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Metaxa2 数据库构建器:使用任何遗传标记从宏基因组或代谢组学数据中进行分类鉴定。

Metaxa2 Database Builder: enabling taxonomic identification from metagenomic or metabarcoding data using any genetic marker.

机构信息

Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA.

Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10, SE-41346 Gothenburg, Sweden.

出版信息

Bioinformatics. 2018 Dec 1;34(23):4027-4033. doi: 10.1093/bioinformatics/bty482.

Abstract

MOTIVATION

Correct taxonomic identification of DNA sequences is central to studies of biodiversity using both shotgun metagenomic and metabarcoding approaches. However, no genetic marker gives sufficient performance across all the biological kingdoms, hampering studies of taxonomic diversity in many groups of organisms. This has led to the adoption of a range of genetic markers for DNA metabarcoding. While many taxonomic classification software tools can be re-trained on these genetic markers, they are often designed with assumptions that impair their utility on genes other than the SSU and LSU rRNA. Here, we present an update to Metaxa2 that enables the use of any genetic marker for taxonomic classification of metagenome and amplicon sequence data.

RESULTS

We evaluated the Metaxa2 Database Builder on 11 commonly used barcoding regions and found that while there are wide differences in performance between different genetic markers, our software performs satisfactorily provided that the input taxonomy and sequence data are of high quality.

AVAILABILITY AND IMPLEMENTATION

Freely available on the web as part of the Metaxa2 package at http://microbiology.se/software/metaxa2/.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

动机

正确的 DNA 序列分类鉴定对于使用鸟枪法宏基因组和代谢组学方法进行生物多样性研究至关重要。然而,没有一种遗传标记在所有生物王国都能提供足够的性能,这阻碍了许多生物体类群的分类多样性研究。这导致了一系列遗传标记被用于 DNA 代谢组学。虽然许多分类学分类软件工具可以在这些遗传标记上重新训练,但它们通常是基于对除 SSU 和 LSU rRNA 以外的基因的假设而设计的,这限制了它们的实用性。在这里,我们对 Metaxa2 进行了更新,使其能够将任何遗传标记用于宏基因组和扩增子序列数据的分类鉴定。

结果

我们评估了 Metaxa2 Database Builder 在 11 个常用的条形码区域上的性能,发现虽然不同遗传标记之间的性能差异很大,但只要输入的分类学和序列数据质量高,我们的软件就能很好地运行。

可用性和实现

作为 Metaxa2 软件包的一部分,可在网络上免费获得,网址为 http://microbiology.se/software/metaxa2/。

补充信息

补充数据可在 Bioinformatics 在线获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2252/6247927/32b25bcb5a0c/bty482f1.jpg

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