Microbial plankton form the productive base of both marine and freshwater ecosystems and are key drivers of global biogeochemical cycles of carbon and nutrients. Plankton diversity is immense with representations from all major phyla within the three domains of life. So far, plankton monitoring has mainly been based on microscopic identification, which has limited sensitivity and reproducibility, not least because of the numerical majority of plankton being unidentifiable under the light microscope. High-throughput sequencing of taxonomic marker genes offers a means to identify taxa inaccessible by traditional methods; thus, recent studies have unveiled an extensive previously unknown diversity of plankton. Here, we conducted ultra-deep Illumina sequencing (average 10(5) sequences/sample) of rRNA gene amplicons of surface water eukaryotic and bacterial plankton communities sampled in summer along a 2000 km transect following the salinity gradient of the Baltic Sea. Community composition was strongly correlated with salinity for both bacterial and eukaryotic plankton assemblages, highlighting the importance of salinity for structuring the biodiversity within this ecosystem. In contrast, no clear trends in alpha-diversity for bacterial or eukaryotic communities could be detected along the transect. The distribution of major planktonic taxa followed expected patterns as observed in monitoring programs, but groups novel to the Baltic Sea were also identified, such as relatives to the coccolithophore Emiliana huxleyi detected in the northern Baltic Sea. This study provides the first ultra-deep sequencing-based survey on eukaryotic and bacterial plankton biogeography in the Baltic Sea.
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http://dx.doi.org/10.3389/fmicb.2016.00679 | DOI Listing |
Mar Pollut Bull
December 2024
Department of Mechanics and Maritime Sciences, Chalmers University of Technology, SE 412 96 Gothenburg, Sweden.
Determining optimal maintenance strategies in unique maritime environments like the Baltic Sea is challenging, as it should consider various aspects, including ship characteristics and environmental conditions. This study employs the decision support tool HullMASTER (Hull MAintenance STrategies for Emission Reduction) to assess the life cycle costs of different hull maintenance scenarios for RoPax vessels in the Baltic Sea. Findings indicate that optimal hull management can save operators up to €9.
View Article and Find Full Text PDFMar Pollut Bull
December 2024
Finnish Meteorological Institute, Atmospheric Composition Research, P.O. Box 503, Helsinki FI-00101, Finland.
The ChemicalDrift model is applied to predict concentrations of metals and polycyclic aromatic hydrocarbons emitted from shipping in European seas in 2050, compared to 2018. Sources include antifouling paints (AFPs), discharge water from scrubbers and atmospheric deposition. The fate of pollutants in the marine environment is presented, highlighting the effect of degradation and volatilization, with seasonal and regional differences.
View Article and Find Full Text PDFEnviron Pollut
December 2024
Catalan Institute for Water Research (ICRA), C. Emili Grahit 101, 17003, Girona, Spain; Universitat de Girona (UdG), Girona, Spain. Electronic address:
The increase in maritime traffic has led to substantial greywater discharges into the marine environment. Greywater, originating from sinks, showers, kitchen, and laundry facilities, contains a wide array of chemical contaminants influenced by on-board activities, ship size, and management practices. The lack of comprehensive regulations for greywater management, along with limited research on its chemical composition, highlights the need to characterize these waste streams.
View Article and Find Full Text PDFMicrobiol Resour Announc
December 2024
Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg, Denmark.
We report the genomic characteristics of the human pathogen isolated from seawater and green algae in the Baltic Sea. Initially misidentified as through culture and MALDI-TOF, whole-genome sequencing (WGS) confirmed them as , highlighting the importance of WGS analysis in accurate classification of emerging pathogens.
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