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熊金波, 沙浩男, 陈炯. 2024: 肠道微生物在探究对虾病因学、多病原菌和疾病风险的研究进展. 动物学研究, 45(4): 910-923. DOI: 10.24272/j.issn.2095-8137.2024.158
引用本文: 熊金波, 沙浩男, 陈炯. 2024: 肠道微生物在探究对虾病因学、多病原菌和疾病风险的研究进展. 动物学研究, 45(4): 910-923. DOI: 10.24272/j.issn.2095-8137.2024.158
Jin-Bo Xiong, Hao-Nan Sha, Jiong Chen. 2024. Updated roles of the gut microbiota in exploring shrimp etiology, polymicrobial pathogens, and disease incidence. Zoological Research, 45(4): 910-923. DOI: 10.24272/j.issn.2095-8137.2024.158
Citation: Jin-Bo Xiong, Hao-Nan Sha, Jiong Chen. 2024. Updated roles of the gut microbiota in exploring shrimp etiology, polymicrobial pathogens, and disease incidence. Zoological Research, 45(4): 910-923. DOI: 10.24272/j.issn.2095-8137.2024.158

肠道微生物在探究对虾病因学、多病原菌和疾病风险的研究进展

Updated roles of the gut microbiota in exploring shrimp etiology, polymicrobial pathogens, and disease incidence

  • 摘要: 凡纳滨对虾(Litopenaeus vannamei)是全球规模最大、产量和经济价值最高的水产养殖种。然而,对虾养殖面临频繁病害暴发,导致迅速和大规模死亡的困境。由于病理学研究滞后于新病害的出现,一些对虾病害的致病源不明,仅依据典型症状命名,尤其是多病菌协同和共感染病害。目前,关于对虾病害的全面信息仍然难以掌握。鉴于此,我们首先简要总结了已报道的虾病、其致病源,以及对肠道微生物群落的影响。耦合主要定殖者、健康到患病对虾肠道微生物网络中的“驱动”菌群、疾病指示菌及其编码的毒力基因等特征,我们提出了一种鉴定潜在多病原菌的分析流程。同时,我们总结了影响对虾肠道菌群的非生物和生物因素(如外源和内源微生物、特定疾病效应),强调利用“共生体”概念和肠道菌群应对不同病害的共性特征。在剔除混杂的协变量因素影响后,我们构建了一个利用病害共性指示菌(与致病源无关,仅于是否发病相关)定量预测虾病发病率的对虾病害风险诊断模型。鉴于功能基因的保守性可以设计特异性引物,我们提出了一种可实际应用的策略,即利用qPCR检测病害共性指示功能基因丰度为自变量,定量预测病害风险。该文综述了肠道微生物群落在探探究对虾病因学、鉴定多病原菌和病害预测方面的最新研究进展。

     

    Abstract: Litopenaeus vannamei 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.

     

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