The Biophysical Properties of Microalgal Cell Surfaces Govern Their Interactions with an Amphiphilic Chitosan Derivative Used for Flocculation and Flotation.

Microalgae show great promise for producing valuable molecules like biofuels, but their large-scale production faces challenges, with harvesting being particularly expensive due to their low concentration in water, necessitating extensive treatment. While methods such as centrifugation and filtration have been proposed, their efficiency and cost-effectiveness are limited. Flotation, involving air-bubbles lifting microalgae to the surface, offers a viable alternative, yet the repulsive interaction between bubbles and cells can hinder its effectiveness. Previous research from our group proposed using an amphiphilic chitosan derivative, polyoctyl chitosan (PO-chitosan), to functionalize bubbles used in dissolved air flotation (DAF). Molecular-scale studies performed using atomic force microscopy (AFM) revealed that PO-chitosan's efficiency correlates with cell surface properties, particularly hydrophobic ones, raising the question of whether this molecule can in fact be used more generally to harvest different microalgae. Evaluating this, we used a different strain of Chlorella vulgaris and first characterized its surface properties using AFM. Results showed that cells were hydrophilic but could still interact with PO-chitosan on bubble surfaces through a different mechanism based on specific interactions. Although force levels were low, flotation resulted in 84% separation, which could be explained by the presence of AOM (algal organic matter) that also interacts with functionalized bubbles, enhancing the overall separation. Finally, flocculation was also shown to be efficient and pH-independent, demonstrating the potential of PO-chitosan for harvesting microalgae with different cell surface properties and thus for further sustainable large-scale applications.

A microfluidic microalgae detection system for cellular physiological response based on an object detection algorithm.

The composition of species and the physiological status of microalgal cells serve as significant indicators for monitoring marine environments. Symbiotic with corals, Symbiodiniaceae are more sensitive to the environmental response. However, current methods for evaluating microalgae tend to be population-based indicators that cannot be focused on single-cell level, ignoring potentially heterogeneous cells as well as cell state transitions. In this study, we proposed a microalgal cell detection method based on computer vision and microfluidics, which combined microscopic image processing, microfluidic chip and convolutional neural network to achieve label-free, sheathless, automated and high-throughput microalgae identification and cell state assessment. By optimizing the data import, training process and model architecture, we solved the problem of identifying tiny objects at the micron scale, and the optimized model was able to perform the tasks of cell multi-classification and physiological state assessment with more than 95% mean average precision. We discovered a novel transition state and explored the thermal sensitivity of three clades of Symbiodiniaceae, and discovered the phenomenon of cellular heat shock at high temperatures. The evolution of the physiological state of Symbiodiniaceae cells is very important for directional cell evolution and early warning of coral ecosystem health.

Macroalgal deep genomics illuminate multiple paths to aquatic, photosynthetic multicellularity.

Macroalgae are multicellular, aquatic autotrophs that play vital roles in global climate maintenance and have diverse applications in biotechnology and eco-engineering, which are directly linked to their multicellularity phenotypes. However, their genomic diversity and the evolutionary mechanisms underlying multicellularity in these organisms remain uncharacterized. In this study, we sequenced 110 macroalgal genomes from diverse climates and phyla, and identified key genomic features that distinguish them from their microalgal relatives. Genes for cell adhesion, extracellular matrix formation, cell polarity, transport, and cell differentiation distinguish macroalgae from microalgae across all three major phyla, constituting conserved and unique gene sets supporting multicellular processes. Adhesome genes show phylum- and climate-specific expansions that may facilitate niche adaptation. Collectively, our study reveals genetic determinants of convergent and divergent evolutionary trajectories that have shaped morphological diversity in macroalgae and provides genome-wide frameworks to understand photosynthetic multicellular evolution in aquatic environments.

Produção de proteínas heterólogas em microalga / Production of heterologous protein in microalga

O objetivo desta tese foi explorar o sistema de produção de proteínas heterólogas em microalga com ênfase em Chlamydomonas reinhardtii por meio de: (1) desenvolvimento de um fotobiorreator tubular fechado de escala laboratorial, utilizando técnicas de manufatura digital; (2) avaliação de 7 diferentes proteínas fluorescentes (mTagBFP, Cerulean, Emerald, crGFP, cOFP, tdTomato e mCherry), como sistema reporter de secreção de proteínas em microalga; (3) avaliação do fotobiorreator desenvolvido utilizando cultivo de cepas recombinantes; (4) desenvolvimento de novos peptídeos sinais para secreção de proteínas em C. reinhardtii; (5) avaliação da produção de um biofármaco (hialuronidase) em microalgas, por meio da expressão de duas isoenzimas codificadas pelos genes HYA1 e SPAM1 em C. reinhardtii. O fotobiorreator tubular foi avaliado quanto a sua capacidade de resistir ao processo de esterilização por autoclavação e seu desempenho por meio do cultivo de cepa recombinante secretando mCherry. A fluorescência das proteínas fluorescentes foi medida por leitor de placas de fluorescência e visualizada intracelularmente por microscopia confocal de fluorescência. A atividade de hialuronidase foi determinada através de um ensaio enzimático turbidimétrico. O desenvolvimento do fotobiorreator resultou em um sistema fechado resistente a autoclavação, com capacidade de cultivo de cepas recombinantes de C. reinhardtii. Esse fotobiorreator proporcionou uma produtividade máxima de 10 mg/L.d de mCherry da cepa recombinante em sistema fechado, com velocidade específica de crescimento máxima de 1,27 d-1 para a cepa recombinante testada. Todas as proteínas fluorescentes avaliadas apresentaram capacidade de secreção por C. reinhardtii, com diferentes níveis de interferências em sua medição, permitindo a escolha da mCherry como proteína reporter. Entre os peptídeos sinais avaliados (quatro descritos na literatura - BiP, ARS1, CAH1 e IBP1 - e seis preditos), o peptídeo predito "SP5" foi o que apresentou maior capacidade de secreção, determinado por níveis de fluorescência no sobrenadante. A avaliação dos peptídeos sinais constatou a necessidade de explorar o desenvolvimento de sistemas de expressão (e.g. vetores de expressão) aliados a análises computacionais, como o SignalP 4.0. Por último, os dados desse estudo mostram que C. reinhardtii transformadas com o vetor de expressão foi capaz de produzir as duas isoformas de hialuronidase em sua forma ativa, evidenciando a capacidade desse sistema para a produção de biofármacos. Portanto, nesta tese o sistema de expressão de proteínas heterólogas baseado em microalgas foi explorado, atingindo os objetivos propostos. O fotobiorreator desenvolvido tem a capacidade de esterilização em escala laboratorial (1) e em cultivo com cepa recombinante propiciou elevada produtividade (3). As proteínas vermelhas fluorescentes apresentaram-se como as proteínas com menores interferências para estudos de secreção em C. reinhardtii (2). Além disso, o peptídeo predito SP5 apresentou o melhor desempenho na secreção de proteínas (4) e o vetor de expressão empregado permitiu a identificação de cepas produtoras de biofármaco hialuronidase (5). Portanto, o sistema de produção de proteínas heterólogas por microalgas é um sistema promissor e poderá permitir, utilizando sistemas de secreção, obter proteínas de alto valor comercial a baixos custos, empregando a secreção e técnicas de cultivo como a fermentação extrativa

In this thesis, the heterologous protein production in microalgae with emphasis on Chlamydomonas reinhardtii was explored through: (1) development of a laboratory scale closed tubular photobioreactor using digital manufacturing techniques; (2) evaluation of different fluorescent proteins (mTagBFP, Cerulean, Emerald, crGFP, cOFP, tdTomato and mCherry) as a reporter system for protein secretion in microalgae (3) evaluation of photobioreactor developed using recombinant strains culture; (4) development of new signals peptides for protein secretion in C. reinhardtii (5) expression evaluation of a biopharmaceutical (Hyaluronidase) in microalgae, through the expression of two isoenzymes encoded by the HYA1 and SPAM1 genes in C. reinhardtii. The tubular photobioreactor was evaluated for its ability to resist sterilization process by autoclaving and its performance by culturing recombinant strain secreting mCherry. Fluorescence of fluorescent proteins was measured by fluorescence plate reader and observed intracellularly by confocal fluorescence microscopy. The hyaluronidase activity was determined by a turbidimetric enzymatic assay. The development of the photobioreactor resulted in a closed system resistant to autoclaving, capable of culturing recombinant strains of C. reinhardtii. This recombinant strain achieved a maximum productivity of 10 mg/L.day of mcherry in the closed system, with a maximum growth rate of 1.27 d-1 for the recombinant strain tested. All the fluorescent proteins evaluated had C. reinhardtii secretion capacity, with different interference levels in their measurement, allowing the selection of mCherry as a reporter protein. Among the evaluated peptides (four described in the literature - BiP, ARS1, CAH1 and IBP1 - and six predicted), the predicted peptide "SP5" was the one that presented greater capacity of secretion, determined by levels of fluorescence in the supernatant. The results of this study point out the need to explore the development of biological systems (i.e., expression vectors) allied to computational analysis. Finally, the data from this study showed that C. reinhardtii could produce the two isoforms of hyaluronidase in its active form, evidencing the capacity of this system to produce biopharmaceuticals. Therefore, in this thesis the heterologous protein expression system based on microalgae was explored, reaching the proposed objectives. The developed photobioreator has sterilization capabilityin laboratorial scale (1) and in culture with recombinant strain had high productivity (3). The red fluorescent proteins was found as the most suitable proteins for studies of secretion in C. reinhardtii with lower interference levels(2). In addition, the predicted SP5 peptide showed the best performance in protein secretion (4) and the expression vector employed allowed the identification of strains producing biopharmaceutical hyaluronidase (5). Therefore, the system of heterologous proteins production by microalgae is promising and will allow, using secretion systems, to obtain proteins of high commercial value at low costs, using secretion and cultivation techniques such as extractive fermentation