There is a demand and widespread interest in evaluating microbial community structures and metabolic processes in hydrocarbon environments. The current work aims to detect microbial subgroups (phenotypic subsets) and their metabolic processes, such as substrate specificity and expression of niche-associated genes. In this study, we were able to discriminate different cell types in real time from a complex sample matrix to allow the detection of live, dead, and injured cell populations in jet fuels. We found that the expression of and genes is induced in a growth-dependent manner and induction started before . This indicates that as an early response of cells' exposure to alkanes, cells activate gene induction. Deletion of and genes completely inhibited ATCC 33988 growth in jet fuel, suggesting that two alkane monooxygenases are responsible for the degradation of alkanes and jet fuel. Interestingly, the AlkB2 has a broader (-C8-C16) substrate range compared to AlkB1 (-C12--C16). The data indicate that two alkane utilization pathways can coexist in ATCC 33988, and they are differentially expressed in response to -C6C16 alkanes found in jet fuel. This study provided additional information on the heterogeneity and phenotypic diversity within the same species after exposure to hydrocarbons. This work advances our understanding of microbial community structures and provides new insight into the alkane metabolism of .IMPORTANCEAlkane degradation allows for the natural breakdown of hydrocarbons found in crude oil, which can significantly contribute to environmental remediation. The metabolic process of microbes to hydrocarbons and the expression of niche-associated genes are not well understood. ATCC 33988, originally isolated from a jet fuel tank, degrades hydrocarbons effectively and outcompetes the type strain PAO1. In this study, we found differential expression of and alkane monooxygenase genes and the relative importance of these genes in alkane degradation. We found different phenotypic subsets within the same genotype, which are influenced by hydrocarbon stress. Overall, the research conducted in this study significantly contributes to our knowledge about microbial processes and community structure in hydrocarbon environments.
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http://dx.doi.org/10.1128/jb.00508-24 | DOI Listing |
J Bacteriol
March 2025
University of Dayton Research Institute, University of Dayton, Dayton, Ohio, USA.
There is a demand and widespread interest in evaluating microbial community structures and metabolic processes in hydrocarbon environments. The current work aims to detect microbial subgroups (phenotypic subsets) and their metabolic processes, such as substrate specificity and expression of niche-associated genes. In this study, we were able to discriminate different cell types in real time from a complex sample matrix to allow the detection of live, dead, and injured cell populations in jet fuels.
View Article and Find Full Text PDFBMC Genomics
April 2017
Biosciences and Biotechnology Division, Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, 94550, USA.
Background: Examination of complex biological systems has long been achieved through methodical investigation of the system's individual components. While informative, this strategy often leads to inappropriate conclusions about the system as a whole. With the advent of high-throughput "omic" technologies, however, researchers can now simultaneously analyze an entire system at the level of molecule (DNA, RNA, protein, metabolite) and process (transcription, translation, enzyme catalysis).
View Article and Find Full Text PDFAppl Environ Microbiol
May 2017
Fuels and Energy Branch, Aerospace Systems Directorate, Air Force Research Laboratory, Wright-Patterson AFB, Ohio, USA
can utilize hydrocarbons, but different strains have various degrees of adaptation despite their highly conserved genome. ATCC 33988 is highly adapted to hydrocarbons, while strain PAO1, a human pathogen, is less adapted and degrades jet fuel at a lower rate than does ATCC 33988. We investigated fuel-specific transcriptomic differences between these strains in order to ascertain the underlying mechanisms utilized by the adapted strain to proliferate in fuel.
View Article and Find Full Text PDFGenome Announc
November 2014
Air Force Research Laboratory, Aerospace Systems Directorate, Fuels and Energy Branch, Wright-Patterson AFB, Ohio, USA
Pseudomonas aeruginosa ATCC 33988 is highly adapted to grow in jet and diesel fuel, with a defined regulation of adaptive genes and metabolization of n-alkanes. The draft genome of strain ATCC 33988 is 6.4 Mb in size, with 5,975 coding sequences and 66.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!