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The Microbial Genomes Atlas (MiGA) webserver: taxonomic and gene diversity analysis of Archaea and Bacteria at the whole genome level

机译:微生物基因组图谱(MiGA)网络服务器:在全基因组水平上古细菌和细菌的分类和基因多样性分析

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摘要

The small subunit ribosomal RNA gene (16S rRNA) has been successfully used to catalogue and study the diversity of prokaryotic species and communities but it offers limited resolution at the species and finer levels, and cannot represent the whole-genome diversity and fluidity. To overcome these limitations, we introduced the Microbial Genomes Atlas (MiGA), a webserver that allows the classification of an unknown query genomic sequence, complete or partial, against all taxonomically classified taxa with available genome sequences, as well as comparisons to other related genomes including uncultivated ones, based on the genome-aggregate Average Nucleotide and Amino Acid Identity (ANI/AAI) concepts. MiGA integrates best practices in sequence quality trimming and assembly and allows input to be raw reads or assemblies from isolate genomes, single-cell sequences, and metagenome-assembled genomes (MAGs). Further, MiGA can take as input hundreds of closely related genomes of the same or closely related species (a so-called ‘Clade Project’) to assess their gene content diversity and evolutionary relationships, and calculate important clade properties such as the pangenome and core gene sets. Therefore, MiGA is expected to facilitate a range of genome-based taxonomic and diversity studies, and quality assessment across environmental and clinical settings. MiGA is available at .
机译:小亚基核糖体RNA基因(16S rRNA)已成功用于分类和研究原核生物物种和群落的多样性,但它在物种和更细微的层次上提供有限的分辨率,不能代表整个基因组的多样性和流动性。为了克服这些局限性,我们引入了微生物基因组图谱(MiGA),该服务器允许对未知查询基因组序列进行全部或部分分类,以针对所有具有可用基因组序列的分类学分类分类,以及与其他相关基因组的比较基于基因组聚合的平均核苷酸和氨基酸同一性(ANI / AAI)概念,包括未培养的。 MiGA整合了序列质量修整和组装方面的最佳实践,并允许输入来自分离基因组,单细胞序列和元基因组组装基因组(MAG)的原始读数或组装。此外,MiGA可以将相同或紧密相关物种的数百个紧密相关的基因组作为输入(所谓的“进化枝计划”),以评估其基因含量多样性和进化关系,并计算重要的进化枝特性,例如全基因组和核心基因集。因此,MiGA有望促进一系列基于基因组的分类学和多样性研究,以及跨环境和临床环境的质量评估。 MiGA可在处获得。

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