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Cermeno, P.

Publications and source records attributed to Cermeno, P..

5 recordsLinked to original sources

Temperature-driven dynamics of Chlorella sorokiniana and its microbiome

Temperature is a critical factor in microalgal production, yet its impact on microalgae and their microbiome remains poorly understood. Here, we investigated the responses of Chlorella sorokiniana and its microbial community to temperature increases in four wastewater-based cultures over two months. Two Test cultures were subjected to a thermal gradient from 20 {degrees}C to 34 {degrees}C, and two were Controls at 20 {degrees}C. Eukaryotic and bacterial communities were analyzed using 18S and 16S rRNA gene sequencing, and the microalga genome was reconstructed using PacBio HiFi sequencing and functionally annotated. Control cultures remained stable, whereas Test cultures showed a decline in C. sorokiniana relative abundance and biomass from approximately 24 {degrees}C. In contrast, photosynthetic efficiency remained stable until temperatures exceeded 33 {degrees}C. Above 22-24 {degrees}C, the bacterial community, dominated by Fontibacter, Flavobacterium, and Luteolibacter, was replaced by taxa whose relative abundance increased with rising temperature and microalgal decline, pointing to bacteria better adapted to the stress conditions. Candidate predator-prey dynamics with the protist Cercozoa also intensified as temperature increased. Microalgal genome annotation identified 28 candidate genes corresponding to seven of eight literature-informed high-temperature/heat-stress targets, primarily associated with protein homeostasis, Reactive oxygen species protection, membrane lipid remodeling, and protein degradation. Collectively, these genes likely support the microalga's response and adaptation to environmental stress. Overall, culture destabilization resulted from interacting thermal, microbial, and grazing-related processes rather than temperature alone. Early microbiome changes may therefore provide useful warning signals of culture instability and help improve the management of large-scale microalgal production systems.

microbiology↗

INDITEK-2.0: A Bayesian inverse eco-evolutionary modelling framework for reconstructing Phanerozoic biodiversity

O_LIMechanistic eco-evolutionary models are powerful tools for understanding how life diversified over geological timescales, yet estimating their parameters remains a key challenge. The high computational requirements of these models make probabilistic inversion methods unfeasible. C_LIO_LIWe address this challenge with INDITEK-2.0, a new, cost-efficient eco-evolutionary model that integrates a Bayesian inverse modelling framework for probabilistic estimation of parameters. C_LIO_LITo validate this framework, we conducted a proof-of-concept study. We first generated synthetic biodiversity data for marine invertebrates using INDITEK-2.0 with known parameter values. To mimic field data, some realistic random Gaussian errors were added to the data. We then used our Bayesian inverse modelling framework to recover these original (true) parameter values from the dataset of current biodiversity distributions after 500 million years of diversification. Our solution is a probability distribution on the parameter space, and we show that the method successfully recovered the target parameter values with a relatively low degree of uncertainity. C_LIO_LIINDITEK-2.0s ability to probabilistically infer underlying eco-evolutionary processes provides a new modelling tool for reconstructing the evolutionary history of biodiversity across Earths ecosystems and taxonomic groups. C_LI

ecology↗

The complex interplay between microalgae and the microbiome in production raceways

Algae-associated microbiomes are underexplored, limiting our understanding of their influence on the productivity of large-scale microalgae reactors. To address this, we monitored microbial dynamics in two microalgae biomass production raceways over two 8-month intervals inoculated with Desmodesmus armatus. One reactor was fed with wastewater, while the other received clean water and fertilizers. Metabarcoding of the 18S and 16S rRNA genes revealed a high microbial diversity across two time series, showing thousands of eukaryotic and prokaryotic species growing alongside the microalgae. Chlorophyta and Fungi were the dominant eukaryotic groups, while Alphaproteobacteria, Gammaproteobacteria, Actinobacteria, and Bacteroidia dominated the prokaryotic communities. We found contrasting ASVs (Amplicon Sequence Variant) patterns between healthy (D. armatus abundance >70%) and unhealthy (D. armatus abundance <20%) microbiomes, across reactors and time series. Network analysis identified up to 10 potential ecological interactions among D. armatus and its microbiome, predominantly positive. Our results suggest a link between microbiome composition and D. armatus abundance. Specifically, ASVs associated with a healthy microbiome were positively correlated with D. armatus, while ASVs characteristic of an unhealthy microbiome were negatively correlated. Potentially pathogenic bacteria included Mycobacterium and Flavobacterium, whereas potentially beneficial taxa included Geminocystis, Thiocapsa, Ahniella and Bosea. Several fungal ASVs showed context-specific associations, whereas specific P. tribonemae, A. parallelum, A. desmodesmi, Aphelidiomycota sp., Rozellomycota sp. and, Rhizophidium sp. ASVs were identified as potentially harmful. This study reveals the striking diversity and complexity of microalgae-associated microbiomes within raceways, providing valuable insights for optimizing industrial production processes, particularly for wastewater treatment and sustainable green biomass generation. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=79 SRC="FIGDIR/small/633910v1_ufig1.gif" ALT="Figure 1"> View larger version (21K): org.highwire.dtl.DTLVardef@dfa478org.highwire.dtl.DTLVardef@a6ce03org.highwire.dtl.DTLVardef@11f41f6org.highwire.dtl.DTLVardef@12397b2_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical Abstract.C_FLOATNO General overview of the metabarcoding methodology. Step 1: Sample collection, 2: DNA extraction of the samples, 3: PCR and DNA sequencing of the 18S and 16S rRNA genes, 4: Processing and quality filtering of the DNA sequencing data, 5: Taxonomic, community, and network analyses and, 6: Interpretation and discussion of the results. C_FIG

microbiology↗

Phytoplankton adaptive resilience to climate change collapses in case of extreme events; A modeling study

As climate change unravels, ecosystems are facing a warming of the climate and an increase in extreme heat events that are unprecedented in recent geological history. We know very little of the ability of oceanic phytoplankton communities, key players in the regulation of Earths climate by the oceans, to adapt to these changes. Quantifying the resilience of phytoplankton communities to environmental stressors by means of adaptive evolution is however crucial to accurately predict the response of marine ecosystems to climate change. In this work, we use an eco-evolutionary model to simulate the adaptive response of marine phytoplankton to temperature changes in an initially temperate oligotrophic water-column. By exploring a wide range of scenarios of phytoplankton adaptive capacity, we find that phytoplankton can adapt to temperature increases -even very large ones- as long as they occur over the time scale of a century. However, when rapid and extreme events of temperature change are considered, the phytoplankton adaptive capacity breaks down in a number of our scenarios in which primary productivity plummets as a result. This suggests that current Earth System Models implicitly assuming perfect and instantaneous phytoplankton adaptation to temperature might be overestimating the phytoplanktons resilience to climate change.

ecology↗

Phylogenetic analyses reveal an increase in the speciation rate of raphid pennate diatoms in the Cretaceous

The raphid pennates (order Bacillariales) are a diverse group of diatoms easily recognized by having a slit in the siliceous cell wall, called the raphe, with functions in cell motility. It has been hypothesized that this morphological innovation contributed to the evolutionary success of this relatively young but species-rich group of diatoms. However, owing to the incompleteness of the fossil record this hypothesis remains untested. Using the 18S ribosomal RNA gene, fossil calibrations, and Bayesian phylogenetic and diversification frameworks, we detect a shift in the speciation rate of marine raphid pennate diatoms in the Cretaceous, not detected in other diatom lineages nor previously recognized in the microfossil record. Our results suggest a positive link between the speciation of raphid pennate diatoms and the benefits derived from evolving motility skills, which could account for their outstanding present-day global diversity. The coincidence between the advent of the raphe and the increase in the speciation rate of raphid pennates supports the idea that simple morphological novelties can have important consequences on the evolutionary history of eukaryotic microorganisms.

ecology↗