Efficiently Constructing Complete Genomes with CycloneSEQ to Fill Gaps in Bacterial Draft Assemblies

Hewei Liang, Mengmeng Wang, Tongyuan Hu, Haoyu Wang, Wenxin He, Yanmei Ju, Ruijin Guo, Junyi Chen, Fei Guo, Tao Zeng, Yuliang Dong, Bo Wang, Chuanyu Liu, Xin Jin, Wenwei Zhang, Yuanqiang Zou, Xun Xu, Liang Xiao
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Abstract

Current microbial sequencing relies on short-read platforms like Illumina and DNBSEQ, favored for their low cost and high accuracy. However, these methods often produce fragmented draft genomes, hindering comprehensive bacterial function analysis. CycloneSEQ, a novel long-read sequencing platform developed by BGI-Research, its sequencing performance and assembly improvements has been evaluated. Using CycloneSEQ long-read sequencing, the type strain produced long reads with an average length of 11.6 kbp and an average quality score of 14.4. After hybrid assembly with short-read data, the assembled genome exhibited an error rate of only 0.04 mismatches and 0.08 indels per 100 kbp compared to the reference genome. This method was validated across 9 diverse species, successfully assembling complete circular genomes. Hybrid assembly significantly enhances genome completeness by using long reads to fill gaps and accurately assemble multi-copy rRNA genes, which unable be achieved by short reads solely. Through data subsampling, we found that over 500 Mbp of short-read data combined with 100 Mbp of long-read data can result in a high-quality circular assembly. Additionally, using CycloneSEQ long reads effectively improves the assembly of circular complete genomes from mixed microbial communities. CycloneSEQ's read length is sufficient for circular bacterial genomes, but its base quality needs improvement. Integrating DNBSEQ short reads improved accuracy, resulting in complete and accurate assemblies. This efficient approach can be widely applied in microbial sequencing.
利用 CycloneSEQ 高效构建完整基因组,填补细菌草案组装的空白
目前的微生物测序依赖于 Illumina 和 DNBSEQ 等短线程平台,这些平台因成本低、准确性高而备受青睐。然而,这些方法通常会产生片段化的基因组草案,阻碍了细菌功能的全面分析。CycloneSEQ 是 BGI-Research 开发的一种新型长读程测序平台,对其测序性能和组装改进进行了评估。利用 CycloneSEQ 长读数测序技术,该类型菌株产生的长读数平均长度为 11.6 kbp,平均质量分数为 14.4。在与短读数数据进行混合组装后,与参考基因组相比,组装后的基因组每 100 kbp 的错误率仅为 0.04 个错配和 0.08 个吲哚。这种方法在 9 个不同物种中得到了验证,成功地组装出了完整的环状基因组。通过使用长读数填补空白并准确组装多拷贝 rRNA 基因,混合组装大大提高了基因组的完整性,而这是短读数无法实现的。通过数据子采样,我们发现超过 500 Mbp 的短读数数据与 100 Mbp 的长读数数据相结合,可以得到高质量的循环组装结果。此外,使用 CycloneSEQ 长读数还能有效改善混合微生物群落循环全基因组的组装。CycloneSEQ 的读数长度对于循环细菌基因组来说是足够的,但其碱基质量有待提高。整合 DNBSEQ 短读数提高了准确性,从而实现了完整而准确的组装。这种高效的方法可广泛应用于微生物测序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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