Integrated Omics Elucidate the Mechanisms Driving the Rapid Biodegradation of Deepwater Horizon Oil in Intertidal Sediments Undergoing Oxic–Anoxic Cycles
Abstract:Crude oil buried in intertidal sands
may be exposed to alternating
oxic and anoxic conditions but the effect of this tidally induced
biogeochemical oscillation remains poorly understood, limiting the
effectiveness of remediation and managing efforts after oil spills.
Here, we used a combination of metatranscriptomics and genome-resolved
metagenomics to study microbial activities in oil-contaminated sediments
during oxic–anoxic cycles in laboratory chambers that closely
emulated in situ conditions. Approximatel… Show more
“…S2). Consistent with these expectations, we observed a high degree of similarity between the microbial communities in the chambers when inoculated with DWH oil and the previous field samples [12], further validating our mesocosm as tools to reliably study in situ microbial processes. For the present study, generalist taxa were defined as operational taxonomic units (OTU) having broad niche breadth reflected by increased number of non-redundant protein functions (measured as the number of molecular function gene-ontology -GOterms), whereas specialist taxa were defined as OTUs having a narrow niche breadth characterized by fewer nonredundant protein functions.…”
The specialization-disturbance hypothesis predicts that, in the event of a disturbance, generalists are favored, while specialists are selected against. This hypothesis has not been rigorously tested in microbial systems and it remains unclear to what extent it could explain microbial community succession patterns following perturbations. Previous field observations of Pensacola Beach sands that were impacted by the Deepwater Horizon (DWH) oil spill provided evidence in support of the specialization-disturbance hypothesis. However, ecological drift as well as uncounted environmental fluctuations (e.g., storms) could not be ruled out as confounding factors driving these field results. In this study, the specialization-disturbance hypothesis was tested on beach sands, disturbed by DWH crude oil, ex situ in closed laboratory advective-flow chambers that mimic in situ conditions in saturated beach sediments. The chambers were inoculated with weathered DWH oil and unamended chambers served as controls. The time series of shotgun metagenomic and 16S rRNA gene amplicon sequence data from a two-month long incubation showed that functional diversity significantly increased while taxonomic diversity significantly declined, indicating a decrease in specialist taxa. Thus, results from this laboratory study corroborate field observations, providing verification that the specialization-disturbance hypothesis can explain microbial succession patterns in crude oil impacted beach sands.
“…S2). Consistent with these expectations, we observed a high degree of similarity between the microbial communities in the chambers when inoculated with DWH oil and the previous field samples [12], further validating our mesocosm as tools to reliably study in situ microbial processes. For the present study, generalist taxa were defined as operational taxonomic units (OTU) having broad niche breadth reflected by increased number of non-redundant protein functions (measured as the number of molecular function gene-ontology -GOterms), whereas specialist taxa were defined as OTUs having a narrow niche breadth characterized by fewer nonredundant protein functions.…”
The specialization-disturbance hypothesis predicts that, in the event of a disturbance, generalists are favored, while specialists are selected against. This hypothesis has not been rigorously tested in microbial systems and it remains unclear to what extent it could explain microbial community succession patterns following perturbations. Previous field observations of Pensacola Beach sands that were impacted by the Deepwater Horizon (DWH) oil spill provided evidence in support of the specialization-disturbance hypothesis. However, ecological drift as well as uncounted environmental fluctuations (e.g., storms) could not be ruled out as confounding factors driving these field results. In this study, the specialization-disturbance hypothesis was tested on beach sands, disturbed by DWH crude oil, ex situ in closed laboratory advective-flow chambers that mimic in situ conditions in saturated beach sediments. The chambers were inoculated with weathered DWH oil and unamended chambers served as controls. The time series of shotgun metagenomic and 16S rRNA gene amplicon sequence data from a two-month long incubation showed that functional diversity significantly increased while taxonomic diversity significantly declined, indicating a decrease in specialist taxa. Thus, results from this laboratory study corroborate field observations, providing verification that the specialization-disturbance hypothesis can explain microbial succession patterns in crude oil impacted beach sands.
“…Available metatranscriptomic data from the field (Mason et al ., 2012) or laboratory mesocosm incubation experiments mimicking in situ pressure gradients in beach sands consistently showed that the genes associated with the DWH‐clade alkB operon were expressed significantly higher in oiled vs. clean/control samples (log2fold change 2.728, p‐adj = 0.01). Briefly, the laboratory mesocosm involved advective flow chambers incubated with weathered DWH oil and were followed over time with metagenomic and metatrancriptomics sequencing and were described previously by our team (Karthikeyan et al ., 2020c). Importantly, a comparison to field samples showed that these mesocosm samples represented well the coastal sediments and that most added DWH oil was degraded within a period of 3 months although some aromatic and complex hydrocarbon constituents remained at the end of the incubation (Karthikeyan et al ., 2020c).…”
Section: Resultsmentioning
confidence: 99%
“…Briefly, the laboratory mesocosm involved advective flow chambers incubated with weathered DWH oil and were followed over time with metagenomic and metatrancriptomics sequencing and were described previously by our team (Karthikeyan et al ., 2020c). Importantly, a comparison to field samples showed that these mesocosm samples represented well the coastal sediments and that most added DWH oil was degraded within a period of 3 months although some aromatic and complex hydrocarbon constituents remained at the end of the incubation (Karthikeyan et al ., 2020c). Notably, DWH‐clade genes were present at ~10× and ~8× higher abundances compared with the control (no oil added) and the non DWH‐clade associated genes in the laboratory mesocosms samples, respectively, especially during the later stages of oil degradation when longer aliphatic and aromatic hydrocarbons were enriched (Fig.…”
Alkanes are ubiquitous in marine ecosystems and originate from diverse sources ranging from natural oil seeps to anthropogenic inputs and biogenic production by cyanobacteria. Enzymes that degrade cyanobacterial alkanes (typically C15-C17 compounds) such as the alkane monooxygenase (AlkB) are widespread, but it remains unclear whether or not AlkB variants exist that specialize in degradation of crude oil from natural or accidental spills, a much more complex mixture of long-chain hydrocarbons.In the present study, large-scale analysis of available metagenomic and genomic data from the Gulf of Mexico (GoM) oil spill revealed a novel, divergent AlkB clade recovered from genomes with no cultured representatives that was dramatically increased in abundance in crude-oil impacted ecosystems. In contrast, the AlkB clades associated with biotransformation of cyanobacterial alkanes belonged to 'canonical' or hydrocarbonoclastic clades, and based on metatranscriptomics data and compared to the novel clade, were much more weakly expressed during crude oil biodegradation in laboratory mesocosms. The absence of this divergent AlkB clade in metagenomes of uncontaminated samples from the global ocean survey but not from the GoM as well as its frequent horizontal gene transfer indicated a priming effect of the Gulf for crude oil biodegradation likely driven by natural oil seeps.
“…These hydrocarbon utilizers reproduce rapidly in the presence of oil to dominate the microbial ecosystem in contaminated waters and sediments, creating a microbial bloom (Kostka et al, 2011;Doyle et al, 2018Doyle et al, , 2020Karthikeyan et al, 2019). Many oil-degrading microbes possess multiple pathways for hydrocarbon degradation, and which metabolic pathway is induced may depend on environmental conditions and type of exposure (Karthikeyan et al, 2020a).…”
Section: Oil-degrading Microbial Collaboration and Community Dynamicsmentioning
confidence: 99%
“…In short order, the DWH spill caused major shifts in microbial ecosystem structure and function. Rare biosphere species capable of degrading hydrocarbons rapidly outgrew neighbors, ultimately accounting for up to 90% of the community (Kleindienst et al, 2015a;Karthikeyan et al, 2019Karthikeyan et al, , 2020a. At the same time, microbes that typically dominate healthy environmental systems, such as ammonia oxidizers and other autotrophs and heterotrophs, declined in relative abundance.…”
Section: Oil-degrading Microbial Collaboration and Community Dynamicsmentioning
The Deepwater Horizon oil spill represents one of the most damaging environmental catastrophes of our generation. It contaminated vast areas of the open ocean, the deep sea, and the shoreline of the Gulf region and disrupted its ecosystems, with both residual and long-term impacts. At the core of all of these ecosystems are microbial communities that perform essential biogeochemical processes and ecosystem services such as carbon and nutrient cycling. Despite their importance, relatively little was known about marine microbes that degrade hydrocarbons in the Gulf of Mexico prior to the Deepwater Horizon spill, nor the effect of hydrocarbons on the microbiology of the Gulf region. Research carried out through the Gulf of Mexico Research Initiative (GoMRI) revealed cooperative microbial communities operating at the heart of bioremediation services with highly adaptive and complex dynamics. In addition, these efforts established new methods for assessing and monitoring ecosystem health, whereby microbial population genetics can serve as indicators of biogeochemical disruptions and/or restoration status in marine and coastal environments. Although much research is still needed to fully understand and engage microbially mediated bioremediation services, GoMRI constructed a strong foundation of methods, discoveries, and overarching principles to build upon. These insights and tools will help scientists better prepare for, and respond to, future environmental catastrophes, from oil tanker spills to long-term disruptions of climate change.
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