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

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

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.

Original languageEnglish (US)
Article numbere01192-18
JournalMicrobiology Resource Announcements
Volume7
Issue number17
DOIs
StatePublished - Nov 1 2018

Bibliographical note

Funding Information:
We acknowledge Prem Kumar Khosla, vice chancellor, and the members of the yeast biology laboratory (YBL), Shoolini University, for supporting this project. Funding for this work was provided by Shoolini University to K.D. to promote research under the Center for Omics and Biodiversity Research.

Publisher Copyright:
© 2018 Bisht et al.

Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.

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