Evidence map›Paper›PMID 15240304›Full record

ArticleApplied and environmental microbiology2004

Simultaneous discrimination between 15 fish pathogens by using 16S ribosomal DNA PCR and DNA microarrays.

Adelaide E Warsen, Melissa J Krug, Stacey LaFrentz, Danielle R Stanek, Frank J Loge, Douglas R Call

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 101 citations in OpenAlex.

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  8. A review approaches to identify enteric bacterial pathogens.Jundishapur journal of microbiology · 2015
    Review
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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

6 authors at 1 institution in 1 country.

Adelaide E WarsenDepartment of Veterinary Microbiology and Pathology, 490 Bustad Hall, Washington State University, Pullman, WA 99164-7040, USA.
Melissa J Krug
Stacey LaFrentz
Danielle R Stanek
Frank J Loge
Douglas R Call
Washington State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a DNA microarray suitable for simultaneous detection and discrimination between multiple bacterial species based on 16S ribosomal DNA (rDNA) polymorphisms using glass slides. Microarray probes (22- to 31-mer oligonucleotides) were spotted onto Teflon-masked, epoxy-silane-derivatized glass slides using a robotic arrayer. PCR products (ca. 199 bp) were generated using biotinylated, universal primer sequences, and these products were hybridized overnight (55 degrees C) to the microarray. Targets that annealed to microarray probes were detected using a combination of Tyramide Signal Amplification and Alexa Fluor 546. This methodology permitted 100% specificity for detection of 18 microbes, 15 of which were fish pathogens. With universal 16S rDNA PCR (limited to 28 cycles), detection sensitivity for purified control DNA was equivalent to <150 genomes (675 fg), and this sensitivity was not adversely impacted either by the presence of competing bacterial DNA (1.1 x 10(6) genomes; 5 ng) or by the addition of up to 500 ng of fish DNA. Consequently, coupling 16S rDNA PCR with a microarray detector appears suitable for diagnostic detection and surveillance for commercially important fish pathogens.

Indexed as

AnimalsBacteriaDNA, BacterialDNA, RibosomalFishesOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionRNA, Ribosomal, 16SDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID15240304
PMCPMC444826
OpenAlexW2019820018

What OpenQuestion holds

Textmetadata
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.