Department of Biomolecular Sciences, Section of Biotechnology, University of Urbino, Fano (PU), Italy.
J Microbiol Methods. 2011 Feb;84(2):234-42. doi: 10.1016/j.mimet.2010.11.024. Epub 2010 Dec 4.
Harmful Algal Blooms (HABs), mainly caused by dinoflagellates and diatoms, have great economic and sanitary implications. An important contribution for the comprehension of HAB phenomena and for the identification of risks related to toxic algal species is given by the monitoring programs. In the microscopy-based monitoring methods, harmful species are distinguished through their morphological characteristics. This can be time consuming and requires great taxonomic expertise due to the existence of morphologically close-related species. The high throughput, automation possibility and specificity of microarray-based detection assay, makes this technology very promising for qualitative detection of HAB species. In this study, an oligonucleotide microarray targeted to the ITS1-5.8S-ITS2 rDNA region of nine toxic dinoflagellate species/clades was designed and evaluated. Two probes (45-47 nucleotides in length) were designed for each species/clade to reduce the potential for false positives. The specificity and sensitivity of the probes were evaluated with ITS1-5.8S-ITS2 PCR amplicons obtained from 20 dinoflagellates cultured strains. Cross hybridization experiments confirmed the probe specificity; moreover, the assay showed a good sensitivity, allowing the detection of up to 2 ng of labeled PCR product. The applicability of the assay with field samples was demonstrated using net concentrated seawater samples, un-spiked or spiked with known amounts of cultured cells. Despite the general application of microarray technology for harmful algae detection is not new, a peculiar group of target species/clades has been included in this new-format assay. Moreover, novelties regarding mainly the probes and the target rDNA region have allowed sensitivity improvements in comparison to previously published studies.
有害藻华(HABs)主要由甲藻和硅藻引起,对经济和卫生有重大影响。监测计划为理解 HAB 现象和识别与有毒藻类物种相关的风险做出了重要贡献。在基于显微镜的监测方法中,通过其形态特征来区分有害物种。这可能很耗时,并且由于存在形态上密切相关的物种,因此需要大量的分类学专业知识。基于微阵列的检测分析具有高通量、自动化和特异性,这使得该技术非常有前途,可以用于定性检测 HAB 物种。在这项研究中,设计并评估了一种针对九个有毒甲藻物种/类群的 ITS1-5.8S-ITS2 rDNA 区的寡核苷酸微阵列。为每个物种/类群设计了两个探针(长度为 45-47 个核苷酸),以减少假阳性的可能性。用从 20 种培养的甲藻菌株获得的 ITS1-5.8S-ITS2 PCR 扩增子评估了探针的特异性和敏感性。交叉杂交实验证实了探针的特异性;此外,该检测方法具有良好的灵敏度,允许检测多达 2 ng 标记的 PCR 产物。通过使用网浓缩海水样本,未加标或加标已知数量的培养细胞,证明了该方法在现场样本中的适用性。尽管微阵列技术在有害藻类检测中的一般应用并不新鲜,但在这种新型测定中包括了一组特别的目标物种/类群。此外,关于探针和目标 rDNA 区域的新颖性使得与以前发表的研究相比,灵敏度得到了提高。