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Title: Metagenomic applications in environmental monitoring and bioremediation

Abstract

With the rapid advances in sequencing technology, the cost of sequencing has dramatically dropped and the scale of sequencing projects has increased accordingly. This has provided the opportunity for the routine use of sequencing techniques in the monitoring of environmental microbes. While metagenomic applications have been routinely applied to better understand the ecology and diversity of microbes, their use in environmental monitoring and bioremediation is increasingly common. In this review we seek to provide an overview of some of the metagenomic techniques used in environmental systems biology, addressing their application and limitation. We will also provide several recent examples of the application of metagenomics to bioremediation. We discuss examples where microbial communities have been used to predict the presence and extent of contamination, examples of how metagenomics can be used to characterize the process of natural attenuation by unculturable microbes, as well as examples detailing the use of metagenomics to understand the impact of biostimulation on microbial communities.

Authors:
 [1];  [2]
  1. Michigan Technological Univ., Houghton, MI (United States)
  2. Univ. of Tennessee, Knoxville, TN (United States). Dept. of Civil and Environmental Engineering
Publication Date:
Research Org.:
Univ. of Tennessee, Knoxville, TN (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1329773
Alternate Identifier(s):
OSTI ID: 1480739
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Industrial Microbiology and Biotechnology
Additional Journal Information:
Journal Volume: 43; Journal Issue: 10; Journal ID: ISSN 1367-5435
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 60 APPLIED LIFE SCIENCES; Bioremediation; Metagenomics; Microbial community structure; Environmental systems biology

Citation Formats

Techtmann, Stephen M., and Hazen, Terry C. Metagenomic applications in environmental monitoring and bioremediation. United States: N. p., 2016. Web. doi:10.1007/s10295-016-1809-8.
Techtmann, Stephen M., & Hazen, Terry C. Metagenomic applications in environmental monitoring and bioremediation. United States. https://doi.org/10.1007/s10295-016-1809-8
Techtmann, Stephen M., and Hazen, Terry C. Wed . "Metagenomic applications in environmental monitoring and bioremediation". United States. https://doi.org/10.1007/s10295-016-1809-8. https://www.osti.gov/servlets/purl/1329773.
@article{osti_1329773,
title = {Metagenomic applications in environmental monitoring and bioremediation},
author = {Techtmann, Stephen M. and Hazen, Terry C.},
abstractNote = {With the rapid advances in sequencing technology, the cost of sequencing has dramatically dropped and the scale of sequencing projects has increased accordingly. This has provided the opportunity for the routine use of sequencing techniques in the monitoring of environmental microbes. While metagenomic applications have been routinely applied to better understand the ecology and diversity of microbes, their use in environmental monitoring and bioremediation is increasingly common. In this review we seek to provide an overview of some of the metagenomic techniques used in environmental systems biology, addressing their application and limitation. We will also provide several recent examples of the application of metagenomics to bioremediation. We discuss examples where microbial communities have been used to predict the presence and extent of contamination, examples of how metagenomics can be used to characterize the process of natural attenuation by unculturable microbes, as well as examples detailing the use of metagenomics to understand the impact of biostimulation on microbial communities.},
doi = {10.1007/s10295-016-1809-8},
journal = {Journal of Industrial Microbiology and Biotechnology},
number = 10,
volume = 43,
place = {United States},
year = {Wed Aug 24 00:00:00 EDT 2016},
month = {Wed Aug 24 00:00:00 EDT 2016}
}

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Cited by: 52 works
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