Yanni Liu

Dr. Yanni Liu


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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1 June 2023 in Plant Physiology and Biochemistry
Verified
Journal Article
Closed access
NTNing Tang
Ning Tang
PWPeiyin Wu
Peiyin Wu
ZCZhengyan Cao
Zhengyan Cao
YLYanni Liu
Yanni Liu
XZXian Zhang
Xian Zhang
ZCZexiong Chen
Zexiong Chen


13 May 2025 in Plant Science
Verified
Journal Article
Closed access
YLYanni Liu
Yanni Liu
JLJuan Lou
Juan Lou
GLGuohua Liu
Guohua Liu
QLQingqing Li
Qingqing Li
ZCZhengyan Cao
Zhengyan Cao
ZCZexiong Chen
Zexiong Chen

7 June 2023 in Notulae Botanicae Horti Agrobotanici Cluj-Napoca
Verified
Journal Article
Open access
PDF file
ZCZhengyan Cao
Zhengyan Cao
NTNing Tang
Ning Tang
ZCZexiong Chen
Zexiong Chen
PWPeiyin Wu
Peiyin Wu
JZJiarui Zheng
Jiarui Zheng
FXFeng Xu
Feng Xu
Ginger (Zingiber officinale Roscoe) is an important vegetable with medicinal value. Rhizome development determines ginger yield and quality. However, little information is available about the molecular features underlying rhizome expansion and maturation. In this study, we investigated anatomy characteristics, lignin accumulation and transcriptome profiles during rhizome development. In young rhizomes, the vascular bundle (VB) was generated with only vessels in it, whereas in matured rhizomes, three to five layers of fibre bundle in the xylem were formed, resulting in VB enlargement. It indicates VB development favouring rhizome swelling. With rhizome matured, the lignin content was remarkably elevated, thus facilitating tissue lignification. To explore the regulators for rhizome development, nine libraries including ginger young rhizomes (GYR), growing rhizomes (GGR), and matured rhizomes (GMR) were established for RNA-Seq, a total of 1264 transcription factors (TFs) were identified. Among them, 35, 116, and 14 differentially expressed TFs were obtained between GYR and GGR, GYR and GMR, and GGR and GMR, respectively. These TFs were further divided into three categories. Among them, three ZobHLHs (homologs of Arabidopsis LHW and AtbHLH096) as well as one DIVARICATA homolog in ginger might play crucial roles in controlling VB development. Four ZoWRKYs and two ZoNACs might be potential regulators associated with rhizome maturation. Three ZoAP2/ERFs and one ZoARF might participate in rhizome development via hormone signalling. This result provides a molecular basis for rhizome expansion and maturation in ginger.

30 June 2026 in Biology
Verified
Journal Article
Open access
PDF file
YLYanni Liu
Yanni Liu
LWLeng Wang
Leng Wang
MXMingxia Xiao
Mingxia Xiao
JLJiming Long
Jiming Long
HLHaiquan Li
Haiquan Li
ZZZubing Zhang
Zubing Zhang
Moringa, a versatile tree species, has seen an increasing diversification of breeding objectives due to its rich nutritional value and potential applications in ecological restoration. The emergence and integration of multi-omics technologies have provided a revolutionary systems-level research framework for elucidating the fundamental biological mechanisms underlying Moringa’s agronomic traits and nutritional characteristics. This review systematically analyzes the application prospects and omics significance of Moringa based on research trends, and explores in depth the progress made in various omics studies of Moringa: the fourth iteration of the genome has identified specific genes encoding heat shock proteins (HSPs) in Moringa; phenomics reveals differential expression of Moringa under different environmental conditions; and the transcriptomics and metabolomics elucidate differential regulatory networks across different tissues and environments. In the future, multi-omics technologies can be integrated: genomics can further identify rare alleles and localize genetic loci for key agronomic traits; transcriptomics combined with epigenomics can elucidate the spatial regulation of gene expression and epigenetic mechanisms; and proteomics and metabolomics can be integrated to validate pathways and provide targets for improvement. Throughout the process, a high-throughput phenotyping platform utilizing drones will be introduced to dynamically monitor agronomic traits, enabling efficient breeding and accelerating genetic improvement.