| Literature DB >> 29494529 |
John F Leslie1, Veronica Lattanzio2, Kris Audenaert3, Paola Battilani4, Jeffrey Cary5, Sofia N Chulze6, Sarah De Saeger7, Annamaria Gerardino8, Petr Karlovsky9, Yu-Cai Liao10, Chris M Maragos11, Giuseppe Meca12, Angel Medina13, Antonio Moretti14, Gary Munkvold15, Giuseppina Mulè16, Patrick Njobeh17, Ivan Pecorelli18, Giancarlo Perrone19, Amedeo Pietri20, Juan M Palazzini21, Robert H Proctor22, Endang S Rahayu23, Maria L Ramírez24, Robert Samson25, Jörg Stroka26, Michael Sulyok27, Mark Sumarah28, Cees Waalwijk29, Qi Zhang30, Hao Zhang31, Antonio F Logrieco32.
Abstract
MycoKey, an EU-funded Horizon 2020 project, includes a series of "Roundtable Discussions" to gather information on trending research areas in the field of mycotoxicology. This paper includes summaries of the Roundtable Discussions on Chemical Detection and Monitoring of mycotoxins and on the role of genetics and biodiversity in mycotoxin production. Discussions were managed by using the nominal group discussion technique, which generates numerous ideas and provides a ranking for those identified as the most important. Four questions were posed for each research area, as well as two questions that were common to both discussions. Test kits, usually antibody based, were one major focus of the discussions at the Chemical Detection and Monitoring roundtable because of their many favorable features, e.g., cost, speed and ease of use. The second area of focus for this roundtable was multi-mycotoxin detection protocols and the challenges still to be met to enable these protocols to become methods of choice for regulated mycotoxins. For the genetic and biodiversity group, both the depth and the breadth of trending research areas were notable. For some areas, e.g., microbiome studies, the suggested research questions were primarily of a descriptive nature. In other areas, multiple experimental approaches, e.g., transcriptomics, proteomics, RNAi and gene deletions, are needed to understand the regulation of toxin production and mechanisms underlying successful biological controls. Answers to the research questions will provide starting points for developing acceptable prevention and remediation processes. Forging a partnership between scientists and appropriately-placed communications experts was recognized by both groups as an essential step to communicating risks, while retaining overall confidence in the safety of the food supply and the integrity of the food production chain.Entities:
Keywords: antibodies; biological control; communication with non-scientists; metabolomics; microbiome; multi-mycotoxin detection protocols; nominal group discussion technique; proteomics; transcriptomics
Mesh:
Substances:
Year: 2018 PMID: 29494529 PMCID: PMC5869397 DOI: 10.3390/toxins10030109
Source DB: PubMed Journal: Toxins (Basel) ISSN: 2072-6651 Impact factor: 4.546
Questions for discussion at MycoKey Roundtables on chemical detection and monitoring and on genetics and biodiversity.
| Number | Question |
|---|---|
| Chemical Detection and Monitoring (CDM) | |
| CDM 1 | Identify scientific and technological innovations that are promising for method development and implementation. Consider reliability, applicability to real world samples, transferability to end users, etc. |
| CDM 2 | Identify the key elements that make a method suitable for implementation in industry (large companies and SMEs (Small and Medium) enterprises) for auto control, HACCP (Hazard Analysis and Critical Control Points) plans and process management. |
| CDM 3 | Identify key elements that make a method suitable to be implemented in developing countries with poor resources and limited analytical capabilities. |
| CDM 4 | Methods for official control purposes are becoming more heavily reliant on multi-mycotoxin analyses. Identify current Quality Control (QC) procedures and/or metrological tools that are efficient for official control and accredited methods. |
| Genetics and Biodiversity (GB) | |
| GB 1 | How can cellular signals/regulators/metabolites that alter mycotoxin production/stability, but are not associated with an individual mycotoxin or cluster, be identified and/or characterized? |
| GB 2 | What microbiome studies are needed to understand the importance and impact of mycotoxins (in native and agricultural ecosystems, human and animal health, etc.)? |
| GB 3 | Plant/fungal interactions that increase/decrease mycotoxin biosynthesis occur. How should these interactions be identified/characterized/exploited? |
| GB 4 | How can knowledge of fungal gene regulation and biodiversity be applied to the reduction/management of mycotoxin production and the remediation of mycotoxin contaminated materials? |
| Common | |
| 5 | What information should be generated or questions answered now for research in this area to progress after the current project ends in 2020? |
| 6 | What do people outside the scientific community need to know about mycotoxins? |
Nominal group responses to CDM Question No. 1: Identify scientific and technological innovations that are promising for method development and implementation. Consider reliability, applicability to real world samples, transferability to end users, etc.
| CDM 1 | CDM 2 | Response | ||
|---|---|---|---|---|
| # 1 | # | |||
| 3 | 5 | 5 | 16 | Non-toxic solvent (organic) extraction and improvement of extraction methods |
| 2 | 9 | 5 | 18 | Multi-mycotoxin technologies (including IAC (Immunoaffinity Columns)) |
| 2 | 7 | 2 | 5 | Smart phone/on-line transfer of results |
| 1 | 2 | 1 | 4 | Label-free detection or new labels for lateral flow devices |
| ●3 | ● | 3 | 12 | Development of physical methods based on FT-NIR or FT-MIR technology with a database for interpreting results |
| ● | ● | 2 | 7 | MS QqQ (Mass Spectrometry Triple Quadrupole) with internal (isotopically) labeled standards |
| ● | ● | 2 | 4 | Chemically synthesized aptamer probes (based on oligonucleotides) and MIPS, to replace antibody probes |
| 4 | 15 | -4 | - | Miniaturization of MS |
| 3 | 10 | - | - | Reference materials/PT test (Proficiency Test) |
| 3 | 7 | - | - | Improved antibodies, test kits and strips |
| - | - | 3 | 4 | Tool box-like technology for transportability |
| 2 | 7 | - | - | Increased sensitivity/robustness of mass spectrometry |
| - | - | 2 | 7 | Time resolved fluorescent strip method for ppb level analyses |
| 2 | 5 | - | - | Price |
| 1 | 5 | - | - | Association ELISA and app |
| - | - | 1 | 5 | High specificity and affinity recognizers |
| - | - | 1 | 4 | Validated, reliable database for identification of “emerging” mycotoxins by high resolution mass spectrometry |
| 1 | 2 | - | - | LAMP (Loop-mediated isothermal amplification) for detection of fungi |
| - | - | 1 | 2 | Gold nanoparticle-enabled immunoassays (~ppb limit) |
| - | - | 1 | 1 | Non-target screening methods UPLC-MS |
| - | - | 1 | 1 | Microfluidic device exploiting SMART functionalization |
| 1 | 1 | - | - | Alternatives to antibodies |
| ● | ● | - | - | Ambient ionization mass spectrometer |
| - | - | ● | ● | Vibrational spectroscopy methods as “indicators” for fungal degradation |
1 Number of participants ranking this response as one of the five most important. 2 Weighted priority score, with each voting member ranking their top five topics. Five points assigned to the most important response and one point to the least significant of the important responses. 3 This response provided by one or more members of the group when ideas were listed, but was not identified as one of the five most important responses by any member of the group. 4 This response not provided by any member of the group.
Nominal group responses to CDM Question No. 2: Identify the key elements that make a method suitable for implementation in industry (large companies and small and medium enterprises) for auto control, HAACP plans and process management.
| CDM 1 | CDM 2 | Response | ||
|---|---|---|---|---|
| # 1 | # | |||
| 5 | 17 | 3 | 7 | Cost-effectiveness |
| 4 | 11 | 4 | 11 | Easy to use: limited expertise and minimal operator manipulations |
| 3 | 10 | 3 | 7 | Process automation |
| 3 | 12 | 2 | 5 | High degree of reliability/validity |
| 1 | 5 | 2 | 6 | Speed |
| 4 | - | 5 | 17 | Full traceability of measurement process and quality control |
| - | - | 5 | 12 | Easy calibration/verification of functionality |
| - | - | 3 | 11 | Safe, easy handling |
| 2 | 9 | - | - | On-line capability |
| 2 | 8 | - | - | Wide applicability |
| 2 | 5 | - | - | Data accessible at any time |
| 2 | 3 | - | - | Sensitivity |
| 2 | 2 | - | - | Fast, simple data interpretation |
| 2 | 2 | - | - | Compliance with regulations/standards |
| - | - | 1 | 5 | Sampling plan |
| 1 | 4 | - | - | Sustainability |
| 1 | 2 | - | - | Fits supply chain |
| ●3 | ● | - | - | Corporate culture |
| ● | ● | - | - | Secure supply of materials |
| ● | ● | - | - | “Green” technology |
1 Number of participants ranking this response as one of the five most important. 2 Weighted priority score, with each voting member ranking their top five topics. Five points assigned to the most important response and one point to the least significant of the important responses. 3 This response provided by one or more members of the group when ideas were listed, but was not identified as one of the five most important responses by any member of the group. 4 This response not provided by any member of the group.
Nominal group responses to CDM Question 3. Identify key elements that make a method suitable to be implemented in developing countries with poor resources and limited analytical capabilities.
| CDM 1 | CDM 2 | Response | ||
|---|---|---|---|---|
| # 1 | # | |||
| 6 | 26 | 2 | 5 | Cost |
| 4 | 11 | 4 | 14 | Simple extraction, purification and QC |
| 2 | 4 | 4 | 11 | On site and support training from company |
| 2 | 8 | 2 | 8 | Analytical performance/validation well-established |
| ●3 | ● | 3 | 6 | Ready to use (tool box) |
| 6 | 16 | 4 | - | Robustness/stability |
| - | - | 5 | 17 | Significant shelf life if cold chain unavailable |
| 5 | 15 | - | - | Independent of electricity/infrastructure |
| - | - | 4 | 6 | Equipment is easy to maintain and repair |
| 3 | 3 | - | - | Rapid method |
| - | - | 2 | 7 | Solar power available for instruments |
| - | - | 1 | 5 | Know-how is in the product and not required of the operator |
| 1 | 4 | - | - | Secure supply of required materials |
| - | - | 1 | 4 | Instrument free detection ability |
| 1 | 3 | - | - | Wide applicability |
| ● | ● | ● | ● | Link to smart phone |
| ● | ● | - | - | No solvents needed (other than water) |
| - | - | ● | ● | Portable |
1 Number of participants ranking this response as one of the five most important. 2 Weighted priority score, with each voting member ranking their top five topics. Five points assigned to the most important response and one point to the least significant of the important responses. 3 This response provided by one or more members of the group when ideas were listed, but was not identified as one of the five most important responses by any member of the group. 4 This response not provided by any member of the group.
Nominal group responses to CDM Question 4. Methods for official control purposes are becoming more heavily reliant on multi-mycotoxin analyses. Identify current QC procedures and/or metrological tools that are efficient for official control and accredited methods. Are inter-laboratory validated methods of analysis still needed?
| CDM 1 | CDM 2 | Response | ||
|---|---|---|---|---|
| # 1 | # | |||
| 4 | 15 | 2 | 3 | Internally labelled standards |
| 2 | 9 | 3 | 9 | Certified reference materials |
| 2 | 6 | 2 | 4 | Inter-laboratory ring trials/PT-tests |
| 1 | 2 | 3 | 9 | Blanks |
| 1 | 2 | 1 | 1 | Test kit validation programs |
| ●3 | ● | 4 | 11 | Measurement uncertainty protocol |
| 4 | - | 4 | 15 | Mandatory participation in multi-mycotoxin ring trials and PT tests with demonstrable good performance |
| 4 | 12 | - | - | Staff training |
| 4 | 11 | - | - | Instrument calibration |
| - | - | 3 | 6 | Validation document similar to “Sante” document for pesticides |
| 2 | 10 | - | - | QC material |
| - | - | 2 | 10 | Criteria for calculating and evaluating LOQ (Limit of Quantificatioon, scientific, not legislative) |
| 2 | 5 | - | - | Standardized sampling protocols, e.g., GIPSA (Grain Inspection, Packers and Stockyards Administration) |
| 2 | 2 | - | - | Laboratory accreditation |
| 2 | 5 | - | - | Standardized protocol list |
| 2 | 5 | - | - | Standardized sample list |
| 1 | 4 | - | - | Following ISO/AOAC protocols |
| - | - | 1 | 4 | Agreement between “performance criteria” and “fitness for purpose” approaches |
| 1 | 3 | - | - | Acceptance criteria for matrix effects |
| 1 | 2 | - | - | Sample tracking |
| 1 | 2 | - | - | Lab management system |
| ● | ● | - | - | Normalized retention indices |
| ● | ● | - | - | Regulation of validation parameters |
1 Number of participants ranking this response as one of the five most important. 2 Weighted priority score, with each voting member ranking their top five topics. Five points assigned to the most important response and one point to the least significant of the important responses. 3 This response provided by one or more members of the group when ideas were listed, but was not identified as one of the five most important responses by any member of the group. 4 This response not provided by any member of the group. ISO = International Standard Organization. AOAC = Association of Official Analytical Chemists.
Nominal Group responses to GB Question 1. How can cellular signals/regulators/ metabolites that alter mycotoxin production/stability, but are not associated with an individual mycotoxin or cluster, be identified and/or characterized?
| GB 1 | GB 2 | Response | ||
|---|---|---|---|---|
| # 1 | # | |||
| 5 | 16 | 6 | 23 | Comparative studies under different stress conditions |
| 2 | 2 | 3 | 4 | Systematic knockout of all genes in a producing fungal species |
| 3 | 8 | 1 | 2 | Comparative genomics in silico |
| 1 | 4 | 2 | 3 | RNAi of stress responsive genes |
| ●3 | ● | 4 | 11 | Evaluate random mutations |
| -4 | - | 7 | 32 | RNA Seq of fungal and plant genes |
| - | - | 7 | 19 | Metabolomics—host-pathogen interactions & other compounds/organisms |
| 6 | 24 | - | - | Saturation mutagenesis by transposon and screening |
| - | - | 6 | 12 | Gene network analysis |
| 5 | 18 | - | - | Prediction and knockout of transcription factor genes |
| 5 | 14 | - | - | Screen expressed cDNA libraries for enhanced mycotoxin production |
| 4 | 10 | - | - | Evaluate already published transcriptomic data |
| - | - | 3 | 10 | Screen metabolites by challenging pathogens with candidate compounds |
| 3 | 6 | - | - | Affinity chromatography of promoter sequences |
| - | - | 1 | 4 | Quantitative PCR |
| 1 | 3 | - | - | Synthetic biology and bioinformatics |
| ● | ● | - | - | Evaluation of natural variation |
| ● | ● | - | - | Comparative metabolomics |
| - | - | ● | ● | Analyze intermediate metabolic products |
| - | - | ● | ● | Compare volatile compound profiles |
| - | - | ● | ● | Comparative proteomics of strains |
| - | - | ● | ● | Evaluate end-product metabolism |
1 Number of participants ranking this response as one of the five most important. 2 Weighted priority score, with each voting member ranking their top five topics. Five points assigned to the most important response and one point to the least significant of the important responses. 3 This response provided by one or more members of the group when ideas were listed, but was not identified as one of the five most important responses by any member of the group. 4 This response not provided by any member of the group.
Nominal group responses to GB Question 2. What microbiome studies are needed to understand the importance and impact of mycotoxins (in native and agricultural ecosystems, human and animal health, etc.)?
| GB 1 | GB 2 | Response | ||
|---|---|---|---|---|
| # 1 | # | |||
| 4 | 13 | 5 | 21 | Metagenomics of human and animal intestinal microbes, including rumen |
| 5 | 16 | 4 | 14 | Effect of environment/management on microbiome in the soil/plant |
| 4 | 19 | 3 | 10 | Transcriptomics of microbial communities of specific crops exposed to mycotoxins |
| 3 | 12 | 1 | 5 | Metagenomics of plant microbiome |
| ●3 | ● | 5 | 13 | Microbiome changes over life cycle and/or disease cycle |
| -4 | - | 4 | 9 | Model climate change effects on microbiome composition |
| - | - | 3 | 8 | Probiotic effects on human and animal gut microbiomes |
| - | - | 3 | 8 | Natural fermentation microbiome |
| - | - | 3 | 7 | Effect of biocontrol on plant/soil microbiome |
| 3 | 6 | - | - | Effect of fungicide on soil and plant microbes of treated crops |
| 3 | 6 | - | - | Genome sequencing of microbes in crop microbiome |
| 3 | 5 | - | - | Effect of mycotoxins on microbiome of harvested crops in storage |
| 2 | 7 | - | - | Microbiomes of crop residues and weeds |
| - | - | 2 | 7 | Microbiomes of resistant and susceptible host lines |
| 2 | 6 | - | - | Microbiomes of agricultural field soil |
| 2 | 5 | - | - | Microbiomes of native/non-cultivated plants |
| 2 | 5 | - | - | Microbiome of feed products |
| 1 | 3 | - | - | Microbiome in the air |
| 1 | 2 | - | - | Experimental ecology with microbes from plant microbiome |
| - | - | 1 | 2 | Effects of mycorrhizae on soil microbiome |
| - | - | 1 | 1 | Rhizosphere microbiome following exposure to toxin-producing and toxin-nonproducing strains |
| ● | ● | - | - | Effects of mycotoxins on plant endophytes |
1 Number of participants ranking this response as one of the five most important. 2 Weighted priority score, with each voting member ranking their top five topics. Five points assigned to the most important response and one point to the least significant of the important responses. 3 This response provided by one or more members of the group when ideas were listed, but was not identified as one of the five most important responses by any member of the group. 4 This response not provided by any member of the group.
Nominal group responses to GB Question 3. Plant/fungal interactions that increase/decrease mycotoxin biosynthesis occur. How should these interactions be identified/characterized/exploited?
| GB 1 | GB 2 | Response | ||
|---|---|---|---|---|
| # 1 | # | |||
| 6 | 23 | 4 | 15 | Transcriptomic analyses of plant-fungal interactions with toxin-producing and toxin non-producing strains |
| 6 | 18 | -4 | - | RNAi of targeted plant genes to study effects on mycotoxin production |
| 6 | 17 | - | - | Transcriptomics of target genes in plants and fungi under different conditions |
| - | - | 5 | 18 | Comparative studies with different pathogen/host combinations |
| - | - | 5 | 15 | Stress conditions |
| 4 | 15 | - | - | Comparative fungal transcriptomics in planta and in vitro |
| 4 | 13 | - | - | Metabolomics of plant-fungal interactions |
| - | - | 4 | 11 | Characterize plant defense responses |
| 4 | 6 | - | - | Quantify mycotoxin production in culture with different plant components |
| - | - | 4 | 6 | Competition |
| - | - | 3 | 10 | Conducive studies: identify conditions that favor toxin production |
| - | - | 3 | 10 | Gene splicing |
| - | - | 3 | 9 | Marker assisted breeding |
| - | - | 2 | 8 | Biocontrol |
| - | - | 2 | 7 | Detoxification and evaluation of breakdown products |
| 2 | 6 | - | - | Examine genetic variation in plants that affect mycotoxins |
| 2 | 3 | - | - | RNAi study of plants exposed to mycotoxin producing fungi |
| - | - | 2 | 4 | Gene editing to produce novel proteins and metabolites |
| - | - | 2 | 4 | Antagonistic conditions |
| 1 | 4 | - | - | Identify and knock out fungal effectors to determine impact on mycotoxin production |
| - | - | 1 | 3 | Overexpress plant defense genes |
| - | - | ●3 | ● | Symbiotic relationships between plants and microorganisms |
1 Number of participants ranking this response as one of the five most important. 2 Weighted priority score, with each voting member ranking their top five topics. Five points assigned to the most important response and one point to the least significant of the important responses. 3 This response provided by one or more members of the group when ideas were listed, but was not identified as one of the five most important responses by any member of the group. 4 This response not provided by any member of the group.
Nominal Group responses to GB Question 4. How can knowledge of fungal gene regulation and biodiversity be applied to the reduction/management of mycotoxin production and the remediation of mycotoxin contaminated materials?
| GB 1 | GB 2 | Response | ||
|---|---|---|---|---|
| # 1 | # | |||
| 7 | 28 | 5 | 20 | Use atoxigenic strains (as a biocontrol) |
| 3 | 7 | 8 | 27 | RNAi induced gene silencing |
| 6 | 21 | 4 | 8 | Identify microbes and enzymes capable of degrading mycotoxins |
| 2 | 4 | ●3 | ● | Competition and interaction with bacteria |
| -4 | - | 5 | 16 | Agronomic management to promote beneficial organisms |
| 5 | 12 | - | - | Modify environmental conditions to inhibit mycotoxin biosynthetic genes |
| 4 | 13 | - | - | Identify substances that suppress expression of mycotoxin biosynthetic genes |
| 3 | 11 | - | - | Competition between different species |
| - | - | 3 | 10 | Avoid stress (on fungus) |
| 3 | 8 | - | - | Mycotoxin- mutants as a biocontrol strategy |
| - | - | 3 | 8 | Engineered bioremediation/detoxifying organisms |
| 3 | 7 | - | - | Incorporate knowledge of fungal biodiversity into plant breeding programs |
| 2 | 7 | - | - | Develop strategy based on knowledge of fungal ecology |
| - | - | 2 | 6 | Modeling software |
| - | - | 2 | 6 | Impact of chemical control on fungal metabolites |
| - | - | 2 | 4 | Biodiversity dynamics: relationship with toxin production and regulation |
| 2 | 3 | - | - | Use yeast (cell wall) to absorb mycotoxin(s) |
| - | - | 2 | 3 | Crop rotation |
| - | - | 1 | 4 | Fermentation to reduce toxins |
| - | - | 1 | 4 | Biofumigation |
| - | - | 1 | 3 | Down regulation of transcription factors |
| - | - | 1 | 1 | Toxin production by different species on different host cultivars |
| ● | ● | - | - | Apply conditions that suppress mycotoxin synthesis to stored products |
| - | - | ● | ● | Improved biocontrol |
| - | - | ● | ● | Rapid detection for monitoring by PCR or hybridization |
| - | - | ● | ● | Spray-Induced Gene Silencing (SIGS) |
1 Number of participants ranking this response as one of the five most important. 2 Weighted priority score, with each voting member ranking their top five topics. Five points assigned to the most important response and one point to the least significant of the important responses. 3 This response provided by one or more members of the group when ideas were listed, but was not identified as one of the five most important responses by any member of the group. 4 This response not provided by any member of the group.
Nominal group responses to Common Question 5. What information should be generated or questions answered now for research in this area to progress after the current project ends in 2020?
| CDM 1 | CDM 2 | GB 1 | GB 2 | Response | ||||
|---|---|---|---|---|---|---|---|---|
| # 1 | # | # | # | |||||
| 3 | 10 | -4 | - | 6 | 25 | 1 | 4 | Climate change effects on toxigenic organisms and mycotoxin production |
| - | - | - | - | 5 | 11 | 4 | 12 | Improved understanding of host-pathogen interactions |
| 5 | 16 | - | - | 3 | 12 | - | - | Understand biocontrol effectiveness and mode of action |
| 2 | 5 | - | - | - | - | 6 | 16 | Improved modeling/predictive capabilities |
| 4 | 13 | - | - | - | - | 3 | 12 | New integrated technologies for disease/mycotoxin prevention/control |
| 2 | 7 | 4 | 6 | - | - | - | - | Spreading information/training on quality control/assurance for multi-mycotoxin methods for HAACP and/or official control |
| 1 | 1 | - | - | - | - | 2 | 6 | Global knowledge sharing and cooperation |
| ●3 | ● | 4 | 15 | - | - | - | - | Protocol for evaluating and comparing performance of rapid methods |
| 2 | 4 | - | - | - | - | ● | ● | SOPs for farming practices to minimize mycotoxin contamination |
| - | - | 5 | 24 | - | - | - | - | Meta-study on the findings of all previously-funded EU mycotoxin projects |
| - | - | 5 | 14 | - | - | - | - | A database with links to documents relevant for mycotoxin researchers. Access via the MycoKey web site |
| - | - | - | - | 4 | 13 | - | - | Increase knowledge of fungal gene regulation to reduce/prevent mycotoxin production |
| - | - | - | - | - | - | 4 | 13 | Health impacts of combinations/interactions among mycotoxins |
| - | - | - | - | - | - | 4 | 12 | Validation of technology applications in the field |
| - | - | 4 | 11 | - | - | - | - | Simplified, harmonized procedure for measurement uncertainty calculation |
| - | - | - | - | 4 | 9 | - | - | Interactions of toxigenic fungi in different ecological conditions and impact on mycotoxin production |
| - | - | - | - | - | - | 3 | 9 | Detailed economic analysis of impacts of mycotoxins |
| - | - | - | - | 3 | 8 | - | - | Whole genome sequencing of toxigenic fungi at the population level |
| - | - | - | - | 3 | 8 | - | - | Identify sources of mycotoxin detoxification |
| - | - | - | - | - | - | 3 | 8 | Risk assessment of human/animal exposure to validate intervention strategies |
| - | - | - | - | 3 | 7 | - | - | Predict which mycotoxins suppressed in MycoKey will come back in the future |
| - | - | - | - | - | - | 3 | 7 | Effects of climate change on predictive models |
| 2 | 10 | - | - | - | - | - | - | Development/implementation of mobile app |
| - | - | - | - | - | - | 2 | 8 | End-user benefits |
| - | - | - | - | 2 | 7 | - | - | Increase knowledge of toxigenic fungi world wide |
| 2 | 6 | - | - | - | - | - | - | Increased European Union-China cooperation |
| - | - | - | - | 2 | 6 | - | - | CRISPR/CAS protocol to modify toxigenic fungi for biocontrol |
| - | - | - | - | 2 | 5 | - | - | Define correct species for mycotoxin-producing strains |
| - | - | - | - | - | - | 2 | 5 | Adaptability of strategies to other crops/food chains |
| 2 | 3 | - | - | - | - | - | - | Interlaboratory validation beyond state of the art |
| - | - | 2 | 3 | - | - | - | - | Low cost methods: Identification of methods |
| 2 | 2 | - | - | - | - | - | - | Management of contaminated materials |
| 1 | 5 | - | - | - | - | - | - | Green technologies for reducing mycotoxin exposure |
| - | - | - | - | 1 | 5 | - | - | Define biodiversity of atoxigenic |
| 1 | 4 | - | - | - | - | - | - | New remediation protocols |
| 1 | 4 | - | - | - | - | - | - | Effectiveness of binders/detoxifiers |
| - | - | - | - | 1 | 3 | - | - | Develop novel biocontrol strategy(ies) using yeasts and/or bacteria |
| - | - | - | - | - | - | 1 | 3 | Smart labeling environmental sensing |
| - | - | - | - | - | - | 1 | 3 | Efficacy of RNAi under field condition |
| - | - | 1 | 2 | - | - | - | - | Identify topics to be addressed |
| - | - | - | - | - | - | 1 | 2 | Specific targets in pathogens |
| - | - | - | - | 1 | 1 | - | - | How to identify/monitor emerging mycotoxins |
| ● | ● | - | - | - | - | - | - | Resistant host plant varieties |
| ● | ● | - | - | - | - | - | - | Masked/modified mycotoxins |
| - | - | - | - | ● | ● | - | - | Identify suppressor(s) of mycotoxin biosynthesis |
| - | - | - | - | ● | ● | - | - | Identify biocontrol agents of |
| - | - | - | - | - | - | ● | ● | Specialization of fungi to host species |
| - | - | - | - | - | - | ● | ● | Analysis of the impact of regulations |
1 Number of participants ranking this response as one of the five most important. 2 Weighted priority score, with each voting member ranking their top five topics. Five points assigned to the most important response and one point to the least significant of the important responses. 3 This response provided by one or more members of the group when ideas were listed, but was not identified as one of the five most important responses by any member of the group. 4 This response not provided by any member of the group.
Nominal group responses to Common Question 6. What do people outside the scientific community need to know about mycotoxins?
| CDM 1 | CDM 2 | GB 1 | GB 2 | Response | ||||
|---|---|---|---|---|---|---|---|---|
| # 1 | # | # | # | |||||
| 3 | 10 | 5 | 19 | 8 | 35 | -4 | - | Good communication of occurrence of and impacts from mycotoxin contamination |
| 3 | 6 | 2 | 5 | 7 | 15 | - | - | Toxins are “natural”. Organic food may be more contaminated than conventional food. |
| 2 | 6 | 2 | 7 | - | - | 8 | 28 | Impact on human and animal health |
| 3 | 5 | 4 | 6 | - | - | 3 | 11 | Economic impact of mycotoxins |
| 1 | 1 | - | - | ●3 | ● | 6 | 23 | Risk of mycotoxin exposure depends on diet |
| 1 | 4 | - | - | 4 | 7 | 1 | 2 | Tools/strategies exist for mycotoxin management |
| 5 | 25 | - | - | 5 | 14 | - | - | What are mycotoxins? |
| - | - | 2 | 8 | - | - | 4 | 6 | Sensitize farmers to the problem of mycotoxins so that they will invest money and effort to generate high quality products |
| ● | ● | 4 | 11 | - | - | - | - | Things consumers can do themselves, e.g., check for mold, food handling to prevent spoilage |
| ● | ● | - | - | 3 | 8 | - | - | Non-dietary sources, e.g., indoor air |
| ● | ● | - | - | - | - | 1 | 3 | Mycotoxins can be identified and analyzed |
| 1 | 1 | - | - | - | - | ● | ● | Good food safety system needed in developing countries |
| ● | ● | - | - | - | - | ● | ● | Good food safety systems exist in developed countries |
| - | - | - | - | 7 | 23 | - | - | Mycotoxins are a food and feed safety problem |
| - | - | - | - | 4 | 12 | - | - | Mycotoxins are as dangerous as pesticides and heavy-metal residues |
| - | - | - | - | - | - | 4 | 8 | Mycotoxins are an invisible hazard |
| - | - | 3 | 12 | - | - | - | - | Learn how to obtain official information rather than relying on radio, TV, newspapers and social media |
| - | - | - | - | - | - | 3 | 11 | Need for research funding |
| 3 | 10 | - | - | - | - | - | - | Highest dietary risk factor |
| 3 | 8 | - | - | - | - | - | - | Scientists/authorities are working on mycotoxins |
| - | - | 3 | 7 | - | - | - | - | Safe food requires good manufacturing, monitoring and suitable crops |
| - | - | - | - | - | - | 3 | 7 | Proper grain storage practices |
| - | - | - | - | - | - | 2 | 8 | Health risk assessment for each mycotoxin |
| 2 | 6 | - | - | - | - | - | - | Mycotoxin occurrence in different commodities |
| - | - | - | - | - | - | 2 | 4 | Risks can occur at any stage of the food chain |
| - | - | - | - | - | - | 1 | 4 | Factors conducive to mycotoxin occurrence |
| - | - | - | - | - | - | 1 | 4 | Recognition of mycotoxin producing fungi |
| 1 | 3 | - | - | - | - | - | - | Highest prevalence |
| 1 | 3 | - | - | - | - | - | - | They are a historical problem |
| - | - | - | - | - | - | 1 | 3 | Relative risk of mycotoxins compared with other food safety problems |
| 1 | 2 | - | - | - | - | - | - | Problems with food security |
| - | - | - | - | - | - | 1 | 1 | Thermal stability of most mycotoxins |
| ● | ● | - | - | - | - | - | - | Problems may shift due to climate change |
| ● | ● | - | - | - | - | - | - | Problem is not the moldy food in the refrigerator |
| - | - | ● | ● | - | - | - | - | Information on HAACP protocols |
| - | - | - | - | ● | ● | - | - | Risks of consuming mycotoxin contaminated food/feed |
| - | - | - | - | - | - | ● | ● | Awareness of legislation and regulations |
| - | - | - | - | - | - | ● | ● | Presence of fungi does not mean mycotoxins are present |
| - | - | - | - | - | - | ● | ● | Impact of climate |
1 Number of participants ranking this response as one of the five most important. 2 Weighted priority score, with each voting member ranking their top five topics. Five points assigned to the most important response and one point to the least significant of the important responses. 3 This response provided by one or more members of the group when ideas were listed, but was not identified as one of the five most important responses by any member of the group. 4 This response not provided by any member of the group.