Succession pattern and phylotype analysis of microphytobenthic communities in a simulated oil spill seagrass mesocosm experiment

Hancock, Taylor L.; Blonder, Samantha L.; Bury, Alison A.; Smolinski, Rachel A.; Parsons, M. L.; Robertson, Alison; Urakawa, Hidetoshi

doi:10.1016/j.scitotenv.2021.147053

Cited by 9 publications

(9 citation statements)

References 41 publications

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“…Microbial community analysis revealed an overall decrease in prokaryotic diversity in oil treatments compared with controls as observed in several mesocosm studies (Kleindienst et al, 2015;Doyle et al, 2018). Furthermore, a higher relative abundance of eukaryotes such as Dinophyceae, Mediophyceae, and Diatomea members and prokaryotes such as oildegrading Gammaproteobacteria members (Oceanospirillales, Cellvibrionales, and Alteromonadales) in the oil treatment are in line with the observations made in the field following the Deepwater Horizon oil spill (Karthikeyan et al, 2019;Hancock et al, 2021;Quigg et al, 2021) and also by several other mesocosm studies (Kimes et al, 2013;Kleindienst et al, 2015;Parsons et al, 2015;Almeda et al, 2018;Doyle et al, 2018;Kamalanathan et al, 2018;Bretherton et al, 2019;Gutierrez, 2019;Barbato and Scoma, 2020;Finkel et al, 2020). Assessment of co-occurrence of microbes to get insights of possible microbial interactions indicated severe effects of oil with ∼43% lower co-occurrences, which can be attributed to the observed slight decrease in microbial diversity.…”

Section: Discussionsupporting

confidence: 81%

The Interplay of Phototrophic and Heterotrophic Microbes Under Oil Exposure: A Microcosm Study

et al. 2021

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Microbial interactions influence nearly one-half of the global biogeochemical flux of major elements of the marine ecosystem. Despite their ecological importance, microbial interactions remain poorly understood and even less is known regarding the effects of anthropogenic perturbations on these microbial interactions. The Deepwater Horizon oil spill exposed the Gulf of Mexico to ∼4.9 million barrels of crude oil over 87 days. We determined the effects of oil exposure on microbial interactions using short- and long-term microcosm experiments with and without Macondo surrogate oil. Microbial activity determined using radiotracers revealed that oil exposure negatively affected substrate uptake by prokaryotes within 8 h and by eukaryotes over 72 h. Eukaryotic uptake of heterotrophic exopolymeric substances (EPS) was more severely affected than prokaryotic uptake of phototrophic EPS. In addition, our long-term exposure study showed severe effects on photosynthetic activity. Lastly, changes in microbial relative abundances and fewer co-occurrences among microbial species were mostly driven by photosynthetic activity, treatment (control vs. oil), and prokaryotic heterotrophic metabolism. Overall, oil exposure affected microbial co-occurrence and/or interactions possibly by direct reduction in abundance of one of the interacting community members and/or indirect by reduction in metabolism (substrate uptake or photosynthesis) of interacting members.

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Section: Discussionsupporting

confidence: 81%

The Interplay of Phototrophic and Heterotrophic Microbes Under Oil Exposure: A Microcosm Study

et al. 2021

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“…3 ). The efficiency of resource utilization by the community is consistent with the removal efficiency of nitrogen and phosphorus in wastewater 40 . In other words, the climax community was the destination of the algal–bacterial consortium whose nitrogen and phosphorus removal were fastest and highest with all consortia.…”

Section: Discussionsupporting

confidence: 67%

“…Nutrients (resource) drive the direction of succession of communities 39 , 40 . The level of nutrients determines the end point of the development of the ecological community 19 .…”

Section: Discussionmentioning

confidence: 99%

Convergent community structure of algal–bacterial consortia and its effects on advanced wastewater treatment and biomass production

Jia

et al. 2021

Sci Rep

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Microalgal-bacterial consortium is an effective way to meet increasingly stringent standards in wastewater treatment. However, the mechanism of wastewater removal effect has not been properly explained in community structure by phycosphere. And little is known about that the concept of macroecology was introduced into phycosphere to explain the phenomenon. In the study, the algal–bacterial consortia with different ratios of algae and sludge were cultured in same aerobic wastewater within 48 h in photobioreactors (PSBRs). Community structure at start and end was texted by metagenomic analysis. Bray–Curtis similarities analysis based on microbial community showed that there was obvious convergent succession in all consortia, which is well known as “convergence” in macroecology. The result showed that Bray–Curtis similarities at End (overall above 0.88) were higher than these at Start (almost less than 0.66). In terms of community structure, the consortium with 5:1 ratio at Start are the more similar with the consortia at End by which the maximum removal of total dissolved nitrogen (TDN, 73.69%), total dissolved phosphorus (TDP, 94.40%) and NH3-N (93.26%) in wastewater treatment process and biomass production (98.2%) higher than other consortia, according with climax community in macroecology with the highest resource utilization than other communities. Therefore, the macroecology can be introduced into phycosphere to explain the consortium for advanced wastewater treatment and optimization community structure. And the study revealed a novel insight into treatment effect and community structure of algal–bacterial consortia for advanced wastewater treatment, a new idea for to shortening the culture time of consortium and optimize predicting their ecological community structure and predicting ecological community.

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“…DNA was extracted using a King Fisher system, and amplicon sequences were determined by using Illumina MiSeq (Illumina) as described previously. 14 Further data analysis and phylogenetic analysis were performed as previously described. 14 High-throughput amplicon sequence data sets were deposited in GenBank under BioProject PRJNA497120.…”

Section: ■ Materials and Methodsmentioning

confidence: 99%

“…14 Further data analysis and phylogenetic analysis were performed as previously described. 14 High-throughput amplicon sequence data sets were deposited in GenBank under BioProject PRJNA497120.…”

Section: ■ Materials and Methodsmentioning

confidence: 99%

Subtropical Freshwater Cyanobacterial Blooms as Hydrogen Peroxide Hot Spots

Urakawa

Ndungu

Hancock

et al. 2021

Environ. Sci. Technol. Lett.

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In aquatic environments, chemical and biological processes represent major sources of reactive oxygen species (ROS) such as hydrogen peroxide. Diurnal patterns of hydrogen peroxide in surface water may suggest photochemical processes affect ROS dynamics. We hypothesized that thin surface hydrogen peroxide maxima could be detected through millimeter-scale depth profiling. These maxima were previously overlooked because they cannot be detected using standard surface water sampling techniques. Combined field and laboratory experiments demonstrated that cyanobacterial blooms could create extremely high concentrations of hydrogen peroxide in a thin layer of surface water (5–60 mm). Hydrogen peroxide concentrations were higher within surface scums of Microcystis aeruginosa than in areas without scum. The cyanobacterial scum increased the temperature of the ambient water, and hydrogen peroxide concentrations were higher at locations exposed to sunlight that at locations in the shade. We found that scum samples directly collected from the field could release hydrogen peroxide to the surrounding water when the biomass was exposed by the light, while 20 laboratory cultures tested did not. The production of hydrogen peroxide from cyanobacteria may depend on the physiological condition of cells. Overall, we identified thin surface water layers during subtropical freshwater cyanobacterial blooms as hydrogen peroxide hot spots.

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Succession pattern and phylotype analysis of microphytobenthic communities in a simulated oil spill seagrass mesocosm experiment

Cited by 9 publications

References 41 publications

The Interplay of Phototrophic and Heterotrophic Microbes Under Oil Exposure: A Microcosm Study

The Interplay of Phototrophic and Heterotrophic Microbes Under Oil Exposure: A Microcosm Study

Convergent community structure of algal–bacterial consortia and its effects on advanced wastewater treatment and biomass production

Subtropical Freshwater Cyanobacterial Blooms as Hydrogen Peroxide Hot Spots

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