Figures index

From

Effect of 3-Chloroaniline in Microbial Community Structure of Activated Sludge

M. Shah

Journal of Applied & Environmental Microbiology. 2014, 2(5), 220-230 doi:10.12691/jaem-2-5-4
  • Figure 1. Data obtained from the different types of reactors. Reactors 1 were not bioaugmented, and no 3-CA shock was applied (•); reactors 2 were not bioaugmented but were exposed to a 3-CA shock load (♦); reactors 3 were bioaugmented and exposed to a 3-CA shock load (▲). (A) Survival of (Pseudomonas stutzeri amp)cells in reactors 3; (B) concentration of 3-CA in reactors 2 and 3 in the effluent; (C) nitrate concentration in the effluent; (D) ammonium (solid symbols, solid line) and nitrite (open symbols, dotted line) concentrations in the effluent; (E) settlement of the activated sludge, expressed as SVI; (F) COD concentration in the effluent. Values represent the mean and standard error of results from two reactors (n = 2); in some cases, the error bars were too small to illustrate
  • Figure 2. Analysis of the DGGE profiles of the different reactors on days 0，2,and 8 using partial bacterial I6S rRNA gene fragments (bp 338 to 518), based on extracted DNA and RNA. Boxed areas indicate the bands excised and sequenced for further analysis; the accession numbers of the most similar sequences in GenBank are mentioned in the text. Lanes: 1. reactors without inoculate and without 3-CA shock: 2, nonbioaug- mcntcd reactors with 3-CA shock load; 3, bioaugmented reactors with 3-CA shock load
  • Figure 3. Cluster analysis of the bacterial DGGE patterns based on DNA and RNA samples from the different reactors 1. 2. and 3 (Figure 2). The dendrogram was calculated on the basis of the Pearson product-moment correlation coefficient with the UPGMA clustering algorithm. Significant (solid lines) and nonsignificant (dotted lines) clusters were separated by the statistical cluster cutoff method)d. d, days
  • Figure 4. Analysis of the DGGE profiles of the different reactors on days 0, 2，and 8，using partial bacterial 16S rRNA gene fragments, based on DNA and RNA. The gene fragments were obtained by using an AOB-specific PCR with primers CTOl89AB. CT0189C. and CT0653r (Table 1), followed by a second PCR with bacterial primers P338F and P5l8r (Table 1). Bands 3，4. and 5 were excised and sequenc'd for further analysis. Lanes: 1, reactors without inoculate and without 3.CA shock; 2. nonbioaugmented reactors with 3. CA shock load; 3. bioaugmented reactors with 3-CA shock load. The accession numbers of the most similar sequencecs in GenBank are mentioned in the text
  • Figure 5. Relative abundance of cDNA of AOB in activated-sludge reactors, as determined by real-time PCR. Values represent the mean and standard error (n = 3)