Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA 92093.
Department of Biological Sciences, University of California San Diego, La Jolla, CA 92093.
Proc Natl Acad Sci U S A. 2021 Oct 5;118(40). doi: 10.1073/pnas.2106882118.
Algae cultivation in open raceway ponds is considered the most economical method for photosynthetically producing biomass for biofuels, chemical feedstocks, and other high-value products. One of the primary challenges for open ponds is diminished biomass yields due to attack by grazers, competitors, and infectious organisms. Higher-frequency observations are needed for detection of grazer infections, which can rapidly reduce biomass levels. In this study, real-time measurements were performed using chemical ionization mass spectrometry (CIMS) to monitor the impact of grazer infections on cyanobacterial cultures. Numerous volatile gases were produced during healthy growth periods from freshwater Pasteur Culture Collection (PCC) 7942, with 6-methyl-5-hepten-2-one serving as a unique metabolic indicator of exponential growth. Following the introduction of a ciliate grazer, the concentrations of multiple volatile species were observed to change after a latent period as short as 18 h. Nitrogenous gases, including ammonia and pyrroline, were found to be reliable indicators of grazing. Detection of grazing by CIMS showed indicators of infections much sooner than traditional methods, microscopy, and continuous fluorescence, which did not detect changes until 37 to 76 h after CIMS detection. CIMS analysis of gases produced by PCC 7942 further shows a complex temporal array of biomass-dependent volatile gas production, which demonstrates the potential for using volatile gas analysis as a diagnostic for grazer infections. Overall, these results show promise for the use of continuous volatile metabolite monitoring for the detection of grazing in algal monocultures, potentially reducing current grazing-induced biomass losses, which could save hundreds of millions of dollars.
藻类在开放式跑道池塘中培养被认为是最经济的方法,可以通过光合作用生产生物量用于生物燃料、化学原料和其他高价值产品。开放式池塘的主要挑战之一是由于捕食者、竞争者和感染性生物的攻击,生物量产量下降。需要更频繁的观察来检测捕食者的感染,因为这种感染会迅速降低生物量水平。在这项研究中,使用化学电离质谱(CIMS)进行实时测量,以监测捕食者感染对蓝藻培养物的影响。在来自淡水巴氏培养物收集(PCC)7942 的健康生长期间,会产生许多挥发性气体,其中 6-甲基-5-庚烯-2-酮是指数生长的独特代谢指标。在引入纤毛虫捕食者后,多达 18 小时的潜伏期后,观察到多种挥发性物质的浓度发生变化。发现包括氨和吡咯啉在内的含氮气体是捕食的可靠指标。CIMS 对捕食的检测比传统方法、显微镜和连续荧光更早地显示出感染的迹象,后者直到 CIMS 检测后 37 到 76 小时才检测到变化。CIMS 对 PCC 7942 产生的气体的分析进一步显示出与生物量相关的挥发性气体产生的复杂时间阵列,这表明可以将挥发性气体分析用作捕食者感染的诊断方法。总的来说,这些结果表明,连续监测挥发性代谢物可能用于检测藻类单培养物中的捕食,从而有可能减少当前由捕食引起的生物量损失,这可能会节省数亿美元。