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Stream water quality assessment by metabarcoding of invertebrates
Ecological Indicators ( IF 6.9 ) Pub Date : 2019-12-16 , DOI: 10.1016/j.ecolind.2019.105982
Franziska Kuntke , Nadieh de Jonge , Martin Hesselsøe , Jeppe Lund Nielsen

Stream water quality assessments are conducted by analysing invertebrate communities as a biological quality element (BQE). In Denmark, water quality assessments of streams are often estimated according to the Danish Stream Fauna Index (DSFI). The conventional DSFI method is time consuming and requires highly specialized expertise for species identification of the relevant indicator invertebrates. Furthermore, conventional species identification of relevant indicators may be hampered by differences in, or lack of, developmental stages or due to damages during the sampling process. Metabarcoding has the potential to overcome the challenges associated with conventional morphology-based species identification. Using high-throughput DNA sequencing, metabarcoding of invertebrates collected from stream water provides an alternative to the expertise of taxonomic experts. The present study applies metabarcoding using universal invertebrate primers targeting the mitochondrial cytochrome oxidase I (COI) gene to determine stream water qualities. The obtained community profiles were compared to conventional water quality assessments according to the Danish Stream Fauna Index (DSFI). Multivariate data analysis of obtained sequences resulted in distinct clusters of taxonomic units, which reflected the stream water quality as defined by the DSFI. In conclusion, the present study supports the knowledge that invertebrates are efficient as BQE for stream water quality assessment. DNA sequencing by metabarcoding provided a unique fingerprint of the studied communities of invertebrates and was successful in describing the stream water quality.



中文翻译:

通过无脊椎动物的亚条形码对溪流水质进行评估

通过将无脊椎动物群落作为生物质量要素(BQE)进行分析来进行溪流水质评估。在丹麦,通常根据丹麦河流动物区系指数(DSFI)估算河流的水质。传统的DSFI方法非常耗时,并且需要高度专业的专业知识来识别相关指示性无脊椎动物。此外,相关指标的常规物种识别可能因发育阶段的差异或缺乏或采样过程中的损坏而受阻。元条形码技术有可能克服与常规基于形态学的物种识别相关的挑战。使用高通量DNA测序,从溪流水中收集的无脊椎动物的超条形码为生物分类专家的专业知识提供了另一种选择。本研究应用针对通用的无脊椎动物引物,针对线粒体细胞色素氧化酶I(COI)基因来确定溪水水质。根据丹麦河流动物区系指数(DSFI),将获得的社区概况与常规水质评估进行比较。对获得序列的多变量数据分析产生了不同的分类单位簇,这些簇反映了DSFI定义的溪流水质。总之,本研究支持无脊椎动物作为BQE进行溪流水质评估的有效知识。通过元条形码进行的DNA测序为研究的无脊椎动物群落提供了独特的指纹,并成功地描述了溪流水质。

更新日期:2019-12-26
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