Evidence map›Paper›PMID 31024059›Full record

ArticleScientific reports2019

Environmental DNA metabarcoding to detect pathogenic Leptospira and associated organisms in leptospirosis-endemic areas of Japan.

Yukuto Sato, Masaru Mizuyama, Megumi Sato, Toshifumi Minamoto, Ryosuke Kimura, Claudia Toma

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
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  14. Epidemiological Study of PathogenicAnimals : an open access journal from MDPI · 2022
    Article
  15. Strategies for managing marine disease.Ecological applications : a publication of the Ecological Society of America · 2022
    Article
  16. Article
  17. Article
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  20. Leptospirosis and Coinfection: Should We Be Concerned?International journal of environmental research and public health · 2021
    Review
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

6 authors.

Yukuto SatoCenter for Strategic Research Project, Organization for Research Promotion, University of the Ryukyus, 1 Senbaru, Nishihara, Okinawa, 903-0213, Japan. yuksato@lab.u-ryukyu.ac.jp.
Masaru MizuyamaDepartment of Bacteriology, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan.
Megumi SatoGraduate School of Health Sciences, Niigata University, 2-746 Asahimachi-dori, Chuo-ku, Niigata, 951-8122, Japan.ORCID http://orcid.org/0000-0003-4374-8070
Toshifumi MinamotoGraduate School of Human Development and Environment, Kobe University, 3-11 Tsurukabuto, Nada-ku, Kobe, 657-8501, Japan.ORCID http://orcid.org/0000-0002-5379-1622
Ryosuke KimuraDepartment of Human Biology and Anatomy, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan.
Claudia TomaDepartment of Bacteriology, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan. claudia@med.u-ryukyu.ac.jp.ORCID http://orcid.org/0000-0002-9852-1722

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leptospires, which cause the zoonotic disease leptospirosis, persist in soil and aqueous environments. Several factors, including rainfall, the presence of reservoir animals, and various abiotic and biotic components interact to influence leptospiral survival, persistence, and pathogenicity in the environment. However, how these factors modulate the risk of infection is poorly understood. Here we developed an approach using environmental DNA (eDNA) metabarcoding for detecting the microbiome, vertebrates, and pathogenic Leptospira in aquatic samples. Specifically, we combined 4 sets of primers to generate PCR products for high-throughput sequencing of multiple amplicons through next-generation sequencing. Using our method to analyze the eDNA of leptospirosis-endemic areas in northern Okinawa, Japan, we found that the microbiota in each river shifted over time. Operating taxonomic units corresponding to pathogenic L. alstonii, L. kmetyi, and L. interrogans were detected in association with 12 nonpathogenic bacterial species. In addition, the frequencies of 11 of these species correlated with the amount of rainfall. Furthermore, 10 vertebrate species, including Sus scrofa, Pteropus dasymallus, and Cynops ensicauda, showed high correlation with leptospiral eDNA detection. Our eDNA metabarcoding method is a powerful tool for understanding the environmental phase of Leptospira and predicting human infection risk.

Indexed as

AnimalsDNA Barcoding, TaxonomicDNA, EnvironmentalJapanLeptospiraLeptospirosisPolymerase Chain ReactionSequence Analysis, DNAWater MicrobiologyDNA, Environmental

Identifiers

PMID31024059
PMCPMC6484013

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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.