Intraspecific variation in metal tolerance modulate competition between two marine diatoms.

Autor: Andersson B; Department of Marine Sciences, University of Gothenburg, Göteborg, Sweden. bjorn.andersson@marine.gu.se., Godhe A; Department of Marine Sciences, University of Gothenburg, Göteborg, Sweden., Filipsson HL; Department of Geology, Lund University, Lund, Sweden., Zetterholm L; Department of Marine Sciences, University of Gothenburg, Göteborg, Sweden., Edler L; Doktorsg. 9d, Weaq Lab, Ängelholm, Sweden., Berglund O; Department of Biology, Lund University, Lund, Sweden., Rengefors K; Department of Biology, Lund University, Lund, Sweden.
Jazyk: angličtina
Zdroj: The ISME journal [ISME J] 2022 Feb; Vol. 16 (2), pp. 511-520. Date of Electronic Publication: 2021 Aug 26.
DOI: 10.1038/s41396-021-01092-9
Abstrakt: Despite widespread metal pollution of coastal ecosystems, little is known of its effect on marine phytoplankton. We designed a co-cultivation experiment to test if toxic dose-response relationships can be used to predict the competitive outcome of two species under metal stress. Specifically, we took into account intraspecific strain variation and selection. We used 72 h dose-response relationships to model how silver (Ag), cadmium (Cd), and copper (Cu) affect both intraspecific strain selection and competition between taxa in two marine diatoms (Skeletonema marinoi and Thalassiosira baltica). The models were validated against 10-day co-culture experiments, using four strains per species. In the control treatment, we could predict the outcome using strain-specific growth rates, suggesting low levels of competitive interactions between the species. Our models correctly predicted which species would gain a competitive advantage under toxic stress. However, the absolute inhibition levels were confounded by the development of chronic toxic stress, resulting in a higher long-term inhibition by Cd and Cu. We failed to detect species differences in average Cu tolerance, but the model accounting for strain selection accurately predicted a competitive advantage for T. baltica. Our findings demonstrate the importance of incorporating multiple strains when determining traits and when performing microbial competition experiments.
(© 2021. The Author(s).)
Databáze: MEDLINE
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