Efficacy of White Spot Syndrome Virus Protein VP28-Expressing Chlorella vulgaris as an Oral Vaccine for Shrimp

Viruses, Journal Year: 2023, Volume and Issue: 15(10), P. 2010 - 2010

Published: Sept. 27, 2023

The white spot syndrome virus (WSSV) is the causative agent of disease, which kills shrimp within a few days infection. Although WSSV has mortality rate almost 100% and poses serious threat to farming industry, strategies for its prevention treatment are extremely limited. In this study, we examined efficacy VP28, recombinant protein expressed in Chlorella vulgaris (C. vulgaris), as an oral vaccine. When compared with control group, had cumulative 100%, treated 5% VP28-expressing C. their feed only 20% 12 after challenge. nonvaccinated transcription anti-lipopolysaccharide factor, C-type lectin, prophenoloxidase genes, involved defense against infection, was upregulated 29.6 fold, 15.4 11.5 respectively. These findings highlight potential host industrial vaccine production.

Language: Английский

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Oral Administration of Antimicrobial Peptide NZ2114 Through the Microalgal Bait Tetraselmis subcordiformis (Wille) Butcher for Improving the Immunity and Gut Health in Turbot (Scophthalmus maximus L.)

Marine Biotechnology, Journal Year: 2024, Volume and Issue: 26(2), P. 230 - 242

Published: March 19, 2024

Language: Английский

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GPU-accelerated non-dominated sorting genetic algorithm III for maximizing protein production

Electronic Research Archive, Journal Year: 2024, Volume and Issue: 32(4), P. 2514 - 2540

Published: Jan. 1, 2024

<abstract><p>Maximizing protein expression levels poses a major challenge in bioengineering. To increase levels, numerous factors, including codon bias, context hidden stop codons, homologous recombination, suitable guanine-cytosine ratio, and hairpin loop structure, are crucial quantified by six objective functions: CAI, CPB, HSC, HD, GC3, SL. Optimizing these objectives simultaneously constitutes multi-objective optimization problem, aiming to identify the favorable Pareto solutions rather than singular optimal solution. However, achieving satisfactory requires cycles solutions, thus leading large number of functional evaluations. While there frameworks for problems, they often lack efficient support function computation encoding. In this paper, we proposed method design set coding sequences (CDSs) based on non-dominated sorting genetic algorithm III (NSGA-III), accelerated using NVIDIA graphical processing units (GPUs). Experimental results indicated that our is 15,454 times faster Pymoo framework evaluated 100 cycles. Since GPU implementation facilitated use larger more cycles, were able superior CDSs increasing 400 12,800. addition, NSGA-III-based consistently surpassed NSGA-II approach when exceeded 3200 utilizing solutions. Finally, observed gradual reduction mutation probability as increased yielded better quality maintaining fixed probability.</p></abstract>

Language: Английский

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Manipulating Silver Nanoparticles with Biomolecular Corona Secreted from Vertebrates to Improve the Loading Capacity and Biocompatibility

ACS Nano, Journal Year: 2024, Volume and Issue: 18(42), P. 28782 - 28792

Published: Oct. 7, 2024

Silver nanoparticles (AgNPs) are widely used as nanoagents in biomedical fields, while it is still challenging to improve their loading capacity and biocompatibility microcarrier delivering systems. Herein, the physicochemical properties of AgNPs were manipulated by forming biomolecular corona derived from bovine serum albumin (AC), three organisms at various trophic levels:

Language: Английский

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Biomedical applications of algal-based products

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 567 - 579

Published: Nov. 22, 2024

Language: Английский

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Optimization of designing multiple genes encoding the same protein based on NSGA-II for efficient execution on GPUs

Electronic Research Archive, Journal Year: 2023, Volume and Issue: 31(9), P. 5313 - 5339

Published: Jan. 1, 2023

<abstract><p>In synthetic biology, it is a challenge to increase the production of target proteins by maximizing their expression levels. In order augment levels, we need focus on both homologous recombination and codon adaptation, which are estimated three objective functions, namely HD (Hamming distance), LRCS (length repeated or common substring) CAI (codon adaptation index). Optimizing these functions simultaneously becomes multi-objective optimization problem. The aim find satisfying solutions that have high low incidence recombination. However, obtaining satisfactory requires calculating multiple times with many cycles solutions. this paper, propose an approach accelerate method designing set CDSs (CoDing sequences) based NSGA-II (non-dominated sorting genetic algorithm II) NVIDIA GPUs. implementation accelerated GPUs improves overall performance 187.5$ \times $ using 100 128 Our allows us use larger more cycles, leading outstanding solution quality. improved provides much better in similar amount time compared other available methods 1.22$ improvements hypervolume. Furthermore, our also suggests how efficiently utilize latest computational resources bioinformatics. Finally, discuss impacts number CDSs.</p></abstract>

Language: Английский

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Efficacy of a Microalgal Feed Additive in Commercial Honey Bee Colonies Used for Crop Pollination

ACS Agricultural Science & Technology, Journal Year: 2023, Volume and Issue: 3(9), P. 748 - 759

Published: Aug. 15, 2023

Honey bees are experiencing nutritional deficiencies related to intensive agriculture and climate change, posing major threats the ecosystem services they provide. Colonies managed for crop pollination fed artificial diets offset reduced pollen in environment stimulate population growth. Here, we evaluated effects of a spirulina microalga feed additive on commercial honey bee colonies an agriculturally desert environment. One hundred were used randomized block design that was replicated at two apiary sites over 4 months leading up spring almond pollination. pollen-free diet or same containing 25% spirulina. Unfed randomly assigned within treatment blocks as controls. We measured colony size, brood production, thermoregulation, panel molecular biomarkers associated with status, stress responses, gut microbiota. Hive imaging continuous temperature data enabled sensitive detection effects. Spirulina significantly improved production thermoregulation prior relative unfed Bees had distinct expression profiles nutrition response genes, but gene primarily driven by site. conclude is sustainable potential improve efficiency supporting larger, healthier colonies.

Language: Английский

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Approaching Challenges Posed by SARS-CoV-2 Genetic Variants

Pathogens, Journal Year: 2022, Volume and Issue: 11(12), P. 1407 - 1407

Published: Nov. 23, 2022

In this new collection of the most viewed and cited papers, one Editor’s chosen articles, published in Pathogens 2021, addressed impact concerns relating to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) its variants [...]

Language: Английский

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