Evidence map›Paper›PMID 24603850›Full record

ArticleScientific reports2014

Ancient pathogen DNA in archaeological samples detected with a Microbial Detection Array.

Alison M Devault, Kevin McLoughlin, Crystal Jaing, Shea Gardner, Teresita M Porter, Jacob M Enk, James Thissen, Jonathan Allen, Monica Borucki, Sharon N DeWitte and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Review
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  5. Article
  6. Review
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  9. Review
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  13. Article
  14. Reconstructing ancient genomes and epigenomes.Nature reviews. Genetics · 2015
    Review
  15. Ancient human microbiomes.Journal of human evolution · 2015
    Article
  16. Parallel detection of ancient pathogens via array-based DNA capture.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Alison M DevaultMcMaster Ancient DNA Centre, Department of Anthropology, McMaster University, 1280 Main St W, Hamilton, Ontario L8S4L9, Canada.
Kevin McLoughlinLawrence Livermore National Laboratory, Livermore, CA 94551, USA.
Crystal JaingLawrence Livermore National Laboratory, Livermore, CA 94551, USA.
Shea GardnerLawrence Livermore National Laboratory, Livermore, CA 94551, USA.
Teresita M PorterDepartment of Biology, McMaster University, 1280 Main St W, Hamilton, Ontario L8S 4K1, Canada.
Jacob M Enk1] McMaster Ancient DNA Centre, Department of Anthropology, McMaster University, 1280 Main St W, Hamilton, Ontario L8S4L9, Canada [2] Department of Biology, McMaster University, 1280 Main St W, Hamilton, Ontario L8S 4K1, Canada.
James ThissenLawrence Livermore National Laboratory, Livermore, CA 94551, USA.
Jonathan AllenLawrence Livermore National Laboratory, Livermore, CA 94551, USA.
Monica BoruckiLawrence Livermore National Laboratory, Livermore, CA 94551, USA.
Sharon N DeWitteDepartments of Anthropology and Biological Sciences, University of South Carolina, Columbia, SC, USA.
Anna N DhodyThe College of Physicians of Philadelphia, Mütter Museum, 19 S 22nd St, Philadelphia, PA 19103, USA.
Hendrik N Poinar1] McMaster Ancient DNA Centre, Department of Anthropology, McMaster University, 1280 Main St W, Hamilton, Ontario L8S4L9, Canada [2] Department of Biology, McMaster University, 1280 Main St W, Hamilton, Ontario L8S 4K1, Canada [3] Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, 1280 Main St W, Hamilton, Ontario L8S4L8, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ancient human remains of paleopathological interest typically contain highly degraded DNA in which pathogenic taxa are often minority components, making sequence-based metagenomic characterization costly. Microarrays may hold a potential solution to these challenges, offering a rapid, affordable, and highly informative snapshot of microbial diversity in complex samples without the lengthy analysis and/or high cost associated with high-throughput sequencing. Their versatility is well established for modern clinical specimens, but they have yet to be applied to ancient remains. Here we report bacterial profiles of archaeological and historical human remains using the Lawrence Livermore Microbial Detection Array (LLMDA). The array successfully identified previously-verified bacterial human pathogens, including Vibrio cholerae (cholera) in a 19th century intestinal specimen and Yersinia pestis ("Black Death" plague) in a medieval tooth, which represented only minute fractions (0.03% and 0.08% alignable high-throughput shotgun sequencing reads) of their respective DNA content. This demonstrates that the LLMDA can identify primary and/or co-infecting bacterial pathogens in ancient samples, thereby serving as a rapid and inexpensive paleopathological screening tool to study health across both space and time.

Indexed as

ArchaeologyDNA, BacterialOligonucleotide Array Sequence AnalysisComputational BiologyHigh-Throughput Nucleotide SequencingHumansPhylogenyVibrio choleraeYersinia pestisDNA, Bacterial

Identifiers

PMID24603850
PMCPMC3945050

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LicenceCC BY-NC-SA
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.