Seasonal turnover in community composition of stream‐associated macroinvertebrates inferred from freshwater environmental DNA metabarcoding
Seasonal turnover in community composition of stream‐associated macroinvertebrates inferred from freshwater environmental DNA metabarcoding
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根据淡水环境 DNA 元条形码推断的河流相关大型无脊椎动物群落组成的季节性更替
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发表时间：
2021
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通讯作者：
Philip Francis Thomsen
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作者：
Mads Reinholdt Jensen;Eva Egelyng Sigsgaard;Sune Agersnap;Jes Jessen Rasmussen;A. Baattrup‐Pedersen;P. Wiberg‐Larsen;Philip Francis Thomsen
资助信息奥胡斯大学自然科学学院;嘉士伯基金会，资助/奖励编号：CF 180949摘要大型无脊椎动物群落是河流生态系统生物多样性监测和生态状况评估的关键。然而，传统的监测方法需要密集的采样，并依赖于侵入性的形态鉴定，这是耗时的，并依赖于分类学的专业知识。重要的是，采样通常一年只进行一次，即在冬末-春季，大多数指示分类群在溪流中有幼虫阶段。因此，可能无法检测到具有不同物候的物种。在这里，我们使用环境DNA（eDNA）元条形码过滤后的水样收集在春季和秋季从五个流在丹麦，以解决季节性营业额流大型无脊椎动物的群落组成。我们发现，从同一个流采样点的eDNA读取数据清楚地显示不同的社区在春季和秋季，分别。对于五条溪流中的三条，季节甚至似乎是一个比采样点更重要的因素来解释群落组成的变化。最后，我们比较了cDNA数据与近十年的数据集的分类群出现在相同的五个流的基础上踢采样进行通过国家监测计划。这一比较揭示了物种组成的重叠，但这两种方法提供了互补的，而不是相同的见解社区组成。我们的研究表明，水生eDNA metabarcoding是非常有用的物种检测高度多样化的类群，并确定淡水大型无脊椎动物群落组成的季节性模式。因此，我们的研究结果具有重要的意义，在水生生态学的基础研究和应用生物监测。
Funding information Faculty of Natural Sciences, Aarhus University; Carlsberg Foundation, Grant/ Award Number: CF180949 Abstract Macroinvertebrate communities are crucial for biodiversity monitoring and assessment of ecological status in stream ecosystems. However, traditional monitoring approaches require intensive sampling and rely on invasive morphological identifications that are timeconsuming and dependent on taxonomic expertise. Importantly, sampling is often only carried out once in a year, namely during late winter– spring, where most indicator taxa have larval stages in the streams. Hence, species with divergent phenology might not be detected. Here, we use environmental DNA (eDNA) metabarcoding of filtered water samples collected in both spring and autumn from five streams in Denmark to address seasonal turnover in community composition of stream macroinvertebrates. We find that eDNA read data from the same stream sampling site clearly show different communities in spring and autumn, respectively. For three of the five streams, season even appears to be a more important factor than sampling site for explaining the variation in community composition. Finally, we compare eDNA data with a neardecadal dataset of taxon occurrences in the same five streams based on kick sampling conducted through a national monitoring program. This comparison reveals an overlap in species composition, but also that the two approaches provide complementary rather than identical insights into community composition. Our study demonstrates that aquatic eDNA metabarcoding is useful for species detection across highly diverse taxa and for identifying seasonal patterns in community composition of freshwater macroinvertebrates. Thus, our results have important implications for both fundamental research in aquatic ecology and for applied biomonitoring.