Evidence map›Paper›PMID 33529261›Full record

ArticlePloS one2021

A PCR plus restriction enzyme-based technique for detecting target-enzyme mutations at position Pro-106 in glyphosate-resistant Lolium perenne.

Hossein Ghanizadeh, Andrew G Griffiths, Christopher E Buddenhagen, Craig B Anderson, Kerry C Harrington

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. 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
0.9field-weighted citation impact, top 21% 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, 6 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

5 authors at 2 institutions in 1 country.

Hossein GhanizadehSchool of Agriculture and Environment, Massey University, Palmerston North, New Zealand.ORCID 0000-0001-5381-7880
Andrew G GriffithsAgResearch Grasslands Research Centre, Palmerston North, New Zealand.
Christopher E BuddenhagenAgResearch Limited, Hamilton, Private Bag, New Zealand.ORCID 0000-0002-3016-1054
Craig B AndersonAgResearch Grasslands Research Centre, Palmerston North, New Zealand.
Kerry C HarringtonSchool of Agriculture and Environment, Massey University, Palmerston North, New Zealand.
AgResearch · NZMassey University · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The first step in managing herbicide-resistant weeds is to confirm their resistance status. It is, therefore, crucial to have a rapid, reliable and cost-effective technique to assess samples for herbicide resistance. We designed and evaluated three derived cleaved amplified polymorphic sequence (dCAPS) markers for detecting glyphosate resistance in Lolium perenne. conferred by non-synonymous mutations at codon-106 in the enolpyruvylshikimate-3-phosphate synthase (EPSPS) gene. The dCAPS markers involve amplification of the target region, digestion of the amplified products with restriction enzymes and gel-based visualisation of the digested products. The results showed that all three dCAPS markers could successfully detect mutations at codon-106 in the target enzyme. The dCAPS markers can also inform us of the zygosity state of the resistance allele and was confirmed by sequencing the target region of the EPSPS gene. The markers described here are effective quick tests for the monitoring and evaluation of the target-enzyme mechanism of glyphosate resistance in Lolium perenne.

Indexed as

DNA Mutational AnalysisPolymerase Chain ReactionRestriction MappingDrug ResistanceGenetic MarkersGlycineGlyphosateLoliumPolymorphism, Single NucleotideGenetic MarkersGlycineGlyphosate

Identifiers

PMID33529261
PMCPMC7853469
OpenAlexW3128143910

What OpenQuestion holds

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LicenceCC BY
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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.