State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, School of Marine Sciences, Ningbo University, Ningbo, Zhejiang 315211, China.
Key Laboratory of Aquacultural Biotechnology, Ministry of Education, School of Marine Sciences, Ningbo University, Ningbo, Zhejiang 315211, China. E-mail:
Zool Res. 2024 Jul 18;45(4):910-923. doi: 10.24272/j.issn.2095-8137.2024.158.
is the most extensively cultured shrimp species globally, recognized for its scale, production, and economic value. However, its aquaculture is plagued by frequent disease outbreaks, resulting in rapid and massive mortality. etiological research often lags behind the emergence of new diseases, leaving the causal agents of some shrimp diseases unidentified and leading to nomenclature based on symptomatic presentations, especially in cases involving co- and polymicrobial pathogens. Comprehensive data on shrimp disease statuses remain limited. In this review, we summarize current knowledge on shrimp diseases and their effects on the gut microbiome. Furthermore, we also propose a workflow integrating primary colonizers, "driver" taxa in gut networks from healthy to diseased states, disease-discriminatory taxa, and virulence genes to identify potential polymicrobial pathogens. We examine both abiotic and biotic factors (e.g., external and internal sources and specific-disease effects) that influence shrimp gut microbiota, with an emphasis on the "holobiome" concept and common features of gut microbiota response to diverse diseases. After excluding the effects of confounding factors, we provide a diagnosis model for quantitatively predicting shrimp disease incidence using disease common-discriminatory taxa, irrespective of the causal agents. Due to the conservation of functional genes used in designing specific primers, we propose a practical strategy applying qPCR-assayed abundances of disease common-discriminatory functional genes. This review updates the roles of the gut microbiota in exploring shrimp etiology, polymicrobial pathogens, and disease incidence, offering a refined perspective for advancing shrimp aquaculture health management.
是全球养殖范围最广的虾类品种,其养殖规模、产量和经济价值都很高。然而,其水产养殖经常受到频繁爆发的疾病的困扰,导致迅速和大规模的死亡率。病因学研究往往滞后于新疾病的出现,导致一些虾病的病原体无法确定,并且根据症状表现来命名疾病,尤其是在涉及共病和多病原体的情况下。虾病状况的综合数据仍然有限。在这篇综述中,我们总结了虾病及其对肠道微生物组影响的最新知识。此外,我们还提出了一个工作流程,该流程将主要定植者、从健康状态到患病状态的肠道网络中的“驱动”类群、疾病鉴别类群和毒力基因整合在一起,以识别潜在的多病原体病原体。我们研究了影响虾肠道微生物群的非生物和生物因素(例如,外部和内部来源以及特定疾病的影响),重点关注“全生物组”概念和肠道微生物群对各种疾病的共同反应特征。在排除混杂因素的影响后,我们使用疾病常见鉴别类群提供了一种定量预测虾病发病率的诊断模型,而不考虑病原体。由于用于设计特定引物的功能基因具有保守性,我们提出了一种应用 qPCR 检测疾病常见鉴别功能基因丰度的实用策略。本综述更新了肠道微生物群在探索虾病因、多病原体病原体和疾病发病率中的作用,为推进虾类水产养殖健康管理提供了更精细的视角。