Agroindustrial waste, such as fruit residues, are a renewable, abundant, low-cost, commonly-used carbon source. Biosurfactants are molecules of increasing interest due to their multifunctional properties, biodegradable nature and low toxicity, in comparison to synthetic surfactants. A better understanding of the associated microbial communities will aid prospecting for biosurfactant-producing microorganisms. In this study, six samples of fruit waste, from oranges, mangoes and mixed fruits, were subjected to autochthonous fermentation, so as to promote the growth of their associated microbiota, followed by short-read metagenomic sequencing. Using the DIAMOND+MEGAN analysis pipeline, taxonomic analysis shows that all six samples are dominated by Proteobacteria, in particular, a common core consisting of the genera Klebsiella, Enterobacter, Stenotrophomonas, Acinetobacter and Escherichia. Functional analysis indicates high similarity among samples and 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. To simplify 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. These results indicate that microbiota obtained from autochthonous fermentation have the genetic potential for biosynthesis of biosurfactants, suggesting that fruit wastes may provide a source of biosurfactant-producing microorganisms, with applications in the agricultural, chemical, food and pharmaceutical industries.
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.
Plants and their derivatives, such as fruits, can be inhabited by different bacteria. However, this microbiota is still poorly studied. Among the wide variety of metabolites that bacteria produce, biosurfactants have been identified as potential molecules in the development of bioprocesses for various industrial sectors. In this work, we analyzed and compared the microbiota of fruit residues (mango and orange), in order to compare two possible sources of bioprospecting. For this, a bioinformatics approach was used to perform the taxonomic analysis and the prediction of the functional profile of the microbiota present in the samples. The results showed that the microbiota present in both fruit residues have the potential in biotechnological applications to produce biosurfactants, as these microbiota have genes related to the biosynthesis of these compounds. The common core of the microbiota present in the samples—Stenotrophomonas, Klebsiella, Serratia and Citrobacter—proved, according to the literature, to be composed of biosurfactant producers, showing the biosurfactant potential of the bacteria isolated from orange and mango residues.
RESUMO Biossurfactantes são moléculas multifuncionais produzidas por microrganismos e podem apresentar vantagens em relação aos surfactantes sintéticos, como baixa toxicidade, alta biodegradabilidade, maior redução da tensão superficial e alta diversidade química. No entanto, a produção em escala comercial ainda é escassa devido ao elevado custo dos substratos utilizados. Portanto, no presente trabalho foi avaliada a produção de biossurfactantes utilizando diferentes óleos como fonte de carbono, como óleo de soja, óleo de fritura, óleo diesel, óleo lubrificante novo e usado, a partir de dois gêneros de bactérias isoladas de lodo indústria de cosméticos e solo contaminado com óleo diesel, Lysinibacillus sp. e Bacillus sp. respectivamente. Estas foram identificadas por sequenciamento do fragmento do gene RNAr 16S e mantidas sob refrigeração a 4 ºC em tubos de ensaio, com ágar triptona de soja. Os ensaios de produção foram realizados sob agitação de 200 rpm a 30 °C com duração de 7 dias. A produção de biossurfactante foi analisada pela atividade emulsificante, índice emulsificação e por colapso da gota. As bactérias utilizadas produziram biossurfactante em todos os tipos de óleos testados. O óleo de soja mostrou-se o melhor substrato para produção de biossurfactante a partir do Lysinibacillus sp. e Bacillus sp. com índice de emulsificação de 50 % e 46,63 %, respectivamente.
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