Zhenbing Wu

Dr. Zhenbing Wu

Institute of Hydrobiology, Chinese Academy of Sciences
+1
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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17 March 2021 in Microorganisms
Verified
Journal Article
Open access
PDF file
ZWZhenbing Wu
Zhenbing Wu
QZQianqian Zhang
Qianqian Zhang
YLYaoyao Lin
Yaoyao Lin
JHJingwen Hao
Jingwen Hao
SWShuyi Wang
Shuyi Wang
ALAihua Li
Aihua Li
The gill and gastrointestinal tract are primary entry routes for pathogens. The symbiotic microbiota are essential to the health, nutrition and disease of fish. Though the intestinal microbiota of Nile tilapia (Oreochromis niloticus) has been extensively studied, information on the mucosa-associated microbiota of this species, especially the gill and gastrointestinal mucosa-associated microbiota, is lacking. This study aimed to characterize the gill and gastrointestinal mucosa- and digesta-associated microbiota, as well as the intestinal metabolite profiles in the New Genetically Improved Farmed Tilapia (NEW GIFT) strain of farmed adult Nile tilapia by high-throughput sequencing and gas chromatography/mass spectrometry metabolomics. The diversity, structure, composition, and predicted function of gastrointestinal microbiota were significantly different across gastrointestinal regions and sample types (Welch t-test; p < 0.05). By comparing the mucosa- and digesta-associated microbiota, linear discriminant analysis (LDA) effect size (LEfSe) analysis revealed that Pelomonas, Ralstoniapickettii, Comamonadaceae, and Staphylococcus were significantly enriched in the mucosa-associated microbiota, whereas many bacterial taxa were significantly enriched in the digesta-associated microbiota, including Chitinophagaceae, Cetobacterium, CandidatusCompetibacter, Methyloparacoccus, and chloroplast (LDA score > 3.5). Furthermore, Undibacterium, Escherichia-Shigella, Paeniclostridium, and Cetobacterium were dominant in the intestinal contents and mucosae, whereas Sphingomonasaquatilis and Roseomonasgilardii were commonly found in the gill and stomach mucosae. The Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt2) analysis revealed that the predictive function of digesta-associated microbiota significantly differed from that of mucosa-associated microbiota (R = 0.8152, p = 0.0001). In addition, our results showed a significant interdependence between specific intestinal microbes and metabolites. Notably, the relative abundance values of several potentially beneficial microbes, including Undibacterium, Crenothrix, and Cetobacterium, were positively correlated with most intestinal metabolites, whereas the relative abundance values of some potential opportunistic pathogens, including Acinetobacter, Mycobacterium, Escherichia-Shigella, Paeniclostridium, Aeromonas, and Clostridiumsensustricto 1, were negatively correlated with most intestinal metabolites. This study revealed the characteristics of gill and gastrointestinal mucosa-associated and digesta-associated microbiota of farmed Nile tilapia and identified a close correlation between intestinal microbes and metabolites. The results serve as a basis for the effective application of targeted probiotics or prebiotics in the diet to regulate the nutrition and health of farmed tilapia.

6 August 2023 in Water Research
Verified
Journal Article
Closed access
CDChenyuan Dang
Chenyuan Dang
YZYibo Zhang
Yibo Zhang
MZMaosheng Zheng
Maosheng Zheng
QMQiyue Meng
Qiyue Meng
JWJia Wang
Jia Wang
JFJie Fu
Jie Fu

1 December 2020 in Aquaculture
Verified
Journal Article
Closed access
ZWZhenbing Wu
Zhenbing Wu
SWShuyi Wang
Shuyi Wang
QZQianqian Zhang
Qianqian Zhang
JHJingwen Hao
Jingwen Hao
YLYaoyao Lin
Yaoyao Lin
ALAihua Li
Aihua Li

15 December 2020 in Environmental Microbiology
Verified
Journal Article
Open access
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ZQZhang Qian‐Qian
Zhang Qian‐Qian
JSJian Sheng‐Long
Jian Sheng‐Long
LKLi Ke‐Mao
Li Ke‐Mao
ZWZhenbing Wu
Zhenbing Wu
GHGuan Hong‐Tao
Guan Hong‐Tao
ALAihua Li
Aihua Li
Summary: Planktonic microorganisms play a key role in the biogeochemical processes of the aquatic system, and they may be affected by many factors. High‐throughput sequencing technology was used in this study to investigate and study the bacterioplankton community of water bodies in the upper reaches of the Heihe River Basin in Qinghai Plateau. Results showed that Proteobacteria, Firmicutes, Bacteroidetes and Actinobacteria are the predominant phyla in this river section, while the main genera are Thiomonas , Acidibacillus , Acidocella , Rhodanobacter , Acidithiobacter and Gallionella , which are autochthonous in the acid‐mine drainage. Additionally, total nitrogen, total phosphorus, permanganate index and pH are significantly correlated with the bacterioplankton abundance and are the main limiting factors for the spatial distribution of the bacterioplankton. PICRUSt inferred that the mainstream microbial assemblages had a higher abundance of KOs belong to metabolism of terpenoids and polyketides, while the tributary had higher abundance of KOs belong to the immune system. The relationship between bacterioplankton community composition and environmental factors in the Heihe River basin was discussed for the first time in this study, which provides a theoretical basis for the healthy, orderly development of the water environment in the Heihe River Basin.

1 April 2021 in Aquaculture
Verified
Journal Article
Closed access
ZWZhenbing Wu
Zhenbing Wu
QZQianqian Zhang
Qianqian Zhang
TZTanglin Zhang
Tanglin Zhang
JCJiwang Chen
Jiwang Chen
SWShuyi Wang
Shuyi Wang
ALAihua Li
Aihua Li

3 January 2023 in Fishes
Verified
Journal Article
Open access
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JYJicheng Yang
Jicheng Yang
YLYaoyao Lin
Yaoyao Lin
ZWZhaohui Wei
Zhaohui Wei
ZWZhenbing Wu
Zhenbing Wu
QZQianqian Zhang
Qianqian Zhang
ALAihua Li
Aihua Li
To reveal the changes in the gut microbiota of yellow catfish after being infected by Edwardsiella ictaluri, 16S rRNA gene high-throughput sequencing technology was used to analyze the microbial composition and diversity of the healthy and diseased yellow catfish. The gut microbial richness and diversity of the diseased fish were significantly lower than those of healthy fish. The composition and predicted function of yellow catfish gut microbiota were drastically altered after infection by E. ictaluri. Fusobacteriota, Proteobacteria, and Firmicutes were the predominant bacterial phyla in the gut of the healthy fish, while Proteobacteria was the dominant phylum in the gut of the diseased fish. At the genus level, the gut of healthy fish was dominated by Cetobacterium, Plesiomonas, and Romboutsia, while the gut of diseased fish was overwhelmed by the pathogenic E. ictaluri (99.22 ± 0.85%), and Cetobacterium, Plesiomonas, and Romboutsia disappeared. This is the most characteristic feature of the intestinal microbiota composition of yellow catfish edwardsiellosis. The same sequence of E. ictaluri was detected in the intestine of the healthy fish and the liver and intestine of the diseased fish. The anaerobic and Gram-positive bacteria were significantly decreased, and the digestive system, immune system, and metabolic functions of the gut microbiota were significantly reduced in the diseased fish gut. This may be part of the pathogenesis of fish edwardsiellosis.