The presence of () in different production stages of seafood has generated negative impacts on both public health and the sustainability of the industry. To further better investigate the fitness of at the phenotypical level, a great number of studies have been conducted in recent years using plate counting methods. In the meantime, with the increasing accessibility of the next generation sequencing and the advances in analytical chemistry techniques, omics-oriented biotechnologies have further advanced our knowledge in the survival and virulence mechanisms of at various molecular levels. These observations provide insights to guide the development of novel prevention and control strategies and benefit the monitoring and mitigation of food safety risks associated with contamination. To timely capture these recent advances, this review firstly summarizes the most recent phenotypical level studies and provide insights about the survival of under important stresses and on aquatic products. After that, molecular survival mechanisms of at transcriptomic and proteomic levels are summarized and discussed. Looking forward, other newer omics-biotechnology such as metabolomics and secretomics show great potential to be used for confirming the cellular responses of . Powerful data mining tools from the field of machine learning and artificial intelligence, that can better utilize the omics data and solve complex problems in the processing, analysis, and interpretation of omics data, will further improve our mechanistic understanding of .

中文翻译：

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了解副溶血弧菌的适应性和生存机制的最新进展

()在海鲜不同生产阶段的存在对公众健康和行业的可持续发展产生了负面影响。为了进一步更好地研究表型水平的适应性，近年来利用平板计数方法进行了大量研究。与此同时，随着下一代测序的日益普及和分析化学技术的进步，以组学为导向的生物技术进一步推进了我们对各种分子水平的生存和毒力机制的了解。这些观察结果为指导新型预防和控制策略的制定提供了见解，并有利于监测和减轻与污染相关的食品安全风险。为了及时掌握这些最新进展，本文首先总结了最新的表型水平研究，并提供了有关重要胁迫下和水产品生存的见解。然后，对转录组和蛋白质组水平的分子生存机制进行了总结和讨论。展望未来，其他较新的组学-生物技术，例如代谢组学和分泌组学，显示出用于确认细胞反应的巨大潜力。来自机器学习和人工智能领域的强大数据挖掘工具，可以更好地利用组学数据，解决组学数据处理、分析和解释中的复杂问题，将进一步提高我们对组学数据的机理理解。