PMID- 26921850
OWN - NLM
STAT- MEDLINE
DCOM- 20161213
LR  - 20191210
IS  - 1879-2448 (Electronic)
IS  - 0043-1354 (Linking)
VI  - 93
DP  - 2016 Apr 15
TI  - Into the deep: Evaluation of SourceTracker for assessment of faecal contamination 
      of coastal waters.
PG  - 242-253
LID - S0043-1354(16)30088-4 [pii]
LID - 10.1016/j.watres.2016.02.029 [doi]
AB  - Faecal contamination of recreational waters is an increasing global health 
      concern. Tracing the source of the contaminant is a vital step towards mitigation 
      and disease prevention. Total 16S rRNA amplicon data for a specific environment 
      (faeces, water, soil) and computational tools such as the Markov-Chain Monte 
      Carlo based SourceTracker can be applied to microbial source tracking (MST) and 
      attribution studies. The current study applied artificial and in-laboratory 
      derived bacterial communities to define the potential and limitations associated 
      with the use of SourceTracker, prior to its application for faecal source 
      tracking at three recreational beaches near Port Phillip Bay (Victoria, 
      Australia). The results demonstrated that at minimum multiple model runs of the 
      SourceTracker modelling tool (i.e. technical replicates) were required to 
      identify potential false positive predictions. The calculation of relative 
      standard deviations (RSDs) for each attributed source improved overall predictive 
      confidence in the results. In general, default parameter settings provided high 
      sensitivity, specificity, accuracy and precision. Application of SourceTracker to 
      recreational beach samples identified treated effluent as major source of 
      human-derived faecal contamination, present in 69% of samples. Site-specific 
      sources, such as raw sewage, stormwater and bacterial populations associated with 
      the Yarra River estuary were also identified. Rainfall and associated sand 
      resuspension at each location correlated with observed human faecal indicators. 
      The results of the optimised SourceTracker analysis suggests that local sources 
      of contamination have the greatest effect on recreational coastal water quality.
CI  - Copyright (c) 2016 Elsevier Ltd. All rights reserved.
FAU - Henry, Rebekah
AU  - Henry R
AD  - Environmental and Public Health Microbiology Laboratory (EPHM Lab), Department of 
      Civil Engineering, Monash University, Wellington Road, Clayton 3800, Victoria, 
      Australia.
FAU - Schang, Christelle
AU  - Schang C
AD  - Environmental and Public Health Microbiology Laboratory (EPHM Lab), Department of 
      Civil Engineering, Monash University, Wellington Road, Clayton 3800, Victoria, 
      Australia.
FAU - Coutts, Scott
AU  - Coutts S
AD  - Micromon, Dept. of Microbiology, Monash University, Wellington Road, Clayton 
      3800, Victoria, Australia.
FAU - Kolotelo, Peter
AU  - Kolotelo P
AD  - Environmental and Public Health Microbiology Laboratory (EPHM Lab), Department of 
      Civil Engineering, Monash University, Wellington Road, Clayton 3800, Victoria, 
      Australia.
FAU - Prosser, Toby
AU  - Prosser T
AD  - Melbourne Water, Latrobe St, Docklands 3008, Victoria, Australia.
FAU - Crosbie, Nick
AU  - Crosbie N
AD  - Melbourne Water, Latrobe St, Docklands 3008, Victoria, Australia.
FAU - Grant, Trish
AU  - Grant T
AD  - Melbourne Water, Latrobe St, Docklands 3008, Victoria, Australia.
FAU - Cottam, Darren
AU  - Cottam D
AD  - Environment Protection Authority, 200 Victoria Street, Carlton 3053, Victoria, 
      Australia.
FAU - O'Brien, Peter
AU  - O'Brien P
AD  - Mornington Shire Council, 2 Queen Street, Mornington 3931, Victoria, Australia.
FAU - Deletic, Ana
AU  - Deletic A
AD  - Environmental and Public Health Microbiology Laboratory (EPHM Lab), Department of 
      Civil Engineering, Monash University, Wellington Road, Clayton 3800, Victoria, 
      Australia.
FAU - McCarthy, David
AU  - McCarthy D
AD  - Environmental and Public Health Microbiology Laboratory (EPHM Lab), Department of 
      Civil Engineering, Monash University, Wellington Road, Clayton 3800, Victoria, 
      Australia. Electronic address: david.mccarthy@monash.edu.
LA  - eng
PT  - Evaluation Study
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20160217
PL  - England
TA  - Water Res
JT  - Water research
JID - 0105072
RN  - 0 (RNA, Ribosomal, 16S)
RN  - 0 (Sewage)
SB  - IM
MH  - Bacteria/classification/genetics
MH  - Bathing Beaches
MH  - Bays/microbiology
MH  - Computational Biology/*methods
MH  - Environmental Monitoring/methods
MH  - Estuaries
MH  - Feces/*microbiology
MH  - Geography
MH  - Humans
MH  - RNA, Ribosomal, 16S/genetics
MH  - Recreation
MH  - Reproducibility of Results
MH  - Risk Assessment/*methods
MH  - Risk Factors
MH  - Rivers/microbiology
MH  - Sewage/microbiology
MH  - *Soil Microbiology
MH  - Victoria
MH  - *Water Microbiology
OTO - NOTNLM
OT  - 16S rRNA amplicon
OT  - Bacterial communities
OT  - Coastal waters
OT  - Faecal contamination
OT  - Microbial source tracking
OT  - SourceTracker
EDAT- 2016/02/28 06:00
MHDA- 2016/12/15 06:00
CRDT- 2016/02/28 06:00
PHST- 2015/10/07 00:00 [received]
PHST- 2016/01/25 00:00 [revised]
PHST- 2016/02/12 00:00 [accepted]
PHST- 2016/02/28 06:00 [entrez]
PHST- 2016/02/28 06:00 [pubmed]
PHST- 2016/12/15 06:00 [medline]
AID - S0043-1354(16)30088-4 [pii]
AID - 10.1016/j.watres.2016.02.029 [doi]
PST - ppublish
SO  - Water Res. 2016 Apr 15;93:242-253. doi: 10.1016/j.watres.2016.02.029. Epub 2016 
      Feb 17.