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使用 MetaCortex 捕获宏基因组组装图中的变异。

Capturing variation in metagenomic assembly graphs with MetaCortex.

机构信息

Earlham Institute, Norwich NR4 7UZ, UK.

Robert Koch Institute, 13353 Berlin, Germany.

出版信息

Bioinformatics. 2023 Jan 1;39(1). doi: 10.1093/bioinformatics/btad020.

DOI:10.1093/bioinformatics/btad020
PMID:36722204
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9889960/
Abstract

MOTIVATION

The assembly of contiguous sequence from metagenomic samples presents a particular challenge, due to the presence of multiple species, often closely related, at varying levels of abundance. Capturing diversity within species, for example, viral haplotypes, or bacterial strain-level diversity, is even more challenging.

RESULTS

We present MetaCortex, a metagenome assembler that captures intra-species diversity by searching for signatures of local variation along assembled sequences in the underlying assembly graph and outputting these sequences in sequence graph format. We show that MetaCortex produces accurate assemblies with higher genome coverage and contiguity than other popular metagenomic assemblers on mock viral communities with high levels of strain-level diversity and on simulated communities containing simulated strains.

AVAILABILITY AND IMPLEMENTATION

Source code is freely available to download from https://github.com/SR-Martin/metacortex, is implemented in C and supported on MacOS and Linux. The version used for the results presented in this article is available at doi.org/10.5281/zenodo.7273627.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

动机

由于存在多种生物,且它们的丰度不同,亲缘关系密切,因此从宏基因组样本中组装连续序列是一项特别具有挑战性的任务。例如,捕获物种内的多样性(如病毒单倍型或细菌菌株水平的多样性)更具挑战性。

结果

我们提出了 MetaCortex,这是一种宏基因组组装器,它通过在基础组装图中搜索组装序列上的局部变异特征,并以序列图格式输出这些序列,从而捕获物种内的多样性。我们表明,MetaCortex 生成的组装体比其他流行的宏基因组组装器具有更高的基因组覆盖率和连续性,特别是在具有高菌株水平多样性的模拟病毒群落和包含模拟菌株的模拟群落上。

可用性和实现

可从 https://github.com/SR-Martin/metacortex 下载源代码,它是用 C 语言编写的,支持 MacOS 和 Linux。本文介绍的版本可在 doi.org/10.5281/zenodo.7273627 获得。

补充信息

补充数据可在 Bioinformatics 在线获取。

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本文引用的文献

1
KOMB: K-core based de novo characterization of copy number variation in microbiomes.KOMB:基于K核的微生物群落中拷贝数变异的从头表征。
Comput Struct Biotechnol J. 2022 Jun 17;20:3208-3222. doi: 10.1016/j.csbj.2022.06.019. eCollection 2022.
2
Human reference gut microbiome catalog including newly assembled genomes from under-represented Asian metagenomes.人类参考肠道微生物组目录,包括来自代表性不足的亚洲宏基因组的新组装基因组。
Genome Med. 2021 Aug 27;13(1):134. doi: 10.1186/s13073-021-00950-7.
3
STRONG: metagenomics strain resolution on assembly graphs.
Nat Commun. 2024 May 31;15(1):4631. doi: 10.1038/s41467-024-49060-z.
4
KombOver: Efficient k-core and K-truss based characterization of perturbations within the human gut microbiome.KombOver:基于 k-核和 K-桁架的人类肠道微生物组内扰动特征分析。
Pac Symp Biocomput. 2024;29:506-520.
基于组装图的宏基因组菌株分辨率
Genome Biol. 2021 Jul 26;22(1):214. doi: 10.1186/s13059-021-02419-7.
4
Exploring neighborhoods in large metagenome assembly graphs using spacegraphcats reveals hidden sequence diversity.利用空间图分类器(spacegraphcats)探索大型宏基因组组装图中的群落,揭示隐藏的序列多样性。
Genome Biol. 2020 Jul 6;21(1):164. doi: 10.1186/s13059-020-02066-4.
5
Do you cov me? Effect of coverage reduction on metagenome shotgun sequencing studies.你覆盖我吗?覆盖度降低对宏基因组鸟枪法测序研究的影响。 (注:原句中“cov me”表述有误,推测可能是“cover me”,按照此修正后翻译)
F1000Res. 2018 Nov 8;7:1767. doi: 10.12688/f1000research.16804.4. eCollection 2018.
6
Rapid MinION profiling of preterm microbiota and antimicrobial-resistant pathogens.使用 MinION 快速测序分析早产儿的微生物群和抗菌药物耐药性病原体。
Nat Microbiol. 2020 Mar;5(3):430-442. doi: 10.1038/s41564-019-0626-z. Epub 2019 Dec 16.
7
A Sequence Distance Graph framework for genome assembly and analysis.用于基因组组装和分析的序列距离图框架。
F1000Res. 2019 Aug 23;8:1490. doi: 10.12688/f1000research.20233.1. eCollection 2019.
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PeerJ. 2019 Jul 26;7:e7359. doi: 10.7717/peerj.7359. eCollection 2019.
9
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CAMISIM: simulating metagenomes and microbial communities.CAMISIM:模拟宏基因组和微生物群落。
Microbiome. 2019 Feb 8;7(1):17. doi: 10.1186/s40168-019-0633-6.