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  • 1
    Publication Date: 2022-05-25
    Description: Author Posting. © The Author(s), 2011. This is the author's version of the work. It is posted here by permission of National Academy of Sciences for personal use, not for redistribution. The definitive version was published in Proceedings of the National Academy of Sciences 108 (2011): 4352-4357, doi:10.1073/pnas.1016106108.
    Description: Harmful algal blooms (HABs) cause significant economic and ecological damage worldwide. Despite considerable efforts, a comprehensive understanding of the factors that promote these blooms has been lacking because the biochemical pathways that facilitate their dominance relative to other phytoplankton within specific environments have not been identified. Here, biogeochemical measurements demonstrated that the harmful 43 Aureococcus anophagefferens outcompeted co-occurring phytoplankton in estuaries with elevated levels of dissolved organic matter and turbidity and low levels of dissolved inorganic nitrogen. We subsequently sequenced the first HAB genome (A. anophagefferens) and compared its gene complement to those of six competing phytoplankton species identified via metaproteomics. Using an ecogenomic approach, we specifically focused on the gene sets that may facilitate dominance within the environmental conditions present during blooms. A. anophagefferens possesses a larger genome (56 mbp) and more genes involved in light harvesting, organic carbon and nitrogen utilization, and encoding selenium- and metal-requiring enzymes than competing phytoplankton. Genes for the synthesis of microbial deterrents likely permit the proliferation of this species with reduced mortality losses during blooms. Collectively, these findings suggest that anthropogenic activities resulting in elevated levels of turbidity, organic matter, and metals have opened a niche within coastal ecosystems that ideally suits the unique genetic capacity of A. anophagefferens and thus has facilitated the proliferation of this and potentially other HABs.
    Description: Joint Genome Institute is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. Efforts were also supported by awards from New York Sea Grant to Stony Brook University, National Oceanic and Atmospheric Administration Center for Sponsored Coastal Ocean Research award #NA09NOS4780206 to Woods Hole Oceanographic Institution, NIH grant GM061603 to Harvard University, and NSF award IOS-0841918 to The University of Tennessee.
    Keywords: Harmful algal blooms ; HABs ; Genome sequence ; Ecogenomics ; Metaproteomics ; Eutrophication ; Aureococcus anophagefferens
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
    Format: application/pdf
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  • 2
    Publication Date: 2022-05-25
    Description: The work is made available under the Creative Commons CCO public domain dedication.. The definitive version was published in PLoS Biology 16 (2018): e2006333, doi:10.1371/journal.pbio.2006333.
    Description: Our current understanding of biology is heavily based on a small number of genetically tractable model organisms. Most eukaryotic phyla lack such experimental models, and this limits our ability to explore the molecular mechanisms that ultimately define their biology, ecology, and diversity. In particular, marine protists suffer from a paucity of model organisms despite playing critical roles in global nutrient cycles, food webs, and climate. To address this deficit, an initiative was launched in 2015 to foster the development of ecologically and taxonomically diverse marine protist genetic models. The development of new models faces many barriers, some technical and others institutional, and this often discourages the risky, long-term effort that may be required. To lower these barriers and tackle the complexity of this effort, a highly collaborative community-based approach was taken. Herein, we describe this approach, the advances achieved, and the lessons learned by participants in this novel community-based model for research.
    Description: The research efforts, connections, and collaborations described in this paper and protocols.io (https://www.protocols.io/) were supported by the Gordon and Betty Moore Foundation’s Marine Microbiology Initiative.
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 3
    Publication Date: 2022-10-31
    Description: Dataset: CTD Profile Casts
    Description: CTD Depth Profile Cast Data for the InVirT-2019-BATS (Bermuda Atlantic Time Series) project taken in the on board of the R/V Atlantic Explorer AE1926 in 2019. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/835593
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829636
    Keywords: Bermuda Atlantic Time Series ; BATS ; Virus ; Phage ; Metatranscriptomics ; Bacteria ; Diel ; Sargasso Sea
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 4
    Publication Date: 2022-07-21
    Description: Dataset: AE2207 ADCP Surface Currents
    Description: This dataset was gathered from ADCP for surface current velocities and directions with ship position, time, and surface temperature along with some derived variables useful for plotting. Data are from R/V Atlantic Explorer cruise AE2207 to the Bermuda Atlantic Time Series (BATS) station in April 2022. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/877170
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829636, NSF Division of Ocean Sciences (NSF OCE) OCE-1829640, NSF Division of Ocean Sciences (NSF OCE) OCE-1829641
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 5
    Publication Date: 2022-07-21
    Description: Dataset: AE2207 Processed CTD with Thermodynamic Calculations
    Description: This dataset includes CTD data from R/V Atlantic Explorer cruise AE2207 to the Bermuda Atlantic Time Series (BATS) station in April 2022. The CTD data were processed, binned, and smoothed, and derived variables from thermodynamic calculations were generated. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/877100
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829636, NSF Division of Ocean Sciences (NSF OCE) OCE-1829640, NSF Division of Ocean Sciences (NSF OCE) OCE-1829641
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 6
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-07-21
    Description: Dataset: AE2207 Unprocessed CTD
    Description: This dataset includes CTD data from R/V Atlantic Explorer cruise AE2207 to the Bermuda Atlantic Time Series (BATS) station in April 2022. The CTD data was processed into .cnv files from cast hex files. Then, the data from the .cnv files were converted and saved as .csv files, with each file containing all scans for all variables contained in the .cnv files. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/877011
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829636, NSF Division of Ocean Sciences (NSF OCE) OCE-1829640, NSF Division of Ocean Sciences (NSF OCE) OCE-1829641
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 7
    Publication Date: 2022-07-21
    Description: Dataset: AE2207 ADCP Current Depth Profiles
    Description: This dataset was gathered from ADCP for depth profiles of current velocities with ship position, time, and includes some derived variables useful for plotting. Data are from R/V Atlantic Explorer cruise AE2207 to the Bermuda Atlantic Time Series (BATS) station in April 2022. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/877146
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829636, NSF Division of Ocean Sciences (NSF OCE) OCE-1829640, NSF Division of Ocean Sciences (NSF OCE) OCE-1829641
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 8
    Publication Date: 2020-02-06
    Description: Cyanobacterial harmful algal blooms (CyanoHABs) are enhanced by anthropogenic pressures, including excessive nutrient (nitrogen, N, and phosphorus, P) inputs and a warming climate. Severe eutrophication in aquatic systems is often manifested as non-N2-fixing CyanoHABs (e.g., Microcystis spp.), but the biogeochemical relationship between N inputs/dynamics and CyanoHABs needs definition. Community biological ammonium (NH4+) demand (CBAD) relates N dynamics to total microbial productivity and NH4+ deprivation in aquatic systems. A mechanistic conceptual model was constructed by combining nutrient cycling and CBAD observations from a spectrum of lakes to assess N cycling interactions with CyanoHABs. Model predictions were supported with CBAD data from a Microcystis bloom in Maumee Bay, Lake Erie, during summer 2015. Nitrogen compounds are transformed to reduced, more bioavailable forms (e.g., NH4+ and urea) favored by CyanoHABs. During blooms, algal biomass increases faster than internal NH4+ regeneration rates, causing high CBAD values. High turnover rates from cell death and remineralization of labile organic matter consume oxygen and enhance denitrification. These processes drive eutrophic systems to NH4+ limitation or colimitation under warm, shallow conditions and support the need for dual nutrient (N and P) control.
    Type: Article , PeerReviewed
    Format: text
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  • 9
    Publication Date: 2020-07-22
    Description: We measured the presence, viability and potential toxicity of cyanobacteria in ships’ ballast tanks during three domestic voyages through the North American Great Lakes. Using molecular methods, the toxin-producing forms of Microcystis and Anabaena were monitored in ballast water after ships’ ballast tanks were filled at their first port of call, and at subsequent ports as ships transited the Great Lakes. Microcystis was detected in ballast water at intermediate and final ports of call in all three experiments, but the presence of Anabaena was more variable, suggesting low abundance or patchy distribution in ballast tanks. Both species were detected in ballast water up to 11 days old. Detection of the microcystin synthetase gene, mcyE, in ballast tanks indicated entrained cells were capable of producing microcystin, and further analyses of RNA indicated the toxin was being expressed by Microcystis, even after 11 days in dark transit. These data demonstrate within-basin transport and delivery of planktonic harmful algal bloom (HAB) species to distant ports in the world's largest freshwater reservoir, with potential implications for drinking water quality. These implications are discussed with respect to management of microbial invasions and the fate of introduced phytoplankton in their receiving environment.
    Type: Article , PeerReviewed
    Format: text
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