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Phylogenetic microbiota profiling in fecal samples depends on combination of sequencing depth and choice of NGS analysis method


Autoři: Sukithar K. Rajan aff001;  Mårten Lindqvist aff001;  Robert Jan Brummer aff001;  Ida Schoultz aff001;  Dirk Repsilber aff001
Působiště autorů: School of Medical Sciences, Örebro University, Örebro, Sweden aff001
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pone.0222171

Souhrn

The human gut microbiota is well established as an important factor in health and disease. Fecal sample microbiota are often analyzed as a proxy for gut microbiota, and characterized with respect to their composition profiles. Modern approaches employ whole genome shotgun next-generation sequencing as the basis for these analyses. Sequencing depth as well as choice of next-generation sequencing data analysis method constitute two main interacting methodological factors for such an approach. In this study, we used 200 million sequence read pairs from one fecal sample for comparing different taxonomy classification methods, using default and custom-made reference databases, at different sequencing depths. A mock community data set with known composition was used for validating the classification methods. Results suggest that sequencing beyond 60 million read pairs does not seem to improve classification. The phylogeny prediction pattern, when using the default databases and the consensus database, appeared to be similar for all three methods. Moreover, these methods predicted rather different species. We conclude that the choice of sequencing depth and classification method has important implications for taxonomy composition prediction. A multi-method-consensus approach for robust gut microbiota NGS analysis is recommended.

Klíčová slova:

Biology and life sciences – Genetics – Genomics – Genome analysis – Computational biology – Research and analysis methods – Molecular biology – Database and informatics methods – Bioinformatics – Sequence analysis – Molecular biology techniques – Computer and information sciences – Taxonomy – Data management – Cloning – Microbiology – Medical microbiology – Ecology and environmental sciences – Ecology – Ecological metrics – Species diversity – Microbiome – Microbial genomics – Sequence databases – Biological databases – Sequencing techniques – Genomic databases – DNA cloning – Shotgun sequencing – Microbial taxonomy


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