Correlation between DM (black square) or VS (grey triangle) removals and PAH removal.

<p>Correlation between DM (black square) or VS (grey triangle) removals and PAH removal.</p

Similar PAH Fate in Anaerobic Digesters Inoculated with Three Microbial Communities Accumulating Either Volatile Fatty Acids or Methane - Fig 6

<p><b>(A)</b> Influence of the inoculum origin (<i>eco1</i>, <i>eco</i>2, <i>eco3</i>) and time (HRT0, HRT3, HRT4 and HRT5) on the difference in genetic structure of bacterial (on the left) and archaeal (on the right) communities through a PCA. The percentage variation explained by each principal component and the principal component scores of the sample are plotted on their respective axes. Changes over time are graphically represented by arrows.<b>(B)</b> Principal Component Analysis (PCA) biplot of bacterial (on the left) and archaeal (on the right) communities. PCA displayed 65.4% of variance for bacterial CE-SSCP fingerprints and 74.3% of variance for archaeal CE-SSCP fingerprints. Only significant correlations with operational characteristics were presented as arrows.</p

Average enumeration according to the inoculum origin (<i>eco1</i> in white, <i>eco2</i> in grey, <i>eco3</i> in black) of <i>Bacteria</i> (left) and <i>Archaea</i> (right) by q-PCR.

<p>The x axis represents the hydraulic retention time. Standard errors are displayed. HRT4 and HRT 5 represent the steady state based on the reactors performances.</p

<i>Archaea</i> / <i>Bacteria</i> ratio depending on the methane production at steady state.

<p>The ratio is either calculated with the q-PCR or the 454-pyrosequencing data.</p

Principal Component Analysis (PCA) biplot at steady state of microbial communities (<i>eco1</i>, <i>eco2</i>, <i>eco3</i>) obtained with the CE-SSCP data (on the left) and with the sequencing data (on the right).

<p>PCA displayed 92% and 92.3% of variance for microbial fingerprints and sequencing respectively. Most discriminant CE-SSCP peaks (on the left) and most discriminant species (on the right) were highlighted as arrows that were directed according to their explanatory outputs. 1, 2, 3: <i>Clostridium sp</i>. (88%), 4: <i>Parabacteroides sp</i>. (87%), 5: <i>Dysgonomas sp</i>. (90%), 6: <i>Parabacteroides sp</i>. (86%), 7: <i>Clostridium sp</i> (93%), 8: <i>Anaerobaculum mobile</i> (99%), 9: <i>Thiohalomonas sp</i>. (82%), 10: <i>Op9</i> (99%), 11: <i>Pseudomonas stutzeri</i> (99%).</p

Characteristics of the feeding sludge (FS) and of the outlet sludge (<i>eco 1</i>, <i>2 or 3</i>) from the mesophilic bioreactors inoculated with the three microbial communities at steady state.

<p>COD_tot is measured on the total sample and COD_DCM on the DCM fraction. COD*: degraded COD, nd: not detectable. The VFA_tot is the total concentration of the VFA measured on the DCM fraction. The different parameters were averaged on two HRT at steady state.</p><p>Characteristics of the feeding sludge (FS) and of the outlet sludge (<i>eco 1</i>, <i>2 or 3</i>) from the mesophilic bioreactors inoculated with the three microbial communities at steady state.</p

MOESM1 of What are the effective solutions to control the dissemination of antibiotic resistance in the environment? A systematic review protocol

Additional file 1: Table S1. List of search terms. Key search terms used in scientific publication databases