Evidence map›Paper›PMID 20865042›Full record

ArticlePloS one2010

Detection of Mycobacterium leprae DNA from archaeological skeletal remains in Japan using whole genome amplification and polymerase chain reaction.

Koichi Suzuki, Wataru Takigawa, Kazunari Tanigawa, Kazuaki Nakamura, Yuko Ishido, Akira Kawashima, Huhehasi Wu, Takeshi Akama, Mariko Sue, Aya Yoshihara and 2 more

Abstract readEvaluation Study
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Evolutionary history ofPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  3. Genomic Characterization ofFrontiers in microbiology · 2020
    Article
  4. Article
  5. Article
  6. Molecular analysis of ancient caries.Proceedings. Biological sciences · 2014
    Article
  7. Article
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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.

Koichi SuzukiLaboratory of Molecular Diagnostics, Department of Mycobacteriology, Leprosy Research Center, National Institute of Infectious Diseases, Tokyo, Japan. koichis@nih.go.jp
Wataru Takigawa
Kazunari Tanigawa
Kazuaki Nakamura
Yuko Ishido
Akira Kawashima
Huhehasi Wu
Takeshi Akama
Mariko Sue
Aya Yoshihara
Shuichi Mori
Norihisa Ishii

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentification of pathogen DNA from archaeological human remains is a powerful tool in demonstrating that the infectious disease existed in the past. However, it is very difficult to detect trace amounts of DNA remnants attached to the human skeleton, especially from those buried in a humid atmosphere with a relatively high environmental temperature such as in Asia. METHODOLOGY/PRINCIPAL

findingsHere we demonstrate Mycobacterium leprae DNA from archaeological skeletal remains in Japan by polymerase chain reaction, DNA sequencing and single nucleotide polymorphism (SNP) analysis. In addition, we have established a highly sensitive method of detecting DNA using a combination of whole genome amplification and polymerase chain reaction, or WGA-PCR, which provides superior sensitivity and specificity in detecting DNA from trace amounts of skeletal materials. CONCLUSION/SIGNIFICANCE: We have detected M. leprae DNA in archaeological skeletal remains for the first time in the Far East. Its SNP genotype corresponded to type 1; the first detected case worldwide of ancient M. leprae DNA. We also developed a highly sensitive method to detect ancient DNA by utilizing whole genome amplification.

Indexed as

ArchaeologyCadaverBase SequenceDNA, BacterialGenome, BacterialHumansJapanMolecular Sequence DataMycobacterium lepraePolymerase Chain ReactionPolymorphism, Single NucleotideDNA, Bacterial

Identifiers

PMID20865042
PMCPMC2928730

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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.