Literature DB >> 35020455

Metagenomic and Metatranscriptomic Responses of Chemical Dispersant Application during a Marine Dilbit Spill.

Yiqi Cao1, Baiyu Zhang1, Charles W Greer2, Kenneth Lee3, Qinhong Cai2, Xing Song1, Julien Tremblay2, Zhiwen Zhu1, Guihua Dong1, Bing Chen1.   

Abstract

The global increase in marine transportation of dilbit (diluted bitumen) can increase the risk of spills, and the application of chemical dispersants remains a common response practice in spill events. To reliably evaluate dispersant effects on dilbit biodegradation over time, we set large-scale (1,500 mL) microcosms without nutrient addition using a low dilbit concentration (30 ppm). Shotgun metagenomics and metatranscriptomics were deployed to investigate microbial community responses to naturally and chemically dispersed dilbit. We found that the large-scale microcosms could produce more reproducible community trajectories than small-scale (250 mL) ones based on the 16S rRNA gene amplicon sequencing. In the early-stage large-scale microcosms, multiple genera were involved in the biodegradation of dilbit, while dispersant addition enriched primarily Alteromonas and competed for the utilization of dilbit, causing depressed degradation of aromatics. The metatranscriptomic-based metagenome-assembled genomes (MAG) further elucidated early-stage microbial antioxidation mechanism, which showed that dispersant addition triggered the increased expression of the antioxidation process genes of Alteromonas species. Differently, in the late stage, the microbial communities showed high diversity and richness and similar compositions and metabolic functions regardless of dispersant addition, indicating that the biotransformation of remaining compounds can occur within the post-oil communities. These findings can guide future microcosm studies and the application of chemical dispersants for responding to a marine dilbit spill. IMPORTANCE In this study, we employed microcosms to study the effects of marine dilbit spill and dispersant application on microbial community dynamics over time. We evaluated the impacts of microcosm scale and found that increasing the scale is beneficial for reducing community stochasticity, especially in the late stage of biodegradation. We observed that dispersant application suppressed aromatics biodegradation in the early stage (6 days), whereas exerting insignificant effects in the late stage (50 days), from both substance removal and metagenomic/metatranscriptomic perspectives. We further found that Alteromonas species are vital for the early-stage chemically dispersed oil biodegradation and clarified their degradation and antioxidation mechanisms. These findings help us to better understand microcosm studies and microbial roles for biodegrading dilbit and chemically dispersed dilbit and suggest that dispersant evaluation in large-scale systems and even through field trails would be more realistic after marine oil spill response.

Entities:  

Keywords:  Corexit 9500A; hydrocarbon degradation; metagenomics; metatranscriptomics; microbial communities; microcosm; oil spill

Mesh:

Substances:

Year:  2022        PMID: 35020455      PMCID: PMC8904047          DOI: 10.1128/aem.02151-21

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   5.005


  58 in total

1.  Metagenomic analysis exhibited the co-metabolism of polycyclic aromatic hydrocarbons by bacterial community from estuarine sediment.

Authors:  Shuangfei Zhang; Zhong Hu; Hui Wang
Journal:  Environ Int       Date:  2019-05-28       Impact factor: 9.621

Review 2.  Stochastic Community Assembly: Does It Matter in Microbial Ecology?

Authors:  Jizhong Zhou; Daliang Ning
Journal:  Microbiol Mol Biol Rev       Date:  2017-10-11       Impact factor: 11.056

3.  Integrating Dispersants in Oil Spill Response in Arctic and Other Icy Environments.

Authors:  Alun Lewis; Roger C Prince
Journal:  Environ Sci Technol       Date:  2018-05-08       Impact factor: 9.028

4.  Microbial eco-physiological strategies for salinity-mediated crude oil biodegradation.

Authors:  Yiqi Cao; Baiyu Zhang; Zhiwen Zhu; Xing Song; Qinhong Cai; Bing Chen; Guihua Dong; Xudong Ye
Journal:  Sci Total Environ       Date:  2020-04-15       Impact factor: 7.963

5.  Corexit 9500 Enhances Oil Biodegradation and Changes Active Bacterial Community Structure of Oil-Enriched Microcosms.

Authors:  Stephen M Techtmann; Mobing Zhuang; Pablo Campo; Edith Holder; Michael Elk; Terry C Hazen; Robyn Conmy; Jorge W Santo Domingo
Journal:  Appl Environ Microbiol       Date:  2017-05-01       Impact factor: 4.792

6.  Reconstructing metabolic pathways of hydrocarbon-degrading bacteria from the Deepwater Horizon oil spill.

Authors:  Nina Dombrowski; John A Donaho; Tony Gutierrez; Kiley W Seitz; Andreas P Teske; Brett J Baker
Journal:  Nat Microbiol       Date:  2016-05-09       Impact factor: 17.745

7.  Pyrosequencing analysis of bacterial diversity in soils contaminated long-term with PAHs and heavy metals: Implications to bioremediation.

Authors:  Saranya Kuppusamy; Palanisami Thavamani; Mallavarapu Megharaj; Kadiyala Venkateswarlu; Yong Bok Lee; Ravi Naidu
Journal:  J Hazard Mater       Date:  2016-05-24       Impact factor: 10.588

8.  Inorganic nutrients have a significant, but minimal, impact on a coastal microbial community's response to fresh diluted bitumen.

Authors:  Alice C Ortmann; Susan E Cobanli; Gary Wohlgeschaffen; Peter Thamer; Claire McIntyre; Jennifer Mason; Thomas L King
Journal:  Mar Pollut Bull       Date:  2019-01-12       Impact factor: 5.553

Review 9.  Current State of Knowledge in Microbial Degradation of Polycyclic Aromatic Hydrocarbons (PAHs): A Review.

Authors:  Debajyoti Ghosal; Shreya Ghosh; Tapan K Dutta; Youngho Ahn
Journal:  Front Microbiol       Date:  2016-08-31       Impact factor: 5.640

Review 10.  Survival and Energy Producing Strategies of Alkane Degraders Under Extreme Conditions and Their Biotechnological Potential.

Authors:  Chulwoo Park; Woojun Park
Journal:  Front Microbiol       Date:  2018-05-25       Impact factor: 5.640

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