Accurate genome relative abundance estimation for closely related species in a metagenomic sample

BMC Bioinformatics

Michael B Sohn¹  Lingling An²  Naruekamol Pookhao²  Qike Li¹ 

[1] Interdisciplinary Program in Statistics, University of Arizona, Tucson AZ 85721, USA

[2] Department of Agricultural and Biosystems Engineering, University of Arizona, Tucson AZ 85721, USA

关键词: Closely related species;    Genomic similarity;    Alignment similarity;    Metagenomics;   

Others  :  1087550
DOI  :  10.1186/1471-2105-15-242

 received in 2014-01-17, accepted in 2014-07-07,  发布年份 2014

【 摘 要 】

Background

Metagenomics has a great potential to discover previously unattainable information about microbial communities. An important prerequisite for such discoveries is to accurately estimate the composition of microbial communities. Most of prevalent homology-based approaches utilize solely the results of an alignment tool such as BLAST, limiting their estimation accuracy to high ranks of the taxonomy tree.

Results

We developed a new homology-based approach called Taxonomic Analysis by Elimination and Correction (TAEC), which utilizes the similarity in the genomic sequence in addition to the result of an alignment tool. The proposed method is comprehensively tested on various simulated benchmark datasets of diverse complexity of microbial structure. Compared with other available methods designed for estimating taxonomic composition at a relatively low taxonomic rank, TAEC demonstrates greater accuracy in quantification of genomes in a given microbial sample. We also applied TAEC on two real metagenomic datasets, oral cavity dataset and Crohn’s disease dataset. Our results, while agreeing with previous findings at higher ranks of the taxonomy tree, provide accurate estimation of taxonomic compositions at the species/strain level, narrowing down which species/strains need more attention in the study of oral cavity and the Crohn’s disease.

Conclusions

By taking account of the similarity in the genomic sequence TAEC outperforms other available tools in estimating taxonomic composition at a very low rank, especially when closely related species/strains exist in a metagenomic sample.

【 授权许可】

   
2014 Sohn et al.; licensee BioMed Central Ltd.

【 图 表 】

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