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Reply to Delmont and Eren: Strain variants and population structure during the Deepwater Horizon oil spill

Journal Article · · Proceedings of the National Academy of Sciences of the United States of America
 [1];  [2];  [3];  [2];  [4];  [5];  [2]
  1. Univ. of Duisburg-Essen (Germany); Univ. of California, Berkeley, CA (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  3. Stanford Univ., CA (United States)
  4. Univ. of California, Berkeley, CA (United States); USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States)
  5. Univ. of California, Berkeley, CA (United States)
A laboratory simulation revealed the succession patterns of oil degradation and microbial community changes during the Deepwater Horizon oil spill, one of the largest environmental catastrophes in human history. Hu et al. successfully recovered genomes of several oil-degrading bacteria, including one of “Candidatus Bermanella macondoprimitus,” with high identity to the dominant Oceanospirillales 16S rRNA gene sequences recovered from the deep-ocean hydrocarbon plumes. Delmont and Eren (3) reanalyzed metagenomic data generated from these plumes to argue that this Bermanella was not present.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1482524
Journal Information:
Proceedings of the National Academy of Sciences of the United States of America, Journal Name: Proceedings of the National Academy of Sciences of the United States of America Journal Issue: 43 Vol. 114; ISSN 0027-8424
Publisher:
National Academy of Sciences, Washington, DC (United States)Copyright Statement
Country of Publication:
United States
Language:
English

References (10)

Pulsed blooms and persistent oil-degrading bacterial populations in the water column during and after the Deepwater Horizon blowout journal July 2016
Metagenome, metatranscriptome and single-cell sequencing reveal microbial response to Deepwater Horizon oil spill journal June 2012
Natural gas and temperature structured a microbial community response to the Deepwater Horizon oil spill journal October 2011
Simulation of Deepwater Horizon oil plume reveals substrate specialization within a complex community of hydrocarbon degraders journal June 2017
Simulations predict microbial responses in the environment? This environment disagrees retrospectively journal October 2017
Identification of ancient remains through genomic sequencing journal August 2008
Genomic resolution of a cold subsurface aquifer community provides metabolic insights for novel microbes adapted to high CO 2 concentrations : Genomic resolution of a high-CO journal July 2016
Deep-Sea Oil Plume Enriches Indigenous Oil-Degrading Bacteria journal August 2010
Assessment of Metagenomic Assembly Using Simulated Next Generation Sequencing Data journal February 2012
Anvi’o: an advanced analysis and visualization platform for ‘omics data journal January 2015

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