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评价在对奶微生物组进行鸟枪法宏基因组测序时减少污染宿主reads 的方法。

Evaluation of methods for the reduction of contaminating host reads when performing shotgun metagenomic sequencing of the milk microbiome.

机构信息

Teagasc Food Research Centre, Moorepark, Fermoy, Co. Cork, Ireland.

School of Microbiology, University College Cork, Cork, Ireland.

出版信息

Sci Rep. 2020 Dec 10;10(1):21665. doi: 10.1038/s41598-020-78773-6.

Abstract

Shotgun metagenomic sequencing is a valuable tool for the taxonomic and functional profiling of microbial communities. However, this approach is challenging in samples, such as milk, where a low microbial abundance, combined with high levels of host DNA, result in inefficient and uneconomical sequencing. Here we evaluate approaches to deplete host DNA or enrich microbial DNA prior to sequencing using three commercially available kits. We compared the percentage of microbial reads obtained from each kit after shotgun metagenomic sequencing. Using bovine and human milk samples, we determined that host depletion with the MolYsis complete5 kit significantly improved microbial sequencing depth compared to other approaches tested. Importantly, no biases were introduced. Additionally, the increased microbial sequencing depth allowed for further characterization of the microbiome through the generation of metagenome-assembled genomes (MAGs). Furthermore, with the use of a mock community, we compared three common classifiers and determined that Kraken2 was the optimal classifier for these samples. This evaluation shows that microbiome analysis can be performed on both bovine and human milk samples at a much greater resolution without the need for more expensive deep-sequencing approaches.

摘要

shotgun 宏基因组测序是一种用于微生物群落分类和功能分析的有价值的工具。然而,在牛奶等样本中,这种方法具有挑战性,因为微生物丰度低,加上高水平的宿主 DNA,导致测序效率低下且不经济。在这里,我们评估了在测序前使用三种市售试剂盒去除宿主 DNA 或富集微生物 DNA 的方法。我们比较了每个试剂盒在 shotgun 宏基因组测序后获得的微生物reads 的百分比。使用牛和人乳样本,我们确定与其他测试方法相比,MolYsis complete5 试剂盒的宿主耗尽显著提高了微生物测序深度。重要的是,没有引入偏差。此外,增加的微生物测序深度允许通过生成宏基因组组装基因组 (MAG) 进一步表征微生物组。此外,使用模拟群落,我们比较了三种常见的分类器,确定 Kraken2 是这些样本的最佳分类器。这项评估表明,无需使用更昂贵的深度测序方法,就可以在牛和人乳样本中以更高的分辨率进行微生物组分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a01b/7728742/a5c22339cfcb/41598_2020_78773_Fig1_HTML.jpg

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