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High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries

机译:对90K原核生物基因组的高通量ANI分析显示清晰的物种边界

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A fundamental question in microbiology is whether there is continuum of genetic diversity among genomes, or clear species boundaries prevail instead. Whole-genome similarity metrics such as Average Nucleotide Identity (ANI) help address this question by facilitating high resolution taxonomic analysis of thousands of genomes from diverse phylogenetic lineages. To scale to available genomes and beyond, we present FastANI, a new method to estimate ANI using alignment-free approximate sequence mapping. FastANI is accurate for both finished and draft genomes, and is up to three orders of magnitude faster compared to alignment-based approaches. We leverage FastANI to compute pairwise ANI values among all prokaryotic genomes available in the NCBI database. Our results reveal clear genetic discontinuity, with 99.8% of the total 8 billion genome pairs analyzed conforming to 95% intra-species and 83% inter-species ANI values. This discontinuity is manifested with or without the most frequently sequenced species, and is robust to historic additions in the genome databases.
机译:微生物学中的一个基本问题是,基因组之间是否存在连续的遗传多样性,还是存在明确的物种边界。诸如平均核苷酸同一性(ANI)等全基因组相似性指标可通过促进对来自不同系统发育谱系的数千个基因组的高分辨率分类学分析来帮助解决此问题。为了扩展到可用的基因组及其他,我们提出了FastANI,这是一种使用无比对的近似序列作图来估计ANI的新方法。 FastANI对最终和初稿基因组均准确,与基于比对的方法相比,速度提高了三个数量级。我们利用FastANI在NCBI数据库中可用的所有原核基因组中计算成对ANI值。我们的结果揭示了明显的遗传不连续性,在所分析的80亿个基因组对中,有99.8%符合物种内> 95%和物种间ANI值的> 95%。这种不连续性在有或没有最频繁测序的物种时都表现出来,并且对基因组数据库中的历史性添加具有鲁棒性。

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