2014
DOI: 10.1186/1756-0500-7-111
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False positives complicate ancient pathogen identifications using high-throughput shotgun sequencing

Abstract: BackgroundIdentification of historic pathogens is challenging since false positives and negatives are a serious risk. Environmental non-pathogenic contaminants are ubiquitous. Furthermore, public genetic databases contain limited information regarding these species. High-throughput sequencing may help reliably detect and identify historic pathogens.ResultsWe shotgun-sequenced 8 16th-century Mixtec individuals from the site of Teposcolula Yucundaa (Oaxaca, Mexico) who are reported to have died from the huey coc… Show more

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Cited by 36 publications
(26 citation statements)
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References 53 publications
(76 reference statements)
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“…Given the technical difficulties of detecting pathogens in skeletal remains via this method (Campana et al, 2014), this result was not unexpected. Further analyses using genomic capture which has been shown to be successful in retrieving pathogen genomes from archaeological samples, could be conducted in the future (Bos et al, 2011;Bouwman et al, 2012).…”
Section: Discussionmentioning
confidence: 74%
“…Given the technical difficulties of detecting pathogens in skeletal remains via this method (Campana et al, 2014), this result was not unexpected. Further analyses using genomic capture which has been shown to be successful in retrieving pathogen genomes from archaeological samples, could be conducted in the future (Bos et al, 2011;Bouwman et al, 2012).…”
Section: Discussionmentioning
confidence: 74%
“…Moreover, the sample with histological evidence of bioerosion YOR‐20 seems to display the greatest diversity of bacterial sequences recovered (Figure S3). However, given the complexities of environmental metagenomic analyses (Campana et al, ; Salter et al, ; Pedersen et al, ) these results should be interpreted with caution.…”
Section: Resultsmentioning
confidence: 94%
“…However, high‐throughput sequencing is sensitive to the contamination of samples with exogenous (nontarget) DNA. Errors introduced by interspecific DNA contamination have been identified in whole genome assemblies (Koutsovoulos et al, ; Longo, O'Neill, & O'Neill, ), ancient DNA (Campana, Robles García, Rühli, & Tuross, ) and metagenomic data sets (Schmieder & Edwards, ). To address the problem of interspecific contamination, bioinformatic tools have been developed to remove exogenous DNA from sequence data (Schmieder & Edwards, ) before contaminated sequences are incorporated into downstream analyses.…”
Section: Introductionmentioning
confidence: 99%