Accurate assembly of full-length consensus for viral quasispecies.

IF 2.9 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Jia Tian, Ziyu Gao, Minghao Li, Ergude Bao, Jin Zhao
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引用次数: 0

Abstract

Background: Viruses can inhabit their hosts in the form of an ensemble of various mutant strains. Reconstructing a robust consensus representation for these diverse mutant strains is essential for recognizing the genetic variations among strains and delving into aspects like virulence, pathogenesis, and selecting therapies. Virus genomes are typically small, often composed of only a few thousand to several hundred thousand nucleotides. While constructing a high-quality consensus of virus strains might seem feasible, most current assemblers only generated fragmented contigs. It's important to emphasize the significance of assembling a single full-length consensus contig, as it's vital for identifying genetic diversity and estimating strain abundance accurately.

Results: In this paper, we developed FC-Virus, a de novo genome assembly strategy specifically targeting highly diverse viral populations. FC-Virus first identifies the k-mers that are common across most viral strains, and then uses these k-mers as a backbone to build a full-length consensus sequence covering the entire genome. We benchmark FC-Virus against state-of-the-art genome assemblers.

Conclusion: Experimental results confirm that FC-Virus can construct a single, accurate full-length consensus, whereas other assemblers only manage to produce fragmented contigs. FC-Virus is freely available at https://github.com/qdu-bioinfo/FC-Virus.git .

病毒准种全长共识的精确组装。
背景:病毒可以以各种突变株的集合形式寄居在宿主体内。重建这些不同突变菌株的强大共识表示对于识别菌株之间的遗传变异以及深入研究毒力,发病机制和选择治疗方法等方面至关重要。病毒基因组通常很小,通常只由几千到几十万个核苷酸组成。虽然构建高质量的病毒株共识似乎是可行的,但目前大多数组装器只能生成碎片化的contigs。强调构建单个全长共识序列的重要性,对于准确识别遗传多样性和估计菌株丰度至关重要。结果:在本文中,我们开发了FC-Virus,一种全新的基因组组装策略,专门针对高度多样化的病毒群体。FC-Virus首先识别在大多数病毒株中常见的k-mers,然后使用这些k-mers作为主干构建覆盖整个基因组的全长一致序列。我们将fc病毒与最先进的基因组组装器进行比较。结论:实验结果证实,FC-Virus可以构建一个单一的、准确的全长共识,而其他组装器只能产生碎片化的contigs。FC-Virus可在https://github.com/qdu-bioinfo/FC-Virus.git免费获得。
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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来源期刊
BMC Bioinformatics
BMC Bioinformatics 生物-生化研究方法
CiteScore
5.70
自引率
3.30%
发文量
506
审稿时长
4.3 months
期刊介绍: BMC Bioinformatics is an open access, peer-reviewed journal that considers articles on all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology. BMC Bioinformatics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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