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Extremophiles

, Volume 20, Issue 4, pp 525–536 | Cite as

Analysis of the metatranscriptome of microbial communities of an alkaline hot sulfur spring revealed different gene encoding pathway enzymes associated with energy metabolism

  • Swetaleena Tripathy
  • Soumesh Kumar Padhi
  • Sriprakash Mohanty
  • Mrinal Samanta
  • Nikhil Kumar MaitiEmail author
Original Paper

Abstract

Alkaline sulfur hot springs notable for their specialized and complex ecosystem powered by geothermal energy are abundantly rich in different chemotrophic and phototrophic thermophilic microorganisms. Survival and adaptation of these organisms in the extreme environment is specifically related to energy metabolism. To gain a better understanding of survival mechanism of the organisms in these ecosystems, we determined the different gene encoding enzymes associated with anaerobic pathways of energy metabolism by applying the metatranscriptomics approach. The analysis of the microbial population of hot sulfur spring revealed the presence of both aerobic and anaerobic organisms indicating dual mode of lifestyle of the community members. Proteobacteria (28.1 %) was the most dominant community. A total of 988 reads were associated with energy metabolism, out of which 33.7 % of the reads were assigned to nitrogen, sulfur, and methane metabolism based on KEGG classification. The major lineages of hot spring communities were linked with the anaerobic pathways. Different gene encoding enzymes (hao, nir, nar, cysH, cysI, acs) showed the involvement of microbial members in nitrification, denitrification, dissimilatory sulfate reduction, and methane generation. This study enhances our understanding of important gene encoding enzymes involved in energy metabolism, required for the survival and adaptation of microbial communities in the hot spring.

Keywords

Hot spring Microbial communities Functional pathways Energy metabolism 

Abbreviations

mRNA

Messenger ribonucleic acid

cDNA

Complementary DNA

NGS

Next-generation sequencing

MG-RAST

Metagenomics-Rapid Annotation using Subsystem Technology

MEGAN

MEtaGenome ANalyzer

Notes

Acknowledgments

This work was supported by a Grant from National Agriculture Innovation Project, Indian Council of Agricultural Research (NAIP/Comp-4/C30033/2008-09;04.05.2009).

Conflict of interest

The authors declare no conflict of interest.

Supplementary material

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Supplementary material 1 (DOCX 15 kb)
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Supplementary material 2 (DOCX 15 kb)
792_2016_846_MOESM3_ESM.docx (17 kb)
Supplementary material 3 (DOCX 16 kb)

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Copyright information

© Springer Japan 2016

Authors and Affiliations

  • Swetaleena Tripathy
    • 1
  • Soumesh Kumar Padhi
    • 1
  • Sriprakash Mohanty
    • 1
  • Mrinal Samanta
    • 1
  • Nikhil Kumar Maiti
    • 1
    Email author
  1. 1.Environmental Microbiology Unit, Division of Fish Health ManagementCentral Institute of Freshwater AquacultureBhubaneswarIndia

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