Metagenomic-based bioprospecting for novel mycotoxin-degrading enzymes to keep food and feed safe

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1Department of Applied Biocatalysis, ICP, CSIC, Marie Curie 2, Madrid, Spain 2PATENT CO, DOO., Vlade Ćetković 1A, 24 211 Mišićevo, Serbia
Manuel
Ferrer1, David Almendral1, Jog Raj2, Hunor Farkaš2 and Marko Vasiljević
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METAGENOMIC-BASED BIOPROSPECTIONG FOR NOVEL MYCOTOXIN-DEGRADING ENZYMES TO KEEP FOOD AND FEED SAFE

BACKGROUND

Many species of fungi capable of growing in grain and animal feed produce secondary metabolites called mycotoxins.

Mycotoxins, such as fumonisin FB1 (FB1) and T-2 toxin (Figure 1), are the biggest challenge for animal feed producers and therefore, regular monitoring and remediation is necessary, as these toxins can be very detrimental to humans and animals.

The economic loss attributed to mycotoxins in the agri-food sector is estimated to be billions of dollars, so the economic potential of protection or mycotoxin removal measures is correspondingly high.

There are already different measures available today, such as mechanical, thermic, or chemical approaches.

However, these approaches have, as an associated disadvantage, the possibility of generating unknown or unintended side products that may turn out to be as dangerous as the original toxin.

In this context, enzymatic detoxification is currently a very promising subject of research and development, as enzymes can remove the mycotoxins in a defined way.

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Figure 1. FB1 and T-2 toxin. The sites that can be potentially attacked by enzymes are highlighted in lilac.

Enzymes are proteins that catalyze biochemical reactions that have been making life possible since 3.8 billion years ago.

Scientists have been able to “domesticate” them in such a way that enzymes are now key players for the circular economy and for the processing, manufacturing, and consuming everyday products, both for humans and animals2

OBJECTIVE

Repowering the agri-food industry with enzymes capable of efficiently removing mycotoxins can contribute to keeping our food and feed safe and reducing carryover of mycotoxins from animals to humans.

However, the option to find such new enzymes, particularly those to degrade mycotoxins such as FB1 and T-2 toxin is challenging, costly, and time-consuming.

Indeed, only a few enzymes are known that degrade both toxins1

In this contribution, we provide a comprehensive overview of our synergetic platform to better bio-prospect environmental metagenomes for such novel rare enzymes.

We further provide experimental evidence that demonstrates the efficient degradation of FB1 and T-2 toxin by two novel hydrolases retrieved through naïve and bioinformatic screens.

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MATERIALS & METHODS

The option to find new enzymes, although challenging, costly (€30k/enzyme), and time-consuming (15 months/enzyme), it is realistic given the recent technological advances.

To fully exploit the potential of sequencing data and as a source of new enzymes it is essential to combine:

Bioinformatics

Machine-learning

Accurate protein structure prediction

Data-driven artificial intelligence techniques

Naïve screens with appropriate substrates

In order to access new enzymes capable of degrading mycotoxins, we have established a comprehensive and synergetic platform to better bio-prospect environmental metagenomes for novel rare enzymes (Figure 2)

It consists in the following steps:

1.Extraction and sequencing of DNA from microbial communities (the so-called metagenome) of a large number of environmental samples.

2.Bioinformatic processing of the sequences representing the metagenomes to filter for those enzymes in the metagenome that have the potential to degrade FB1 and T-2 toxin, namely, hydrolases

3.Computational docking analysis to further provided computational quantum/molecular mechanics (QM/MM) analysis to identify, by quantifying the catalytic events, which of the selected enzymes can bind and potentially degrade FB1 and T-2 toxin.

4. Finally, the experimental validation: gene synthesis, production, purification, and characterization.

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Sequencing

SYNERGISTIC COMPUTATIONAL

Computational Properties Prediction

Schematic workflow for the bioprospecting of enzymes capable of degrading toxins. Shown are the steps related to extraction, sequencing, assembling, annotation, and virtual screening of new enzymes from the metagenomes of environmental samples, followed by their accurate protein structure prediction, high throughput characterization, and iterative improvement by engineering (created with BioRender.com).

RESULTS

Through the application of our synergetic platform, we have successfully bio-prospected environmental metagenomes and found several FB1 and T-2 toxin degrading hydrolases, to highlight:

A family VIII esterase, isolated from the metagenomic DNA of microbial communities inhabiting the seashore area of Milazzo Harbor (Sicily, Italy), capable of degrading T-2 toxin (Figure 3) without producing intermediate HT-2 toxin 1

An esterase capable of degrading 2-10 ppm FB1 (100% degradation) after a 5-minute reaction time at concentrations as low as 5 µg/ml at 37-90 °C3

Hydrolysis by other hydrolases

Figure 3. (A) Structure of T-2 toxin. Different ester bonds that can be hydrolyzed are colored. Product(s) obtained by the degradation of T-2 toxin through the isovalerate group by the esterase EH7 (B) and by the hydrolysis of both acetates by different hydrolases (C).

REFERENCES

1. Cea-Rama I, Coscolín C, Gonzalez-Alfonso JL, Raj J, Vasiljević M, Plou FJ, Ferrer M, Sanz-Aparicio J. FEBS J. 2022;289(21):6714-6730.

2. Molina-Espeja, P. et al. Oxford Open Climate Change, 2023; kgad003, https://doi.org/10.1093/oxfclm/kgad003

3. Fumonisin removal by enzymatic detoxification - EP1641.1745

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A
Isovalerate Acetate 2 Acetate 1
B C
Hydrolysis by EH7

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