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A metagenomic assessment of microbial eukaryotic diversity in the global ocean

机译:全球海洋微生物真核多样性的偏见评估

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Surveying microbial diversity and function is accomplished by combining complementary molecular tools. Among them, metagenomics is a PCR free approach that contains all genetic information from microbial assemblages and is today performed at a relatively large scale and reasonable cost, mostly based on very short reads. Here, we investigated the potential of metagenomics to provide taxonomic reports of marine microbial eukaryotes. We prepared a curated database with reference sequences of the V4 region of 18S rDNA clustered at 97% similarity and used this database to extract and classify metagenomic reads. More than half of them were unambiguously affiliated to a unique reference whilst the rest could be assigned to a given taxonomic group. The overall diversity reported by metagenomics was similar to that obtained by amplicon sequencing of the V4 and V9 regions of the 18S rRNA gene, although either one or both of these amplicon surveys performed poorly for groups like Excavata, Amoebozoa, Fungi and Haptophyta. We then studied the diversity of picoeukaryotes and nanoeukaryotes using 91 metagenomes from surface down to bathypelagic layers in different oceans, unveiling a clear taxonomic separation between size fractions and depth layers. Finally, we retrieved long rDNA sequences from assembled metagenomes that improved phylogenetic reconstructions of particular groups. Overall, this study shows metagenomics as an excellent resource for taxonomic exploration of marine microbial eukaryotes.
机译:通过组合互补分子工具来实现测量微生物多样性和功能。其中,Metagenomics是一种可免费的方法,其含有来自微生物组合的所有遗传信息,而今天以相对较大的规模和合理的成本进行,主要是基于非常短的读取。在这里,我们调查了偏心组合的潜力,以提供海洋微生物真核生物的分类报告。我们制备了一个策划数据库,其参考序列的v4区域为18s rdna聚集在97%相似度下,并使用该数据库来提取和分类偏心读数。其中一半以上被毫不含糊地隶属于独特的参考,同时可以将其余部分分配给给定的分类学组。由偏心组学报告的总体分量类似于通过18S rRNA基因的V4和V9区的扩增子测序获得的总体,尽管这些扩增子调查中的一种或两种用于ECCAVATA,amoebozoa,真菌和幽皮菌等群体表现不佳。然后,我们使用从表面从表面向下到含有不同海洋的储备层的Picookaryotes和纳米核核糖的多样性,揭示尺寸分数和深度层之间的清晰分类分类。最后,我们检索来自组装的梅毒群的长RDNA序列,其改善特定组的系统发育重建。总体而言,该研究显示了Metagenomics作为海洋微生物真核生物勘探的分类勘探的优秀资源。

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