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Spatial and temporal dynamics of a freshwater eukaryotic plankton community revealed via 18S rRNA gene metabarcoding

机译:通过18S rRNA基因组成的淡水真核浮游生物群落的空间和时间动态

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DNA metabarcoding is a sophisticated molecular tool that can enhance biological surveys of freshwater plankton communities by providing broader taxonomic coverage and, for certain groups, higher taxonomic resolution compared to morphological methods. We conducted 18S rRNA gene metabarcoding analyses on 214 water samples collected over a four-month period from multiple sites within a freshwater reservoir. We detected 1,314 unique operational taxonomic units that included various metazoans, protists, chlorophytes, and fungi. Alpha diversity differed among sites, suggesting local habitat variation linked to differing species responses. Strong temporal variation was detected at both daily and monthly scales. Diversity and relative abundance patterns for several protist groups (including dinoflagellates, ciliates, and cryptophytes) differed from arthropods (e.g., cladocerans and copepods), a traditional focus of plankton surveys. This suggests that the protists respond to different environmental dimensions and may therefore provide additional information regarding ecosystem status. Comparison of the sequence-based population survey data to conventional-based data revealed similar trends for taxa that were ranked among the most abundant in both approaches, although some groups were missing in each data set. These results highlight the potential benefit of supplementing conventional biological survey approaches with metabarcoding to obtain a more comprehensive understanding of freshwater plankton community structure and dynamics.
机译:DNA元建是一种复杂的分子工具,可以通过提供更广泛的分类覆盖率来增强淡水浮游生道社区的生物学调查,并且对于某些群体,与形态学方法相比,较高的分类分辨率。我们在淡水储层内的多个位点收集的214个水样中进行了18秒的RRNA基因成立分析。我们检测到1,314个独特的运作分类单位,包括各种美容的美唑烷,保护药物,叶绿素和真菌。 alpha多样性在地点不同,建议与不同物种反应相关的地方栖息地变化。每日和每月尺度都检测到强烈的时间变异。几种蛋白质组(包括Dinoflagellates,Ciliates和Cryptophytes)的多样性和相对丰度模式不同于节肢动物(例如,Cladocerans和Copepods),这是浮游生物调查的传统焦点。这表明该保护者对不同的环境维度响应,因此可以提供关于生态系统状态的额外信息。基于序列的人口调查数据对基于常规数据的比较显示出在两种方法中最丰富的分类群的类似趋势,尽管每个数据集都缺少一些群体。这些结果突出了补充常规生物调查方法的潜在益处,以便更全面地了解淡水浮游生物群落结构和动态。

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