Yonggang Zhang

Yonggang Zhang


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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9 August 2019 in Genes & Genomics
Verified
Journal Article
Open access
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JXJuyuan Xing
Juyuan Xing
XLXiaobo Li
Xiaobo Li
YSYingjiao Sun
Yingjiao Sun
JZJuanjuan Zhao
Juanjuan Zhao
SMShaohua Miao
Shaohua Miao
GZGuishan Zhang
Guishan Zhang
Background Akkermansia muciniphila is an important bacterium that resides on the mucus layer of the intestinal tract. Akkermansia muciniphila has a high abundance in human feces and plays an important role in human health. Objective In this article, 23 whole genome sequences of the Akkermansia genus were comparatively studied. Methods Phylogenetic trees were constructed with three methods: All amino acid sequences of each strain were used to construct the first phylogenetic tree using the web server of Composition Vector Tree Version 3. The matrix of Genome-to-Genome Distances which were obtained from GGDC 2.0 was used to construct the second phylogenetic tree using FastME. The concatenated single-copy core gene-based phylogenetic tree was generated through MEGA. The single-copy genes were obtained using OrthoMCL. Population structure was assessed by STRUCTURE 2.3.4 using the SNPs in core genes. PROKKA and Roary were used to do pan-genome analyses. The biosynthetic gene clusters were predicted using antiSMASH 4.0. IalandViewer 4 was used to detect the genomic islands. Results The results of comparative genomic analysis revealed that: (1) The 23 Akkermansia strains formed 4 clades in phylogenetic trees. The A. muciniphila strains isolated from different geographic regions and ecological niches, formed a closely related clade. (2) The 23 Akkermansia strains were divided into 4 species based on digital DNA-DNA hybridization (dDDH) values. (3) Pan-genome of A. muciniphila is in an open state and increases with addition of new sequenced genomes. (4) SNPs were not evenly distributed throughout the A. muciniphila genomes. The genes in regions with high SNP density are related to metabolism and cell wall/membrane envelope biogenesis. (5) The thermostable outer-membrane protein, Amuc_1100, was conserved in the Akkermansia genus, except for Akkermansia glycaniphila PytT. Conclusion Overall, applying comparative genomic and pan-genomic analyses, we classified and illuminated the phylogenetic relationship of the 23 Akkermansia strains. Insights of the evolutionary, population structure, gene clusters and genome islands of Akkermansia provided more information about the possible physiological and probiotic mechanisms of the Akkermansia strains, and gave some instructions for the in-depth researches about the use of Akkermansia as a gut probiotic in the future.

3 November 2017 in Molecules
Verified
Journal Article
Open access
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XZXiaowei Zhao
Xiaowei Zhao
XZXiaosa Zhao
Xiaosa Zhao
LBLingling Bao
Lingling Bao
YZYonggang Zhang
Yonggang Zhang
JDJiangyan Dai
Jiangyan Dai
MYMinghao Yin
Minghao Yin
Glycation is a non-enzymatic process occurring inside or outside the host body by attaching a sugar molecule to a protein or lipid molecule. It is an important form of post-translational modification (PTM), which impairs the function and changes the characteristics of the proteins so that the identification of the glycation sites may provide some useful guidelines to understand various biological functions of proteins. In this study, we proposed an accurate prediction tool, named Glypre, for lysine glycation. Firstly, we used multiple informative features to encode the peptides. These features included the position scoring function, secondary structure, AAindex, and the composition of k-spaced amino acid pairs. Secondly, the distribution of distinctive features of the residues surrounding the glycation and non-glycation sites was statistically analysed. Thirdly, based on the distribution of these features, we developed a new predictor by using different optimal window sizes for different properties and a two-step feature selection method, which utilized the maximum relevance minimum redundancy method followed by a greedy feature selection procedure. The performance of Glypre was measured with a sensitivity of 57.47%, a specificity of 90.78%, an accuracy of 79.68%, area under the receiver-operating characteristic (ROC) curve (AUC) of 0.86, and a Matthews’s correlation coefficient (MCC) of 0.52 by 10-fold cross-validation. The detailed analysis results showed that our predictor may play a complementary role to other existing methods for identifying protein lysine glycation. The source code and datasets of the Glypre are available in the Supplementary File.

10 April 2019 in Molecules
Verified
Journal Article
Open access
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LLLuying Li
Luying Li
XZXiaoyan Zhang
Xiaoyan Zhang
XTXiangmei Tan
Xiangmei Tan
炳(炳达 (Bingda) 孙 (Sun)
炳达 (Bingda) 孙 (Sun)
BWBin Wu
Bin Wu
Gang DingGang Ding
Gang Ding
Seven resorcylic acid lactones (RALs) including five new analog rhinoclactones, A–E (1, 2, 4–6), were isolated from an endophytic fungus Rhinocladiella similis in the plant Agriophyllum squarrosum collected from the Tengger Desert of the Ningxia Province, China. The structures of these new compounds were determined by HR-ESI-MS (High Resolution Electrospray Ionization Mass Spectrometry), NMR data, modified Mosher’s method, and X-ray diffraction experiments. All compounds isolated from this fungus possessed the 16-OMe/14-OH, not the common 16-OH/14-OH or 16-OH/14-OMe groups on the aromatic ring, which are rarely found in nature. Compound 7 displayed cytotoxic activities against HCT116 and HeLa cancer cell lines. The possible biosynthesis of 1–7 is suggested, and the potential ecological roles of these fungal secondary metabolites is discussed.

9 January 2020 in RSC Advances
Verified
Journal Article
Open access
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CLChen Lin
Chen Lin
JQJian-Chun Qin
Jian-Chun Qin
YZYonggang Zhang
Yonggang Zhang
Gang DingGang Ding
Gang Ding
1H-NMR spectra provide abundant diagnostic information including chemical shift values, splitting patterns, coupling constants, and integrals.

1 February 2022 in Phytochemistry
Verified
Journal Article
Closed access
ZXZhen-Lu Xu
Zhen-Lu Xu
DYDao-Jiang Yan
Dao-Jiang Yan
XTXiang-Mei Tan
Xiang-Mei Tan
SNShu-Bin Niu
Shu-Bin Niu
MYMeng Yu
Meng Yu
Gang DingGang Ding
Gang Ding