Barkal Layla J, Walsh Naomi M, Botts Michael R, Beebe David J, Hull Christina M
Department of Biomedical Engineering, University of Wisconsin-Madison, 1111 Highland Ave, Madison, WI 53705, USA.
Integr Biol (Camb). 2016 May 16;8(5):603-15. doi: 10.1039/c6ib00012f. Epub 2016 Mar 30.
Germination of spores into actively growing cells is a process essential for survival and pathogenesis of many microbes. Molecular mechanisms governing germination, however, are poorly understood in part because few tools exist for evaluating and interrogating the process. Here, we introduce an assay that leverages developments in microfluidic technology and image processing to quantitatively measure germination with unprecedented resolution, assessing both individual cells and the population as a whole. Using spores from Cryptococcus neoformans, a leading cause of fatal fungal disease in humans, we developed a platform to evaluate spores as they undergo morphological changes during differentiation into vegetatively growing yeast. The assay uses pipet-accessible microdevices that can be arrayed for efficient testing of diverse microenvironmental variables, including temperature and nutrients. We discovered that temperature influences germination rate, a carbon source alone is sufficient to induce germination, and the addition of a nitrogen source sustains it. Using this information, we optimized the assay for use with fungal growth inhibitors to pinpoint stages of germination inhibition. Unexpectedly, the clinical antifungal drugs amphotericin B and fluconazole did not significantly alter the process or timing of the transition from spore to yeast, indicating that vegetative growth and germination are distinct processes in C. neoformans. Finally, we used the high temporal resolution of the assay to determine the precise defect in a slow-germination mutant. Combining advances in microfluidics with a robust fungal molecular genetic system allowed us to identify and alter key temporal, morphological, and molecular events that occur during fungal germination.
孢子萌发成活跃生长的细胞是许多微生物生存和致病的关键过程。然而,由于评估和研究该过程的工具有限,目前对孢子萌发的分子机制仍知之甚少。在此,我们介绍一种检测方法,该方法利用微流控技术和图像处理技术的发展,以前所未有的分辨率定量测量孢子萌发,同时评估单个细胞和整个细胞群体。我们以新型隐球菌(人类致命真菌病的主要病原体)的孢子为研究对象,开发了一个平台,用于评估孢子在分化为营养生长型酵母过程中发生的形态变化。该检测方法使用可通过移液管操作的微型设备,这些设备可以排列起来,以便高效测试包括温度和营养物质在内的各种微环境变量。我们发现温度会影响孢子萌发率,单独的碳源就足以诱导孢子萌发,而添加氮源则能维持萌发过程。利用这些信息,我们对该检测方法进行了优化,使其适用于真菌生长抑制剂,以确定萌发抑制的阶段。出乎意料的是,临床抗真菌药物两性霉素B和氟康唑并没有显著改变孢子向酵母转变的过程或时间,这表明在新型隐球菌中,营养生长和孢子萌发是两个不同的过程。最后,我们利用该检测方法的高时间分辨率,确定了一个慢萌发突变体的确切缺陷。将微流控技术的进步与强大的真菌分子遗传系统相结合,使我们能够识别和改变真菌萌发过程中发生的关键时间、形态和分子事件。