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; David J Baumler; Kamal Dev

doi:10.1128/MRA.01192-18

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

Microbiol Resour Announc. 2018 Nov 1;7(17):e01192-18. doi: 10.1128/MRA.01192-18. eCollection 2018 Nov.

Authors

Garima Bisht¹, Anuradha Sourirajan¹, David J Baumler^{2

3

4}, Kamal Dev^{1

2}

Affiliations

¹ Faculty of Applied Sciences and Biotechnology, Shoolini University, Solan, Himachal Pradesh, India.
² Department of Food Science and Nutrition, University of Minnesota-Twin Cities, St. Paul, Minnesota, USA.
³ Microbial and Plant Genomic Institute, University of Minnesota-Twin Cities, St. Paul, Minnesota, USA.
⁴ Biotechnology Institute, University of Minnesota-Twin Cities, St. Paul, Minnesota, USA.

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.