Junjie Pan

Dr. Junjie Pan

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

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18 April 2023 in Foods
Verified
Journal Article
Open access
PDF file
YZYuting Zhang
Yuting Zhang
JPJunjie Pan
Junjie Pan
YLYanan Liu
Yanan Liu
XZXin Zhang
Xin Zhang
KCKejun Cheng
Kejun Cheng
More and more evidence has supported the interaction between circadian rhythms and intestinal microbes, which provides new insights into how dietary nutrition can improve host health. Our research showed that Ficus pandurata Hance var. angustifolia Cheng flavonoids (FCF) ameliorated the pathological damage of colon and abnormal intestinal microflora structure in mice with circadian clock disorder and improved their exploration and memory behaviors. Mechanism studies have shown that FCF is involved in regulating metabolic pathways and related metabolites, regulating the expression of related tight junction proteins in the colon and the levels of Aβ and inflammatory factors in the hippocampus. Further analysis found that these metabolites showed a certain correlation with intestinal flora and played a certain role in alleviating intestinal physiological damage and cognitive decline.

23 October 2025 in Foods
Verified
Journal Article
Open access
PDF file
GRGerui Ren
Gerui Ren
LLLei Liu
Lei Liu
MWMiaomiao Wang
Miaomiao Wang
JPJunjie Pan
Junjie Pan
ZWZhoutao Wang
Zhoutao Wang
WCWenliang Cheng
Wenliang Cheng
To reduce the environmental impact of plastic packaging in the fruit supply chain, this study developed an edible natural CH-CS-EGCG coating (collagen hydrolysate-chitosan-epigallocatechin gallate) for mango preservation. The coating was prepared using an optimized CH:CS mass ratio of 1:4 with 3 wt% EGCG, exhibiting enhanced mechanical properties and low water vapor permeability. SEM and FT-IR analyses confirmed the successful incorporation of EGCG into the CH-CS matrix through hydrogen bonding, hydrophobic interactions, and electrostatic forces. The CH-CS-EGCG coating demonstrated superior antioxidant activity: its ABTS radical scavenging capacity and DPPH scavenging capacity were 234% and 422% higher, respectively, than those of the CH-CS coating. It also effectively inhibited bacterial growth, achieving a 92% inhibition rate against Staphylococcus aureus after 24 h of incubation. When applied to mango preservation, the CH-CS-EGCG coating significantly slowed down fruit decay and deterioration, extending the shelf life by 6 days. The CH-CS-EGCG coating offers a promising eco-friendly alternative for fruit preservation, broadening the applications of EGCG and advancing research in edible coatings.

5 August 2025 in Horticulturae
Verified
Journal Article
Open access
PDF file
Wei ChengWei Cheng
Wei Cheng
ZWZhoutao Wang
Zhoutao Wang
FXFu Xu
Fu Xu
YYYang Yingying
Yang Yingying
JFJie Fang
Jie Fang
LXLiping Xu
Liping Xu
Disease resistance is one of the most important target traits for sugarcane genetic improvement. Sugarcane brown stripe (SBS) caused by Helminthosporium stenospilum is one of the most destructive foliar diseases, which not only reduces harvest cane yield but also sugar content. This study aimed to identify quantitative trait loci (QTL) and candidate genes associated with SBS resistance. Here, the phenotypic investigation in six field habitats showed a continuous normal distribution, revealing that the SBS resistance trait is a quantitative trait. Two high-density linkage maps based on the single-dose markers calling from the Axiom Sugarcane100K SNP chip were constructed for the dominant sugarcane cultivars YT93-159 (SBS-resistant) and ROC22 (SBS-susceptible) with a density of 2.53 cM and 2.54 cM per SNP marker, and mapped on 87 linkage groups (LGs) and 80 LGs covering 3069.45 cM and 1490.34 cM of genetic distance, respectively. A total of 32 QTL associated with SBS resistance were detected by QTL mapping, which explained 3.73–11.64% of the phenotypic variation, and the total phenotypic variance explained (PVE) in YT93-159 and ROC22 was 107.44% and 79.09%, respectively. Among these QTL, four repeatedly detected QTL (qSBS-Y38-1, qSBS-Y38-2, qSBS-R8, and qSBS-R46) were considered stable QTL. Meanwhile, two major QTL, qSBS-Y38 and qSBS-R46, could account for 11.47% and 11.64% of the PVE, respectively. Twenty-five disease resistance candidate genes were screened by searching these four stable QTL regions in their corresponding intervals, of which Soffic.01G0010840-3C (PR3) and Soffic.09G0017520-1P (DND2) were significantly up-regulated in YT93-159 by qRT-PCR, while Soffic.01G0040620-1P (EDR2) was significantly up-regulated in ROC22. These results will provide valuable insights for future studies on sugarcane breeding in combating this disease.

27 September 2025 in Plants
Verified
Journal Article
Open access
PDF file
HCHaowei Chen
Haowei Chen
HQHaoyue Qu
Haoyue Qu
JZJunmei Zhou
Junmei Zhou
JPJunjie Pan
Junjie Pan
ZWZhoutao Wang
Zhoutao Wang
KCKejun Cheng
Kejun Cheng
Magnoliids represent one of the most basal lineages within angiosperms, and their ancestral floral morphology provides crucial insights into the evolution of flowers in angiosperms. MCM1-AGAMOUS-DEFICIENS-SRF (MADS)-box transcription factors play crucial roles in specifying floral organs. To understand their evolutionary history and functional divergence in magnoliids, we identified MADS-box genes, and conducted phylogenetic and expression analysis in 33 magnoliids and 8 other angiosperm plants. A total of 1310 MADS-box genes were identified and classified into Type I and Type II. The expansion of MADS-box genes in magnoliids mainly arose from whole-genome duplication events. In Liriodendron chinensis and Chimonanthus praecox, we identified floral homeotic MADS-box genes that are orthologous to the ABCDE model genes of floral organ identity determination. The broad expression pattern of A and B genes in floral organs and overlapping activity of ABCDE-model genes are consistent with the “shifting−fading borders” scheme proposed in basally diverging angiosperm lineages. Our results not only elucidate the driving forces underlying the diversification of MADS-box genes in magnoliids, but also shed light on the evolutionary models of floral development in angiosperms.

24 July 2025 in Preprints.org
Verified
Preprint
Open access
PDF file
Wei ChengWei Cheng
Wei Cheng
ZWZhoutao Wang
Zhoutao Wang
FXFu Xu
Fu Xu
YYYang Yingying
Yang Yingying
JFJie Fang
Jie Fang
LXLiping Xu
Liping Xu
Disease resistance is one of the most important target traits for sugarcane genetic improvement. Sugarcane brown stripe (SBS) caused by Helminthosporium stenospilum is one of the most destructive foliar diseases, which not only reduces harvest cane yield but also sugar content. This study aimed to identify quantitative trait loci (QTL) and candidate genes associated with SBS resistance. Here, the phenotypic investigation in the field of six habitats showed a continuous normal distribution, revealing that the SBS resistance trait was a quantitative trait. Two high-density linkage maps based on the single dose markers calling from the Axiom Sugarcane100K SNP chip were constructed for the dominant sugarcane cultivars YT93-159 (SBS-resistant) and ROC22 (SBS-susceptible) with a density of 2.53 cM and 2.54 cM per SNP marker, and mapped on 87 linkage groups (LGs) and 80 LGs covering 3,069.45 cM and 1,490.34 cM of genetic distance respectively. A total of 32 QTL associated with SBS resistance were detected by QTL mapping, which explained 3.73%–11.64% of the phenotypic variation, and the total of phenotypic variance explained (PVE) in YT93-159 and ROC22 were 107.44% and 79.09%, respectively. Among these QTL, four repeatedly detected QTL (qSBS-Y38-1, qSBS-Y38-2, qSBS-R8, and qSBS-R46) were considered as stable QTL. Meanwhile, two major QTL, qSBS-Y38 and qSBS-R46, could account for 11.47% and 11.64% of the PVE respectively. Twenty-five disease resistance candidate genes were screened by searching these four stable QTL regions in their corresponding intervals, of which Soffic.01G0010840-3C (PR3) and Soffic.09G0017520-1P (DND2) were significantly up-regulated in YT93-159 by qRT-PCR, while Soffic.01G0040620-1P (EDR2) was significantly up-regulated in ROC22. These results will provide insightful information for future studies of sugarcane breeding in combating this disease.