Developing a molecular tool for evaluating the status of petrochemical-contaminated soils using functional gene ratio strategy.

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Main Authors: Ibrahim, Aliyu Dabai, Rao, Juluri R, Kulakov, Anna, Dandare, Shamsudeen U, Doherty, Rory, Boyd, Mathew, Allen, Christopher C R
Format: Artículo científico
Language:en
Published: Letters in applied microbiology 2025
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author Ibrahim, Aliyu Dabai
Rao, Juluri R
Kulakov, Anna
Dandare, Shamsudeen U
Doherty, Rory
Boyd, Mathew
Allen, Christopher C R
author_facet Ibrahim, Aliyu Dabai
Rao, Juluri R
Kulakov, Anna
Dandare, Shamsudeen U
Doherty, Rory
Boyd, Mathew
Allen, Christopher C R
Ibrahim, Aliyu Dabai
Rao, Juluri R
Kulakov, Anna
Dandare, Shamsudeen U
Doherty, Rory
Boyd, Mathew
Allen, Christopher C R
collection PubMed - marine biology
contents Developing a molecular tool for evaluating the status of petrochemical-contaminated soils using functional gene ratio strategy. Ibrahim, Aliyu Dabai Rao, Juluri R Kulakov, Anna Dandare, Shamsudeen U Doherty, Rory Boyd, Mathew Allen, Christopher C R Soil Pollutants Soil Microbiology Environmental Monitoring Polycyclic Aromatic Hydrocarbons Dioxygenases Soil Gas Chromatography-Mass Spectrometry Petroleum Pollution Biodegradation, Environmental Petroleum Bacteria Metagenomics Petrochemical spills present a global environmental challenge, necessitating effective monitoring and remediation. This study was designed to develop a molecular tool using binary functional gene ratios to assess contamination levels and timelines in petrochemical-contaminated soils. Soils from petrochemical-contaminated sites were collected and hydrocarbon quantification was performed using gas chromatography-mass spectrometry and two-dimensional gas chromatography with flame ionization detection, against specific standards. Metagenomic DNA was extracted, and functional genes associated with hydrocarbon degradation [PAH Ring-hydroxylating dioxygenase (PAH-RHDα) and 6-oxocyclohex-1-ene-1-carbonyl-CoA hydrolase (bamA)] were analysed using quantitative PCR (qPCR). A diagnostic ratio of PAH degradation genes was applied to characterize pollution. In-silico gene mining was used to verify the functional gene ratios. MS revealed distinct contamination profiles correlating with pollution duration and pollutant levels. One set of samples had kerosene concentrations between 154 and 478.64 µg/g of soil, while the other contained
format Artículo científico
id pubmed_40674090
institution PubMed
language en
publishDate 2025
publisher Letters in applied microbiology
record_format pubmed
spellingShingle Developing a molecular tool for evaluating the status of petrochemical-contaminated soils using functional gene ratio strategy.
Ibrahim, Aliyu Dabai
Rao, Juluri R
Kulakov, Anna
Dandare, Shamsudeen U
Doherty, Rory
Boyd, Mathew
Allen, Christopher C R
Soil Pollutants
Soil Microbiology
Environmental Monitoring
Polycyclic Aromatic Hydrocarbons
Dioxygenases
Soil
Gas Chromatography-Mass Spectrometry
Petroleum Pollution
Biodegradation, Environmental
Petroleum
Bacteria
Metagenomics
Developing a molecular tool for evaluating the status of petrochemical-contaminated soils using functional gene ratio strategy. Ibrahim, Aliyu Dabai Rao, Juluri R Kulakov, Anna Dandare, Shamsudeen U Doherty, Rory Boyd, Mathew Allen, Christopher C R Soil Pollutants Soil Microbiology Environmental Monitoring Polycyclic Aromatic Hydrocarbons Dioxygenases Soil Gas Chromatography-Mass Spectrometry Petroleum Pollution Biodegradation, Environmental Petroleum Bacteria Metagenomics Petrochemical spills present a global environmental challenge, necessitating effective monitoring and remediation. This study was designed to develop a molecular tool using binary functional gene ratios to assess contamination levels and timelines in petrochemical-contaminated soils. Soils from petrochemical-contaminated sites were collected and hydrocarbon quantification was performed using gas chromatography-mass spectrometry and two-dimensional gas chromatography with flame ionization detection, against specific standards. Metagenomic DNA was extracted, and functional genes associated with hydrocarbon degradation [PAH Ring-hydroxylating dioxygenase (PAH-RHDα) and 6-oxocyclohex-1-ene-1-carbonyl-CoA hydrolase (bamA)] were analysed using quantitative PCR (qPCR). A diagnostic ratio of PAH degradation genes was applied to characterize pollution. In-silico gene mining was used to verify the functional gene ratios. MS revealed distinct contamination profiles correlating with pollution duration and pollutant levels. One set of samples had kerosene concentrations between 154 and 478.64 µg/g of soil, while the other contained
title Developing a molecular tool for evaluating the status of petrochemical-contaminated soils using functional gene ratio strategy.
topic Soil Pollutants
Soil Microbiology
Environmental Monitoring
Polycyclic Aromatic Hydrocarbons
Dioxygenases
Soil
Gas Chromatography-Mass Spectrometry
Petroleum Pollution
Biodegradation, Environmental
Petroleum
Bacteria
Metagenomics
url https://pubmed.ncbi.nlm.nih.gov/40674090/