Smalls Jasmine, Jacobs John, Townsend Howard, Chigbu Paulinus, Parveen Salina
Department of Agriculture, Food, and Resource Sciences, University of Maryland Eastern Shore, Princess Anne, MD, United States.
NOAA/NOS/NCCOS, Cooperative Oxford Laboratory, Oxford, MD, United States.
Front Microbiol. 2024 Oct 16;15:1459077. doi: 10.3389/fmicb.2024.1459077. eCollection 2024.
Fluctuations in water quality characteristics influence the productivity of blue crabs (), and the risk of human exposure to pathogenic species. Thus, this study assessed the prevalence of total and pathogenic/clinical markers of and in blue crabs and seawater from the Maryland Coastal Bays (MCBs) and the correlation between levels and physicochemical parameters.
Three to five crabs and 1 L of seawater were collected monthly for 3 years (May 2018 to December 2020) from six sites within the MCBs. Hemolymph and crab tissue were extracted and pooled for each site. Extracted hemolymph, crab tissue, and seawater were analyzed for and using the Most Probable Number (MPN) and real-time PCR methods. A one-way Analysis of Variance (ANOVA), correlations, and linear models were used to analyze the data. Akaike Information Criterion (AICc) was evaluated to determine the model that provides the best fit to the data relating to concentrations and environmental factors.
Results suggested that environmental factors could influence the growth of spp. Both and were more prevalent during the warmer months than colder months. was more prevalent in crab samples compared to seawater. concentrations in seawater and hemolymph were positively correlated with temperature ( = 0.0143 seawater) and pH ( = 0.006 hemolymph). A negative correlation was observed between the concentration of in whole crab (tissue) and dissolved oxygen level ( = 0.0256). The concentration of in seawater was positively correlated with temperature ( = 0.009) and negatively correlated with dissolved oxygen ( = 0.012).
These results provide current information on the spatial and temporal distributions of spp. in the MCBs that are useful for implementing more efficient processing and handling procedures of seafood products.
水质特征的波动会影响蓝蟹的生产力,以及人类接触致病物种的风险。因此,本研究评估了马里兰州沿海湾(MCBs)蓝蟹和海水中 的总标志物以及致病/临床标志物的流行情况,以及 水平与理化参数之间的相关性。
在3年时间里(2018年5月至2020年12月),每月从MCBs内的6个地点采集3至5只螃蟹和1升海水。对每个地点的血淋巴和蟹组织进行提取和合并。使用最可能数(MPN)和实时PCR方法对提取的血淋巴、蟹组织和海水进行 和 分析。采用单因素方差分析(ANOVA)、相关性分析和线性模型对数据进行分析。评估赤池信息准则(AICc)以确定最适合 浓度与环境因素相关数据的模型。
结果表明,环境因素会影响 属物种的生长。 和 在温暖月份比寒冷月份更为普遍。与海水相比, 在蟹样本中更为普遍。海水中和血淋巴中的 浓度与温度(海水 = 0.0143)和pH(血淋巴 = 0.006)呈正相关。在整个螃蟹(组织)中的 浓度与溶解氧水平之间观察到负相关( = 0.0256)。海水中的 浓度与温度呈正相关( = 0.009),与溶解氧呈负相关( = 0.012)。
这些结果提供了MCBs中 属物种时空分布的当前信息,有助于实施更高效的海产品加工和处理程序。