metaxa2: improved identification and taxonomic classification of small and large subunit rRNA in metagenomic data

被引:343
作者
Bengtsson-Palme, Johan [1 ]
Hartmann, Martin [2 ,3 ]
Eriksson, Karl Martin [4 ]
Pal, Chandan [1 ]
Thorell, Kaisa [5 ,6 ,7 ]
Larsson, Dan Goran Joakim [1 ]
Nilsson, Rolf Henrik [8 ]
机构
[1] Gothenburg Univ, Sahlgrenska Acad, Inst Biomed, Dept Infect Dis, S-41346 Gothenburg, Sweden
[2] Swiss Fed Res Inst WSL, Forest Soils & Biogeochem, CH-8903 Birmensdorf, Switzerland
[3] Agroscope, Inst Sustainabil Sci, Mol Ecol, CH-8046 Zurich, Switzerland
[4] Chalmers Univ Technol, Dept Shipping & Marine Technol, S-41296 Gothenburg, Sweden
[5] Univ Gothenburg, Sahlgrenska Acad, Inst Biomed, Dept Microbiol & Immunol, S-40530 Gothenburg, Sweden
[6] Chalmers Univ Technol, Dept Chem & Biol Engn, S-41296 Gothenburg, Sweden
[7] Karolinska Inst, Dept Microbiol Tumor & Cell Biol, S-17177 Stockholm, Sweden
[8] Univ Gothenburg, Dept Biol & Environm Sci, S-40530 Gothenburg, Sweden
基金
瑞典研究理事会;
关键词
16S; 18S; metagenomics; microbial communities; rRNA libraries; taxonomic assignment; EVOLUTIONARY ANALYSES; SPECIES RICHNESS; GENE DATABASE; SEQUENCES; SEARCH; DNA; PERFORMANCE; GENERATION; GREENGENES; RESOURCE;
D O I
10.1111/1755-0998.12399
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The ribosomal rRNA genes are widely used as genetic markers for taxonomic identification of microbes. Particularly the small subunit (SSU; 16S/18S) rRNA gene is frequently used for species- or genus-level identification, but also the large subunit (LSU; 23S/28S) rRNA gene is employed in taxonomic assignment. The metaxa software tool is a popular utility for extracting partial rRNA sequences from large sequencing data sets and assigning them to an archaeal, bacterial, nuclear eukaryote, mitochondrial or chloroplast origin. This study describes a comprehensive update to metaxa - metaxa2 - that extends the capabilities of the tool, introducing support for the LSU rRNA gene, a greatly improved classifier allowing classification down to genus or species level, as well as enhanced support for short-read (100bp) and paired-end sequences, among other changes. The performance of metaxa2 was compared to other commonly used taxonomic classifiers, showing that metaxa2 often outperforms previous methods in terms of making correct predictions while maintaining a low misclassification rate. metaxa2 is freely available from .
引用
收藏
页码:1403 / 1414
页数:12
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