freshwater metagenome
In this study we collected water from different locations in 32 drinking water distribution networks in the Netherlands and analysed the spatial and temporal variation in microbial community composition by high-throughput sequencing of 16S rRNA gene amplicons. We observed that microbial community compositions of raw source water and processed water were very different for each distribution network sampled. Although, in each network, major differences in community compositions were observed between raw and processed water, the community structure of processed water did not differ substantially from end-point tap water. Different end-point water samples within the same distribution network revealed very similar community structures. These network specific community structures were shown to be surprisingly stable in time. Our findings demonstrate that the high-throughput sequencing approach applied provides a powerful and sensitive tool to assess and evaluate microbial community composition in drinking water distribution systems. Furthermore, this approach can be used to quantitatively compare the microbial communities to match an end-point water sample to a specific distribution network. Insight in the microbial ecology of drinking water distribution systems will facilitate the development of effective control strategies that will ensure safe and high-quality drinking water.
ENA-FIRST-PUBLIC
2014-12-01T17:03:36Z
ENA-LAST-UPDATE
2018-03-09T11:43:32Z
External Id
SAMEA2821053
INSDC center name
TNO
INSDC first public
2014-12-01T17:03:36Z
INSDC last update
2018-03-09T11:43:32Z
INSDC status
public
Location_address
La Cabine
Submitter Id
MiSeqRun33BioD89
isolation source
Biofilm growing in unchlorinated drinking water
sample name
MiSeqRun33BioD89
sampling method
Biofilms uit watermeter
scientific_name
freshwater metagenome
sequencing method
Illumina MiSeq
water type
biofilm
zipcode
8471