Skip to main content
Log in

Pyrosequence Analysis of Unamplified and Whole Genome Amplified DNA from Hydrocarbon-Contaminated Groundwater

  • Research
  • Published:
Molecular Biotechnology Aims and scope Submit manuscript

Abstract

Pyrosequence data was used to analyze the composition and metabolic potential of a metagenome from a hydrocarbon-contaminated site. Unamplified and whole genome amplified (WGA) sequence data was compared from this source. According to MG-RAST, an additional 2,742,252 bp of DNA was obtained with the WGA, indicating that WGA has the ability to generate a large amount of DNA from a small amount of starting sample. However, it was observed that WGA introduced a bias with respect to the distribution of the amplified DNA and the types of microbial populations that were accessed from the metagenome. The dominant order in the WGA metagenome was Flavobacteriales, whereas the unamplified metagenome was dominated by Actinomycetales as determined by RDPII and CARMA databases. According to the SEED database, the subsystems shown to be present for the individual metagenomes were associated with the metabolic potential that was expected to be present in the contaminated groundwater, such as the metabolism of aromatic compounds. A higher percentage (4.4) of genes associated with the metabolism of aromatic compounds was identified in the unamplified metagenome when compared to the WGA metagenome (0.66%). This could be attributed to the increased number of hydrocarbon degrading bacteria that had been accessed from this metagenome (Mycobacteria, Nocardia, Brevibacteria, Clavibacter, Rubrobacter, and Rhodoccocus). Therefore, it was possible to relate the taxonomic groups accessed to the contamination profile of the metagenome. By collating the sequencing data obtained pre- and post-amplification, this study provided insight regarding the survival strategies of microbial communities inhabiting contaminated environments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Abbreviations

CARMA:

CARMA is a software pipeline for the characterization of species composition and the genetic potential of microbial samples using short reads. In contrast to the traditional 16S-rRNA approach for taxonomical classification, CARMA uses reads that encode for known proteins. By assigning the taxonomic origins to each read, a profile is constructed which characterizes the taxonomic composition of the corresponding community

EGT (Expressed Gene Tag):

A unique stretch of DNA within a coding region of a gene that is useful for identifying full-length genes and serves as a landmark for mapping. An EGT is a sequence tagged site (STS) derived from cDNA

Metagenomics:

The genomic analysis of microorganisms by direct extraction and/or cloning of DNA from an assemblage of microorganisms (also refereed to as environmental and community genomics)

MGRAST:

MetaGenome Rapid Annotation Subsystems Technology MGRAST: is a fully automated service for annotating metagenome samples that provides annotation of sequence fragments, their phylogenetic classification, metabolic reconstructions and comparison tools

Pyrosequencing:

A method of DNA sequencing (determining the order of nucleotides in DNA) based on the “sequencing by synthesis” principle. It differs from Sanger sequencing, in that it relies on the detection of pyrophosphate release on nucleotide incorporation, rather than chain termination with dideoxynucleotides

RDPII:

The Ribosomal Database Project (RDP) provides ribosome related data and services to the scientific community, including online data analysis and aligned and annotated Bacterial and Archaeal small-subunit 16S rRNA sequences

Whole genome amplification:

An increasingly common technique through which minute amounts of DNA can be multiplied to generate quantities suitable for genetic testing and analysis

References

  1. Rodríguez-Martínez, E. M., Pérez, E. X., Schadt, C. W., Zhou, J., & Massol-Deyá, A. A. (2006). Microbial diversity and bioremediation of a hydrocarbon-contaminated aquifer (Vega Baja, Puerto Rico). International Journal of Environmental Research and Public Health, 3, 292–300.

    Article  Google Scholar 

  2. Rees, H. C., Oswald, S. E., Banwart, S. A., Pickup, R. W., & Lerner, D. N. (2007). Biodegradation processes in a laboratory-scale groundwater contaminant plume assessed by flourescence imaging and microbial analysis. Applied and Environmental Microbiology, 73, 3865–3876.

    Article  CAS  Google Scholar 

  3. Lovely, D. R. (2003). Cleaning up with genomics: Applying molecular biology to bioremediation. Nature Reviews, 1, 35–44.

    Article  Google Scholar 

  4. Grostern, A., & Edwards, E. A. (2006). Growth of Dehalobacter and Dehalococcoides spp. during degradation of chlorinated ethanes. Applied and Environmental Microbiology, 72, 428–432.

    Article  CAS  Google Scholar 

  5. Simon, C., Wiezer, A., Strittmatter, A. W., & Daniel, R. (2009). Phylogenetic diversity and metabolic potential revealed in a glacier ice metagenome. Applied and Environmental Microbiology, 75, 7519–7526.

    Article  CAS  Google Scholar 

  6. Clarke, J., Wu, H. C., Jayasinghe, L., Patel, A., Reid, S., & Bayley, H. (2009). Continuous base identification for single-molecule nanopore DNA sequencing. Nature Nanotechnology, 4, 265–270.

    Article  CAS  Google Scholar 

  7. Zheng, Z., Melefors, O., Glavas, S., Nordström, H., Ye, W., Engstrand, L., et al. (2010). Titration-free massively parallel pyrosequencing using trace amounts of starting material. Nucleic Acids Research, 38, e137. doi:10.1093.

    Article  Google Scholar 

  8. Pinard, E., de Winter, A., Sarkis, G. J., Gerstein, M. B., Tartaro, K. R., Plant, R. N., et al. (2006). Assessment of whole genome amplification-induced bias through high-throughput, massively parallel whole genome sequencing. BMC Genomics, 7, 216. doi:10.1186/1471-2164-7-216.

    Article  Google Scholar 

  9. Hawkins, T. L., Detter, J. C., & Richardson, P. M. (2002). Whole genome amplification—applications and advances. Current Opinion in Biotechnology, 13, 65–67.

    Article  CAS  Google Scholar 

  10. Marguiles, M., Egholm, M., Altman, W. E., Attiya, S., Bader, J. S., Bemben, L. A., et al. (2005). Genome sequencing in microfabricated high-density picolitre reactors. Nature, 437, 376–380.

    Google Scholar 

  11. Meyer, F., Paarmann, D., D’Souza, M., Olson, R., Glass, E. M., Kubal, M., et al. (2008). The metagenomics RAST server—a public resource for the automatic phylogenetic and functional analysis of metagenomes. BMC Bioinformatics, 9, 386. doi:10.1186/1471-2105-9-386.

    Article  CAS  Google Scholar 

  12. Altschul, S. F., Madden, T. L., Schaffer, A. A., Zhang, J., Zhang, Z., Miller, W., et al. (1997). Gapped BLAST and PSI-BLAST: A new generation of protein database search programs. Nucleic Acids Research, 25, 3389–3402.

    Article  CAS  Google Scholar 

  13. Krause, L., Diaz, N. N., Goesmann, A., Kelley, S., Nattkemper, T. W., Rohwer, F., et al. (2008). Phylogenetic classification of short environmental DNA fragments. Nucleic Acids Research, 36, 2230–2239.

    Article  CAS  Google Scholar 

  14. Ventura, M., Canchaya, C., Tauch, A., Chandra, G., Fitzgerald, G. F., Chater, K. F., et al. (2007). Genomics of Actinobacteria: Tracing the evolutionary history of an ancient phylum. Molecular Microbiology Reviews, 71, 495–548.

    Article  CAS  Google Scholar 

  15. Woyke, T., Xie, G., Copeland, A., González, J. M., Han, C., Kiss, H., Saw, J. H., Senin, P., Yanga, C., Chatterji, S., Cheng, J.-F., Eisen, J. A., Sierackis, M. E., & Stepanauskas, R. (2009). Assembling the marine metagenome, one cell at a time. 4, e5299. doi:10.1371/journal.pone.0005299. http://www.plosone.org.

  16. Tringe, S. G., von Mering, C., Kobayashi, A., Salamov, A. A., Chen, K., Chang, H. W., et al. (2005). Comparative metagenomics of microbial communities. Science, 308, 554–557.

    Article  CAS  Google Scholar 

  17. Edwards, R. A., Rodriquez-Brito, B., Wegley, L., Haynes, Breitbart, M., Peterson, M. D. M., et al. (2006). Using pyrosequencing to shed light on deep mine microbiol ecology. BMC Genomics, 7, 57. doi:10.1186/1471-2164-7-57.

    Article  Google Scholar 

  18. Sanapareddy, N., Hamp, T. J., Gonzalez, L. C., Hilger, H. A., Fodor, A. A., & Clinton, S. M. (2009). Molecular diversity of a North Carolina wastewater treatment plant as revealed by pyrosequencing. Applied and Environmental Microbiology, 75, 1688–1696.

    Article  CAS  Google Scholar 

  19. Marzorati, M., de Ferra, F., Van Raemdonck, H., Borin, S., Allifranchini, E., Carpani, G., et al. (2007). A novel reductive dehalogenase, identified in a contaminated groundwater enrichment culture and in Desulfitobacterium dichloroeliminans Strain DCA1, is linked to dehalogenation of 1,2-dichloroethane. Applied and Environmental Microbiology, 73, 2990–2999.

    Article  CAS  Google Scholar 

  20. Olaniran, A. O., Bhola, V., & Pillay, B. (2008). Aerobic biodegradation of a mixture of chlorinated organics in contaminated water. African Journal of Biotechnology, 7, 2217–2220.

    CAS  Google Scholar 

  21. Horvath, R. S. (1972). Microbial co-metabolism and the degradation of organic compounds in nature. Bacteriology Reviews, 36, 146–155.

    CAS  Google Scholar 

  22. Krooneman, J., Sliekers, A. O., Gomes, T. M. P., Forney, L. J., & Gottschal, J. C. (2000). Characterization of 3-chlorobenzoate degrading aerobicbacteria isolated under various environmental conditions. FEMS Microbiology Ecology, 32, 53–59.

    Article  CAS  Google Scholar 

  23. Chikere, C. B., Okpokwasili, G. C., & Chikere, B. O. (2009). Bacterial diversity in a tropical crude oil-polluted soil undergoing bioremediation. African Journal of Biotechnology, 8, 2535–2540.

    CAS  Google Scholar 

  24. Tomás-Gallardo, L., Canosa, I., Santero, E., Camafeita, E., Calvo, E., López, J. A., et al. (2006). Proteomic and transcriptional characterization of aromatic degradation pathways in Rhodococcus sp. strain TFB. Proteomics, 6, S119–S132.

    Article  Google Scholar 

  25. Heitkamp, A., & Cerniglia, C. E. (1989). Polycyclic aromatic hydrocarbon degradation by a Mycobacterium sp. in microcosms containing sediment and water from a pristine ecosystem. Applied and Environmental Microbiology, 55, 1968–1973.

    CAS  Google Scholar 

  26. Miller, M. A., & Lipscomb, J. D. (1996). Homoprotocatechuate 2,3-dioxygenase from Brevibacterium fuscum. Journal of Biological Chemistry, 271, 5524–5535.

    Article  CAS  Google Scholar 

  27. Baek, K. H., Yoon, B. D., Lee, I. S., Oh, H. M., & Kim, H. S. (2006). Biodegradation of aliphatic aromatic hydrocarbons by Nocardia sp. H17-1. Geomicrobiology Journal, 23, 253–259.

    Article  CAS  Google Scholar 

  28. Kim, S.-J., Kweon, O., Jones, R. C., Edmondson, R. D., & Cerniglia, C. E. (2008). Genomic analysis of polycyclic aromatic hydrocarbon degradation in Mycobacterium vanbaalenii PYR-1. Biodegradation, 19, 859–881.

    Article  CAS  Google Scholar 

  29. Nies, D. H. (2003). Efflux-mediated heavy metal resistance in prokaryotes. FEMS Microbiology Reviews, 27, 313–339.

    Article  CAS  Google Scholar 

  30. Baumgartner, L. K., Reid, R. P., Dupraz, C., Decho, A. W. D., Buckley, H. J., Spear, R., et al. (2006). Sulfate reducing bacteria in microbial mats: Changing paradigms, new discoveries. Sediment Geology, 185, 131–145.

    Article  CAS  Google Scholar 

Download references

Acknowledgments

The authors wish to thank the National Research Foundation for financial support and TIA (Dr James Sakwa and colleagues) for the pyrosequencing.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Balakrishna Pillay.

Electronic Supplementary Material

Rights and permissions

Reprints and permissions

About this article

Cite this article

Abbai, N.S., Govender, A., Shaik, R. et al. Pyrosequence Analysis of Unamplified and Whole Genome Amplified DNA from Hydrocarbon-Contaminated Groundwater. Mol Biotechnol 50, 39–48 (2012). https://doi.org/10.1007/s12033-011-9412-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12033-011-9412-8

Keywords

Navigation