Hui Wang

Prof. Dr. Hui Wang


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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5 May 2023 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
JXJianmin Xie
Jianmin Xie
YCYuerong Chen
Yuerong Chen
GCGuanjing Cai
Guanjing Cai
RCRunlin Cai
Runlin Cai
ZHZhong Hu
Zhong Hu
HWHui Wang
Hui Wang
TvBOT is a user-friendly and efficient web application for visualizing, modifying, and annotating phylogenetic trees. It is highly efficient in data preparation without requiring redundant style and syntax data. Tree annotations are powered by a data-driven engine that only requires practical data organized in uniform formats and saved as one table file. A layer manager is developed to manage annotation dataset layers, allowing the addition of a specific layer by selecting the columns of a corresponding annotation data file. Furthermore, tvBOT renders style adjustments in real-time and diversified ways. All style adjustments can be made on a highly interactive user interface and are available for mobile devices. The display engine allows the changes to be updated and rendered in real-time. In addition, tvBOT supports the combination display of 26 annotation dataset types to achieve multiple formats for tree annotations with reusable phylogenetic data. Besides several publication-ready graphics formats, JSON format can be exported to save the final drawing state and all related data, which can be shared with other users, uploaded to restore the final drawing state for re-editing or used as a style template for quickly retouching a new tree file. tvBOT is freely available at: https://www.chiplot.online/tvbot.html.

1 August 2019 in Environment International
Verified
Journal Article
Open access
SZShuangfei Zhang
Shuangfei Zhang
ZHZhong Hu
Zhong Hu
HWHui Wang
Hui Wang
The bacterial community from estuarine sediment undertakes the bioremediation and energy transformation of anthropogenic pollutants especially polycyclic aromatic hydrocarbons (PAHs). However, information and studies on bacterial synergism and related metabolic profiles under the stress of PAHs are limited. In this study, sediments from estuarine were collected and co-incubated with a classical PAH, pyrene. The results showed that Alpha- and Gammaproteobacteria became abundant at the late domesticating phase with the dominant genus of ZD0117, the uncultivated bacteria affiliated into Gammaproteobacteria. Functional gene analysis based on metagenomic sequencing showed that quantitatively changes of genes directly related to the degradation of aromatic hydrocarbon coordinated with genes involved into various metabolic pathways such as acylglycerol degradation, nitrogen fixation, sulfate transport system, Arnon-Buchanan cycle, and Calvin cycle (P < 0.01 and |ρ| > 0.8). Fifty-six metagenome-assembled genomes (MAGs) were reconstructed, which were primarily composed by Alpha- and Gammaproteobacteria. Bacteria belonging to the phylum Proteobacteria were found to be abundant in MAGs and contained genes encoding for dehydrogenase, which are key enzymes for pyrene degradation. In addition, genomes of uncultivated bacteria were successfully reconstructed and were proven to carry genes of synergistically metabolizing pyrene. Based on analysis of typical MAGs, the metabolic pathways involved in syntrophic associations of a pyrene-degrading consortium were reconstructed. The results in this study could make us fully understand the metabolic patterns of pyrene-degrading consortium from the estuarine sediment and widen the scope of functional bacteria.

Verified
Journal Article
Open access
PDF file
Ali Mohamed ElyamineAli Mohamed Elyamine
Ali Mohamed Elyamine
JKJie Kan
Jie Kan
SMshanshan meng
shanshan meng
TPTao Peng
Tao Peng
HWHui Wang
Hui Wang
ZHZhong Hu
Zhong Hu
Microbial biodegradation is one of the acceptable technologies to remediate and control the pollution by polycyclic aromatic hydrocarbon (PAH). Several bacteria, fungi, and cyanobacteria strains have been isolated and used for bioremediation purpose. This review paper is intended to provide key information on the various steps and actors involved in the bacterial and fungal aerobic and anaerobic degradation of pyrene, a high molecular weight PAH, including catabolic genes and enzymes, in order to expand our understanding on pyrene degradation. The aerobic degradation pathway by Mycobacterium vanbaalenii PRY-1 and Mycobactetrium sp. KMS and the anaerobic one, by the facultative bacteria anaerobe Pseudomonas sp. JP1 and Klebsiella sp. LZ6 are reviewed and presented, to describe the complete and integrated degradation mechanism pathway of pyrene. The different microbial strains with the ability to degrade pyrene are listed, and the degradation of pyrene by consortium is also discussed. The future studies on the anaerobic degradation of pyrene would be a great initiative to understand and address the degradation mechanism pathway, since, although some strains are identified to degrade pyrene in reduced or total absence of oxygen, the degradation pathway of more than 90% remains unclear and incomplete. Additionally, the present review recommends the use of the combination of various strains of anaerobic fungi and a fungi consortium and anaerobic bacteria to achieve maximum efficiency of the pyrene biodegradation mechanism.

1 March 2020 in Journal of Hazardous Materials
Verified
Journal Article
Closed access
SZSu Zhang
Su Zhang
WZWei Zheng
Wei Zheng
HWHui Wang
Hui Wang

1 August 2020 in Science of The Total Environment
Verified
Journal Article
Closed access
YLYanyang Liu
Yanyang Liu
QLQun Lin
Qun Lin
JFJiarong Feng
Jiarong Feng
FYFumin Yang
Fumin Yang
HDHong Du
Hong Du
HWHui Wang
Hui Wang

23 October 2018 in Frontiers in Microbiology
Verified
Journal Article
Open access
PDF file
JZJianming Zhu
Jianming Zhu
YHYiguo Hong
Yiguo Hong
SZSahib Zada
Sahib Zada
ZHZhong Hu
Zhong Hu
HWHui Wang
Hui Wang
Phytoplankton and bacterioplankton play significant roles in estuarine systems. It is important to demonstrate the spatial variability of bacterial and microalgal communities and understand the co-acclimation of these organisms to different environmental factors. In this study, MiSeq sequencing and morphological identification were applied to analyze the variations in bacterial and microalgal communities in the Pearl River Estuary, respectively. Molecular ecological network analysis was used to investigate the potential interactions between microalgae and bacteria and illustrate the responses of these interactions to environmental gradients. The results revealed that microalgal/bacterial communities in freshwater samples were distinct from those in mesohaline water samples. Microalgae affiliated to the genus Skeletonema dominated the mesohaline water phytoplankton communities, while Melosira was the more abundant genus in freshwater communities. Actinobacteria, Alphaproteobacteria, Betaproteobacteria, and Acidimicrobiia dominated bacterial communities in freshwater samples, while Gammaproteobacteria, Bacilli, and Synechococcophycideae were more abundant in mesohaline water samples. Tightly correlations were observed between phytoplankton and bacterioplankton. These interactions were regarded to be key factors in shaping the community structures. Further, the KEGG database and PICRUSt were used to predict the functions of bacterioplankton in the process of nitrogen cycling. The results indicated that denitrification could play an important role in nitrogen loss and might alleviate the eutrophication in the Pearl River Estuary. Collectively, the results in this study revealed that substantial changes in phytoplankton and bacterioplankton communities were correlated with the gradients of environmental parameters in the Pearl River Estuary. The results also demonstrated that the interactions between phytoplankton and bacterioplankton were important for these organisms to acclimate to changing environments.