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Interactive Analysis of Biosurfactants in Fruit-Waste Fermentation Samples using BioSurfDB and MEGAN

Gabriela Fiori da Silva, Anupam Gautam, Iolanda Cristina Silveira Duarte, Tiago Palladino Delforno, Valéria Maia de Oliveira, Daniel H. Huson
doi: https://doi.org/10.1101/2021.11.11.468240
Gabriela Fiori da Silva
1Department of Biology, Federal University of São Carlos, Rodovia João Leme dos Santos km 110 SP-264, Bairro Itinga, Sorocaba - SP, 18052-780, Brazil
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Anupam Gautam
2Institute for Bioinformatics and Medical Informatics, University of Tübingen, Sand 14, 72076 Tübingen, Germany
3International Max Planck Research School “From Molecules to Organisms”, Max Planck Institute for Developmental Biology, Max-Planck-Ring 5, 72076 Tübingen, Germany
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Iolanda Cristina Silveira Duarte
1Department of Biology, Federal University of São Carlos, Rodovia João Leme dos Santos km 110 SP-264, Bairro Itinga, Sorocaba - SP, 18052-780, Brazil
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Tiago Palladino Delforno
4Innovation Institute for Biotechnology (SENAI-Biotech), Rua Anhaia, 1321, Bom Retiro - SP, 01130-000, Brazil
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Valéria Maia de Oliveira
5Microbial Resources Division, Research Center for Chemistry, Biology and Agriculture, University of Campinas, Campinas - SP, 13083-970, Brazil
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Daniel H. Huson
2Institute for Bioinformatics and Medical Informatics, University of Tübingen, Sand 14, 72076 Tübingen, Germany
3International Max Planck Research School “From Molecules to Organisms”, Max Planck Institute for Developmental Biology, Max-Planck-Ring 5, 72076 Tübingen, Germany
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  • For correspondence: daniel.huson@uni-tuebingen.de
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ABSTRACT

Microbial biosurfactants are of major interest due to their multifunctional properties, biodegradable nature and low toxicity. Agroindustrial waste, such as fruit waste, can be used as substrates for producing bacteria. In this study, six samples of fruit waste, from oranges, mangoes and mixed fruits, were self-fermented, and then subjected to short-read metagenomic sequencing, so as to allow assessment of the potential of the associated microbiota for biosurfactant production. Taxonomic analysis using the DIAMOND+MEGAN analysis pipeline shows that all six samples are dominated by Proteobacteria, in particular, a common core consisting of the genera Klebsiella, Enterobacter, Stenotrophomonas, Acinetobacter and Escherichia. To support the interactive visualization and exploration of the surfactant-related genes in such samples, we have integrated the BiosurfDB classification into MEGAN and make this available. Functional analysis indicates high similarity among samples and that a significant number of reads map to genes that are involved in the biosynthesis of lipopeptide-class biosurfactants. Gene-centric analysis reveals Klebsiella as the main assignment for genes related to putisolvins biosynthesis. This suggests that fruit waste is a promising substrate for fermentative processes because the associated microbiota may be able to produce biosurfactants that are potentially useful for the agricultural, chemical, food and pharmaceutical industries.

Competing Interest Statement

The authors have declared no competing interest.

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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-NC 4.0 International license.
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Posted November 13, 2021.
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Interactive Analysis of Biosurfactants in Fruit-Waste Fermentation Samples using BioSurfDB and MEGAN
Gabriela Fiori da Silva, Anupam Gautam, Iolanda Cristina Silveira Duarte, Tiago Palladino Delforno, Valéria Maia de Oliveira, Daniel H. Huson
bioRxiv 2021.11.11.468240; doi: https://doi.org/10.1101/2021.11.11.468240
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Interactive Analysis of Biosurfactants in Fruit-Waste Fermentation Samples using BioSurfDB and MEGAN
Gabriela Fiori da Silva, Anupam Gautam, Iolanda Cristina Silveira Duarte, Tiago Palladino Delforno, Valéria Maia de Oliveira, Daniel H. Huson
bioRxiv 2021.11.11.468240; doi: https://doi.org/10.1101/2021.11.11.468240

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