Picard Maïlys, Wood Susanna A, Pochon Xavier, Vandergoes Marcus J, Reyes Lizette, Howarth Jamie D, Hawes Ian, Puddick Jonathan
Cawthron Institute, Private Bag 2, Nelson 7042, New Zealand.
Department of Biological Sciences, School of Biological Sciences, University of Waikato, Hamilton 3216, New Zealand.
Microorganisms. 2022 Jan 25;10(2):279. doi: 10.3390/microorganisms10020279.
Understanding the historical onset of cyanobacterial blooms in freshwater bodies can help identify their potential drivers. Lake sediments are historical archives, containing information on what has occurred in and around lakes over time. Paleolimnology explores these records using a variety of techniques, but choosing the most appropriate method can be challenging. We compared results obtained from a droplet digital PCR assay targeting a cyanobacterial-specific region of the 16S rRNA gene in sedimentary DNA and cyanobacterial pigments (canthaxanthin, echinenone, myxoxanthophyll and zeaxanthin) analysed using high-performance liquid chromatography in four sediment cores. There were strong positive relationships between the 16S rRNA gene copy concentrations and individual pigment concentrations, but relationships differed among lakes and sediment core depths within lakes. The relationships were more consistent when all pigments were summed, which we attribute to different cyanobacteria species, in different lakes, at different times producing different suites of pigments. Each method had benefits and limitations, which should be taken into consideration during method selection and when interpreting paleolimnological data. We recommend this biphasic approach when making inferences about changes in the entire cyanobacterial community because they yielded complementary information. Our results support the view that molecular methods can yield results similar to traditional paleolimnological proxies when caveats are adequately addressed.
了解淡水水体中蓝藻水华的历史发生情况有助于确定其潜在驱动因素。湖泊沉积物是历史档案,包含随着时间推移湖泊及其周边发生的事情的信息。古湖沼学使用多种技术探索这些记录,但选择最合适的方法可能具有挑战性。我们比较了通过针对沉积DNA中16S rRNA基因的蓝藻特异性区域的液滴数字PCR分析获得的结果,以及使用高效液相色谱法分析的四个沉积岩芯中的蓝藻色素(角黄素、海胆酮、粘藻叶黄素和玉米黄质)。16S rRNA基因拷贝浓度与单个色素浓度之间存在很强的正相关关系,但不同湖泊以及湖泊内不同沉积岩芯深度之间的关系有所不同。当将所有色素相加时,这些关系更为一致,我们将其归因于不同湖泊中不同时间的不同蓝藻物种产生不同的色素组合。每种方法都有其优点和局限性,在方法选择和解释古湖沼学数据时应予以考虑。我们建议在推断整个蓝藻群落的变化时采用这种双相方法,因为它们能提供互补信息。我们的结果支持这样一种观点,即当充分考虑注意事项时,分子方法可以产生与传统古湖沼学指标相似的结果。