2011
DOI: 10.1038/nmeth.1650
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Bayesian community-wide culture-independent microbial source tracking

Abstract: Contamination is a critical issue in high-throughput metagenomic studies, yet progress towards a comprehensive solution has been limited. We present SourceTracker, a Bayesian approach to estimating the proportion of a novel community that comes from a set of source environments. We apply SourceTracker to new microbial surveys from neonatal intensive care units (NICUs), offices, and molecular biology laboratories, and provide a database of known contaminants for future testing.

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Cited by 1,291 publications
(1,163 citation statements)
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References 22 publications
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“…The similarity percentage (SIMPER, Primer-E) analysis was used to determine the sequences that contributed most to similarity within, and dissimilarity between groups of samples identified by water mass and sample type. SourceTracker (Knights et al, 2011) was used to identify sources and sinks of OTUs in samples. The analysis was conducted at a rarefaction depth of 1000.…”
Section: Resultsmentioning
confidence: 99%
“…The similarity percentage (SIMPER, Primer-E) analysis was used to determine the sequences that contributed most to similarity within, and dissimilarity between groups of samples identified by water mass and sample type. SourceTracker (Knights et al, 2011) was used to identify sources and sinks of OTUs in samples. The analysis was conducted at a rarefaction depth of 1000.…”
Section: Resultsmentioning
confidence: 99%
“…To ensure that the result was not unduly influenced by the samples to which the 100-year ceiling was applied (all AABW; see Results) and those for which particle releases were not simulated (samples 11, 13, 17 and 22), the test was repeated with these samples removed. To confirm that the advection effect was directional, that is, 'upstream' sites were acting as sources of diversity to 'downstream' sites, SourceTracker 46 was used to identify sources of OTUs in each sample. Each sample was sequentially designated a sink, with the remaining samples as potential sources, and the most probable proportion of OTUs originating from each potential source determined over 100 randomised trials per sample.…”
Section: Methodsmentioning
confidence: 99%
“…To illustrate the spread of bacterial communities in the fjord the SourceTracker 0.9.5 software (Knights et al, 2011) was applied in QIIME. It is designed to track the relative contribution of predefined microbial sources in sink samples using a Bayesian approach, as done in Storesund et al, in review.…”
Section: Source Tracker Analysismentioning
confidence: 99%