16S rRNA Gene Amplicon Data Set-Based Bacterial Diversity in a Water-Soil Sample from Pangong Tso Lake, a High-Altitude Grassland Lake of the Northwest Himalayas.

Garima Bisht,Anuradha Sourirajan,Kamal Dev,David J Baumler,Frank J Stewart

doi:10.1128/mra.01192-18

Garima Bisht, Anuradha Sourirajan + Show 3 more

Open Access

https://doi.org/10.1128/mra.01192-18

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Abstract

We report here 16S rRNA-based bacterial diversity existing during freezing conditions in a high-altitude Himalayan lake through sequencing a 16S rRNA gene amplicon data set. A total of 121,857 high-quality reads were obtained; 40.78% of the bacterial population was classified to the genus level, while 1.26% was classified to the species level.

Highlights

We report here 16S rRNA-based bacterial diversity existing during freezing conditions in a high-altitude Himalayan lake through sequencing a 16S rRNA gene amplicon data set
The HQ reads were subjected to operational taxonomic unit (OUT) identification at 97% sequence similarity and taxonomic assignment of OTUs using the Greengenes database (16S/Archaea database) and the Quantitative Insights into Microbial Ecology (QIIME) module
Krona-based [9] diagram visualization showed that 99.22% of the microbially diverse population represents Bacteroidetes (35.97%), Firmicutes (31.27%), Proteobacteria (22.56%), Tenericutes (8.38%), and Planctomycetes (1.04%) at the phylum level (Fig. 1)

Summary

Introduction

We report here 16S rRNA-based bacterial diversity existing during freezing conditions in a high-altitude Himalayan lake through sequencing a 16S rRNA gene amplicon data set. (i.e., those with a more than 10% quality threshold [QV] of Ͻ20 Phred quality score). A total of 121,857 high-quality reads were obtained.

Results

Conclusion