School of Ocean Sciences, Bangor University, Menai Bridge, Anglesey LL59 5AB, UK.
Biological & Environmental Sciences, University of Stirling, Stirling FK9 4LA, UK.
Sci Total Environ. 2015 Feb 15;506-507:1-9. doi: 10.1016/j.scitotenv.2014.10.100. Epub 2014 Nov 14.
Routine bacterial monitoring of shellfish beds using indicator species is a common global practice designed to prevent human consumption of contaminated shellfish products. However, current bacteriological monitoring procedures which focus on the quantification of faecal indicator organisms (FIOs) as a proxy for microbial pollution may not be representative of total bacterial contamination levels present in shellfish harvesting areas. The objective of this study was to critically assess the accuracy of current monitoring strategies by quantifying the spatial (lateral and longitudinal distance) and temporal (seasonality and tidal state) concentrations of FIOs (Escherichia coli and total coliforms) within a single intertidal commercially harvested shellfish bed. Spatial and temporal FIO dynamics, including the effects of tidal state and seasonality, were quantified in mussel flesh and sediment samples from a single intertidal mussel (Mytilus edulis) bed. Our results confirmed that FIO concentrations across a shellfish bed were heterogeneous over larger spatial and temporal scales, but showed no relation to the concentrations of autochthonous bacteria, such as Vibrio spp., or the physico-chemical parameters of the sediment. These results have important implications for both public health and the economic prosperity of the shellfish industry, and demonstrate the importance of accommodating both spatial and temporal fluctuations in routine bacteriological monitoring protocols. We conclude that current FIO monitoring procedures may not accurately represent levels of microbial contamination within shellfish harvesting areas and that more robust microbiological testing procedures need developing.
常规使用指示物种对贝类养殖场进行细菌监测是一种全球普遍做法,旨在防止人类食用受污染的贝类产品。然而,目前的细菌监测程序侧重于量化粪便指示生物(FIO)作为微生物污染的替代物,而这些程序可能无法代表贝类捕捞区存在的总细菌污染水平。本研究的目的是通过量化单个潮间带商业贝类养殖场内 FIO(大肠杆菌和总大肠菌群)的空间(横向和纵向距离)和时间(季节性和潮汐状态)浓度,来批判性地评估当前监测策略的准确性。在单个潮间带贻贝(贻贝)养殖场的贻贝肉和沉积物样本中,对 FIO 的时空动态(包括潮汐状态和季节性的影响)进行了量化。我们的研究结果证实,贝类养殖场内的 FIO 浓度在较大的空间和时间尺度上存在不均匀性,但与本地细菌(如弧菌属)或沉积物的理化参数的浓度无关。这些结果对公共卫生和贝类产业的经济繁荣都有重要影响,并表明在常规细菌监测方案中,需要兼顾空间和时间波动。我们得出结论,目前的 FIO 监测程序可能无法准确代表贝类捕捞区的微生物污染水平,需要开发更强大的微生物测试程序。