Hui Li

Prof. Hui Li

Northeast Agricultural University
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

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

Representative Publications

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30 September 2014 in PLOS ONE
Verified
Journal Article
Open access
PDF file
ZWZhipeng Wang
Zhipeng Wang
HZHui Zhang
Hui Zhang
HYHua Yang
Hua Yang
SWShouzhi Wang
Shouzhi Wang
EREnguang Rong
Enguang Rong
NWNing Wang
Ning Wang
Genome-wide association studies (GWAS) provide a powerful approach for identifying quantitative trait loci without prior knowledge of location or function. To identify loci associated with wool production traits, we performed a genome-wide association study on a total of 765 Chinese Merino sheep (JunKen type) genotyped with 50 K single nucleotide polymorphisms (SNPs). In the present study, five wool production traits were examined: fiber diameter, fiber diameter coefficient of variation, fineness dispersion, staple length and crimp. We detected 28 genome-wide significant SNPs for fiber diameter, fiber diameter coefficient of variation, fineness dispersion, and crimp trait in the Chinese Merino sheep. About 43% of the significant SNP markers were located within known or predicted genes, including YWHAZ, KRTCAP3, TSPEAR, PIK3R4, KIF16B, PTPN3, GPRC5A, DDX47, TCF9, TPTE2, EPHA5 and NBEA genes. Our results not only confirm the results of previous reports, but also provide a suite of novel SNP markers and candidate genes associated with wool traits. Our findings will be useful for exploring the genetic control of wool traits in sheep.

23 November 2016 in Scientific Reports
Verified
Journal Article
Open access
QHQiangchuan Hou
Qiangchuan Hou
LKLai-Yu Kwok
Lai-Yu Kwok
YZYi Zheng
Yi Zheng
LWLifeng Wang
Lifeng Wang
ZGZhuang Guo
Zhuang Guo
HZHeping Zhang
Heping Zhang
Our study combined 16S rRNA-pyrosequencing and whole genome sequencing to analyze the fecal metagenomes of the divergently selected lean (LL) and fat (FL) line chickens. Significant structural differences existed in both the phylogenic and functional metagenomes between the two chicken lines. At phylum level, the FL group had significantly less Bacteroidetes. At genus level, fourteen genera of different relative abundance were identified, with some known short-chain fatty acid producers (including Subdoligranulum, Butyricicoccus, Eubacterium, Bacteroides, Blautia) and a potentially pathogenic genus (Enterococcus). Redundancy analysis identified 190 key responsive operational taxonomic units (OTUs) that accounted for the structural differences between the phylogenic metagenome of the two groups. Four Cluster of Orthologous Group (COG) categories (Amino acid transport and metabolism, E; Nucleotide transport and metabolism, F; Coenzyme transport and metabolism, H; and Lipid transport and metabolism, I) were overrepresented in LL samples. Fifteen differential metabolic pathways (Biosynthesis of amino acids, Pyruvate metabolism, Nitrotoluene degradation, Lipopolysaccharide biosynthesis, Peptidoglycan biosynthesis, Pantothenate and CoA biosynthesis, Glycosaminoglycan degradation, Thiamine metabolism, Phosphotransferase system, Two-component system, Bacterial secretion system, Flagellar assembly, Bacterial chemotaxis, Ribosome, Sulfur relay system) were identified. Our data highlighted interesting variations between the gut metagenomes of these two chicken lines.

1 September 2011 in Poultry Science
Verified
Journal Article
Open access
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LGL. Guo
L. Guo
BSB. Sun
B. Sun
ZSZ. Shang
Z. Shang
LLL. Leng
L. Leng
YWY. Wang
Y. Wang
HLHui Li
Hui Li
After 13 generations of divergent selection for abdominal fatness, 2 chicken lines (a fat line and a lean line) have been established. To clarify the

27 June 2007 in BMC Genomics
Verified
Journal Article
Open access
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HWHong-Bao Wang
Hong-Bao Wang
HLHui Li
Hui Li
QWQigui Wang
Qigui Wang
XZXin-Yu Zhang
Xin-Yu Zhang
SWShou-Zhi Wang
Shou-Zhi Wang
XWXiu-Ping Wang
Xiu-Ping Wang
Background: Excessive accumulation of lipids in the adipose tissue is a major problem in the present-day broiler industry. However, few studies have analyzed the expression of adipose tissue genes that are involved in pathways and mechanisms leading to adiposity in chickens. Gene expression profiling of chicken adipose tissue could provide key information about the ontogenesis of fatness and clarify the molecular mechanisms underlying obesity. In this study, Chicken Genome Arrays were used to construct an adipose tissue gene expression profile of 7-week-old broilers, and to screen adipose tissue genes that are differentially expressed in lean and fat lines divergently selected over eight generations for high and low abdominal fat weight. Results: The gene expression profiles detected 13,234–16,858 probe sets in chicken adipose tissue at 7 weeks, and genes involved in lipid metabolism and immunity such as fatty acid binding protein (FABP), thyroid hormone-responsive protein (Spot14), lipoprotein lipase(LPL), insulin-like growth factor binding protein 7(IGFBP7) and major histocompatibility complex (MHC), were highly expressed. In contrast, some genes related to lipogenesis, such as leptin receptor, sterol regulatory element binding proteins1 (SREBP1), apolipoprotein B(ApoB) and insulin-like growth factor 2(IGF2), were not detected. Moreover, 230 genes that were differentially expressed between the two lines were screened out; these were mainly involved in lipid metabolism, signal transduction, energy metabolism, tumorigenesis and immunity. Subsequently, real-time RT-PCR was performed to validate fifteen differentially expressed genes screened out by the microarray approach and high consistency was observed between the two methods. Conclusion: Our results establish the groundwork for further studies of the basic genetic control of growth and development of chicken adipose tissue, and will be beneficial in clarifying the molecular mechanism of obesity in chickens.

1 February 2008 in Poultry Science
Verified
Journal Article
Open access
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YWY. Wang
Y. Wang
YMY. Mu
Y. Mu
HLHui Li
Hui Li
NDN. Ding
N. Ding
QWQ. Wang
Q. Wang
NWN. Wang
N. Wang
The peroxisome proliferator-activated receptors (PPAR) are members of the nuclear hormone receptor superfamily. Peroxisome proliferator-activated rec

9 May 2017 in PLOS ONE
Verified
Journal Article
Open access
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WWWei Wang
Wei Wang
TZTianmu Zhang
Tianmu Zhang
CWChunyan Wu
Chunyan Wu
SWShanshan Wang
Shanshan Wang
YWYuxiang Wang
Yuxiang Wang
NWNing Wang
Ning Wang
The chicken is an important agricultural animal and model for developmental biology, immunology and virology. Excess fat accumulation continues to be a serious problem for the chicken industry. However, chicken adipogenesis and obesity have not been well investigated, because no chicken preadipocyte cell lines have been generated thus far. Here, we successfully generated two immortalized chicken preadipocyte cell lines through transduction of either chicken telomerase reverse transcriptase (chTERT) alone or in combination with chicken telomerase RNA (chTR). Both of these cell lines have survived >100 population doublings in vitro, display high telomerase activity and have no sign of replicative senescence. Similar to primary chicken preadipocytes, these two cell lines display a fibroblast-like morphology, retain the capacity to differentiate into adipocytes, and do not display any signs of malignant transformation. Isoenzyme analysis and PCR-based analysis confirmed that these two cell lines are of chicken origin and are free from inter-species contamination. To our knowledge, this is the first report demonstrating the generation of immortal chicken cells by introduction of chTERT and chTR. Our established chicken preadipocyte cell lines show great promise as an in vitro model for the investigation of chicken adipogenesis, lipid metabolism, and obesity and its related diseases, and our results also provide clues for immortalizing other avian cell types.