Griffith School of Engineering and Built Environment, Griffith University, Parklands Drive, Southport, Queensland 4222, Australia; Cities Research Institute, Griffith University, Parklands Drive, Southport, Queensland 4222, Australia.
Griffith School of Engineering and Built Environment, Griffith University, Parklands Drive, Southport, Queensland 4222, Australia; Cities Research Institute, Griffith University, Parklands Drive, Southport, Queensland 4222, Australia; Australian Rivers Institute, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia.
Water Res. 2022 Apr 1;212:118127. doi: 10.1016/j.watres.2022.118127. Epub 2022 Jan 28.
Cyanobacteria harmful blooms can represent a major risk for public health due to potential release of toxins and other noxious compounds in the water. A continuous and high-resolution monitoring of the cyanobacteria population is required due to their rapid dynamics, which has been increasingly done using in-situ fluorescence of phycocyanin (f-PC) and chlorophyll a (f-Chl a). Appropriate in-situ fluorometers calibration is essential because f-PC and f-Chl a are affected by biotic and abiotic factors, including species composition. Measurement of f-PC and f-Chl a in mixed species assemblages during different growth phases - representative of most field conditions - has received little attention. We hypothesized that f-PC and f-Chl a of mixed assemblages of cyanobacteria may be accurately estimated if taxa composition and fluorescence characteristics are known. We also hypothesized that species with different morphologies would have different fluorescence per unit cell and biomass. We tested these hypotheses in a controlled culture experiment in which photosynthetic pigment fluorescence, chemical pigment extraction, optical density and microscopic enumeration of four common cyanobacteria species (Aphanocapsa sp, Microcystis aeruginosa, Dolichospermum circinale and Raphidiopsis raciborskii) were quantified. Both monocultures and mixed cultures were monitored from exponential to late stationary growth phases. The sum of fluorescence of individual species calculated for mixed samples was not significantly different than measured fluorescence of mixed cultures. Estimated and measured f-PC and f-Chl a of mixed cultures had higher correlations and smaller absolute median errors when estimations were based on fluorescence per biomass instead of fluorescence per cell. Largest errors were overestimations of measured fluorescence for species with different morphologies. Fluorescence per cell was significantly different among most species, while fluorescence per unit biomass was not, indicating that conversion of fluorescence to biomass reduces species-specific bias. This study presents new information on the effect of species composition on cyanobacteria fluorescence. Best practices of deployment and operation of fluorometers, and data-driven models supporting in-situ fluorometers calibration are discussed as suitable solutions to minimize taxa-specific bias in fluorescence estimates.
蓝藻有害藻华由于水中可能释放毒素和其他有害物质,对公共健康构成重大威胁。由于其快速动态,需要对蓝藻种群进行连续的高分辨率监测,越来越多的监测是使用藻蓝蛋白(f-PC)和叶绿素 a(f-Chl a)的原位荧光。由于 f-PC 和 f-Chl a 受到生物和非生物因素的影响,包括物种组成,因此进行适当的原位荧光计校准至关重要。在不同生长阶段的混合物种组合中测量 f-PC 和 f-Chl a-代表大多数野外条件-很少受到关注。我们假设,如果知道分类群组成和荧光特征,则可以准确估计混合藻群的 f-PC 和 f-Chl a。我们还假设具有不同形态的物种将具有不同的单位细胞和生物量的荧光。我们在受控培养实验中检验了这些假设,在该实验中,量化了四种常见蓝藻(Aphanocapsa sp、微囊藻、束丝藻和莱茵衣藻)的光合色素荧光、化学色素提取、光密度和显微镜计数。从指数期到晚期稳定生长期监测了单培养物和混合培养物。混合样品中计算的单个物种荧光总和与混合培养物的测量荧光没有显著差异。当估计值基于生物量的荧光而不是细胞的荧光时,混合培养物的估计和测量的 f-PC 和 f-Chl a 具有更高的相关性和更小的绝对中位数误差。对于具有不同形态的物种,高估了测量的荧光。大多数物种的细胞荧光差异显著,而单位生物量的荧光没有差异,这表明将荧光转换为生物量可以减少物种特异性偏差。本研究提供了关于物种组成对蓝藻荧光影响的新信息。讨论了部署和操作荧光计的最佳实践以及支持原位荧光计校准的数据驱动模型,这些是减少荧光估计中特定类群偏差的合适解决方案。