Jinbo Xiong

Prof. Dr. Jinbo Xiong

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

View All Publications
1 February 2013 in Soil Biology and Biochemistry
Verified
Journal Article
Closed access
CSCongcong Shen
Congcong Shen
JXJinbo Xiong
Jinbo Xiong
HZHuayong Zhang
Huayong Zhang
YFYouzhi Feng
Youzhi Feng
XLXiangui Lin
Xiangui Lin
HCHaiyan Chu
Haiyan Chu

7 June 2012 in Environmental Microbiology
Verified
Journal Article
Open access
PDF file
JXJinbo Xiong
Jinbo Xiong
YLYongqin Liu
Yongqin Liu
XLXiangui Lin
Xiangui Lin
HZHuayong Zhang
Huayong Zhang
JZJun Zeng
Jun Zeng
HChaiyan chu
haiyan chu
Summary: Continent‐scale biogeography has been extensively studied in soils and marine systems, but little is known about biogeographical patterns in non‐marine sediments. We used barcode pyrosequencing to quantify the effects of local geochemical properties and geographic distance for bacterial community structure and membership, using sediment samples from 15 lakes on the Tibetan Plateau (4–1670 km apart). Bacterial communities were surprisingly diverse, and distinct from soil communities. Four of 26 phyla detected were dominant: Proteobacteria , Bacteroidetes , Firmicutes and Actinobacteria , albeit 20.2% of sequences were unclassified at the phylum level. As previously observed in acidic soil, pH was the dominant factor influencing alkaline sediment community structure, phylotype richness and phylogenetic diversity. In contrast, archaeal communities were less affected by pH. More geographically distant sites had more dissimilar communities ( r = 0.443, P = 0.030). Variance partitioning analysis showed that geographic distance (historical contingencies) contributed more to bacterial community variation (12.2%) than any other factor, although the environmental factors explained more variance when combined (28.9%). Together, our results show that pH is the best predictor of bacterial community structure in alkaline sediments, and confirm that both geographic distance and chemical factors govern bacterial biogeography in lake sediments.

7 May 2015 in Applied Microbiology and Biotechnology
Verified
Journal Article
Closed access
PDF file
JXJinbo Xiong
Jinbo Xiong
KWKai Wang
Kai Wang
JWJinfeng Wu
Jinfeng Wu
LQLinglin Qiuqian
Linglin Qiuqian
KYKunjie Yang
Kunjie Yang
ZDZhang Demin
Zhang Demin

23 March 2017 in Environmental Microbiology
Verified
Journal Article
Closed access
PDF file
JXJinbo Xiong
Jinbo Xiong
JZJinyong Zhu
Jinyong Zhu
WDWenfang Dai
Wenfang Dai
CDChunming Dong
Chunming Dong
QQQiongfen Qiu
Qiongfen Qiu
CLChenghua Li
Chenghua Li

10 March 2020 in Microbiome
Verified
Journal Article
Open access
PDF file
ZHZhijian Huang
Zhijian Huang
SZShenzheng Zeng
Shenzheng Zeng
JXJinbo Xiong
Jinbo Xiong
DHDongwei Hou
Dongwei Hou
RZRenjun Zhou
Renjun Zhou
JHJianguo He
Jianguo He
Background: Recently, increasing evidence supports that some complex diseases are not attributed to a given pathogen, but dysbiosis in the host intestinal microbiota (IM). The full intestinal ecosystem alterations, rather than a single pathogen, are associated with white feces syndrome (WFS), a globally severe non-infectious shrimp disease, while no experimental evidence to explore the causality. Herein, we conducted comprehensive metagenomic and metabolomic analysis, and intestinal microbiota transplantation (IMT) to investigate the causal relationship between IM dysbiosis and WFS. Results: Compared to the Control shrimp, we found dramatically decreased microbial richness and diversity in WFS shrimp. Ten genera, such as Vibrio, Candidatus Bacilloplasma, Photobacterium, and Aeromonas, were overrepresented in WFS, whereas 11 genera, including Shewanella, Chitinibacter, and Rhodobacter were enriched in control. The divergent changes in these populations might contribute the observation that a decline of pathways conferring lipoic acid metabolism and mineral absorption in WFS. Meanwhile, some sorts of metabolites, especially lipids and organic acids, were found to be related to the IM alteration in WFS. Integrated with multiomics and IMT, we demonstrated that significant alterations in the community composition, functional potentials, and metabolites of IM were closely linked to shrimp WFS. The distinguished metabolites which were attributed to the IM dysbiosis were validated by feed-supplementary challenge. Both homogenous selection and heterogeneous selection process were less pronounced in WFS microbial community assembly. Notably, IMT shrimp from WFS donors eventually developed WFS clinical signs, while the dysbiotic IM can be recharacterized in recipient shrimp. Conclusions: Collectively, our findings offer solid evidence of the causality between IM dysbiosis and shrimp WFS, which exemplify the ‘microecological Koch’s postulates’ (an intestinal microbiota dysbiosis, a disease) in disease etiology, and inspire our cogitation on etiology from an ecological perspective.

18 August 2016 in Microbial Ecology
Verified
Journal Article
Closed access
PDF file
JZJinyong Zhu
Jinyong Zhu
WDWenfang Dai
Wenfang Dai
QQQiongfen Qiu
Qiongfen Qiu
CDChunming Dong
Chunming Dong
JZJinjie Zhang
Jinjie Zhang
JXJinbo Xiong
Jinbo Xiong