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首页> 外文期刊>Frontiers in Marine Science >Cryptic Zooplankton Diversity Revealed by a Metagenetic Approach to Monitoring Metazoan Communities in the Coastal Waters of the Okhotsk Sea, Northeastern Hokkaido
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Cryptic Zooplankton Diversity Revealed by a Metagenetic Approach to Monitoring Metazoan Communities in the Coastal Waters of the Okhotsk Sea, Northeastern Hokkaido

机译:利用遗传学方法监测北海道东北部鄂霍次克海沿岸后生动物群落揭示的隐性浮游动物多样性

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摘要

Monitoring zooplankton communities is important to understand dynamics in marine ecosystems. However, it is difficult to identify cryptic species and immature stages of zooplankton using morphological classification, which is time-consuming and requires high skill levels. Here, we conducted a metagenetic analysis of the 18S region in 101 zooplankton samples collected weekly throughout 2014 and 2015 at the Okhotsk Tower in Mombetsu, Hokkaido, Japan, and compared the results of this analysis with those provided by morphological analysis. The metagenetic analysis detected 561 molecular taxonomic units (MOTUs), whereas the morphological analysis detected 201 taxonomic groups. Zooplankton communities were dominated by copepods throughout the sampling period; however, non-copepod taxa, which comprised high proportions of both MOTUs (mean 51.1%) and sequence reads (mean 19.1%), were also important. Cryptic diversity detected by the metagenetic analysis was primarily driven by Copepoda and by the larvae of benthic taxa such as Bivalvia, Gastropoda, and Polychaeta. Community structure and diversity varied between periods of warm and cold water, indicating strong correlations with water temperature and thus seasonality. Furthermore, metagenetic analysis revealed detailed seasonal changes in dominant taxa, including larval stages of metazoans with high taxonomic resolutions; these included commercially important organisms such as Japanese scallops. The metagenetic analysis revealed that changes in both water mass and bentho-pelagic interactions sustain ecosystems rich in zooplankton diversity in this area. Metagenetic analysis provides novel insight into zooplankton diversity, and generates massive sequence data that may be used in future research; thus, it is considered an effective tool for monitoring zooplankton communities.
机译:监测浮游动物群落对于了解海洋生态系统的动态非常重要。然而,使用形态学分类难以识别浮游动物的隐性种类和未成熟阶段,这是费时的并且需要高技能水平。在这里,我们对2014年和2015年每周在日本北海道蒙别津的鄂霍次克大厦收集的101个浮游动物样本中的18S区域进行了成因分析,并将该分析结果与形态分析提供的结果进行了比较。遗传分析检测到561个分子分类单位(MOTU),而形态分析检测到201个分类单位。在整个采样期间,浮游动物群落以co足类动物为主。但是,非足足类分类单元也很重要,它包含较高比例的MOTU(平均51.1%)和序列读段(平均19.1%)。通过后生基因分析检测到的隐性多样性主要是由and足类和底栖生物的幼虫(如双壳纲,腹足纲和多毛纲)驱动的。群落结构和多样性在暖水和冷水时期之间有所不同,这表明与水温以及季节相关性很强。此外,遗传学分析揭示了主要类群的详细季节变化,包括具有高分类学分辨率的后生动物的幼虫期;其中包括具有商业意义的重要生物,例如日本扇贝。遗传分析表明,水量和底栖-浮游相互作用的变化维持了该地区浮游动物多样性丰富的生态系统。遗传分析为浮游动物的多样性提供了新颖的见解,并产生了可用于未来研究的大量序列数据;因此,它被认为是监测浮游动物群落的有效工具。

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