Hemin Ni

Prof. Hemin Ni


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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26 November 2021 in Science Advances
Verified
Journal Article
Open access
XLXukun Lu
Xukun Lu
YZYu Zhang
Yu Zhang
LWLijuan Wang
Lijuan Wang
LWLeyun Wang
Leyun Wang
HWHuili Wang
Huili Wang
WXWei Xie
Wei Xie
Evolutionary analyses reveal conservation and divergence of epigenetic transition during early development across mammals.

14 June 2017 in BMC Genomics
Verified
Journal Article
Open access
PDF file
BZBo Zhu
Bo Zhu
HNHong Niu
Hong Niu
WZWengang Zhang
Wengang Zhang
ZWZezhao Wang
Zezhao Wang
YLYonghu Liang
Yonghu Liang
JLJunya Li
Junya Li
Fatty acid composition of muscle is an important trait contributing to meat quality. Recently, genome-wide association study (GWAS) has been extensively used to explore the molecular mechanism underlying important traits in cattle. In this study, we performed GWAS using high density SNP array to analyze the association between SNPs and fatty acids and evaluated the accuracy of genomic prediction for fatty acids in Chinese Simmental cattle. Using the BayesB method, we identified 35 and 7 regions in Chinese Simmental cattle that displayed significant associations with individual fatty acids and fatty acid groups, respectively. We further obtained several candidate genes which may be involved in fatty acid biosynthesis including elongation of very long chain fatty acids protein 5 (ELOVL5), fatty acid synthase (FASN), caspase 2 (CASP2) and thyroglobulin (TG). Specifically, we obtained strong evidence of association signals for one SNP located at 51.3 Mb for FASN using Genome-wide Rapid Association Mixed Model and Regression-Genomic Control (GRAMMAR-GC) approaches. Also, region-based association test identified multiple SNPs within FASN and ELOVL5 for C14:0. In addition, our result revealed that the effectiveness of genomic prediction for fatty acid composition using BayesB was slightly superior over GBLUP in Chinese Simmental cattle. We identified several significantly associated regions and loci which can be considered as potential candidate markers for genomics-assisted breeding programs. Using multiple methods, our results revealed that FASN and ELOVL5 are associated with fatty acids with strong evidence. Our finding also suggested that it is feasible to perform genomic selection for fatty acids in Chinese Simmental cattle.

28 November 2016 in Scientific Reports
Verified
Journal Article
Open access
PDF file
WZWengang Zhang
Wengang Zhang
JLJunya Li
Junya Li
YGYong Guo
Yong Guo
LZLupei Zhang
Lupei Zhang
LXLingyang Xu
Lingyang Xu
YCYan Chen
Yan Chen
Average daily gain (ADG) is the most economically important trait in beef cattle industry. Using genome-wide association study (GWAS) approaches, previous studies have identified several causal variants within the PLAG1, NCAPG and LCORL genes for ADG in cattle. Multi-strategy GWASs were implemented in this study to improve detection and to explore the causal genes and regions. In this study, we conducted GWASs based on the genotypes of 1,173 Simmental cattle. In the SNP-based GWAS, the most significant SNPs (rs109303784 and rs110058857, P = 1.78 × 10−7) were identified in the NCAPG intron on BTA6 and explained 4.01% of the phenotypic variance, and the independent and significant SNP (rs110406669, P = 5.18 × 10−6) explained 3.32% of the phenotypic variance. Similarly, in the haplotype-based GWAS, the most significant haplotype block, Hap-6-N1416 (P = 2.56 × 10−8), spanned 12.7 kb on BTA6 and explained 4.85% of the phenotypic variance. Also, in the gene-based GWAS, seven significant genes were obtained which included DCAF16 and NCAPG. Moreover, analysis of the transcript levels confirmed that transcripts abundance of NCAPG (P = 0.046) and DCAF16 (P = 0.046) were significantly correlated with the ADG trait. Overall, our results from the multi-strategy GWASs revealed the DCAF16-NCAPG region to be a susceptibility locus for ADG in cattle.

1 June 2019 in Reproductive Biology
Verified
Journal Article
Closed access
XWXiangguo Wang
Xiangguo Wang
FTFeng Tian
Feng Tian
CCChaolei Chen
Chaolei Chen
YFYan Feng
Yan Feng
XSXihui Sheng
Xihui Sheng
HNHemin Ni
Hemin Ni

4 November 2021 in Journal of Animal Science and Biotechnology
Verified
Journal Article
Open access
PDF file
SGShan Gao
Shan Gao
NHNuo Heng
Nuo Heng
FLFang Liu
Fang Liu
YGYong Guo
Yong Guo
YCYu Chen
Yu Chen
XQXiao-Long Qi
Xiao-Long Qi
Background: Natural astaxanthin (ASTA) has strong antioxidant properties and has been widely used as a health product to improve human health. However, the effects of ASTA on the reproductive performance of aging roosters have been poorly studied. We aimed to investigate the effects of dietary ASTA on semen quality and antioxidant capacity in aging roosters and to explore the potential mechanism of semen quality change via anti-oxidation defense system.Methods: In the present study, 96 53-week-old Jinghong No. 1 layer breeder roosters were fed a corn-soybean meal basal diet containing 0, 25, 50, or 100 mg/kg ASTA for 6 weeks.Results: Semen quality in the ASTA groups remarkably improved than that in the control group, and antioxidant activities, the abilities to scavenge hydroxyl radicals and superoxide anions, increased gradually with ASTA addition (P < 0.05). In addition, the mRNA levels of antioxidant enzymes as well as the mRNA and protein levels of the mitogen-activated protein kinase (MAPK) and nuclear factor-erythroid 2-related factor 2 (Nrf2) were markedly increased in the 50–100 mg/kg ASTA group (P < 0.05).Conclusions: Collectively, these results demonstrate that dietary ASTA may improve semen quality by increasing antioxidant enzyme activities and the ability to scavenge hydroxyl radicals, which may be related to upregulation of the MAPK/Nrf2 pathway.

8 January 2014 in Molecular Biology Reports
Verified
Journal Article
Closed access
PDF file
XSXihui Sheng
Xihui Sheng
HNHemin Ni
Hemin Ni
YLYunhai Liu
Yunhai Liu
JLJunya Li
Junya Li
LZLupei Zhang
Lupei Zhang
YGYong Guo
Yong Guo