Limits...
Effect of sludge age on methanogenic and glycogen accumulating organisms in an aerobic granular sludge process fed with methanol and acetate.

Pronk M, Abbas B, Kleerebezem R, van Loosdrecht MC - Microb Biotechnol (2015)

Bottom Line: DNA from the Defluviicoccus-related organisms in cluster II was not extracted by the standard DNA extraction method but with liquid nitrogen, which showed to be more effective.Remarkably, the two GAO types of organisms grew separately in two clearly different types of granules.This work further highlights the potential of aerobic granular sludge systems to effectively influence the microbial communities through sludge age control in order to optimize the wastewater treatment processes.

View Article: PubMed Central - PubMed

Affiliation: Department of Biotechnology, Delft University of Technology, Delft, The Netherlands.

No MeSH data available.


Related in: MedlinePlus

DGGE on bacterial 16s rDNA gene isolated from black and white granules (day 120) from an aerobic granular sludge reactor extracted with the protocol described in the standard extraction kit from (Mobio, USA) and the adjusted liquid nitrogen (N2) extraction method (as described in Experimental procedures).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4554473&req=5

fig04: DGGE on bacterial 16s rDNA gene isolated from black and white granules (day 120) from an aerobic granular sludge reactor extracted with the protocol described in the standard extraction kit from (Mobio, USA) and the adjusted liquid nitrogen (N2) extraction method (as described in Experimental procedures).

Mentions: PCR-DGGE analysis was performed based on the 16S rRNA gene of bacteria to determine the microbial community structure. Figure 4 shows the banding pattern obtained for manually separated black and white granules taken at day 150. The profile shows a limited number of bands at the same height in both granules suggesting a significant difference in community structure. The sequenced bands are numbered B1 to B25, in both the banding pattern (Fig. 4) and the phylogenetic tree (Fig. 5).


Effect of sludge age on methanogenic and glycogen accumulating organisms in an aerobic granular sludge process fed with methanol and acetate.

Pronk M, Abbas B, Kleerebezem R, van Loosdrecht MC - Microb Biotechnol (2015)

DGGE on bacterial 16s rDNA gene isolated from black and white granules (day 120) from an aerobic granular sludge reactor extracted with the protocol described in the standard extraction kit from (Mobio, USA) and the adjusted liquid nitrogen (N2) extraction method (as described in Experimental procedures).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4554473&req=5

fig04: DGGE on bacterial 16s rDNA gene isolated from black and white granules (day 120) from an aerobic granular sludge reactor extracted with the protocol described in the standard extraction kit from (Mobio, USA) and the adjusted liquid nitrogen (N2) extraction method (as described in Experimental procedures).
Mentions: PCR-DGGE analysis was performed based on the 16S rRNA gene of bacteria to determine the microbial community structure. Figure 4 shows the banding pattern obtained for manually separated black and white granules taken at day 150. The profile shows a limited number of bands at the same height in both granules suggesting a significant difference in community structure. The sequenced bands are numbered B1 to B25, in both the banding pattern (Fig. 4) and the phylogenetic tree (Fig. 5).

Bottom Line: DNA from the Defluviicoccus-related organisms in cluster II was not extracted by the standard DNA extraction method but with liquid nitrogen, which showed to be more effective.Remarkably, the two GAO types of organisms grew separately in two clearly different types of granules.This work further highlights the potential of aerobic granular sludge systems to effectively influence the microbial communities through sludge age control in order to optimize the wastewater treatment processes.

View Article: PubMed Central - PubMed

Affiliation: Department of Biotechnology, Delft University of Technology, Delft, The Netherlands.

No MeSH data available.


Related in: MedlinePlus