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Data on taxonomic annotation and diversity of 18S rRNA gene amplicon libraries derived from high throughput sequencing.

ABSTRACT: This Data in Brief article is a supporting information for the research article entitled "Protistan community composition in anoxic sediments from three salinity-disparate Japanese lakes" by Kataoka and Kondo (2019) [1]. Summary of 18S rRNA gene sequences originated from anoxic sediment of three lakes in two seasons using high throughput sequencing techniques (MiSeq, Illumina) was shown in this data article. Supergroup-level taxonomy was compared between the SILVA search for SILVA database and BLASTn search for the PR2 database. Alpha diversity was calculated in each sample, and beta-diversity was calculated among the six amplicon libraries. Partial sequence length between the primer set of 574*f and 1132R Hugerth et al., 2015 was compared between the forward read and the combined read.

SUBMITTER: Kataoka T

PROVIDER: S-EPMC6699457 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Data on taxonomic annotation and diversity of 18S rRNA gene amplicon libraries derived from high throughput sequencing.

Kataoka Takafumi T Kondo Ryuji R

Data in brief 20190702

This Data in Brief article is a supporting information for the research article entitled "Protistan community composition in anoxic sediments from three salinity-disparate Japanese lakes" by Kataoka and Kondo (2019) [1]. Summary of 18S rRNA gene sequences originated from anoxic sediment of three lakes in two seasons using high throughput sequencing techniques (MiSeq, Illumina) was shown in this data article. Supergroup-level taxonomy was compared between the SILVA search for SILVA database and B ...[more]

PMID: 31440544

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Project description:Metagenomic sequencing of bacterial samples has become the gold standard for profiling microbial populations, but 16S rRNA profiling remains widely used due to advantages in sample throughput, cost, and sensitivity even though the approach is hampered by primer bias and lack of specificity. We hypothesized that a hybrid approach, that combined targeted PCR amplification with high-throughput sequencing of multiple regions of the genome, would capture many of the advantages of both approaches. We developed a method that identifies and quantifies members of bacterial communities through simultaneous analysis of multiple variable regions of the bacterial 16S rRNA gene. The method combines high-throughput microfluidics for PCR amplification, short read DNA sequencing, and a custom algorithm named MVRSION (Multiple 16S Variable Region Species-Level IdentificatiON) for optimizing taxonomic assignment. MVRSION performance was compared to single variable region analyses (V3 or V4) of five synthetic mixtures of human gut bacterial strains using existing software (QIIME), and the results of community profiling by shotgun sequencing (COPRO-Seq) of fecal DNA samples collected from gnotobiotic mice colonized with a defined, phylogenetically diverse consortium of human gut bacterial strains. Positive predictive values for MVRSION ranged from 65%-91% versus 44%-61% for single region QIIME analyses (p < .01, p < .001), while the abundance estimate r2 for MVRSION compared to COPRO-Seq was 0.77 vs. 0.46 and 0.45 for V3-QIIME and V4-QIIME, respectively. MVRSION represents a generally applicable tool for taxonomic classification that is superior to single-region 16S rRNA methods, resource efficient, highly scalable for assessing the microbial composition of up to thousands of samples concurrently, with multiple applications ranging from whole community profiling to targeted tracking of organisms of interest in diverse habitats as a function of specified variables/perturbations.

Dataset Information

Data on taxonomic annotation and diversity of 18S rRNA gene amplicon libraries derived from high throughput sequencing.

Publications

Data on taxonomic annotation and diversity of 18S rRNA gene amplicon libraries derived from high throughput sequencing.

Similar Datasets

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