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Metagenomic analysis of a permafrost microbial community reveals a rapid response to thaw

Author

Listed:
  • Rachel Mackelprang

    (California State University at Northridge
    United States Department of Energy Joint Genome Institute)

  • Mark P. Waldrop

    (United States Geological Survey)

  • Kristen M. DeAngelis

    (Lawrence Berkeley National Laboratory)

  • Maude M. David

    (Lawrence Berkeley National Laboratory)

  • Krystle L. Chavarria

    (Lawrence Berkeley National Laboratory)

  • Steven J. Blazewicz

    (Policy and Management, University of California at Berkeley)

  • Edward M. Rubin

    (United States Department of Energy Joint Genome Institute
    Lawrence Berkeley National Laboratory)

  • Janet K. Jansson

    (United States Department of Energy Joint Genome Institute
    Lawrence Berkeley National Laboratory)

Abstract

Permafrost microbes await the thaw Permafrost soil in the Arctic contains a huge reservoir of carbon. If the climate warms and the permafrost thaws, this carbon would become accessible to microbial degradation, releasing greenhouse gases in the process. The microbes responsible for this process are largely unknown. Metagenomic analysis of DNA isolated from two permafrost soils collected in Alaska reveals a rapid microbial response to thawing, with many functional gene abundances increasing. A draft genome of a novel methanogen was constructed from the sequence data. This study highlights the importance of rapid cycling of methane and nitrogen in thawing permafrost.

Suggested Citation

  • Rachel Mackelprang & Mark P. Waldrop & Kristen M. DeAngelis & Maude M. David & Krystle L. Chavarria & Steven J. Blazewicz & Edward M. Rubin & Janet K. Jansson, 2011. "Metagenomic analysis of a permafrost microbial community reveals a rapid response to thaw," Nature, Nature, vol. 480(7377), pages 368-371, December.
    • Handle: RePEc:nat:nature:v:480:y:2011:i:7377:d:10.1038_nature10576
    DOI: 10.1038/nature10576
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    Citations

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    Cited by:

    1. Daniel H Huson & Sina Beier & Isabell Flade & Anna Górska & Mohamed El-Hadidi & Suparna Mitra & Hans-Joachim Ruscheweyh & Rewati Tappu, 2016. "MEGAN Community Edition - Interactive Exploration and Analysis of Large-Scale Microbiome Sequencing Data," PLOS Computational Biology, Public Library of Science, vol. 12(6), pages 1-12, June.
    2. Yuan Zhang & Yanni Sun & James R Cole, 2014. "A Scalable and Accurate Targeted Gene Assembly Tool (SAT-Assembler) for Next-Generation Sequencing Data," PLOS Computational Biology, Public Library of Science, vol. 10(8), pages 1-16, August.
    3. Sofia Rigou & Sébastien Santini & Chantal Abergel & Jean-Michel Claverie & Matthieu Legendre, 2022. "Past and present giant viruses diversity explored through permafrost metagenomics," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    4. M. E. Marushchak & J. Kerttula & K. Diáková & A. Faguet & J. Gil & G. Grosse & C. Knoblauch & N. Lashchinskiy & P. J. Martikainen & A. Morgenstern & M. Nykamb & J. G. Ronkainen & H. M. P. Siljanen & L, 2021. "Thawing Yedoma permafrost is a neglected nitrous oxide source," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    5. Xiaoqian Li & Jianwei Xing & Shouji Pang & Youhai Zhu & Shuai Zhang & Rui Xiao & Cheng Lu, 2022. "Carbon Isotopic Evidence for Gas Hydrate Release and Its Significance on Seasonal Wetland Methane Emission in the Muli Permafrost of the Qinghai-Tibet Plateau," IJERPH, MDPI, vol. 19(4), pages 1-14, February.
    6. Dazhi Jiao & Yuzhen Ye & Haixu Tang, 2013. "Probabilistic Inference of Biochemical Reactions in Microbial Communities from Metagenomic Sequences," PLOS Computational Biology, Public Library of Science, vol. 9(3), pages 1-11, March.
    7. Anzhou Ma & Jiejie Zhang & Guohua Liu & Xuliang Zhuang & Guoqiang Zhuang, 2022. "Cryosphere Microbiome Biobanks for Mountain Glaciers in China," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    8. Xie, Xian-Hua & Yu, Zu-Guo & Ma, Yuan-Lin & Han, Guo-Sheng & Anh, Vo, 2017. "A novel genome signature based on inter-nucleotide distances profiles for visualization of metagenomic data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 87-94.

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