Evidence map›Paper›PMID 30185726›Full record

ArticleMicrobes and environments2018

Development of a Quantitative PCR Assay for Arcobacter spp. and its Application to Environmental Water Samples.

Rajani Ghaju Shrestha, Yasuhiro Tanaka, Bikash Malla, Sarmila Tandukar, Dinesh Bhandari, Daisuke Inoue, Kazunari Sei, Jeevan B Sherchand, Eiji Haramoto

Open access · diamondAbstract read
In one paragraph

Article in Microbes and environments, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Diverse Members of the PhylumInternational journal of molecular sciences · 2025
    Article
  2. Microbial and Chemical Water Quality Assessments Across the Rural and Urban Areas of Nepal: A Scoping Review.International journal of environmental research and public health · 2025
    Article
  3. Bacterivorous CiliateAntibiotics (Basel, Switzerland) · 2025
    Article
  4. Article
  5. The Prevalence ofPathogens (Basel, Switzerland) · 2022
    Review
  6. Review
  7. Article
  8. Reduction ofPathogens (Basel, Switzerland) · 2019
    Article
  9. Article
  10. Review
  11. 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

9 authors at 4 institutions in 2 countries.

Rajani Ghaju ShresthaDepartment of Natural, Biotic and Social Environment Engineering, University of Yamanashi.
Yasuhiro TanakaDepartment of Environmental Sciences, University of Yamanashi.
Bikash MallaDepartment of Natural, Biotic and Social Environment Engineering, University of Yamanashi.
Sarmila TandukarDepartment of Natural, Biotic and Social Environment Engineering, University of Yamanashi.
Dinesh BhandariInstitute of Medicine, Tribhuvan University.
Daisuke InoueDivision of Sustainable Energy and Environmental Engineering, Osaka University.
Kazunari SeiDepartment of Health Science, Kitasato University.
Jeevan B SherchandInstitute of Medicine, Tribhuvan University.
Eiji HaramotoInterdisciplinary Center for River Basin Environment, University of Yamanashi.
University of Yamanashi · JPTribhuvan University · NPKitasato University · JPOsaka University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arcobacter spp. are emerging pathogens associated with gastroenteritis in humans. The objective of this study was to develop a highly sensitive and broadly reactive quantitative PCR (qPCR) assay for Arcobacter spp. and to apply the developed assay to different water sources in the Kathmandu Valley, Nepal. Fifteen samples to be analyzed by next-generation sequencing were collected from 13 shallow dug wells, a deep tube well, and a river in the Kathmandu Valley in August 2015. Among the 86 potential pathogenic bacterial genera identified, Acinetobacter, Pseudomonas, Flavobacterium, and Arcobacter were detected with relatively high abundance in 15, 14, 12, and 8 samples, respectively. A primer pair was designed with maximal nucleotide homologies among Arcobacter spp. by comparing the sequences of 16S rRNA genes. These primers were highly specific to most of the known species of Arcobacter and quantified between 1.0×10

Indexed as

Real-Time Polymerase Chain ReactionWater MicrobiologyArcobacterBase SequenceDNA, BacterialEnvironmental MonitoringHigh-Throughput Nucleotide SequencingJapanRNA, Ribosomal, 16SSequence Analysis, DNASpecies SpecificityDNA, BacterialRNA, Ribosomal, 16SArcobacter spp.Kathmandu Valleynext-generation sequencingquantitative PCRwater source

Identifiers

PMID30185726
PMCPMC6167121
OpenAlexW2890837840

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.