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用于选择性检测不同水质水平下九种硅藻物种生物标志物的分子工具。

Molecular tools for the selective detection of nine diatom species biomarkers of various water quality levels.

作者信息

Cimarelli Lucia, Singh Kumar Saurabh, Mai Nguyen Thi Nhu, Dhar Bidhan Chandra, Brandi Anna, Brandi Letizia, Spurio Roberto

机构信息

Laboratory of Genetics, School of Biosciences and Veterinary Medicine, University of Camerino, 62032 Camerino, Italy.

出版信息

Int J Environ Res Public Health. 2015 May 22;12(5):5485-504. doi: 10.3390/ijerph120505485.

Abstract

Our understanding of the composition of diatom communities and their response to environmental changes is currently limited by laborious taxonomic identification procedures. Advances in molecular technologies are expected to contribute more efficient, robust and sensitive tools for the detection of these ecologically relevant microorganisms. There is a need to explore and test phylogenetic markers as an alternative to the use of rRNA genes, whose limited sequence divergence does not allow the accurate discrimination of diatoms at the species level. In this work, nine diatom species belonging to eight genera, isolated from epylithic environmental samples collected in central Italy, were chosen to implement a panel of diatoms covering the full range of ecological status of freshwaters. The procedure described in this work relies on the PCR amplification of specific regions in two conserved diatom genes, elongation factor 1-a (eEF1-a) and silicic acid transporter (SIT), as a first step to narrow down the complexity of the targets, followed by microarray hybridization experiments. Oligonucleotide probes with the potential to discriminate closely related species were designed taking into account the genetic polymorphisms found in target genes. These probes were tested, refined and validated on a small-scale prototype DNA chip. Overall, we obtained 17 highly specific probes targeting eEF1-a and SIT, along with 19 probes having lower discriminatory power recognizing at the same time two or three species. This basic array was validated in a laboratory setting and is ready for tests with crude environmental samples eventually to be scaled-up to include a larger panel of diatoms. Its possible use for the simultaneous detection of diatoms selected from the classes of water quality identified by the European Water Framework Directive is discussed.

摘要

目前,我们对硅藻群落组成及其对环境变化的响应的理解受到繁琐的分类鉴定程序的限制。分子技术的进步有望为检测这些与生态相关的微生物提供更高效、强大和灵敏的工具。有必要探索和测试系统发育标记物,以替代使用rRNA基因,因为rRNA基因有限的序列差异无法在物种水平上准确区分硅藻。在这项工作中,从意大利中部采集的附石环境样本中分离出属于8个属的9种硅藻,用于构建一组涵盖淡水全范围生态状态的硅藻。这项工作中描述的程序首先依赖于对两个保守的硅藻基因(延伸因子1-a(eEF1-a)和硅酸转运蛋白(SIT))中特定区域的PCR扩增,以缩小目标的复杂性,随后进行微阵列杂交实验。考虑到目标基因中发现的遗传多态性,设计了具有区分密切相关物种潜力的寡核苷酸探针。这些探针在小型原型DNA芯片上进行了测试、优化和验证。总体而言,我们获得了17个针对eEF1-a和SIT的高度特异性探针,以及19个识别两到三个物种、区分能力较低的探针。这个基本阵列在实验室环境中得到了验证,准备用于对原始环境样本进行测试,最终扩大规模以纳入更多的硅藻。本文还讨论了其用于同时检测欧洲水框架指令确定的水质类别中选定的硅藻的可能性。

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