Evidence map›Paper›PMID 24920486›Full record

ArticleThe Journal of veterinary medical science2014

Concise and broadly applicable method for determining the genomic sequences of North-American-type porcine reproductive and respiratory syndrome viruses in various clusters.

Takeya Morozumi, Hiroshi Iseki, Daisuke Toki, Michihiro Takagi, Hiroshi Tsunemitsu, Hirohide Uenishi

Open access · hybridAbstract read
In one paragraph

Article in The Journal of veterinary medical science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Takeya MorozumiAnimal Research Division, Institute of Japan Association for Techno-innovation in Agriculture, Forestry and Fisheries, 446-1 Ippaizuka, Kamiyokoba, Tsukuba, Ibaraki 305-0854, Japan.
Hiroshi Iseki
Daisuke Toki
Michihiro Takagi
Hiroshi Tsunemitsu
Hirohide Uenishi
National Institute of Animal Health · JPInstitute of Agrobiological Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a concise and broadly applicable method for accurate genomic sequencing of North American genotype (NA-type) porcine reproductive and respiratory syndrome viruses (PRRSVs) that overcomes high genetic variability of the viruses. The method, designated "combination of consensus oligonucleotide reverse transcription and multiple displacement amplification" (CORT-MDA), involves reverse-transcription of viral RNA followed by shotgun sequencing after amplification using only 11 degenerate oligonucleotide primers; these primers were designed against consensus regions within the open reading frames of the 124 NA-type PRRSV strains with reported full-length genomic sequences. Sequencing of the 192 shotgun clones generated per virus showed 80% to 94% coverage on the reported PRRSV genomic sequence, such that only 2 or 3 unread regions had to be resequenced after PCR amplification using custom primers. Direct sequencing of RT-PCR products confirmed absolute consistency between sequences determined by the CORT-MDA method and those from RT-PCR. These results suggest that our method is applicable to diverse NA-type viruses.

Indexed as

PhylogenyAnimalsFemaleGenome, ViralNorth AmericaPorcine respiratory and reproductive syndrome virusReverse Transcriptase Polymerase Chain ReactionRNA, ViralSequence Analysis, DNASwineRNA, Viral

Identifiers

PMID24920486
PMCPMC4197153
OpenAlexW1970244623

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.