I am now working with 16S sequence data from microbial communities generated through paired-end Illumina instead of 454. Since barcodes are sequenced in a fundamentally different way in the Illumina system, Illumina sequence data are not really very compatible with the current version of mothur [update: please see more recent comments below regarding the mothur MiSeq SOP], at least at the beginning of an analysis pipeline. Of course, complex Perl scripts could be written to manipulate the Illumina output so that mothur could use it; however, QIIME already has specific scripts for processing Illumina data. Since I am now in a lab that uses QIIME regularly (and, therefore, it has been expertly installed on our main Linux server), there are no longer roadblocks in place for using this program. So I am now using QIIME for all of my 16S data processing, and it's great! I really like its visual outputs and its to-the-point scripts that can perform complex functions with a single command.
So my question for everyone who conducts microbial community analyses is: mothur or QIIME? ...or do you prefer something else? ...perhaps a combination of different programs?
I suppose at this point I prefer QIIME for very standard 16S-based community analyses, but if I want to do something creative and complicated with amplicon data (as I am doing for one upcoming paper), a pipeline built based on mothur commands still seems best due to that program's extreme flexibility.
Caporaso, J.G., J. Kuczynski, J. Stombaugh, K. Bittinger, F.D. Bushman, E.K. Costello, N. Fierer, A.G. Pena, J.K. Goodrich, J.I. Gordon, G.A. Huttley, S.T. Kelley, D. Knights, J.E. Koenig, R.E. Ley, C.A. Lozupone, D. McDonald, B. D Muegge, M. Pirrung, J. Reeder, J.R. Sevinsky, P.J. Turnbaugh, W.A. Walters, J. Widmann, T. Yatsunenko, J. Zaneveld and R. Knight. 2010. QIIME allows analysis of high-throughput community sequencing data. Nature Methods 7: 335-336.
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Hodkinson, B. P. 2011. A phylogenetic, ecological, and functional characterization of non-photoautotrophic bacteria in the lichen microbiome. Doctoral Dissertation, Duke University, Durham, NC.
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Hodkinson, B.P., N.R. Gottel, C.W. Schadt and F. Lutzoni. 2012a. Data from: Photoautotrophic symbiont and geography are major factors affecting highly structured and diverse bacterial communities in the lichen microbiome. Dryad Digital Repository. doi:10.5061/dryad.t99b1
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Hodkinson, B.P., N.R. Gottel, C.W. Schadt and F. Lutzoni. 2012b. Photoautotrophic symbiont and geography are major factors affecting highly structured and diverse bacterial communities in the lichen microbiome. Environmental Microbiology 14(1): 147-161. doi:10.1111/j.1462-2920.2011.02560.x
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Schloss, P.D., S.L. Westcott, T. Ryabin, J.R. Hall, M. Hartmann, E.B. Hollister, R.A. Lesniewski, B.B. Oakley, D.H. Parks, C.J. Robinson, J.W. Sahl, B. Stres, G.G. Thallinger, D.J. Van Horn and C.F. Weber. 2009. Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities. Applied and Environmental Microbiology 75(23): 7537-7541.
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