Evidence map›Paper›PMID 25089898›Full record

ArticlePloS one2014

Microbial population analysis of the salivary glands of ticks; a possible strategy for the surveillance of bacterial pathogens.

Yongjin Qiu, Ryo Nakao, Aiko Ohnuma, Fumihiko Kawamori, Chihiro Sugimoto

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
7.7field-weighted citation impact, top 2% of its field
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

62 citing papers in PubMed, 132 citations in OpenAlex.

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  14. Recently EvolvedFrontiers in cellular and infection microbiology · 2022
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  15. What do we know about the microbiome ofFrontiers in cellular and infection microbiology · 2022
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  16. Species-Level Profiling ofGenetic testing and molecular biomarkers · 2021
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  17. Molecular Detection and Genotyping ofPathogens (Basel, Switzerland) · 2021
    Article
  18. Article
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2 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Yongjin QiuDivision of Collaboration and Education, Hokkaido University Research Center for Zoonosis Control, Sapporo, Japan.
Ryo NakaoUnit of Risk Analysis and Management, Hokkaido University Research Center for Zoonosis Control, Sapporo, Japan.
Aiko OhnumaAdministration Office, Hokkaido University Research Center for Zoonosis Control, Sapporo, Japan.
Fumihiko KawamoriDepartment of Microbiology, Shizuoka Prefectural Institute of Public Health and Environmental Science, Shizuoka, Japan.
Chihiro SugimotoDivision of Collaboration and Education, Hokkaido University Research Center for Zoonosis Control, Sapporo, Japan.
Hokkaido University · JPShizuoka Prefecture Institute of Environmental Health Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ticks are one of the most important blood-sucking vectors for infectious microorganisms in humans and animals. When feeding they inject saliva, containing microbes, into the host to facilitate the uptake of blood. An understanding of the microbial populations within their salivary glands would provide a valuable insight when evaluating the vectorial capacity of ticks. Three tick species (Ixodes ovatus, I. persulcatus and Haemaphysalis flava) were collected in Shizuoka Prefecture of Japan between 2008 and 2011. Each tick was dissected and the salivary glands removed. Bacterial communities in each salivary gland were characterized by 16S amplicon pyrosequencing using a 454 GS-Junior Next Generation Sequencer. The Ribosomal Database Project (RDP) Classifier was used to classify sequence reads at the genus level. The composition of the microbial populations of each tick species were assessed by principal component analysis (PCA) using the Metagenomics RAST (MG-RAST) metagenomic analysis tool. Rickettsia-specific PCR was used for the characterization of rickettsial species. Almost full length of 16S rDNA was amplified in order to characterize unclassified bacterial sequences obtained in I. persulcatus female samples. The numbers of bacterial genera identified for the tick species were 71 (I. ovatus), 127 (I. persulcatus) and 59 (H. flava). Eighteen bacterial genera were commonly detected in all tick species. The predominant bacterial genus observed in all tick species was Coxiella. Spiroplasma was detected in Ixodes, and not in H. flava. PCA revealed that microbial populations in tick salivary glands were different between tick species, indicating that host specificities may play an important role in determining the microbial complement. Four female I. persulcatus samples contained a high abundance of several sequences belonging to Alphaproteobacteria symbionts. This study revealed the microbial populations within the salivary glands of three species of ticks, and the results will contribute to the knowledge and prediction of emerging tick-borne diseases.

Indexed as

AnimalsBacteriaDNA, RibosomalFemaleLikelihood FunctionsMaleMicrobiotaMolecular Sequence DataPhylogenyPrincipal Component AnalysisSalivary GlandsSequence Analysis, DNASpecies SpecificityTicksDNA, Ribosomal

Identifiers

PMID25089898
PMCPMC4121176
OpenAlexW2026541104

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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.