The structure of bacterial communities in the western Arctic Ocean as revealed by pyrosequencing of 16S rRNA genes
Version of Record online: 3 FEB 2010
© 2010 Society for Applied Microbiology and Blackwell Publishing Ltd
Volume 12, Issue 5, pages 1132–1143, May 2010
How to Cite
Kirchman, D. L., Cottrell, M. T. and Lovejoy, C. (2010), The structure of bacterial communities in the western Arctic Ocean as revealed by pyrosequencing of 16S rRNA genes. Environmental Microbiology, 12: 1132–1143. doi: 10.1111/j.1462-2920.2010.02154.x
- Issue online: 23 APR 2010
- Version of Record online: 3 FEB 2010
- Received 4 June, 2009; accepted 4 December, 2009.
Fig. S1. Relationship between total frequency of a group and the number of ≥ 97% clusters in that group for the original data (all samples combined) (A) and in resampled data giving equal number of tags (500) per group (B). ‘Group’ here means phyla or proteobacterial classes. To remove effects due to different sample sizes (e.g. there were many more sequences for the Gammaproteobacteria than for Epsilonproteobacteria), 500 tags for each group were randomly resampled and then the remaining number of ≥ 97% clusters was compared with the original frequency (panel B). The analysis shows that phylotype richness explained the relative abundance of a group even when each group was sampled with equal intensity. The Model II regression slope of log (frequency) versus log(cluster number) was 1.15 + 0.18 (r2 = 0.626; n = 12; P < 0.0001) for the original and 2.63 + 0.81 (r2 = 0.518; n = 12; P < 0.01) for the resampled data.
Fig. S2. The average frequency of ≥ 90% clusters as a function of the number of 97% cluster in each ≥ 90% clusters.
Fig. S3. A measurement of evenness (Gini coefficient) for each > 97% cluster versus the average frequency of that cluster. A perfectly even cluster would have a Gini coefficient of 1 whereas a very uneven cluster would have a coefficient of 0.
Table S1. Number of ribotypes and ≥ 97% clusters belonging to the SAR11 clade.
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