Rhizoremdiation of Petroleum Hydrocarbon-contaminated Soils and Greenhouse Gas Emission Characteristics: A Review

Seo, Yoonjoo; Cho, Kyung-Suk

doi:10.4014/mbl.1911.11014

Cited by 7 publications

(2 citation statements)

References 93 publications

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“…Rhizoremediation is a plant-assisted bioremediation using rhizobacteria, and has been applied in various ways to remediate soil or water contamination [ 34 ]. Rhizobacteria are influenced not only by physicochemical factors such as water content, pH, temperature, oxygen concentration, and nutrients, but also by root exudates secreted from plants [ 35 ]. Root exudates contain various organics and inorganics, and can act as a carbon source or growth factor for rhizosphere bacteria [ 36 - 38 ].…”

Section: Resultsmentioning

confidence: 99%

Inoculation Effect of Methanotrophs on Rhizoremediation Performance and Methane Emission in Diesel-Contaminated Soil

Lee

Yang

Cho

2023

J. Microbiol. Biotechnol.

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During the rhizoremediation of diesel-contaminated soil, methane (CH 4 ), a representative greenhouse gas, is emitted as a result of anaerobic metabolism of diesel. The application of methantrophs is one of solutions for the mitigation CH 4 emissions during the rhizoremediation of diesel-contaminated soil. In this study, CH 4 -oxidizing rhizobacteria, Methylocystis sp. JHTF4 and Methyloversatilis sp. JHM8, were isolated from rhizosphere soils of tall fescue and maize, respectively. The maximum CH 4 oxidation rates for the strains JHTF4 and JHM8 were 65.8 and 33.8 mmol·g-DCW -1 ·h -1 , respectively. The isolates JHTF4 and JHM8 couldn't degrade diesel. The inoculation of the isolate JHTF4 or JHM8 significantly enhanced diesel removal during rhizoremediation of diesel-contaminated soil planted with maize for 63 days. Diesel removal in the tall fescue-planting soil was enhanced by inoculating the isolates until 50 days, while there was no significant difference in removal efficiency regardless of inoculation at day 63. In both the maize and tall fescue planting soils, the CH 4 oxidation potentials of the inoculated soils were significantly higher than the potentials of the non-inoculated soils. In addition, the gene copy numbers of pmoA , responsible for CH 4 oxidation, in the inoculated soils were significantly higher than those in the non-inoculated soils. The gene copy numbers ratio of pmoA to 16S rDNA (the ratio of methanotrophs to total bacteria) in soil increased during rhizoremediation. These results indicate that the inoculation of Methylocystis sp. JHTF4 and Methyloversatilis sp. JHM8, is a promising strategy to minimize CH 4 emissions during the rhizoremediation of diesel-contaminated soil using maize or tall fescue.

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Section: Resultsmentioning

confidence: 99%

Inoculation Effect of Methanotrophs on Rhizoremediation Performance and Methane Emission in Diesel-Contaminated Soil

Lee

Yang

Cho

2023

J. Microbiol. Biotechnol.

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“…Certain strains of PGPR can reduce the emission of nitrous oxide, a potent greenhouse gas, from the soil. This not only helps in mitigating climate change but also improves the efficiency of nitrogen use by the plants, which is often reduced under drought conditions [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Approaches for Forecasting the Best Microbial Strains to Alleviate Drought Impact in Agriculture

Miller,

Mikiciuk,

Kisiel

et al. 2023

Agriculture

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Drought conditions pose significant challenges to sustainable agriculture and food security. Identifying microbial strains that can mitigate drought effects is crucial to enhance crop resilience and productivity. This study presents a comprehensive comparison of several machine learning models, including Random Forest, Decision Tree, XGBoost, Support Vector Machine (SVM), and Artificial Neural Network (ANN), to predict optimal microbial strains for this purpose. Models were assessed on multiple metrics, such as accuracy, standard deviation of results, gains, total computation time, and training time per 1000 rows of data. Notably, the Gradient Boosted Trees model outperformed others in accuracy but required extensive computational resources. This underscores the balance between accuracy and computational efficiency in machine learning applications. Leveraging machine learning for selecting microbial strains signifies a leap beyond traditional methods, offering improved efficiency and efficacy. These insights hold profound implications for agriculture, especially concerning drought mitigation, thus furthering the cause of sustainable agriculture and ensuring food security.

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Effect of Novosphingobium sp. CuT1 inoculation on the rhizoremediation of heavy metal- and diesel-contaminated soil planted with tall fescue

Lee

Cho

2022

Environ Sci Pollut Res

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Rhizoremediation is a promising method based on the synergism between plant and rhizobacteria, which constitutes a promising means to remediate soil co-contaminated with heavy metals and total petroleum hydrocarbons (TPHs). A plant growth-promoting (PGP) rhizobacterium with diesel-degrading capacity and heavy metals tolerance was isolated from the rhizosphere of tall fescue (Festuca arundinacea L.), after which the effects of its inoculation on rhizoremediation performance were evaluated in heavy metal and diesel-contaminated soil planted with tall fescue.The bacterial isolate (Novosphingobium sp. CuT1) was characterized by its production of indole-3-acetic acid (IAA), 1-aminocyclopropane-1carboxylic acid (ACC) deaminase activity, and siderophore productivity as PGP traits. CuT1 was able to grow on 1/10 LB-agar plates containing 5 mM of Cu or 5 mM of Pb. Compared to the rhizoremediation performance of the co-contaminated soil (Cu + Pb + diesel) without inoculation, the bioavailable Cu concentrations in soil and the biomass of tall fescue were signi cantly increased CuT1 inoculation. Additionally, the root growth of tall fescue was also promoted CuT1 inoculation. Correlation analysis showed that Cu bioavailability and bioconcentration factor were positively correlated with CuT1 inoculation. The diesel removal e ciency showed a positive correlation with CuT1 inoculation although diesel removal was below 30%. CuT1 inoculation was positively correlated with IAA and dehydrogenase activity in soil. Moreover, the dry biomass of the tall fescue's roots was highly associated with CuT1 inoculation. Collectively, our ndings suggest that Novosphingobium sp. CuT1 can be utilized as an applicable bioresource to enhance rhizoremediation performance in heavy metal-and TPH-contaminated soils.

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Rhizoremdiation of Petroleum Hydrocarbon-contaminated Soils and Greenhouse Gas Emission Characteristics: A Review

Cited by 7 publications

References 93 publications

Inoculation Effect of Methanotrophs on Rhizoremediation Performance and Methane Emission in Diesel-Contaminated Soil

Inoculation Effect of Methanotrophs on Rhizoremediation Performance and Methane Emission in Diesel-Contaminated Soil

Machine Learning Approaches for Forecasting the Best Microbial Strains to Alleviate Drought Impact in Agriculture

Effect of Novosphingobium sp. CuT1 inoculation on the rhizoremediation of heavy metal- and diesel-contaminated soil planted with tall fescue

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