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From

16S rRNA Amplicons Survey Revealed Unprecedented Bacterial Community in Solid Biomedical Wastes

Kilaza Samson MWAIKONO, Solomon Maina, Aswathy Sebastian, Vivek Kapur, Paul Gwakisa

American Journal of Microbiological Research. 2015, 3(4), 135-143 doi:10.12691/ajmr-3-4-3
  • Figure 1. Types of solid biomedical waste on the dumpsite. (A) Expired drugs, (B) used syringes (C) drugs and drugs containers (D) drugs containers and residues
  • Figure 2. Rarefaction curves of v4 region of 16S rRNA gene sequences from 15 samples. Figure 2a show rarefaction curves as per sequences generated from each sample and Figure 2b is a rarefaction curve after subsampling of 69,000 sequences from each sample
  • Figure 3. Predominant bacteria phyla in solid biomedical wastes. OTUs were assigned at 97% sequence similarity cut-off
  • Figure 4. Population structure of bacteria from 15 solid biomedical waste samples (cluster A, n = 10 cluster B, n = 5). Phylogenetic tree was established using UPGMA (Unweighted Pair Group Method with Arithmetic Mean) based on Bray Curtis distances of dissimilarity. 16S rRNA sequence similarity was established at 97% cut-off level
  • Figure 5. Abundance of predominant bacterial genera in clusters A and cluster B of solid biomedical wastes from the same dumpsite. Normalized sequence counts from each cluster were used in the comparison
  • Figure 6. Taxonomy to metabolism mapping of bacteria OTUs of the solid biomedical waste
  • Figure 7. Taxonomy to human pathogens mapping. OTUs were assigned at 97% sequence similarity cut-off