The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Metagenomics reveals sediment microbial community response to Deepwater Horizon oil spill
Open accessAbstract
The Deepwater Horizon (DWH) oil spill in the spring of 2010 resulted in an input of ∼4.1 million barrels of oil to the Gulf of Mexico; >22% of this oil is unaccounted for, with unknown environmental consequences. Here we investigated the impact of oil deposition on microbial communities in surface sediments collected at 64 sites by targeted sequencing of 16S rRNA genes, shotgun metagenomic sequencing of 14 of these samples and mineralization experiments using 14C-labeled model substrates. The 16S rRNA gene data indicated that the most heavily oil-impacted sediments were enriched in an uncultured Gammaproteobacterium and a Colwellia species, both of which were highly similar to sequences in the DWH deep-sea hydrocarbon plume. The primary drivers in structuring the microbial community were nitrogen and hydrocarbons. Annotation of unassembled metagenomic data revealed the most abundant hydrocarbon degradation pathway encoded genes involved in degrading aliphatic and simple aromatics via butane monooxygenase. The activity of key hydrocarbon degradation pathways by sediment microbes was confirmed by determining the mineralization of 14C-labeled model substrates in the following order: propylene glycol, dodecane, toluene and phenanthrene. Further, analysis of metagenomic sequence data revealed an increase in abundance of genes involved in denitrification pathways in samples that exceeded the Environmental Protection Agency (EPA)’s benchmarks for polycyclic aromatic hydrocarbons (PAHs) compared with those that did not. Importantly, these data demonstrate that the indigenous sediment microbiota contributed an important ecosystem service for remediation of oil in the Gulf. However, PAHs were more recalcitrant to degradation, and their persistence could have deleterious impacts on the sediment ecosystem.
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QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Self-citationKEGG: Kyoto Encyclopedia of Genes and Genomes
Ogata, H., Goto, S., Sato, K., Fujibuchi, W., Bono, H., & Kanehisa, M. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.29 · Cited by 31,232
Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 20,826
Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Wang, Q., Garrity, G. M., Tiedje, J. M., & Cole, J. R. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00062-07 · Cited by 19,885
Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Lozupone, C. A., Turnbaugh, P. J., Fierer, N., & Knight, R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000080107 · Cited by 9,711
Self-citationUltra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Huntley, J., Fierer, N., Owens, S. M., Betley, J., Fraser, L., Bauer, M., et al. (2012) · The ISME Journal · doi:10.1038/ismej.2012.8 · Cited by 8,839
Self-citationMcDonald, D., Price, M. N., Goodrich, J., Nawrocki, E. P., DeSantis, T. Z., Probst, A., Andersen, G. L., Knight, R., & Hugenholtz, P. (2012) · The ISME Journal · doi:10.1038/ismej.2011.139 · Cited by 5,064
Self-citationMeyer, F., Paarmann, D., D'Souza, M., Olson, R., Glass, E., Kubal, M., Paczian, T., Rodriguez, A., Stevens, R., Wilke, A., et al. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-386 · Cited by 3,565
PyNAST: a flexible tool for aligning sequences to a template alignment
Caporaso, J. G., Bittinger, K., Bushman, F. D., DeSantis, T. Z., Andersen, G. L., & Knight, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp636 · Cited by 3,396
Self-citationGralton, B. (2008) · Art monthly Australia · Cited by 3,001
Cited by
Tu, Q., Lin, L., Cheng, L., Deng, Y., & He, Z. (2019) · Bioinformatics · doi:10.1093/bioinformatics/bty741 · Cited by 470
Biotechnologies for Marine Oil Spill Cleanup: Indissoluble Ties with Microorganisms
Mapelli, F., Scoma, A., Michoud, G., Aulenta, F., Boon, N., Borin, S., Kalogerakis, N., & Daffonchio, D. (2017) · Trends in Biotechnology · doi:10.1016/j.tibtech.2017.04.003 · Cited by 214
Metadata
- Authors
- Mason, O. U., Scott, N. M., Gonzalez, A., Robbins-Pianka, A., Bælum, J., Kimbrel, J., Bouskill, N. J., Prestat, E., Borglin, S., Joyner, D. C., Fortney, J. L., Jurelevicius, D., Stringfellow, W. T., Alvarez-Cohen, L., Hazen, T. C., Knight, R., Gilbert, J. A., & Jansson, J. K.
- Venue
- The ISME Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-01-23
- Volume
- 8
- Issue
- 7
- Pages
- 1464-1475
- ISSN
- 1751-7362 (ISSN-L)
- 1751-7370
- OpenAlex
- W2142040626
- Cited by
- 384
- References
- 33
- FWCI
- 27.35
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Mason, O. U., Scott, N. M., Gonzalez, A., Robbins-Pianka, A., Bælum, J., Kimbrel, J., Bouskill, N. J., Prestat, E., Borglin, S., Joyner, D. C., Fortney, J. L., Jurelevicius, D., Stringfellow, W. T., Alvarez-Cohen, L., Hazen, T. C., Knight, R., Gilbert, J. A., & Jansson, J. K. (2014). Metagenomics reveals sediment microbial community response to Deepwater Horizon oil spill. The ISME Journal. https://doi.org/10.1038/ismej.2013.254
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