北欧淡水底栖硅藻生物监测的分子与形态数据及其对生态状况的影响

Bonnie Bailet, A. Bouchez, A. Franc, J. Frigerio, F. Keck, S. Karjalainen, F. Rimet, S. Schneider, M. Kahlert
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引用次数: 41

摘要

众所周知,硅藻是水质评估的有效生物指示剂,因为它们对环境压力反应迅速,并且在水体中无处不在。生物膜中底栖硅藻群落的识别,加上污染敏感指数(IPS)等质量指数,可用于淡水生物监测目的。然而,在显微镜下对硅藻物种进行形态学鉴定和计数是耗时的,并且需要广泛的专业知识来处理不断演变的分类学。作为回应,已经开发出一种基于分子且可能更具成本效益的方法,将高通量测序和DNA代谢编码相结合。该方法已经在中欧的硅藻中进行了水质评估测试。在这项研究中,我们对来自北欧的180个生物膜样本(芬诺斯坎迪亚和冰岛的河流和湖泊)应用了传统方法和分子方法。使用NucleoSpin Soil DNA提取试剂盒在两种不同的DNA标记18S-V4和rbcL条形码上获得DNA代谢编码数据,并在Ion Torrent PGM平台上测序。我们评估了分子方法产生物种清单、IPS评分和生态状态等级的能力,这些能力与传统的基于形态学的方法产生的结果相当。这两种方法产生了相关但显著不同的IPS评分和生态状况评估。观察到的偏差可以通过物种清单中的存在/不存在和丰度差异来解释,主要是由于条形码参考数据库的不完整性、引物偏差和生物信息学管道的严格性。丰度差异不如存在/不存在差异常见,但对生态评估的影响更大。参考数据库中缺失的物种大多是嗜酸性底栖硅藻,是北欧低pH水域的典型物种。这两种不同的DNA标记也产生了显著不同的生态状况评估。18S-V4标记的使用产生了更多的物种清单差异,但实现了更类似于传统的基于形态学的方法的生态评估。为了在环境评估中使用,需要进一步开发代谢条形码方法。为了在北欧应用,有必要完成和管理参考数据库,并评估目前可用的生物信息学管道。适用于环境生物监测的新指数也应该直接从分子数据中开发出来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular versus morphological data for benthic diatoms biomonitoring in Northern Europe freshwater and consequences for ecological status
Diatoms are known to be efficient bioindicators for water quality assessment because of their rapid response to environmental pressures and their omnipresence in water bodies. The identification of benthic diatoms communities in the biofilm, coupled with quality indices such as the Indice de polluosensibilité spécifique (IPS) can be used for biomonitoring purposes in freshwater. However, the morphological identification and counting of diatoms species under the microscope is time-consuming and requires extensive expertise to deal with a constantly evolving taxonomy. In response, a molecular-based and potentially more cost-effective method has been developed, coupling high-throughput sequencing and DNA metabarcoding. The method has already been tested for water quality assessment with diatoms in Central Europe. In this study, we applied both the traditional and molecular methods on 180 biofilms samples from Northern Europe (rivers and lakes of Fennoscandia and Iceland). The DNA metabarcoding data were obtained on two different DNA markers, the 18S-V4 and rbcL barcodes, with the NucleoSpin Soil kit for DNA extraction and sequenced on an Ion Torrent PGM platform. We assessed the ability of the molecular method to produce species inventories, IPS scores and ecological status class comparable to the ones generated by the traditional morphology-based approach. The two methods generated correlated but significantly different IPS scores and ecological status assessment. The observed deviations are explained by presence/absence and abundance discrepancies in the species inventories, mainly due to the incompleteness of the barcodes reference databases, primer bias and strictness of the bioinformatic pipeline. Abundance discrepancies are less common than presence/absence discrepancies but have a greater effect on the ecological assessment. Missing species in the reference databases are mostly acidophilic benthic diatoms species, typical of the low pH waters of Northern Europe. The two different DNA markers also generated significantly different ecological status assessments. The use of the 18S-V4 marker generates more species inventories discrepancies, but achieves an ecological assessment more similar to the traditional morphology-based method. Further development of the metabarcoding method is needed for its use in environmental assessment. For its application in Northern Europe, completion and curation of reference databases are necessary, as well as evaluation of the currently available bioinformatics pipelines. New indices, fitted for environmental biomonitoring, should also be developed directly from molecular data.
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来源期刊
Metabarcoding and Metagenomics
Metabarcoding and Metagenomics Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
5.40
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0.00%
发文量
25
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