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Featured researches published by Xiu-Zhen Li.


BMC Microbiology | 2010

Isolation of deoxynivalenol-transforming bacteria from the chicken intestines using the approach of PCR-DGGE guided microbial selection.

Hai Yu; Ting Zhou; Jianhua Gong; Christopher Young; Xiaojun Su; Xiu-Zhen Li; Honghui Zhu; Rong Tsao; Raymond Yang

BackgroundContamination of grains with trichothecene mycotoxins, especially deoxynivalenol (DON), has been an ongoing problem for Canada and many other countries. Mycotoxin contamination creates food safety risks, reduces grain market values, threatens livestock industries, and limits agricultural produce exports. DON is a secondary metabolite produced by some Fusarium species of fungi. To date, there is a lack of effective and economical methods to significantly reduce the levels of trichothecene mycotoxins in food and feed, including the efforts to breed Fusarium pathogen-resistant crops and chemical/physical treatments to remove the mycotoxins. Biological approaches, such as the use of microorganisms to convert the toxins to non- or less toxic compounds, have become a preferred choice recently due to their high specificity, efficacy, and environmental soundness. However, such approaches are often limited by the availability of microbial agents with the ability to detoxify the mycotoxins. In the present study, an approach with PCR-DGGE guided microbial selection was developed and used to isolate DON -transforming bacteria from chicken intestines, which resulted in the successful isolation of several bacterial isolates that demonstrated the function to transform DON to its de-epoxy form, deepoxy-4-deoxynivalenol (DOM-1), a product much less toxic than DON.ResultsThe use of conventional microbiological selection strategies guided by PCR-DGGE (denaturing gradient gel electrophoresis) bacterial profiles for isolating DON-transforming bacteria has significantly increased the efficiency of the bacterial selection. Ten isolates were identified and isolated from chicken intestines. They were all able to transform DON to DOM-1. Most isolates were potent in transforming DON and the activity was stable during subculturing. Sequence data of partial 16S rRNA genes indicate that the ten isolates belong to four different bacterial groups, Clostridiales, Anaerofilum, Collinsella, and Bacillus.ConclusionsThe approach with PCR-DGGE guided microbial selection was effective in isolating DON-transforming bacteria and the obtained bacterial isolates were able to transform DON.


Frontiers in Microbiology | 2016

Bacterial Epimerization as a Route for Deoxynivalenol Detoxification: the Influence of Growth and Environmental Conditions

Jian Wei He; Yousef I. Hassan; Norma Perilla; Xiu-Zhen Li; Greg J. Boland; Ting Zhou

Deoxynivalenol (DON) is a toxic secondary metabolite produced by several Fusarium species that infest wheat and corn. Food and feed contaminated with DON pose a health risk to both humans and livestock and form a major barrier for international trade. Microbial detoxification represents an alternative approach to the physical and chemical detoxification methods of DON-contaminated grains. The present study details the characterization of a novel bacterium, Devosia mutans 17-2-E-8, that is capable of transforming DON to a non-toxic stereoisomer, 3-epi-deoxynivalenol under aerobic conditions, mild temperature (25–30°C), and neutral pH. The biotransformation takes place in the presence of rich sources of organic nitrogen and carbon without the need of DON to be the sole carbon source. The process is enzymatic in nature and endures a high detoxification capacity (3 μg DON/h/108 cells). The above conditions collectively suggest the possibility of utilizing the isolated bacterium as a feed treatment to address DON contamination under empirical field conditions.


Toxins | 2015

A Novel Peptide-Binding Motifs Inference Approach to Understand Deoxynivalenol Molecular Toxicity

Yousef I. Hassan; Christena Watts; Xiu-Zhen Li; Ting Zhou

Deoxynivalenol (DON) is a type B trichothecene mycotoxin that is commonly detected in cereals and grains world-wide. The low-tolerated levels of this mycotoxin, especially in mono-gastric animals, reflect its bio-potency. The toxicity of DON is conventionally attributed to its ability to inhibit ribosomal protein biosynthesis, but recent advances in molecular tools have elucidated novel mechanisms that further explain DON’s toxicological profile, complementing the diverse symptoms associated with its exposure. This article summarizes the recent findings related to novel mechanisms of DON toxicity as well as how structural modifications to DON alter its potency. In addition, it explores feasible ways of expanding our understating of DON-cellular targets and their roles in DON toxicity, clearance, and detoxification through the utilization of computational biology approaches.


Journal of Food Protection | 2018

An Efficient Gas Chromatography–Mass Spectrometry Approach for the Simultaneous Analysis of Deoxynivalenol and Its Bacterial Metabolites 3-keto-DON and 3-epi-DON

Kaijie Tang; Huaizhi Liu; Xiu-Zhen Li; Yousef I. Hassan; Suqin Shao; Ting Zhou

Deoxynivalenol (DON) is one of the major toxic secondary metabolites produced by Fusarium fungi in cereal grains. Among the many promising strategies of DON detoxification are the microbial and enzymatic ones, which transform DON to nontoxic DON metabolites. Thus, proper analytical methods are needed for those DON metabolites. In this study, a robust gas chromatography-mass spectrometry (GC-MS) procedure was developed and validated for the simultaneous analysis of DON and two of its bacterial metabolites, 3-keto-DON and 3- epi-DON. The procedure involves a straightforward vacuum drying and derivatization step before the subsequent GC-MS analysis. Following the optimized protocol, DON and these two metabolites were separated on a capillary column within 15 min. The linear ranges for the these compounds were 10 to 2,000 ng mL-1 with correlation coefficients >0.99. For DON, 3- epi-DON, and 3-keto-DON, the limits of detection were 0.8, 3.0, and 0.05 ng mL-1, and the limits of quantification were 2.6, 10.0, and 1.0 ng mL-1, respectively. For all three compounds, the obtained relative standard deviation was 1.2 to 5.5%, and the recovery rates were 89.5 to 103.6%. The developed method was further validated by analyzing DON metabolites resulting from the biotransformation of DON initiated by cell-free lysates of the bacterium Devosia mutans 17-2-E-8. The developed protocol was sensitive, precise, accurate, and robust for the determination of DON, 3- epi-DON, and 3-keto-DON in liquid media and potentially other complex matrices without interference from other compounds.


Aquaculture | 2009

Transformation of trichothecene mycotoxins by microorganisms from fish digesta

Shu Guan; Jianwei He; J. Christopher Young; Honghui Zhu; Xiu-Zhen Li; Cheng Ji; Ting Zhou


Journal of Chromatography A | 2007

Purification of deoxynivalenol from Fusarium graminearum rice culture and mouldy corn by high-speed counter-current chromatography

Jianwei He; Raymond Yang; Ting Zhou; Rong Tsao; J. Christopher Young; Honghui Zhu; Xiu-Zhen Li; Greg J. Boland


Mycotoxin Research | 2009

Sample clean-up methods, immunoaffinity chromatography and solid phase extraction, for determination of deoxynivalenol and deepoxy deoxynivalenol in swine serum

Jianwei He; Xiu-Zhen Li; Ting Zhou


Food Control | 2013

Beauvericin degradation during bread and beer making

G. Meca; Ting Zhou; Xiu-Zhen Li; J. Mañes


Archive | 2008

BACTERIAL ISOLATE AND METHODS FOR DETOXIFICATION OF TRICHOTHECENE MYCOTOXINS

Ting Zhou; Jianhua Gong; Hai Yu; Xiu-Zhen Li


Food Control | 2015

Potential mycotoxin contamination risks of apple products associated with fungal flora of apple core

Sameh Soliman; Xiu-Zhen Li; S. Shao; M. Behar; A.M. Svircev; Rong Tsao; Ting Zhou

Collaboration


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Ting Zhou

Agriculture and Agri-Food Canada

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Hai Yu

Agriculture and Agri-Food Canada

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Honghui Zhu

Agriculture and Agri-Food Canada

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Jianwei He

Agriculture and Agri-Food Canada

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Rong Tsao

Agriculture and Agri-Food Canada

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Yousef I. Hassan

Agriculture and Agri-Food Canada

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G. Meca

University of Valencia

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J. Mañes

University of Valencia

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J. Christopher Young

Agriculture and Agri-Food Canada

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