Smart nano generation of transgenic algae expressing white spot syndrome virus in shrimps for inner ear-oral infection treatments using the spotted hyena optimizer (SHO)-Long short-term memory algorithm

• Published in: Environmental research 2024-02, Vol.243, p.117519-117519, Article 117519
• Main Authors: Liu, Fanli, Zheng, Bin, Zheng, Nan, Alfaiz, Faiz Abdulaziz, Ali, H. Elhosiny, AL Garalleh, Hakim, Assilzadeh, Hamid, Xia, Siwen
• Format: Article
• Language: English
• Subjects: Polymerase chain reaction (PCR); Short-term long memory (LSTM); Smart nano application; Transgenic algae; White spot disease (WSD); White spot syndrome virus (WSSV)
• ISSN: 0013-9351; 1096-0953
• DOI: 10.1016/j.envres.2023.117519

Nanotechnology offers a promising avenue to amplify the effectiveness and precision of using transgenic algae in managing WSSV in shrimp by possibly crafting nano-carriers for targeted therapeutic agent delivery or modifying algae cells at a molecular level. Leveraging the capabilities of nano-scale interventions, this study could explore innovative means to manipulate cellular processes, control biological interactions, and enhance treatment efficacy while minimizing undesirable impacts in aquatic environments. The White Spot Syndrome Virus (WSSV) is a double-stranded DNA virus with a tail and rod form that belongs to theNimaviridaefamily. There is no workable way to manage this illness at the moment. This research proposes a new model based on the Long Short-Term Memory (LSTM) and Spotted Hyena Optimizer (SHO) method to control the inner ear-oral infection, utilizing transgenic algae (Chlamydomonas reinhardtii). It is pretty tricky to modify the weight matrix in LSTM. The output will be more accurate if the weight of the neurons is exact. Histological examinations and nested polymerase chain reaction (PCR) testing were performed on the challenged shrimp every 4 h to assess the degree of white spot disease. The SHO-LSTM has shown the highest accuracy and Roc value (98.12% and 0.93, respectively) and the lowest error values (MSE = 0.182 and MAE = 0.48). The hybrid optimized model improves the overall inner ear-oral linked neurological diseases detection ratio. Additionally, with the slightest technical complexity, it effectively controls the forecast factors required to anticipate the ENT. Algal cells were found to be particularly well-suited for inner ear-oral infections, and shrimps fed a transgenic line had the best survival ratio in WSSV infection studies, with 87% of the shrimp surviving. This shows that using this line would effectively stop the spread of WSSV in shrimp populations. •Nanotechnology amplifies transgenic algae's efficacy against WSSV.•SHO-LSTM model yields 98.12% accuracy in managing infections.•Transgenic algae boosts shrimp survival to 87% amidst WSSV challenge.•Optimized model enhances ENT-linked neurological disease detection.•PCR and histology confirm enhanced efficacy of algae in WSSV control.