2026 in Diversity
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Journal Article
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SLSiqi Liu
Siqi Liu
LLLiHuiYao LI
LiHuiYao LI
JWJuan Wang
Juan Wang
CDChun Du
Chun Du
YPYue Pan
Yue Pan
JLJin Li
Jin Li
Paeonia delavayi displays exceptionally diverse flower colors. This study established a quantitative classification system for these colors and analyzed the relationships among pigment composition, content, and geographical distribution, providing a scientific basis for genetic diversity conservation and ornamental peony breeding. Petals from 465 plants across 30 wild populations and nurseries in central and northwestern Yunnan, China, were analyzed. Color values were quantified using CIE-Lab and Munsell color systems, while pigment content was determined using HPLC and spectrophotometry. Correlations between color values, pigments, and environmental factors were examined. The results were as follows: (1) Flower colors were classified into nine color series, each with distinct boundaries in the color value space: white (W), yellow (Y), yellow-green (YG), orange (O), orange-brown (OB), pink (P), red (R), purple-red (PR), and dark purple (DP). (2) Color values showed wide variation (a*: −23.10–65.54; b*: −4.11–94.26), indicating high diversity. (3) Yellow-category petals had high b* values (24.91–94.26), correlated with carotenoid, chlorophyll, and flavonoid content, and lacked anthocyanins. The lightness value (L*) of red-category petals was correlated with total flavonoid (TF) and total anthocyanin (ACN) content. (4) Correlation analysis showed that the formation of dark-flower colors (DP, PR, R) was significantly and positively correlated with high altitude, high soil organic carbon (SOC), and high soil total nitrogen (STN) content. The distribution of yellow-series flower colors (Y, YG) was correlated with lower altitude and weaker UV radiation, while increasing mean annual temperature (MAT) limited their distribution. (5) Analysis incorporating environmental factors showed that high-altitude areas in northwestern Yunnan, such as Shangri-La and Lijiang, had the richest flower color diversity, whereas central Yunnan’s low-altitude areas were dominated by yellow flower colors. This study indicates that the high-altitude areas of northwestern Yunnan represent the region with the richest flower color diversity in P. delavayi, and are important for the conservation of its flower color genetic diversity and as a source of genetic diversity in flower color in ornamental cultivar breeding.

16 May 2026 in Plants
Verified
Journal Article
Open access
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HTHaizhen Tong
Haizhen Tong
GHGuiqing He
Guiqing He
SLShuang Li
Shuang Li
YHYunfei Huang
Yunfei Huang
YPYue Pan
Yue Pan
JWJuan Wang
Juan Wang
Controlled-release fertilizer (CRF) improves fertilizer-use efficiency through sustained nutrient release, but its rate-dependent effects on the growth and physiology of Paeonia delavayi seedlings remain unclear. In this study, germinated seeds of P. delavayi with radicles 3–4 cm in length were grown under container nursery conditions with four CRF application rates: control (CK, 0 kg·m−3), treatment 1 (T1, 0.6 kg·m−3), treatment 2 (T2, 1.2 kg·m−3), and treatment 3 (T3, 2.4 kg·m−3). Morphological traits, root characteristics, biomass accumulation, physiological parameters, and chlorophyll fluorescence were evaluated, and Pearson correlation and fuzzy membership analyses were used to compare overall treatment performance within the tested range. CRF significantly promoted seedling height, leaf number, petiole length, and biomass accumulation, although the promoting effect did not increase continuously with fertilizer rate. By June, seedling height in T2 was 160% greater than that in CK, while aboveground biomass increased by 552% and 574% in T2 and T3, respectively. Root morphological traits were not significantly affected, suggesting that CRF primarily promoted aboveground development and biomass production. Medium and high CRF rates increased leaf superoxide dismutase (SOD) activity by 42% and 103%, respectively, and peroxidase (POD) activity by 163% and 250%, respectively. Aboveground starch content was 45% higher in T2 than in CK. In contrast, photosynthetic pigment contents and the chlorophyll a/b ratio were not significantly affected by CRF. Chlorophyll fluorescence analysis showed that Fv/Fm remained stable among CRF treatments (0.78–0.82) and was significantly higher than that in CK (0.65), whereas the actual quantum yield of PSII [Y(II)] did not differ significantly among treatments. Relative to CK, the quantum yield of non-photochemical quenching [Y(NPQ)] increased from 0.20 to 0.40 in T2, while the quantum yield of non-regulated energy dissipation in PSII [Y(NO)] decreased from 0.37 to 0.24–0.22 in T2–T3. Pearson correlation and fuzzy membership analyses ranked the treatments as T2 > T3 > T1 > CK, indicating that T2 performed most favorably within the tested range, although its advantage over T3 was small. Overall, an appropriate CRF rate promoted P. delavayi seedling growth and was associated with changes in biomass accumulation, antioxidant enzyme activity, carbon assimilate storage, and chlorophyll fluorescence parameters.