Guangxi Key Laboratory of Aquatic Biotechnology and Modern Ecological Aquaculture, Guangxi Engineering Research Center for Fishery Major Diseases Control and Efficient Healthy Breeding Industrial Technology (GERCFT), Guangxi Key Laboratory of Aquatic Biotechnology and Modern Ecological Aquaculture, Guangxi Academy of Sciences, Nanning, China.
Guangxi Yulin Xinjian planting and breeding Co., Ltd, Yulin, China.
J Fish Dis. 2022 Nov;45(11):1711-1719. doi: 10.1111/jfd.13693. Epub 2022 Aug 2.
Nervous necrosis virus (NNV) is one of the most destructive pathogens in marine fish aquaculture and is capable of infecting more than 50 fish species worldwide, which resulted in great economic losses. Effective drugs for managing NNV infection are urgently required. Medicinal plants have been known for thousands of years and benefit of medicinal plants against pathogens in aquaculture have emerged. Nowadays, the most commonly used method for detecting virus infection and assessing antiviral drugs efficacy is reverse transcription-quantitative real-time PCR. However, the application is limited on account of high reagent costs, complex time-consuming operations and long detection time. Aptamers have been widely applied in application of pathogens or diseases diagnosis and treatments because of high specificity, strong affinity, good stability, easy synthesized and low costs. This study aimed to establish an aptamer (GBN34)-based high-throughput screening (GBN34-AHTS) model for efficient selection and evaluation of natural ingredients against NNV infection. GBN34-AHTS is an expeditious rapid method for selecting natural ingredients against NNV, which is characterized with high-speed, dram, sensitive and accurate. AHTS strategy could reduce work intensity and experimental costs and shorten the whole screening cycle of effective ingredients. AHTS should be suitable for rapid selection of effective ingredients against other viruses, which is important for improving the prevention and controlling of aquatic diseases.
神经坏死病毒（NNV）是水产养殖中最具破坏性的病原体之一，能够感染全球 50 多种鱼类，造成了巨大的经济损失。因此，急需有效的药物来治疗 NNV 感染。药用植物已经存在了数千年，其对水产养殖中病原体的益处已经显现。如今，检测病毒感染和评估抗病毒药物疗效最常用的方法是逆转录定量实时 PCR。然而，由于试剂成本高、操作复杂耗时以及检测时间长，该方法的应用受到限制。适体由于具有特异性高、亲和力强、稳定性好、易于合成、成本低等优点，已广泛应用于病原体或疾病的诊断和治疗。本研究旨在建立一种基于适体（GBN34）的高通量筛选（GBN34-AHTS）模型，用于高效筛选和评估天然成分对 NNV 感染的抑制作用。GBN34-AHTS 是一种快速筛选天然成分抑制 NNV 的方法，具有快速、灵敏、准确的特点。AHTS 策略可以降低工作强度和实验成本，缩短有效成分筛选的整个周期。AHTS 应该适用于其他病毒有效成分的快速筛选，这对于改善水生疾病的防控具有重要意义。
