Zhuanjian Li

Dr. Zhuanjian Li

College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, China
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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30 July 2021 in Molecular Biology and Evolution
Verified
Journal Article
Open access
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KWKejun Wang
Kejun Wang
HHHaifei Hu
Haifei Hu
YTYadong Tian
Yadong Tian
JLJingyi Li
Jingyi Li
ASArmin Scheben
Armin Scheben
XKXiangtao Kang
Xiangtao Kang
Domestication and breeding have reshaped the genomic architecture of chicken, but the retention and loss of genomic elements during these evolutionary processes remain unclear. We present the first chicken pan-genome constructed using 664 individuals, which identified an additional approximately 66.5-Mb sequences that are absent from the reference genome (GRCg6a). The constructed pan-genome encoded 20,491 predicated protein-coding genes, of which higher expression levels are observed in conserved genes relative to dispensable genes. Presence/absence variation (PAV) analyses demonstrated that gene PAV in chicken was shaped by selection, genetic drift, and hybridization. PAV-based genome-wide association studies identified numerous candidate mutations related to growth, carcass composition, meat quality, or physiological traits. Among them, a deletion in the promoter region of IGF2BP1 affecting chicken body size is reported, which is supported by functional studies and extra samples. This is the first time to report the causal variant of chicken body size quantitative trait locus located at chromosome 27 which was repeatedly reported. Therefore, the chicken pan-genome is a useful resource for biological discovery and breeding. It improves our understanding of chicken genome diversity and provides materials to unveil the evolution history of chicken domestication.

1 January 2024 in Zoological Research
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Journal Article
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DLDong Leng
Dong Leng
BZBo Zeng
Bo Zeng
TWTao Wang
Tao Wang
BCBinlong Chen
Binlong Chen
DLDiyan Li
Diyan Li
ZLZhuanjian Li
Zhuanjian Li
The hypothalamic-pituitary-ovarian (HPO) axis represents a central neuroendocrine network essential for reproductive function. Despite its critical role, the intrinsic heterogeneity within the HPO axis across vertebrates and the complex intercellular interactions remain poorly defined. This study provides the first comprehensive, unbiased, cell type-specific molecular profiling of all three components of the HPO axis in adult Lohmann layers and Liangshan Yanying chickens. Within the hypothalamus, pituitary, and ovary, seven, 12, and 13 distinct cell types were identified, respectively. Results indicated that the pituitary adenylate cyclase activating polypeptide (PACAP), follicle-stimulating hormone (FSH), and prolactin (PRL) signaling pathways may modulate the synthesis and secretion of gonadotropin-releasing hormone (GnRH), FSH, and luteinizing hormone (LH) within the hypothalamus and pituitary. In the ovary, interactions between granulosa cells and oocytes involved the KIT, CD99, LIFR, FN1, and ANGPTL signaling pathways, which collectively regulate follicular maturation. The SEMA4 signaling pathway emerged as a critical mediator across all three tissues of the HPO axis. Additionally, gene expression analysis revealed that relaxin 3 (RLN3), gastrin-releasing peptide (GRP), and cocaine- and amphetamine regulated transcripts (CART, also known as CARTPT) may function as novel endocrine hormones, influencing the HPO axis through autocrine, paracrine, and endocrine pathways. Comparative analyses between Lohmann layers and Liangshan Yanying chickens demonstrated higher expression levels of GRP, RLN3, CARTPT, LHCGR, FSHR, and GRPR in the ovaries of Lohmann layers, potentially contributing to their superior reproductive performance. In conclusion, this study provides a detailed molecular characterization of the HPO axis, offering novel insights into the regulatory mechanisms underlying reproductive biology.

1 February 2019 in Poultry Science
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Journal Article
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WLWenya Li
Wenya Li
DLDanli Liu
Danli Liu
STShuqi Tang
Shuqi Tang
DLDonghua Li
Donghua Li
RHRuili Han
Ruili Han
ZLZhuanjian Li
Zhuanjian Li
Many studies have reported that cyclin-dependent kinase inhibitor 3 (CDKN3) is involved in the cell cycle. However, the function of CDKN3 has not bee

14 August 2024 in Journal of Genetics and Genomics
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Journal Article
Open access
TWTao Wang
Tao Wang
DLDong Leng
Dong Leng
ZCZhongkun Cai
Zhongkun Cai
BCBinlong Chen
Binlong Chen
JLJing Li
Jing Li
ZLZhuanjian Li
Zhuanjian Li
Avian ovaries develop asymmetrically apart from prey birds, with only the left ovary growing more towards functional organs. Here, we analyze over 135,000 cells from chick's left and right ovaries at six distinct embryonic developmental stages utilizing single-cell transcriptome sequencing. We delineate gene expression patterns across 15 cell types within these embryo ovaries, revealing side-specific development. The left ovaries exhibit cortex cells, zygotene germ cells, and transcriptional changes unique to the left side. Differential gene expression analysis further identifies specific markers and pathways active in these cell types, highlighting the asymmetry in ovarian development. A fine-scale analysis of the germ cell meiotic transcriptome reveals seven distinct clusters with gene expression patterns specific to various meiotic stages. The study also identifies signaling pathways and intercellular communications, particularly between pre-granulosa and germ cells. Spatial transcriptome analysis shows the asymmetry, demonstrating cortex cells exclusively in the left ovary, modulating neighboring cell types through putative secreted signaling molecules. Overall, this single-cell analysis provides insights into the molecular mechanisms of the asymmetric development of avian ovaries, particularly the significant role of cortex cells in the left ovary.

7 June 2019 in Cells
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Journal Article
Open access
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GSGuirong Sun
Guirong Sun
FLFang Li
Fang Li
XMXiangfei Ma
Xiangfei Ma
JSJunwei Sun
Junwei Sun
RJRuirui Jiang
Ruirui Jiang
WLWenting Li
Wenting Li
Intramuscular fat (IMF) is the most important evaluating indicator of chicken meat quality, the content of which is positively correlated with tenderness, flavor, and succulence of the meat. Chicken IMF deposition process is regulated by many factors, including genetic, nutrition, and environment. Although large number of omics’ studies focused on the IMF deposition process, the molecular mechanism of chicken IMF deposition is still poorly understood. In order to study the role of miRNAs in chicken intramuscular adipogenesis, the intramuscular adipocyte differentiation model (IMF-preadipocytes and IMF-adipocytes) was established and subject to miRNA-Seq. A total of 117 differentially expressed miRNAs between two groups were obtained. Target genes prediction and functional enrichment analysis revealed that eight pathways involved in lipid metabolism related processes, such as fatty acid metabolism and fatty acid elongation. Meanwhile a putative miRNA, gga-miR-18b-3p, was identified be served a function in the intramuscular adipocyte differentiation. Luciferase assay suggested that the gga-miR-18b-3p targeted to the 3′UTR of ACOT13. Subsequent functional experiments demonstrated that gga-miR-18b-3p acted as an inhibitor of intramuscular adipocyte differentiation by targeting ACOT13. Our findings laid a new theoretical foundation for the study of lipid metabolism, and also provided a potential target to improve the meat quality in the poultry industry.

15 December 2017 in Oncotarget
Verified
Journal Article
Open access
XZXiaoyan Zhang
Xiaoyan Zhang
SZSihuan Zhang
Sihuan Zhang
LMLin Ma
Lin Ma
EJEnhui Jiang
Enhui Jiang
HXHan Xu
Han Xu
XLXianyong Lan
Xianyong Lan
Reduced representation bisulfite sequencing (RRBS) of dairy goat mammary glands reveals DNA methylation profiles of integrated genome-wide and critical milk-related genes Reduced representation bisulfite sequencing (RRBS) of dairy goat mammary glands reveals DNA methylation profiles of integrated genome-wide and critical milk-related genes