Biology subjects

Hassenrück, C.

Publications and source records attributed to Hassenrück, C..

3 recordsLinked to original sources

bioRxiv2026

Semi-Annual Cycles in the Biotic Communities of Temperate Aquatic Habitats

Recurring patterns in biosphere dynamics are anchored in daily and seasonal oscillations in abiotic variables driven by Earths obliquity, rotation, and orbit. While circadian and annual biotic cycles are well studied, persistent supra- or subannual cycles in biotic systems are rarely documented globally. Here, we apply a machine learning approach to DNA metabarcoding time series and detect a biotic semi-annual cycle expressed across aquatic communities in temperate regions across taxonomic domains. We propose that this dynamic reflects a semi-annual mode in insolation and is suppressed under conditions of limited nutrients or sunlight. Our results suggest photoautotrophs are central for the aetiology of the biotic SAM, while demonstrating that it is a community-level phenomena not attributable to single species. The regularity of the biotic SAM suggests value for anticipating less predictable ecological events, including phytoplankton blooms. Overall, our results highlight Earth system-scale forcing of local dynamics and reinforce coupling patterns.

ecology↗

bioRxiv2026

Enhancing the Understanding of Environmental Microbiomes through Topic Modeling: A Quantitative and Qualitative Analysis

BackgroundUnderstanding ecosystem dynamics is essential for assessing ecosystem health, yet remains challenging due to complex biotic and abiotic interactions. Microbial communities are valuable indicators of environmental change, but the high dimensionality of microbiome data requires advanced analytical methods. This study explores the use of topic modeling (TM), an unsupervised machine learning approach initially designed for text analysis, to analyze microbiome data from the dynamic Warnow Estuary on the southern Baltic Sea coast. ResultsWe applied TM to estuarine microbiome data and compared its performance to traditional dimensionality reduction methods, Principal Component Analysis (PCA) and Principal Coordinate Analysis (PCoA). Quantitative results indicate that TM performs comparably to conventional approaches in preserving ecological and functional information, and in certain aspects even superior. In addition, we show qualitatively that NNMF, a TM method, captures latent patterns in the data providing an interpretable perspective on the microbiome. In this exploratory framework, NNMF suggested five distinct sub-communities within the estuary that appear to follow a seasonal succession influenced by freshwater inflow. These sub-communities were associated with specific ranges of salinity and temperature and showed distinct taxonomic profiles, with shared characteristics across the estuarine system. ConclusionsOur findings suggest that TM is a useful tool for exploring complex environmental microbiome datasets, offering a complementary perspective that can provide additional ecological insights. TMs ability to highlight coherent microbial community patterns indicates its promise for supporting environmental monitoring and informing targeted ecosystem management in dynamic habitats, though further studies are needed to fully assess its applicability.

ecology↗

bioRxiv2024

Extraordinary physiology of polyphosphate-accumulating Beggiatoa mats suggests a key role for phosphate buffering in marine sediments

Filamentous sulfide-oxidizing Beggiatoa spp. are widespread in marine coastal environments and can achieve significant biomass because of their substantial size. Their ability to store phosphates in the polymerized form of polyphosphates makes them potentially key players in altering the phosphorus (P) cycle at the sediment-water interface. This study examined phosphate uptake and polyphosphate formation in a P starved culture of the Beggiatoa sp. 35Flor strain. Remarkably, even after severe P starvation over five generations, the survival of the cultures was 46%, demonstrating considerable plasticity to different levels of phosphate availability. Under these P-depleted conditions, 23% of filaments still contained polyphosphates, underscoring its critical role in their metabolism. Upon reintroduction of phosphate to starved cultures, an extremely rapid phosphate uptake was observed within the first 10 minutes, with rates reaching up to 298 mmol P g-1 protein d-1, which is significantly higher than values previously described in the literature for similar-sized organisms. The high phosphate uptake capacity of Beggiatoa spp., estimated at 0.6 - 6 mmol m-2 d-1 for typical densities of filaments in coastal sediments, suggests that these bacteria may play an important role in buffering the phosphate flux in these environments. Thereby, they reduce primary production and subsequent oxygen consumption by other organisms, creating a negative feedback loop that helps maintain ecosystem stability. ImportanceSulfide-oxidizing bacteria of the genus Beggiatoa occur ubiquitously in marine coastal sediments and have a large potential to influence phosphate fluxes at the sediment-water interface owing to their ability to accumulate polyphosphate and their large size. However, the extent to which these bacteria can contribute to phosphorus (P) sequestration or release remains poorly assessed. The importance of this study lies in demonstrating the unusual flexibility in adaptation of the Beggiatoa sp. 35Flor strain to varying P availability, including extreme P starvation, and its capacity to rapidly uptake and store available phosphate in the form of polyphosphate. When considered at a global scale, these physiological traits could lead to P retention in shallow coastal waters, which, in turn, profoundly impacts ecological stability and ecosystem functioning.

microbiology↗