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

0557248 - MBÚ 2023 RIV SE eng J - Journal Article
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, č. 2022 (2022), s. 287-295. ISSN 2001-0370. E-ISSN 2001-0370
R&D Projects: GA ČR(CZ) GA18-07822S
Institutional support: RVO:61388971
Keywords : iron * phytoplankton * responses * limitation * transport * growth * Amphidinium carterae * Flow cytometry * Iron * Marine microalgae * Proteomics * Siderophores
OECD category: Microbiology
Impact factor: 6, year: 2022
Method of publishing: 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/).
Permanent Link: http://hdl.handle.net/11104/0331407