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The effects of sequencing platforms on phylogenetic resolution in 16 S rRNA gene profiling of human feces
- Source :
- Scientific Data
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- High-quality and high-throughput sequencing technologies are required for therapeutic and diagnostic analyses of human gut microbiota. Here, we evaluated the advantages and disadvantages of the various commercial sequencing platforms for studying human gut microbiota. We generated fecal bacterial sequences from 170 Korean subjects using the GS FLX+ (V1–4), Illumina MiSeq (V1–3, V3–4 and V4), and PacBio (V1–9) systems. Comparative analyses revealed that the PacBio data showed the weakest relationship with the reference whole-metagenome shotgun datasets. The PacBio system generated sequences with a significantly higher level of deletions than datasets generated by other platforms, with an abnormally high proportion of sequences assigned to the phylum Proteobacteria. Low sequencing accuracy and low coverage of terminal regions in public 16 S rRNA databases deteriorate the advantages of long read length, resulting in low taxonomic resolution in amplicon sequencing of human gut microbiota. Machine-accessible metadata file describing the reported data (ISA-Tab format)
- Subjects :
- Male
0301 basic medicine
Statistics and Probability
Data Descriptor
Classification and taxonomy
Sequence analysis
030106 microbiology
Shotgun
Computational biology
Biology
Library and Information Sciences
Education
Feces
03 medical and health sciences
Phylogenetics
RNA, Ribosomal, 16S
Sequencing
Humans
Gene
Phylogeny
Aged
Aged, 80 and over
Human feces
Phylogenetic tree
Sequence Analysis, RNA
Ribosomal RNA
Computer Science Applications
RNA, Bacterial
030104 developmental biology
Metagenomics
Metagenome
Female
Statistics, Probability and Uncertainty
Databases, Nucleic Acid
Information Systems
Subjects
Details
- Language :
- English
- ISSN :
- 20524463
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Scientific Data
- Accession number :
- edsair.doi.dedup.....b80c809aad1cc1fd38bdec9c9569b6a6
- Full Text :
- https://doi.org/10.1038/sdata.2018.68