Department of Biological Sciences, Universidad de Bogota Jorge Tadeo Lozano, Carrera 4 No. 22-61, Bogota, Colombia.
Department of Biology, Ichthyology Laboratory, Ecology and Systematics Unit (UNESIS), Pontifical Javeriana University, Transversal 4 No. 42-00, Bogotá, Colombia.
Environ Sci Pollut Res Int. 2022 Apr;29(17):25157-25183. doi: 10.1007/s11356-021-17644-7. Epub 2021 Nov 27.
Metallothionein-like protein concentrations (MT) and three functionally defined fractions of cholinesterase activity (ChE) were quantified in gill and digestive gland homogenates of tropical cup oysters from 5 nearshore locations in the Colombian Caribbean and correlated with sediment and tissue metal (9 metals) and pesticide (22 organophosphates, OPs, and 20 organochlorines-OCPs), as well as water physical-chemical parameters (salinity, pH, temperature, and dissolved oxygen). Tissue and sediment pesticide concentrations were below detection limits in all samples, whereas sediment and tissue metal concentrations exceeded environmental thresholds at several locations. Tissue MT and ChE biomarkers varied by a factor of 5-6 between locations. Inhibition of cholinesterase activity was negligible for all 5 sites, despite spatial-temporal variation in ChE activity, consistent with below-detection OP concentrations. Tissue MT and ChE biomarkers correlated with tissue and metal sediment concentrations, yet, statistically significant covariance between biomarkers and water chemistry parameters was also observed, indicating that both, metal concentrations and physical-chemical variables, are likely to be responsible for generating the observed spatial-temporal variations in biomarker patterns.
在哥伦比亚加勒比海的 5 个近岸地点,从热带杯状贻贝的鳃和消化腺匀浆中定量了金属硫蛋白样蛋白浓度 (MT) 和胆碱酯酶活性的三个功能定义分数 (ChE),并与沉积物和组织中的金属 (9 种金属) 和农药 (22 种有机磷农药,OPs 和 20 种有机氯农药-OCPs) 以及水理化参数 (盐度、pH 值、温度和溶解氧) 相关联。所有样品中的组织和沉积物农药浓度均低于检测限,而在多个地点,沉积物和组织金属浓度超过了环境阈值。组织 MT 和 ChE 生物标志物在不同地点之间的差异高达 5-6 倍。尽管 ChE 活性存在时空变化,但所有 5 个地点的胆碱酯酶活性抑制均微不足道,这与检测不到的 OP 浓度一致。组织 MT 和 ChE 生物标志物与组织和金属沉积物浓度相关,但生物标志物和水化学参数之间也观察到统计学上显著的协方差,表明金属浓度和理化变量都可能是导致生物标志物模式观察到的时空变化的原因。