Evidence map›Paper›PMID 23933804›Full record

ArticleWorld journal of microbiology & biotechnology2014

PCR amplification of the hrcV gene through specific primers for detecting Pseudomonas syringae pathovars.

Akbar Vaseghi, Babak Bakhshinejad, Naser Safaie, Reza Ashrafi Parchin, Majid Sadeghizadeh

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of microbiology & biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Akbar VaseghiDepartment of Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
Babak Bakhshinejad
Naser Safaie
Reza Ashrafi Parchin
Majid Sadeghizadeh
Tarbiat Modares University · IRIslamic Azad University Ardabil · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pseudomonas syringae pathovars are important pathogens among phytopathogenic bacteria causing a variety of diseases in plants. These pathogens can rapidly disseminate in a large area leading to infection and destruction of plants. To prevent the incidence of the bacteria, appropriate detection methods should be employed. Routinely serological tests, being time-consuming and costly, are exploited to detect these pathogens in plants, soil, water and other resources. Over the recent years, DNA-based detection approaches which are stable, rapid, specific and reliable have been developed and sequence analysis of various genes are widely utilized to identify different strains of P. syringe. However, the greatest limitation of these genes is inability to detect numerous pathovars of P. syringae. Herein, by using bioinformatic analysis, we found the hrcV gene located at pathogenicity islands of bacterial genome with the potential of being used as a new marker for phylogenetic detection of numerous pathovars of P. syringae. Following design of specific primers to hrcV, we amplified a 440 bp fragment. Of 13 assayed pathovars, 11 were detected. Also, through experimental procedures and bioinformatic analysis it was revealed that the designed primers have the capacity to detect 19 pathovars. Our findings suggest that hrcV could be used as a gene with the merit of detecting more pathovars of P. syringae in comparison with other genes used frequently for detection purposes.

Indexed as

Genes, BacterialBacteriological TechniquesDNA PrimersPhylogenyPlant DiseasesPolymerase Chain ReactionPseudomonas syringaeDNA Primers

Identifiers

PMID23933804
OpenAlexW2011982500

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.