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Discovering hidden biodiversity: the use of complementary monitoring of fish diet based on DNA barcoding in freshwater ecosystems

机译:发现隐藏的生物多样性:在淡水生态系统中基于DNA条形码的鱼类饮食补充监测的使用

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Abstract Ecological monitoring contributes to the understanding of complex ecosystem functions. The diets of fish reflect the surrounding environment and habitats and may, therefore, act as useful integrating indicators of environmental status. It is, however, often difficult to visually identify items in gut contents to species level due to digestion of soft-bodied prey beyond visual recognition, but new tools rendering this possible are now becoming available. We used a molecular approach to determine the species identities of consumed diet items of an introduced generalist feeder, brown trout ( Salmo trutta ), in 10 Tasmanian lakes and compared the results with those obtained from visual quantification of stomach contents. We obtained 44 unique taxa (OTUs) belonging to five phyla, including seven classes, using the barcode of life approach from cytochrome oxidase I (COI). Compared with visual quantification, DNA analysis showed greater accuracy, yielding a 1.4-fold higher number of OTUs. Rarefaction curve analysis showed saturation of visually inspected taxa, while the curves from the DNA barcode did not saturate. The OTUs with the highest proportions of haplotypes were the families of terrestrial insects Formicidae, Chrysomelidae, and Torbidae and the freshwater Chironomidae. Haplotype occurrence per lake was negatively correlated with lake depth and transparency. Nearly all haplotypes were only found in one fish gut from a single lake. Our results indicate that DNA barcoding of fish diets is a useful and complementary method for discovering hidden biodiversity.
机译:摘要生态监测有助于理解复杂的生态系统功能。鱼的饮食反映了周围的环境和栖息地,因此可以作为有用的环境状况综合指标。然而,由于软肉食的消化超出了视觉识别的能力,通常很难在视觉上将肠道内容物识别为物种水平,但是现在使这种可能性成为可能的新工具已经出现。我们使用分子方法确定了塔斯马尼亚10个湖泊中引进的全能饲养者褐鳟(Salmo trutta)所消耗的饮食种类的种类,并将结果与​​通过目测胃内容物获得的结果进行了比较。我们使用来自细胞色素氧化酶I(COI)的生命条形码,获得了属于五个门(包括七个类别)的44个独特的分类单元(OTU)。与目测定量相比,DNA分析显示出更高的准确性,产生的OTU数量高1.4倍。反射曲线分析显示,目视检查的分类单元已饱和,而DNA条码的曲线未饱和。单倍型比例最高的OTUs是陆生昆虫科:甲虫,金眼科和龟甲科,以及淡水猫科。每个湖泊的单体型发生与湖泊深度和透明度呈负相关。几乎所有单倍型仅在来自单个湖的一个鱼肠中发现。我们的结果表明,鱼饲料的DNA条形码是发现隐藏的生物多样性的有用和补充方法。

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