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Genome mining as a biotechnological tool for the discovery of novel biosynthetic genes in lichens

View ORCID ProfileGarima Singh, View ORCID ProfileFrancesco Dal Grande, View ORCID ProfileImke Schmitt
doi: https://doi.org/10.1101/2022.05.04.490581
Garima Singh
1Senckenberg Biodiversity and Climate Research Centre (SBiK-F), 60325 Frankfurt am Main, Germany
2LOEWE Center for Translational Biodiversity Genomics (TBG), 60325 Frankfurt am Main, Germany
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  • For correspondence: garima.singh@senckenberg.de
Francesco Dal Grande
1Senckenberg Biodiversity and Climate Research Centre (SBiK-F), 60325 Frankfurt am Main, Germany
2LOEWE Center for Translational Biodiversity Genomics (TBG), 60325 Frankfurt am Main, Germany
3Department of Biology, University of Padova, Via U. Bassi, 58/B, 35121 Padova, Italy
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Imke Schmitt
1Senckenberg Biodiversity and Climate Research Centre (SBiK-F), 60325 Frankfurt am Main, Germany
2LOEWE Center for Translational Biodiversity Genomics (TBG), 60325 Frankfurt am Main, Germany
4Institute of Ecology, Diversity and Evolution, Goethe University, Frankfurt am Main, Germany
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Abstract

The ever-increasing demand for novel drugs highlights the need for bioprospecting unexplored taxa for their biosynthetic potential. Lichen-forming fungi (LFF) are a rich source of natural products but their implementation in pharmaceutical industry is limited, mostly because the genes corresponding to a majority of their natural products is unknown. Furthermore, it is not known to what extent these genes encode structurally novel molecules. Advance in next-generation sequencing technologies has expanded the range of organisms that could be exploited for their biosynthetic potential. In this study, we mine the genomes of nine lichen-forming fungal species of the genus Umbilicaria for biosynthetic genes, and categorize the BGCs as “associated product structurally known”, and “associated product putatively novel”. We found that about 25-30% of the biosynthetic genes are divergent when compared to the global database of BGCs comprising of 1,200,000 characterized biosynthetic genes from planta, bacteria and fungi. Out of 217 total BGCs, 43 were only distantly related to known BGCs, suggesting they encode structurally and functionally unknown natural products. Clusters encoding the putatively novel metabolic diversity comprise PKSs (30), NRPSs (12) and terpenes (1). Our study emphasizes the utility of genomic data in bioprospecting microorganisms for their biosynthetic potential and in advancing the industrial application of unexplored taxa. We highlight the untapped structural metabolic diversity encoded in the lichenized fungal genomes. To the best of our knowledge, this is the first investigation identifying genes coding for NPs with potentially novel therapeutic properties in LFF.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Emails: Garima Singh: garima.singh{at}senckenberg.de, gsingh458{at}gmail.com, Francesco Dal Grande: francesco.dalgrande{at}unipd.it, Imke Schmitt: imke.schmitt{at}senckenberg.de

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted May 04, 2022.
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Genome mining as a biotechnological tool for the discovery of novel biosynthetic genes in lichens
Garima Singh, Francesco Dal Grande, Imke Schmitt
bioRxiv 2022.05.04.490581; doi: https://doi.org/10.1101/2022.05.04.490581
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Genome mining as a biotechnological tool for the discovery of novel biosynthetic genes in lichens
Garima Singh, Francesco Dal Grande, Imke Schmitt
bioRxiv 2022.05.04.490581; doi: https://doi.org/10.1101/2022.05.04.490581

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