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Utilization of—Omic technologies in cold climate hydrocarbon bioremediation: a text-mining approach

Hydrocarbon spills in cold climates are a prominent and enduring form of anthropogenic contamination. Bioremediation is one of a suite of remediation tools that has emerged as a cost-effective strategy for transforming these contaminants in soil, ideally into less harmful products. However, little i...

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Detalles Bibliográficos
Autores principales: Abdullah, Kristopher, Wilkins, Daniel, Ferrari, Belinda C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313077/
https://www.ncbi.nlm.nih.gov/pubmed/37396353
http://dx.doi.org/10.3389/fmicb.2023.1113102
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author Abdullah, Kristopher
Wilkins, Daniel
Ferrari, Belinda C.
author_facet Abdullah, Kristopher
Wilkins, Daniel
Ferrari, Belinda C.
author_sort Abdullah, Kristopher
collection PubMed
description Hydrocarbon spills in cold climates are a prominent and enduring form of anthropogenic contamination. Bioremediation is one of a suite of remediation tools that has emerged as a cost-effective strategy for transforming these contaminants in soil, ideally into less harmful products. However, little is understood about the molecular mechanisms driving these complex, microbially mediated processes. The emergence of −omic technologies has led to a revolution within the sphere of environmental microbiology allowing for the identification and study of so called ‘unculturable’ organisms. In the last decade, −omic technologies have emerged as a powerful tool in filling this gap in our knowledge on the interactions between these organisms and their environment in vivo. Here, we utilize the text mining software Vosviewer to process meta-data and visualize key trends relating to cold climate bioremediation projects. The results of text mining of the literature revealed a shift over time from optimizing bioremediation experiments on the macro/community level to, in more recent years focusing on individual organisms of interest, interactions within the microbiome and the investigation of novel metabolic degradation pathways. This shift in research focus was made possible in large part by the rise of omics studies allowing research to focus not only what organisms/metabolic pathways are present but those which are functional. However, all is not harmonious, as the development of downstream analytical methods and associated processing tools have outpaced sample preparation methods, especially when dealing with the unique challenges posed when analyzing soil-based samples.
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spelling pubmed-103130772023-07-01 Utilization of—Omic technologies in cold climate hydrocarbon bioremediation: a text-mining approach Abdullah, Kristopher Wilkins, Daniel Ferrari, Belinda C. Front Microbiol Microbiology Hydrocarbon spills in cold climates are a prominent and enduring form of anthropogenic contamination. Bioremediation is one of a suite of remediation tools that has emerged as a cost-effective strategy for transforming these contaminants in soil, ideally into less harmful products. However, little is understood about the molecular mechanisms driving these complex, microbially mediated processes. The emergence of −omic technologies has led to a revolution within the sphere of environmental microbiology allowing for the identification and study of so called ‘unculturable’ organisms. In the last decade, −omic technologies have emerged as a powerful tool in filling this gap in our knowledge on the interactions between these organisms and their environment in vivo. Here, we utilize the text mining software Vosviewer to process meta-data and visualize key trends relating to cold climate bioremediation projects. The results of text mining of the literature revealed a shift over time from optimizing bioremediation experiments on the macro/community level to, in more recent years focusing on individual organisms of interest, interactions within the microbiome and the investigation of novel metabolic degradation pathways. This shift in research focus was made possible in large part by the rise of omics studies allowing research to focus not only what organisms/metabolic pathways are present but those which are functional. However, all is not harmonious, as the development of downstream analytical methods and associated processing tools have outpaced sample preparation methods, especially when dealing with the unique challenges posed when analyzing soil-based samples. Frontiers Media S.A. 2023-06-16 /pmc/articles/PMC10313077/ /pubmed/37396353 http://dx.doi.org/10.3389/fmicb.2023.1113102 Text en Copyright © 2023 Abdullah, Wilkins and Ferrari. 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
Abdullah, Kristopher
Wilkins, Daniel
Ferrari, Belinda C.
Utilization of—Omic technologies in cold climate hydrocarbon bioremediation: a text-mining approach
title Utilization of—Omic technologies in cold climate hydrocarbon bioremediation: a text-mining approach
title_full Utilization of—Omic technologies in cold climate hydrocarbon bioremediation: a text-mining approach
title_fullStr Utilization of—Omic technologies in cold climate hydrocarbon bioremediation: a text-mining approach
title_full_unstemmed Utilization of—Omic technologies in cold climate hydrocarbon bioremediation: a text-mining approach
title_short Utilization of—Omic technologies in cold climate hydrocarbon bioremediation: a text-mining approach
title_sort utilization of—omic technologies in cold climate hydrocarbon bioremediation: a text-mining approach
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313077/
https://www.ncbi.nlm.nih.gov/pubmed/37396353
http://dx.doi.org/10.3389/fmicb.2023.1113102
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