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Deep (Meta)genomics and (Meta)transcriptome Analyses of Fungal and Bacteria Consortia From Aircraft Tanks and Kerosene Identify Key Genes in Fuel and Tank Corrosion

Microbial contamination of fuels, associated with a wide variety of bacteria and fungi, leads to decreased product quality and can compromise equipment performance by biofouling or microbiologically influenced corrosion. Detection and quantification of microorganisms are critical in monitoring fuel...

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Autores principales: Krohn, Ines, Bergmann, Lutgardis, Qi, Minyue, Indenbirken, Daniela, Han, Yuchen, Perez-Garcia, Pablo, Katzowitsch, Elena, Hägele, Birgit, Lübcke, Tim, Siry, Christian, Riemann, Ralf, Alawi, Malik, Streit, Wolfgang R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525681/
https://www.ncbi.nlm.nih.gov/pubmed/34675897
http://dx.doi.org/10.3389/fmicb.2021.722259
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author Krohn, Ines
Bergmann, Lutgardis
Qi, Minyue
Indenbirken, Daniela
Han, Yuchen
Perez-Garcia, Pablo
Katzowitsch, Elena
Hägele, Birgit
Lübcke, Tim
Siry, Christian
Riemann, Ralf
Alawi, Malik
Streit, Wolfgang R.
author_facet Krohn, Ines
Bergmann, Lutgardis
Qi, Minyue
Indenbirken, Daniela
Han, Yuchen
Perez-Garcia, Pablo
Katzowitsch, Elena
Hägele, Birgit
Lübcke, Tim
Siry, Christian
Riemann, Ralf
Alawi, Malik
Streit, Wolfgang R.
author_sort Krohn, Ines
collection PubMed
description Microbial contamination of fuels, associated with a wide variety of bacteria and fungi, leads to decreased product quality and can compromise equipment performance by biofouling or microbiologically influenced corrosion. Detection and quantification of microorganisms are critical in monitoring fuel systems for an early detection of microbial contaminations. To address these challenges, we have analyzed six metagenomes, one transcriptome, and more than 1,200 fluid and swab samples taken from fuel tanks or kerosene. Our deep metagenome sequencing and binning approaches in combination with RNA-seq data and qPCR methods implied a metabolic symbiosis between fungi and bacteria. The most abundant bacteria were affiliated with α-, β-, and γ-Proteobacteria and the filamentous fungi Amorphotheca. We identified a high number of genes, which are related to kerosene degradation and biofilm formation. Surprisingly, a large number of genes coded enzymes involved in polymer degradation and potential bio-corrosion processes. Thereby, the transcriptionally most active microorganisms were affiliated with the genera Methylobacteria, Pseudomonas, Kocuria, Amorpotheka, Aspergillus, Fusarium, and Penicillium. Many not yet cultured bacteria and fungi appeared to contribute to the biofilm transcriptional activities. The largest numbers of transcripts were observed for dehydrogenase, oxygenase, and exopolysaccharide production, attachment and pili/flagella-associated proteins, efflux pumps, and secretion systems as well as lipase and esterase activity.
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spelling pubmed-85256812021-10-20 Deep (Meta)genomics and (Meta)transcriptome Analyses of Fungal and Bacteria Consortia From Aircraft Tanks and Kerosene Identify Key Genes in Fuel and Tank Corrosion Krohn, Ines Bergmann, Lutgardis Qi, Minyue Indenbirken, Daniela Han, Yuchen Perez-Garcia, Pablo Katzowitsch, Elena Hägele, Birgit Lübcke, Tim Siry, Christian Riemann, Ralf Alawi, Malik Streit, Wolfgang R. Front Microbiol Microbiology Microbial contamination of fuels, associated with a wide variety of bacteria and fungi, leads to decreased product quality and can compromise equipment performance by biofouling or microbiologically influenced corrosion. Detection and quantification of microorganisms are critical in monitoring fuel systems for an early detection of microbial contaminations. To address these challenges, we have analyzed six metagenomes, one transcriptome, and more than 1,200 fluid and swab samples taken from fuel tanks or kerosene. Our deep metagenome sequencing and binning approaches in combination with RNA-seq data and qPCR methods implied a metabolic symbiosis between fungi and bacteria. The most abundant bacteria were affiliated with α-, β-, and γ-Proteobacteria and the filamentous fungi Amorphotheca. We identified a high number of genes, which are related to kerosene degradation and biofilm formation. Surprisingly, a large number of genes coded enzymes involved in polymer degradation and potential bio-corrosion processes. Thereby, the transcriptionally most active microorganisms were affiliated with the genera Methylobacteria, Pseudomonas, Kocuria, Amorpotheka, Aspergillus, Fusarium, and Penicillium. Many not yet cultured bacteria and fungi appeared to contribute to the biofilm transcriptional activities. The largest numbers of transcripts were observed for dehydrogenase, oxygenase, and exopolysaccharide production, attachment and pili/flagella-associated proteins, efflux pumps, and secretion systems as well as lipase and esterase activity. Frontiers Media S.A. 2021-10-01 /pmc/articles/PMC8525681/ /pubmed/34675897 http://dx.doi.org/10.3389/fmicb.2021.722259 Text en Copyright © 2021 Krohn, Bergmann, Qi, Indenbirken, Han, Perez-Garcia, Katzowitsch, Hägele, Lübcke, Siry, Riemann, Alawi and Streit. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Krohn, Ines
Bergmann, Lutgardis
Qi, Minyue
Indenbirken, Daniela
Han, Yuchen
Perez-Garcia, Pablo
Katzowitsch, Elena
Hägele, Birgit
Lübcke, Tim
Siry, Christian
Riemann, Ralf
Alawi, Malik
Streit, Wolfgang R.
Deep (Meta)genomics and (Meta)transcriptome Analyses of Fungal and Bacteria Consortia From Aircraft Tanks and Kerosene Identify Key Genes in Fuel and Tank Corrosion
title Deep (Meta)genomics and (Meta)transcriptome Analyses of Fungal and Bacteria Consortia From Aircraft Tanks and Kerosene Identify Key Genes in Fuel and Tank Corrosion
title_full Deep (Meta)genomics and (Meta)transcriptome Analyses of Fungal and Bacteria Consortia From Aircraft Tanks and Kerosene Identify Key Genes in Fuel and Tank Corrosion
title_fullStr Deep (Meta)genomics and (Meta)transcriptome Analyses of Fungal and Bacteria Consortia From Aircraft Tanks and Kerosene Identify Key Genes in Fuel and Tank Corrosion
title_full_unstemmed Deep (Meta)genomics and (Meta)transcriptome Analyses of Fungal and Bacteria Consortia From Aircraft Tanks and Kerosene Identify Key Genes in Fuel and Tank Corrosion
title_short Deep (Meta)genomics and (Meta)transcriptome Analyses of Fungal and Bacteria Consortia From Aircraft Tanks and Kerosene Identify Key Genes in Fuel and Tank Corrosion
title_sort deep (meta)genomics and (meta)transcriptome analyses of fungal and bacteria consortia from aircraft tanks and kerosene identify key genes in fuel and tank corrosion
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525681/
https://www.ncbi.nlm.nih.gov/pubmed/34675897
http://dx.doi.org/10.3389/fmicb.2021.722259
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