| Literature DB >> 31935955 |
Simona Fenizia1,2, Kathleen Thume1, Marino Wirgenings1, Georg Pohnert1,2.
Abstract
Osmoregulation in phytoplankton is attributed to several highly polar low-molecular-weight metabolites. A widely accepted model considers dimethylsulfoniopropionate (DMSP) as the most important and abundant osmotically active metabolite. Using an optimized procedure for the extraction and detection of highly polar metabolites, we expand the group of phytoplankton osmolytes by identifying ectoine in several microalgae. Ectoine is known as a bacterial compatible solute, but, to the best of our knowledge, was never considered as a phytoplankton-derived product. Given the ability of microalgae to take up zwitterions, such as DMSP, we tested the hypothesis that the algal ectoine is derived from associated bacteria. We therefore analyzed methanol extracts of xenic and axenic cultures of two different species of microalgae and could detect elevated concentrations of ectoine in those that harbor associated bacteria. However, also microalgae without an associated microbiome contain ectoine in smaller amounts, pointing towards a dual origin of this metabolite in the algae from their own biosynthesis as well as from uptake. We also tested the role of ectoine in the osmoadaptation of microalgae. In the model diatoms Thalassiosira weissflogii and Phaeodactylum tricornutum, elevated amounts of ectoine were found when cultivated in seawater with salinities of 50 PSU compared to the standard culture conditions of 35 PSU. Therefore, we add ectoine to the family of osmoadaptive metabolites in phytoplankton and prove a new, potentially synergistic metabolic interplay of bacteria and algae.Entities:
Keywords: DMSP; Ectoine; LC/MS analysis; compatible solutes; diatoms; osmoadaptation; osmoregulation; phytoplankton
Year: 2020 PMID: 31935955 PMCID: PMC7024275 DOI: 10.3390/md18010042
Source DB: PubMed Journal: Mar Drugs ISSN: 1660-3397 Impact factor: 5.118
Figure 1Chromatographic separation of zwitterionic metabolites in Thalassiosira weissflogii RCC76 (35 PSU xenic, (A)) and CCMP1336 (35 PSU axenic, (B)) using UHPLC–HRMS. The red line in (A) represents the UHPLC–HRMS monitoring of the ion trace m/z = 143.08144 ± 0.0005 after addition of a synthetic ectoine standard, peaks at 5 and 5.2 min are contaminants. The dashed red line in (B) depicts the ion trace of m/z = 143.08144 ± 0.0005. (C), electrospray ionization (ESI) MS and tandem mass spectrometry (MS/MS) of ectoine with characteristic fragments depicted. The identity of the metabolites glycine betaine and homarine were assigned using synthetic standards according to previous studies [2].
Figure 2Comparison of intracellular amounts of ectoine and homarine in xenic (A) and axenic (B) cultures of T. weissflogii. The value of 35 PSU indicates that cultures were maintained constantly at this salinity, 50 PSU (24 h) indicates that cultures grown at 35 PSU were transferred into medium of 50 PSU and analyzed 24 h after transfer, and 50 PSU indicates cultures that were grown for two generations at this elevated salinity. Concentrations are normalized per cell, error bars represent standard deviation (biological replicates, N = 4). Statistical analysis is based on One-Way ANOVA with a Tukey Test for multiple comparison procedures. * P ≤ 0.05, ** P ≤ 0.01, *** P ≤ 0.001.
Cell size and volume of T. weissflogii and P. tricornutum under the different salinity conditions.
| Lenght (µm) | Width (µm) | Cell Volume (µm3) | Standard Deviation | Difference (Δ%) | One Way ANOVA | |
|---|---|---|---|---|---|---|
|
| ||||||
| 35 PSU | 188 | 95.1 | 1.32 × 106 | ±2.59 × 105 | ||
| 50 PSU (24 h) | 227 | 85.7 | 1.23 × 106 | ±1.74 × 105 | −6.82% | n.s. |
| 50 PSU | 207 | 88.9 | 1.29 × 106 | ±3.12 × 105 | −2.27% | n.s. |
|
| ||||||
| 35 PSU | 21.6 | 11.8 | 131 | ±39.1 | ||
| 50 PSU (24 h) | 20.7 | 10.4 | 113 | ±29 | −13.70% | n.s. |
| 50 PSU | 22.4 | 13.6 | 159 | ±33.8 | 21.40% | p < 0.01 |
Figure 3Uptake of stable isotope labeled D3-ectoine in axenic cultures of Thalassiosira weissflogii CCMP1336 under different salinity conditions (see legend of Figure 2 for explanation of the respective treatments). Error bars represent standard deviation (biological replicates, N = 4). Statistical analysis is based on One-Way ANOVA with a Tukey Test for multiple comparison procedures. *** P ≤ 0.001.
Figure 4Ectoine content in xenic cultures of P. tricornutum under different salinity conditions (see legend of Figure 2 for explanation of the respective treatments). Error bars represent standard deviation (biological replicates, N = 4). Statistical analysis is based on One-Way ANOVA with a Tukey Test for multiple comparison procedures. * P < 0.05.
Quantitative survey of ectoine production by xenic marine microalgae compared to other zwitterionic metabolites. Chromatograms for ectoine evaluation and values of dimethylsulfoniopropionate (DMSP) and dimethylsulfoxonium propionate (DMSOP) are obtained from Thume et al. 2018 [4]. Replicates: N = 3, error bars are based on standard deviation.
| Species | GBT | DMSA | Gonyol | |||
|---|---|---|---|---|---|---|
|
| + | + | + | 304.5 ± 61.2 | 3.66 ± 1.23 | 141.67 ± 13.43 |
|
| + | - | + | 16.2 ± 4.4 | 0.029 ± 0.005 | 7.85 ± 1.61 |
|
| + | - | - | 6.56 ± 2.06 | 0.029 ± 0.005 | 5.42 ± 1.89 |
|
| + | - | + | 4.83 + 0.57 | 0.029 ± 0.013 | 2.26 ± 0.45 |
|
| + | - | + | 4.69 + 0.27 | 0.017 ± 0.003 | 2.62 ± 0.53 |