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  • 1
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    Springer Science and Business Media LLC
    In:  EPIC3Journal of Oceanology and Limnology, Springer Science and Business Media LLC, 37(4), pp. 1229-1244, ISSN: 2096-5508
    Publication Date: 2023-03-20
    Description: Jellyfi sh blooms have increased worldwide, and the outbreaks of jellyfi sh population not only aff ect the food web structures via voracious predation but also play an important role in the dynamics of nutrients and oxygen in planktonic food webs. However, it remains unclear whether specifi c carbon compounds released through jellyfi sh metabolic processes have the potential to shape bacterial community composition. Therefore, in this study, we aimed to investigate the compositional succession of the bacterioplankton community in response to the dissolved organic matter (DOM) released by the live Scyphomedusae Cyanea lamarckii and Chrysaora hysoscella collected from Helgoland Roads of the North Sea. The bacterial community was signifi cantly stimulated by the DOM released form live jellyfish and different dominant phylotypes were observed for these two Scyphomedusae species. Furthermore, the bacterial community structures in the diff erent DOM sources, jellyfi sh-incubated media, Kabeltonne seawater, and artificial seawater (DOM-free) were signifi cantly diff erent, as revealed by automated ribosomal intergenic spacer analysis fingerprints. Catalyzed reporter deposition fl uorescence in situ hybridization (CARD-FISH) revealed a rapid species-specific shift in bacterial community composition. Gammaproteobacteria dominated the community instead of the Bacteroidetes community for C . lamarckii, whereas Gammaproteobacteria and Bacteroidetes dominated the community for C . hysoscella. The signifi cant diff erences in the bacterial community composition and succession indicate that the components of the DOM released by jellyfish might differ with jellyfish species.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 2
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    Springer Science and Business Media LLC
    In:  EPIC3Analytical and Bioanalytical Chemistry, Springer Science and Business Media LLC, ISSN: 1618-2642
    Publication Date: 2023-07-06
    Description: 〈jats:title〉Abstract〈/jats:title〉〈jats:p〉One of the biggest issues in microplastic (MP, plastic items  〈5 mm) research is the lack of standardisation and harmonisation in all fields, reaching from sampling methodology to sample purification, analytical methods and data analysis. This hampers comparability as well as reproducibility among studies. Concerning chemical analysis of MPs, Fourier-transform infrared (FTIR) spectroscocopy is one of the most powerful tools. Here, focal plane array (FPA) based micro-FTIR (µFTIR) imaging allows for rapid measurement and identification without manual preselection of putative MP and therefore enables large sample throughputs with high spatial resolution. The resulting huge datasets necessitate automated algorithms for data analysis in a reasonable time frame. Although solutions are available, little is known about the comparability or the level of reliability of their output. For the first time, within our study, we compare two well-established and frequently applied data analysis algorithms in regard to results in abundance, polymer composition and size distributions of MP (11–500 µm) derived from selected environmental water samples: (a) the siMPle analysis tool (systematic identification of MicroPlastics in the environment) in combination with MPAPP (MicroPlastic Automated Particle/fibre analysis Pipeline) and (b) the BPF (Bayreuth Particle Finder). The results of our comparison show an overall good accordance but also indicate discrepancies concerning certain polymer types/clusters as well as the smallest MP size classes. Our study further demonstrates that a detailed comparison of MP algorithms is an essential prerequisite for a better comparability of MP data.〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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