Metabolomics in Mycotoxin Research

A special issue of Toxins (ISSN 2072-6651). This special issue belongs to the section "Mycotoxins".

Deadline for manuscript submissions: closed (31 October 2018) | Viewed by 23403

Special Issue Editor


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Guest Editor
Center for Analytical Chemistry, Department for Agrobiotechnology (IFA-Tulln), University of Natural Resources and Life Sciences, Vienna (BOKU), 1180 Tulln, Austria

Special Issue Information

Dear Colleagues,

Metabolomics studies try to generate a (global) comparative snapshot of the metabolic state of a biological system under investigation with the aim to identify and relate changes in the metabolic network to the applied experimental conditions. Since most metabolomics studies follow this generic concept, the discipline is well suited to illuminate versatile topics such as mycotoxins from multiple perspectives.

In the field of mycotoxin research, the toolbox of metabolomics has already been successfully used for example to elucidate novel secondary metabolites of fungi, identify mycotoxin biomarkers, to study the metabolism of mycotoxins in plants and animals, to investigate defense mechanisms of plants against fungal attack or to probe changes in the metabolome of organisms which were exposed to mycotoxins / pathogenic fungi.

This topical issue is dedicated to metabolomics in mycotoxin research and intends to present state-of-the art research papers as well as review articles in the field. Articles may present novel metabolomics methods for mycotoxin research, focus on methodical aspects or describe applied metabolomics studies, which provide novel insight into any of the above mentioned mycotoxin related issues.

Dr. Rainer Schuhmacher
Guest Editor

Manuscript Submission Information

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Keywords

  • Novel methods
  • Untargeted / targeted approaches
  • Plant pathology / physiology
  • Biomarker
  • Toxicology
  • Biotransformation
  • Secondary metabolism
  • Stress response
  • Chromatography
  • Mass spectrometry
  • Spectroscopy

Published Papers (4 papers)

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Research

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10 pages, 4129 KiB  
Communication
Biomarker of Aflatoxin Ingestion: 1H NMR-Based Plasma Metabolomics of Dairy Cows Fed Aflatoxin B1 with or without Sequestering Agents
by Ibukun Ogunade, Yun Jiang, James Adeyemi, Andre Oliveira, Diwakar Vyas and Adegbola Adesogan
Toxins 2018, 10(12), 545; https://doi.org/10.3390/toxins10120545 - 18 Dec 2018
Cited by 12 | Viewed by 4173
Abstract
The study applied 1H NMR-based plasma metabolomics to identify candidate biomarkers of aflatoxin B1 (AFB1) ingestion in dairy cows fed no sequestering agents and evaluate the effect of supplementing clay and/or a Saccharomyces cerevisiae fermentation product (SCFP) on such biomarkers. [...] Read more.
The study applied 1H NMR-based plasma metabolomics to identify candidate biomarkers of aflatoxin B1 (AFB1) ingestion in dairy cows fed no sequestering agents and evaluate the effect of supplementing clay and/or a Saccharomyces cerevisiae fermentation product (SCFP) on such biomarkers. Eight lactating cows were randomly assigned to 1 of 4 treatments in a balanced 4 × 4 Latin square design with 2 squares. Treatments were: control, toxin (T; 1725 µg AFB1/head/day), T with clay (CL; 200 g/head/day), and CL with SCFP (CL + SCFP; 35 g of SCFP/head/day). Cows in T, CL, and CL + SCFP were dosed with AFB1 from d 26 to 30. The sequestering agents were top-dressed from d 1 to 33. On d 30 of each period, 15 mL of blood was taken from the coccygeal vessels and plasma samples were prepared by centrifugation. Compared to the control, T decreased plasma concentrations of alanine, acetic acid, leucine, arginine and valine. In contrast, T increased plasma ethanol concentration 3.56-fold compared to control. Treatment with CL tended to reduce sarcosine concentration, whereas treatment with CL + SCFP increased concentrations of mannose and 12 amino acids. Based on size of the area under the curve (AUC) of receiver operating characteristic and fold change (FC) analyses, ethanol was the most significantly altered metabolite in T (AUC = 0.88; FC = 3.56); hence, it was chosen as the candidate biomarker of aflatoxin ingestion in dairy cows fed no sequestering agent. Full article
(This article belongs to the Special Issue Metabolomics in Mycotoxin Research)
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12 pages, 1488 KiB  
Article
Transcriptome Analysis of C. elegans Reveals Novel Targets for DON Cytotoxicity
by Rong Di, Hanzhong Zhang and Michael A. Lawton
Toxins 2018, 10(7), 262; https://doi.org/10.3390/toxins10070262 - 27 Jun 2018
Cited by 15 | Viewed by 4430
Abstract
Deoxynivalenol (DON) is a mycotoxin produced by Fusarium spp. that causes Fusarium head blight (FHB) disease in cereal crops. Ingestion of food contaminated with DON poses serious human health complications. However, the DON cytotoxicity has been mostly deduced from animal studies. In this [...] Read more.
Deoxynivalenol (DON) is a mycotoxin produced by Fusarium spp. that causes Fusarium head blight (FHB) disease in cereal crops. Ingestion of food contaminated with DON poses serious human health complications. However, the DON cytotoxicity has been mostly deduced from animal studies. In this study, we used the nematode Caenorhabditis elegans (C. elegans) as a tractable animal model to dissect the toxic effect of DON. Our results indicate that DON reduces the fecundity and lifespan of C. elegans. Real-time quantitative polymerase chain reaction (RT-qPCR) analysis showed that DON upregulates innate immunity-related genes including C17H12.8 and K08D8.5 encoding PMK-1 (mitogen activated protein kinase-1)-regulated immune effectors, and F35E12.5 encoding a CUB-like domain-containing protein. Furthermore, our RNAseq data demonstrate that out of ~17,000 C. elegans genes, 313 are upregulated and 166 were downregulated by DON treatment. Among the DON-upregulated genes, several are ugt genes encoding UDP-glucuronosyl transferase (UGTs) which are known to be involved in chemical detoxification. The three upregulated genes, F52F10.4 (oac-32), C10H11.6 (ugt-26) and C10H11.4 (ugt-28) encoding the O-acyltransferase homolog, UGT26 and UGT 28, respectively, are shown to contribute to DON tolerance by a RNAi bacterial feeding experiment. The results of this study provide insights to the targets of DON cytotoxicity and potential mitigation measures. Full article
(This article belongs to the Special Issue Metabolomics in Mycotoxin Research)
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22 pages, 3101 KiB  
Article
Metabolites Identified during Varied Doses of Aspergillus Species in Zea mays Grains, and Their Correlation with Aflatoxin Levels
by Titilayo D. O. Falade, Panagiotis K. Chrysanthopoulos, Mark P. Hodson, Yasmina Sultanbawa, Mary Fletcher, Ross Darnell, Sam Korie and Glen Fox
Toxins 2018, 10(5), 187; https://doi.org/10.3390/toxins10050187 - 07 May 2018
Cited by 10 | Viewed by 5482
Abstract
Aflatoxin contamination is associated with the development of aflatoxigenic fungi such as Aspergillus flavus and A. parasiticus on food grains. This study was aimed at investigating metabolites produced during fungal development on maize and their correlation with aflatoxin levels. Maize cobs were harvested [...] Read more.
Aflatoxin contamination is associated with the development of aflatoxigenic fungi such as Aspergillus flavus and A. parasiticus on food grains. This study was aimed at investigating metabolites produced during fungal development on maize and their correlation with aflatoxin levels. Maize cobs were harvested at R3 (milk), R4 (dough), and R5 (dent) stages of maturity. Individual kernels were inoculated in petri dishes with four doses of fungal spores. Fungal colonisation, metabolite profile, and aflatoxin levels were examined. Grain colonisation decreased with kernel maturity: milk-, dough-, and dent-stage kernels by approximately 100%, 60%, and 30% respectively. Aflatoxin levels increased with dose at dough and dent stages. Polar metabolites including alanine, proline, serine, valine, inositol, iso-leucine, sucrose, fructose, trehalose, turanose, mannitol, glycerol, arabitol, inositol, myo-inositol, and some intermediates of the tricarboxylic acid cycle (TCA—also known as citric acid or Krebs cycle) were important for dose classification. Important non-polar metabolites included arachidic, palmitic, stearic, 3,4-xylylic, and margaric acids. Aflatoxin levels correlated with levels of several polar metabolites. The strongest positive and negative correlations were with arabitol (R = 0.48) and turanose and (R = −0.53), respectively. Several metabolites were interconnected with the TCA; interconnections of the metabolites with the TCA cycle varied depending upon the grain maturity. Full article
(This article belongs to the Special Issue Metabolomics in Mycotoxin Research)
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Review

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26 pages, 1601 KiB  
Review
Current Status and Future Opportunities of Omics Tools in Mycotoxin Research
by Manal Eshelli, M. Mallique Qader, Ebtihaj J. Jambi, Andrew S. Hursthouse and Mostafa E. Rateb
Toxins 2018, 10(11), 433; https://doi.org/10.3390/toxins10110433 - 26 Oct 2018
Cited by 37 | Viewed by 8655
Abstract
Mycotoxins are toxic secondary metabolites of low molecular weight produced by filamentous fungi, such as Aspergillus, Fusarium, and Penicillium spp. Mycotoxins are natural contaminants of agricultural commodities and their prevalence may increase due to global warming. Dangerous mycotoxins cause a variety [...] Read more.
Mycotoxins are toxic secondary metabolites of low molecular weight produced by filamentous fungi, such as Aspergillus, Fusarium, and Penicillium spp. Mycotoxins are natural contaminants of agricultural commodities and their prevalence may increase due to global warming. Dangerous mycotoxins cause a variety of health problems not only for humans, but also for animals. For instance, they possess carcinogenic, immunosuppressive, hepatotoxic, nephrotoxic, and neurotoxic effects. Hence, various approaches have been used to assess and control mycotoxin contamination. Significant challenges still exist because of the complex heterogeneous nature of food composition. The potential of combined omics approaches such as metabolomics, genomics, transcriptomics, and proteomics would contribute to our understanding about pathogen fungal crosstalk as well as strengthen our ability to identify, isolate, and characterise mycotoxins pre and post-harvest. Multi-omics approaches along with advanced analytical tools and chemometrics provide a complete annotation of such metabolites produced before/during the contamination of crops. We have assessed the merits of these individual and combined omics approaches and their promising applications to mitigate the issue of mycotoxin contamination. The data included in this review focus on aflatoxin, ochratoxin, and patulin and would be useful as benchmark information for future research. Full article
(This article belongs to the Special Issue Metabolomics in Mycotoxin Research)
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