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Flow cytometry-based study of model marine microalgal consortia revealed an ecological advantage of siderophore utilization by the dinoflagellate Amphidinium carterae

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    0557248 - MBÚ 2023 RIV SE eng J - Článek v odborném periodiku
    Malych, R. - Stopka, P. - Mach, J. - Kotabová, Eva - Prášil, Ondřej - Suták, R.
    Flow cytometry-based study of model marine microalgal consortia revealed an ecological advantage of siderophore utilization by the dinoflagellate Amphidinium carterae.
    Computational and Structural Biotechnology Journal. Roč. 20 (2022), s. 287-295. ISSN 2001-0370. E-ISSN 2001-0370
    Grant CEP: GA ČR(CZ) GA18-07822S
    Institucionální podpora: RVO:61388971
    Klíčová slova: iron * phytoplankton * responses * limitation * transport * growth * Amphidinium carterae * Flow cytometry * Iron * Marine microalgae * Proteomics * Siderophores
    Obor OECD: Microbiology
    Impakt faktor: 6.155, rok: 2021
    Způsob publikování: Open access
    https://www.sciencedirect.com/science/article/pii/S2001037021005328?via%3Dihub

    Investigations of phytoplankton responses to iron stress in seawater are complicated by the fact that iron concentrations do not necessarily reflect bioavailability. Most studies to date have been based on single species or field samples and are problematic to interpret. Here, we report results from an experimental cocultivation model system that enabled us to evaluate interspecific competition as a function of iron content and form, and to study the effect of nutritional conditions on the proteomic profiles of individual species. Our study revealed that the dinoflagellate Amphidinium carterae was able to utilize iron from a hydroxamate siderophore, a strategy that could provide an ecological advantage in environments where siderophores present an important source of iron. Additionally, proteomic analysis allowed us to identify a potential candidate protein involved in iron acquisition from hydroxamate siderophores, a strategy that is largely unknown in eukaryotic phytoplankton.(c) 2021 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
    Trvalý link: http://hdl.handle.net/11104/0331407

     
     
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