Metschnikowia bicuspidata in aquaculture: Pathogenesis, characteristics, and biocontrol approaches

IF 1.9 4区生物学 Q2 BIOLOGY

Biosystems Pub Date : 2025-06-09 DOI:10.1016/j.biosystems.2025.105518

Vinh Hong Thinh Le , Baoying Lu , Yunxia Hu, Qinghua Wang

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引用次数: 0

Abstract

Metschnikowia bicuspidata, a pathogenic yeast species, is responsible for significant disease outbreaks, including the devastating milky disease in aquaculture systems. This review consolidates current knowledge of its pathogenesis, genomic characteristics, histopathology, and treatments. The yeast's psychrotolerant nature and ability to exploit aquatic hosts even under adverse conditions have heightened its impact, particularly in high-density farming environments. Potential treatments, such as antibiotics, killer toxins, and Massoia lactone, show promising antifungal activity, yet each presents challenges regarding environmental impact, resistance development, and application efficiency. Advancements in genomic research and innovative biocontrol methods, including nanotechnology-enhanced delivery systems, provide new opportunities for disease management. This review emphasizes the urgent need for effective and eco-friendly strategies to combat M. bicuspidata in aquaculture while identifying critical areas for future investigation.

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水产养殖中的双尖裂腹螨：发病机制、特征和生物防治方法。

双尖裂芽胞菌是一种致病性酵母菌，是造成重大疾病暴发的原因，包括水产养殖系统中毁灭性的乳糜病。本文综述了目前关于其发病机制、基因组特征、组织病理学和治疗的知识。酵母的耐寒性和即使在不利条件下也能利用水生宿主的能力增强了它的影响，特别是在高密度的农业环境中。潜在的治疗方法，如抗生素、杀伤毒素和马尾草内酯，显示出有希望的抗真菌活性，但每种治疗方法都面临着环境影响、耐药性发展和应用效率方面的挑战。基因组研究和创新生物防治方法的进展，包括纳米技术增强的给药系统，为疾病管理提供了新的机会。这篇综述强调了迫切需要有效和生态友好的策略来对抗水产养殖中的双尖裂尾绦虫，同时确定了未来调查的关键领域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Biosystems 生物-生物学

CiteScore

3.70

自引率

18.80%

发文量

129

审稿时长

34 days

期刊介绍： BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.