Swiss Federal Institute of Aquatic Science and Technology (EAWAG), Dübendorf 8600, Switzerland.
School of Biosciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom.
Environ Sci Technol. 2024 Sep 17;58(37):16560-16569. doi: 10.1021/acs.est.4c04813. Epub 2024 Aug 30.
Cyanobacterial blooms require monitoring, as they pose a threat to ecosystems and human health, especially by the release of toxins. Along with widely reported microcystins, cyanobacteria coproduce other bioactive metabolites; however, information about their dynamics in surface waters is sparse. We investigated dynamics across full bloom successions throughout a five-year lake monitoring campaign (Greifensee, Switzerland) spanning 150 sampling dates. We conducted extensive suspect screening of cyanobacterial metabolites using the database CyanoMetDB. Across all 850 samples, 35 metabolites regularly co-occurred. Microcystins were present in 70% of samples, with [d-Asp,()-Dhb]MC-RR reaching concentrations of 70 ng/L. Anabaenopeptins, meanwhile, were detected in 95% of all samples with concentrations of Oscillamide Y up to 100-fold higher than microcystins. Based on LC-MS response and frequency, we identified indicator metabolites exclusively produced by one of three cyanobacteria isolated from the lake, these being [d-Asp,()-Dhb]MC-RR from sp. G2020, Microginin 761B from sp. G2011, and Ferintoic acid B from sp. G2020. These indicators showed distinct temporal trends and peaking seasons that reflect the variance in either the abundance of the producing cyanobacteria or their toxin production dynamics. Our approach demonstrates that selecting high LC-MS response and frequent and species-specific indicator metabolites can be advantageous for cyanobacterial monitoring.
蓝藻水华需要监测,因为它们对生态系统和人类健康构成威胁,特别是通过释放毒素。除了广泛报道的微囊藻毒素外,蓝藻还会共产生其他生物活性代谢物;然而,关于它们在地表水中的动态信息却很少。我们在跨越五年的湖泊监测活动(瑞士格雷芬湖)中,对整个完整的水华演替进行了调查,共进行了 150 次采样。我们使用数据库 CyanoMetDB 对蓝藻代谢物进行了广泛的可疑筛选。在所有 850 个样本中,有 35 种代谢物经常共同出现。微囊藻毒素存在于 70%的样本中,[d-Asp,()-Dhb]MC-RR 浓度达到 70ng/L。与此同时,阿纳巴肽在所有样本中均有检测到,其中 Oscillamide Y 的浓度比微囊藻毒素高 100 倍。根据 LC-MS 响应和频率,我们确定了仅由从湖中分离出的三种蓝藻中的一种产生的指示代谢物,这些代谢物分别为 sp. G2020 产生的[d-Asp,()-Dhb]MC-RR、sp. G2011 产生的 Microginin 761B 和 sp. G2020 产生的 Ferintoic acid B。这些指标表现出明显的时间趋势和峰值季节,反映了产生蓝藻的丰度或其毒素产生动态的变化。我们的方法表明,选择高 LC-MS 响应、频繁和物种特异性的指示代谢物,对于蓝藻监测可能是有利的。