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Multidimensional metrics for estimating phage abundance, distribution, gene density, and sequence coverage in metagenomes

机译:多维指标,用于估计元基因组中的噬菌体丰度,分布,基因密度和序列覆盖率

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摘要

Phages are the most abundant biological entities on Earth and play major ecological roles, yet the current sequenced phage genomes do not adequately represent their diversity, and little is known about the abundance and distribution of these sequenced genomes in nature. Although the study of phage ecology has benefited tremendously from the emergence of metagenomic sequencing, a systematic survey of phage genes and genomes in various ecosystems is still lacking, and fundamental questions about phage biology, lifestyle, and ecology remain unanswered. To address these questions and improve comparative analysis of phages in different metagenomes, we screened a core set of publicly available metagenomic samples for sequences related to completely sequenced phages using the web tool, Phage Eco-Locator. We then adopted and deployed an array of mathematical and statistical metrics for a multidimensional estimation of the abundance and distribution of phage genes and genomes in various ecosystems. Experiments using those metrics individually showed their usefulness in emphasizing the pervasive, yet uneven, distribution of known phage sequences in environmental metagenomes. Using these metrics in combination allowed us to resolve phage genomes into clusters that correlated with their genotypes and taxonomic classes as well as their ecological properties. We propose adding this set of metrics to current metaviromic analysis pipelines, where they can provide insight regarding phage mosaicism, habitat specificity, and evolution.
机译:噬菌体是地球上最丰富的生物实体,并起着主要的生态作用,但是目前的测序噬菌体基因组不足以代表它们的多样性,人们对自然界中这些测序基因组的丰度和分布知之甚少。尽管通过宏基因组测序的出现极大地受益于噬菌体生态学研究,但仍缺乏对各种生态系统中噬菌体基因和基因组的系统性调查,有关噬菌体生物学,生活方式和生态学的基本问题仍未得到解答。为了解决这些问题并改进不同基因组中噬菌体的比较分析,我们使用网络工具“噬菌体生态定位器”筛选了一组公开可用的宏基因组样本,以检测与完全测序的噬菌体相关的序列。然后,我们采用并部署了一系列数学和统计指标,用于多维估计各种生态系统中噬菌体基因和基因组的丰度和分布。分别使用这些指标进行的实验表明,它们在强调环境元基因组中已知噬菌体序列的普遍但不均匀分布方面很有用。结合使用这些指标,我们可以将噬菌体基因组分解为与其基因型,分类学类别及其生态特性相关的簇。我们建议将这组指标添加到当前的超病毒学分析流程中,以提供有关噬菌体镶嵌,生境特异性和进化的见解。

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