BMC Genomics · 2006 · 488 citations · 19 references
Life SciencesBiologyMicrobiologyEnvironmental MicrobiologyMicrobial EcologyMicrobial MetabolismEnvironmental Microbial GenomicsMine SequencingCarbon Source UtilizationMicrobial Community MetabolismMicrobial Iron AcquisitionMicrobial Metabolism In The Deep Subsurface
BACKGROUND: Contrasting biological, chemical and hydrogeological analyses highlights the fundamental processes that shape different environments. Generating and interpreting the biological sequence data was a costly and time-consuming process in defining an environment. Here we have used pyrosequencing, a rapid and relatively inexpensive sequencing technology, to generate environmental genome sequences from two sites in the Soudan Mine, Minnesota, USA. These sites were adjacent to each other, but differed significantly in chemistry and hydrogeology. RESULTS: Comparisons of the microbes and the subsystems identified in the two samples highlighted important differences in metabolic potential in each environment. The microbes were performing distinct biochemistry on the available substrates, and subsystems such as carbon utilization, iron acquisition mechanisms, nitrogen assimilation, and respiratory pathways separated the two communities. Although the correlation between much of the microbial metabolism occurring and the geochemical conditions from which the samples were isolated could be explained, the reason for the presence of many pathways in these environments remains to be determined. Despite being physically close, these two communities were markedly different from each other. In addition, the communities were also completely different from other microbial communities sequenced to date. CONCLUSION: We anticipate that pyrosequencing will be widely used to sequence environmental samples because of the speed, cost, and technical advantages. Furthermore, subsystem comparisons rapidly identify the important metabolisms employed by the microbes in different environments.
19
Basic local alignment search tool
Stephen F. Altschul, Warren Gish, Webb Miller et al. · Journal of Molecular Biology · 1990 · 94.5K citations
Genome sequencing in microfabricated high-density picolitre reactors
Marcel Margulies, William E. Altman, Said Attiya et al. · Nature · 2005 · 7.7K citations · Full text
Base-Calling of Automated Sequencer Traces Using<i>Phred.</i> I. Accuracy Assessment
Brent Ewing, LaDeana Hillier, Michael C. Wendl et al. · Genome Research · 1998 · 7K citations · Full text
Environmental Genome Shotgun Sequencing of the Sargasso Sea
J. Craig Venter, Karin Remington, John F. Heidelberg et al. · Science · 2004 · 4.4K citations