Variable inter and intraspecies alkaline phosphatase activity within single cells of revived dinoflagellates

Spatiotemporal dynamics of dinoflagellate communities in the Taiwan Strait and their correlations with micro-eukaryotic and bacterial communities

Dinoflagellate blooms have negative adverse effects on marine ecosystems. However, our knowledge about the spatiotemporal distribution of dinoflagellate communities and their correlations with micro-eukaryotic and bacterial communities is still rare. Here, the sediment micro-eukaryotic and bacterial communities were explored in the Taiwan Strait (TWS) by 16S and 18S rRNA gene high-throughput sequencing. We found that the dinoflagellates were the most abundant algal group in TWS, and their relative abundance was higher in spring and autumn than in summer. Moreover, the species richness and community composition of dinoflagellates showed strong seasonal patterns. NO3-N and NH4-N had the strongest correlations with the spatiotemporal dynamics of community composition of dinoflagellates. The dinoflagellates had a significantly wider niche breadth than other algal groups for NH4-N, NO3-N and NO2-N, and therefore potentially contributed to a wider distribution range and high abundance in TWS. In addition, the dinoflagellates had stronger impacts on microeukaryotes than on bacteria for both community composition and species richness. However, the dinoflagellates showed close coexistence with bacteria but loose coexistence with microeukaryotes in spring co-occurrence networks. This close coexistence suggests the potentially strong synergy effects between dinoflagellates and bacteria in spring dinoflagellate blooms in TWS. Overall, this study revealed the distribution mechanisms of dinoflagellates in TWS based on niche breadth and also unveiled the different effects of dinoflagellates on micro-eukaryotic and bacterial communities.

Peptide-Driven Assembly of Magnetic Beads for Potentiometric Sensing of Bacterial Enzyme at a Subcellular Level

Bacterial enzymes with different subcellular localizations play a critical ecological role in biogeochemical processing. However, precisely quantifying enzymes localized at certain subcellular levels, such as extracellular enzymes, has not yet been fully realized due to the complexity and dynamism of the bacterial outer membrane. Here we present a magneto-controlled potentiometric sensing platform for the specific detection of extracellular enzymatic activity. Alkaline phosphatase (ALP), which is one of the crucial hydrolytic enzymes in the ocean, was selected as the target enzyme. Magnetic beads functionalized with an ALP-responsive self-assembled peptide (GGGGGFFFpYpYEEE, MBs-peptides) prevent negatively charged peptides from entering the bacterial outer membrane, thereby enabling direct potentiometric sensing of extracellular ALP both attached to the bacterial cell surface and released into the surrounding environment. The dephosphorylation-triggered assembly of peptide-coupled magnetic beads can be directly and sensitively measured by using a magneto-controlled sensor. In this study, extracellular ALP activity of Pseudomonas aeruginosa at concentrations ranging from 10 to 1.0 × 105 CFU mL-1 was specifically and sensitively monitored. Moreover, this magneto-controlled potentiometric method enabled a simple and accurate assay of ALP activity across different subcellular localizations.

In-depth analysis of biocatalysts by microfluidics: An emerging source of data for machine learning

Nowadays, the vastly increasing demand for novel biotechnological products is supported by the continuous development of biocatalytic applications which provide sustainable green alternatives to chemical processes. The success of a biocatalytic application is critically dependent on how quickly we can identify and characterize enzyme variants fitting the conditions of industrial processes. While miniaturization and parallelization have dramatically increased the throughput of next-generation sequencing systems, the subsequent characterization of the obtained candidates is still a limiting process in identifying the desired biocatalysts. Only a few commercial microfluidic systems for enzyme analysis are currently available, and the transformation of numerous published prototypes into commercial platforms is still to be streamlined. This review presents the state-of-the-art, recent trends, and perspectives in applying microfluidic tools in the functional and structural analysis of biocatalysts. We discuss the advantages and disadvantages of available technologies, their reproducibility and robustness, and readiness for routine laboratory use. We also highlight the unexplored potential of microfluidics to leverage the power of machine learning for biocatalyst development.

Apparent biogeographical trends in Alexandrium blooms for northern Europe: identifying links to climate change and effective adaptive actions

The marine dinoflagellate Alexandrium Halim represents perhaps the most significant and intensively studied genus with respect to species diversity, life history strategies, toxigenicity, biogeographical distribution, and global magnitude and consequences harmful algal blooms (HABs). The socioeconomic impacts, environmental and human health risks, and mitigation strategies for toxigenic Alexandrium blooms have also been explored in recent years. Human adaptive actions based on future scenarios of bloom dynamics and shifts in biogeographical distribution under climate-change parameters remain under development and not yet implemented on a regional scale. In the CoCliME (Co-development of climate services for adaptation to changing marine ecosystems) project these issues were addressed with respect to past, current and anticipated future status of key HAB genera and expected benefits of enhanced monitoring. Data on the distribution and frequency of Alexandrium blooms related to paralytic shellfish toxin (PST) events from key CoCliME Case Study areas, comprising the North Sea and adjacent Kattegat-Skagerrak, Norwegian Sea, and Baltic Sea, and eastern North Atlantic marginal seas, were evaluated in a contemporary and historical context over the past several decades. The first evidence of possible biogeographical expansion of Alexandrium taxa into eastern Arctic gateways was provided from DNA barcoding signatures. Various key climate change indicators, such as salinity, temperature, and water-column stratification, relevant to Alexandrium bloom initiation and development were identified. The possible influence of changing variables on bloom dynamics, magnitude, frequency and spatial and temporal distribution were interpreted in the context of regional ocean climate models. These climate change impact indicators may play key roles in selecting for the occurrence and diversity of Alexandrium species within the broader microeukaryote communities. For example, shifts to higher temperature and lower salinity regimes predicted for the southern North Sea indicate the potential for increased Alexandrium blooms, currently absent from this area. Ecological and socioeconomic impacts of Alexandrium blooms and effects on fisheries and aquaculture resources and coastal ecosystem function are evaluated, and, where feasible, effective adaptation strategies are proposed herein as emerging climate services.

Evolution of Phytoplankton as Estimated from Genetic Diversity

Phytoplankton are photosynthetic, single-celled organisms producing almost half of all oxygen on Earth and play a central role as prey for higher organisms, making them irreplaceable in the marine food web. As Global Change proceeds, imposing rapidly intensifying selection pressures, phytoplankton are forced to undergo evolution, local extinction, or redistribution, with potentially cascading effects throughout the marine ecosystem. Recent results from the field of population genetics display high levels of standing genetic diversity in natural phytoplankton populations, providing ample ‘evolutionary options’ and implying high adaptive potential to changing conditions. This potential for adaptive evolution is realized in several studies of experimental evolution, even though most of these studies investigate the evolution of only single strains. This, however, shows that phytoplankton not only evolve from standing genetic diversity, but also rely on de novo mutations. Recent global sampling campaigns show that the immense intraspecific diversity of phytoplankton in the marine ecosystem has been significantly underestimated, meaning we are only studying a minor portion of the relevant variability in the context of Global Change and evolution. An increased understanding of genomic diversity is primarily hampered by the low number of ecologically representative reference genomes of eukaryotic phytoplankton and the functional annotation of these. However, emerging technologies relying on metagenome and transcriptome data may offer a more realistic understanding of phytoplankton diversity.

Temporal and Spatial Signaling Mediating the Balance of the Plankton Microbiome

The annual patterns of plankton succession in the ocean determine ecological and biogeochemical cycles. The temporally fluctuating interplay between photosynthetic eukaryotes and the associated microbiota balances the composition of aquatic planktonic ecosystems. In addition to nutrients and abiotic factors, chemical signaling determines the outcome of interactions between phytoplankton and their associated microbiomes. Chemical mediators control essential processes, such as the development of key morphological, physiological, behavioral, and life-history traits during algal growth. These molecules thus impact species succession and community composition across time and space in processes that are highlighted in this review. We focus on spatial, seasonal, and physiological dynamics that occur during the early association of algae with bacteria, the exponential growth of a bloom, and its decline and recycling. We also discuss how patterns from field data and global surveys might be linked to the actions of metabolic markers in natural phytoplankton assemblages.

Bioprocess Optimization for the Production of Arthrospira (Spirulina) platensis Biomass Enriched in the Enzyme Alkaline Phosphatase

The enzyme alkaline phosphatase (ALP) is gaining interest because it exerts bioactive properties and may be a potentially important therapeutic agent for many disorders and diseases. Microalgae are considered an important novel source for the production of diverse bio-compounds and are gaining momentum as functional foods/feeds supplements. So far, studies for the production of ALP are limited to mammalian and partly to some heterotrophic microbial sources after its extraction and/or purification. Methods: Arthrospira was cultivated under P-limitation bioprocess and the effect of the P-limitation degree on the ALP enrichment was studied. The aim of this work was to optimize the cultivation of the edible and generally-recognized-as-safe (GRAS) cyanobacterium Arthrospira platensis for the production of single-cell (SC) biomass enriched in ALP as a potential novel functional diet supplement. Results: The results revealed that the relationship between intracellular-P and single-cell alkaline phosphatase (SC-ALP) activity was inverse; SC-ALP activity was the highest (around 50 U g-1) when intracellular-P was the lowest possible (around 1.7 mg-P g-1) and decreased gradually as P availability increased reaching around 0.5 U g-1 in the control cultures. Under the strongest P-limited conditions, a more than 100-fold increase in SC-ALP activity was obtained; however, protein content of A. platensis decreased significantly (around 22-23% from 58%). Under a moderate P-limitation degree (at intracellular-P of 3.6 mg-P g-1), there was a relatively high SC-ALP activity (>28 U g-1) while simultaneously, a relative high protein content (46%) was attained, which reflects the possibility to produce A. platensis enriched in ALP retaining though its nutritional value as a protein rich biomass source. The paper presents also results on how several parameters of the ALP activity assay, such as pH, temperature etc., and post-harvest treatment (hydrothermal treatment and biomass drying), influence the SC-ALP activity.

Restoration, conservation and phytoplankton hysteresis

Phytoplankton growth depends not only upon external factors that are not strongly altered by the presence of phytoplankton, such as temperature, but also upon factors that are strongly influenced by activity of phytoplankton, including photosynthetically active radiation, and the availability of the macronutrients carbon, nitrogen, phosphorus and, for some, silicate. Since phytoplankton therefore modify, and to an extent create, their own habitats, established phytoplankton communities can show resistance and resilience to change, including managed changes in nutrient regimes. Phytoplankton blooms and community structures can be predicted from the overall biogeochemical setting and inputs, but restorations may be influenced by the physiological responses of established phytoplankton taxa to nutrient inputs, temperature, second-order changes in illumination and nutrient recycling. In this review we discuss the contributions of phytoplankton ecophysiology to biogeochemical hysteresis and possible effects on community composition in the face of management, conservation or remediation plans.