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BMC Microbiology

, 13:208

Ecological and evolutionary microbiology

Abstract

BackgroundDeep sequencing of the variable region of 16S rRNA genes has become the predominant tool for studying microbial ecology. As sequencing datasets have accumulated, meta-analysis of sequences obtained with different variable 16S rRNA gene targets and by different sequencing methods has become an intriguing prospect that remains to be evaluated experimentally.

ResultsWe amplified a group of fecal samples using both V4F-V6R and V6F-V6R primer sets, excised the same V6 fragment from the two sets of Illumina sequencing data, and compared the resulting data in terms of the α-diversity, β-diversity, and community structure. Principal component analysis PCA comparing the microbial community structures of different datasets, including those with simulated sequencing errors, was very reliable. Procrustes analysis showed a high degree of concordance between the different datasets for both abundance-weighted and binary Jaccard distances P < 0.05, and a meta-analysis of individual datasets resulted in similar conclusions. The Shannon’s diversity index was consistent as well, with comparable values obtained for the different datasets and for the meta-analysis of different datasets. In contrast, richness estimators OTU and Chao varied significantly, and the meta-analysis of richness estimators was also biased. The community structures of the two datasets were obviously different and led to significant changes in the biomarkers identified by the LEfSe statistical tool.

ConclusionsOur results suggest that beta-diversity analysis and Shannon’s diversity are relatively reliable for meta-analysis, while community structures and biomarkers are less consistent. These results should be useful for future meta-analyses of microbiomes from different data sources.

KeywordsMicrobial diversity V46 hypervariable region V6 hypervariable region Illumina 16S rRNA gene Meta-analysis Electronic supplementary materialThe online version of this article doi:10.1186-1471-2180-13-208 contains supplementary material, which is available to authorized users.

Yan He, Ben-Jie Zhou contributed equally to this work.

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Author: Yan He - Ben-Jie Zhou - Guan-Hua Deng - Xiao-Tao Jiang - Hai Zhang - Hong-Wei Zhou

Source: https://link.springer.com/







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