Waidner Lisa A, Potdukhe Trupti V
Hal Marcus College of Science and Engineering, University of West Florida, 11000 University Pkwy, Building 58, Room 108, Pensacola, FL 32514, USA.
GEMS Program, College of Medicine, University of Illinois Chicago, 1853 W. Polk St., Chicago, IL 60612, USA.
Microorganisms. 2023 Oct 5;11(10):2502. doi: 10.3390/microorganisms11102502.
() and () are water- and foodborne bacteria that can cause several distinct human diseases, collectively called vibriosis. The success of oyster aquaculture is negatively impacted by high abundances. Myriad environmental factors affect the distribution of pathogenic , including temperature, salinity, eutrophication, extreme weather events, and plankton loads, including harmful algal blooms. In this paper, we synthesize the current understanding of ecological drivers of and and provide a summary of various tools used to enumerate and in a variety of environments and environmental samples. We also highlight the limitations and benefits of each of the measurement tools and propose example alternative tools for more specific enumeration of pathogenic and . Improvement of molecular methods can tighten better predictive models that are potentially important for mitigation in more controlled environments such as aquaculture.
（）和（）是通过水和食物传播的细菌，可导致几种不同的人类疾病，统称为弧菌病。牡蛎养殖的成功受到高丰度的负面影响。无数环境因素影响致病性（）的分布，包括温度、盐度、富营养化、极端天气事件以及浮游生物量，包括有害藻华。在本文中，我们综合了当前对（）和（）生态驱动因素的理解，并总结了用于在各种环境和环境样本中计数（）和（）的各种工具。我们还强调了每种测量工具的局限性和优点，并提出了用于更具体地计数致病性（）和（）的替代工具示例。分子方法的改进可以加强更好的预测模型，这对于在水产养殖等更可控环境中的缓解措施可能很重要。
