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牛津纳米孔文库策略在细菌基因组学中的比较。

A comparison of Oxford nanopore library strategies for bacterial genomics.

机构信息

Ifremer, MASAE Microbiologie Aliment Santé Environnement, F-44000, Nantes, France.

Ifremer, IRSI-SeBiMER, F-29280, Plouzané, France.

出版信息

BMC Genomics. 2023 Oct 20;24(1):627. doi: 10.1186/s12864-023-09729-z.

Abstract

BACKGROUND

Oxford nanopore Technologies (ONT) provides three main library preparation strategies to sequence bacterial genomes. These include tagmentation (TAG), ligation (LIG) and amplification (PCR). Despite ONT's recommendations, making an informed decision for preparation choice remains difficult without a side-by-side comparison. Here, we sequenced 12 bacterial strains to examine the overall output of these strategies, including sequencing noise, barcoding efficiency and assembly quality based on mapping to curated genomes established herein.

RESULTS

Average read length ranged closely for TAG and LIG (> 5,000 bp), while being drastically smaller for PCR (< 1,100 bp). LIG produced the largest output with 33.62 Gbp vs. 11.72 Gbp for TAG and 4.79 Gbp for PCR. PCR produced the most sequencing noise with only 22.7% of reads mappable to the curated genomes, vs. 92.9% for LIG and 87.3% for TAG. Output per channel was most homogenous in LIG and most variable in PCR, while intermediate in TAG. Artifactual tandem content was most abundant in PCR (22.5%) and least in LIG and TAG (0.9% and 2.2%). Basecalling and demultiplexing of barcoded libraries resulted in ~ 20% data loss as unclassified reads and 1.5% read leakage.

CONCLUSION

The output of LIG was best (low noise, high read numbers of long lengths), intermediate in TAG (some noise, moderate read numbers of long lengths) and less desirable in PCR (high noise, high read numbers of short lengths). Overall, users should not accept assembly results at face value without careful replicon verification, including the detection of plasmids assembled from leaked reads.

摘要

背景

牛津纳米孔技术(ONT)提供了三种主要的文库制备策略来测序细菌基因组。这些策略包括标签酶切(TAG)、连接(LIG)和扩增(PCR)。尽管 ONT 有相关建议,但如果没有并列比较,仍然很难在不了解所有信息的情况下做出明智的选择。在这里,我们对 12 株细菌进行了测序,以检查这些策略的整体输出,包括测序噪声、条形码效率和基于与本文中建立的经校对基因组进行映射的组装质量。

结果

TAG 和 LIG 的平均读长接近(>5000 bp),而 PCR 的读长则要小得多(<1100 bp)。LIG 的产量最大,为 33.62 Gbp,而 TAG 为 11.72 Gbp,PCR 为 4.79 Gbp。PCR 产生的测序噪声最大,只有 22.7%的读数可映射到经校对的基因组,而 LIG 为 92.9%,TAG 为 87.3%。LIG 的每个通道的输出最均匀,PCR 的输出最不稳定,而 TAG 的输出则处于中间位置。PCR 中人工串联内容最为丰富(22.5%),而 LIG 和 TAG 中最少(0.9%和 2.2%)。经分类的读取和未分类的读取以及 1.5%的读取泄露导致条形码文库的碱基调用和分拆损失了约 20%的数据。

结论

LIG 的输出最佳(低噪声、长读长的高读数数量),TAG 的输出中等(存在一些噪声、长读长的中等读数数量),PCR 的输出不理想(高噪声、短读长的高读数数量)。总体而言,用户不应不加考虑地接受组装结果,而应仔细检查复制子的验证,包括检测从泄漏的读取中组装的质粒。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2d0/10589936/c91c3060733c/12864_2023_9729_Fig1_HTML.jpg

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