Evidence map›Paper›PMID 30556109›Full record

ArticleMolecular biology reports2019

Genetic differentiation between bitter and sweet asafetida plants using ISSR markers.

Samira Hossein Jafari, Adel Sepehry, Hassan Soltanloo, Ali Akbar Karimian

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 1 country.

Samira Hossein JafariFaculty of Rangeland & Watershed Management, Gorgan University of Agricultural Science and Natural Resources, Gorgan, Iran. Samirahosseinjafari@yahoo.com.ORCID http://orcid.org/0000-0002-6334-6864
Adel SepehryFaculty of Rangeland & Watershed Management, Gorgan University of Agricultural Science and Natural Resources, Gorgan, Iran.
Hassan SoltanlooDepartment of Plant Breeding & Biotechnology, Gorgan University of Agricultural Science and Natural Resources, Gorgan, Iran.
Ali Akbar KarimianDepartment of Rangeland & Watershed Management, Yazd University, Yazd, Iran.
Gorgan University of Agricultural Sciences and Natural Resources · IRYazd University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bitter (Ferula pseudalliacea) and sweet (Ferula assa-foetida) asafetida (Apiaceae family) are well-known economic and medicinal herbs owing to their gum. This study investigates genetic differentiation of F. pseudalliacea and F. assa-foetida using ISSR markers, to determine the effective primer and to assess the possibility of separating sweet and bitter plant populations from each other. Results showed that among 22 primers, eight markers reproduced obvious DNA patterns and revealed 234 scorable DNA bands. ISSR-16 and ISSR-55 primers had better performance than other primers according to the number of bands, PIC and Marker Index. Bitter population showed polymorphic loci (224), percentage of polymorphic loci (95.73%) and observed number of alleles (1.96 ± 0.2), while sweet populations showed the amount of these parameters as 218, 93.16% and 1.93 ± 0.25, respectively. Estimated G

Indexed as

AllelesBiomarkersCluster AnalysisDNA PrimersFerulaGene FlowGenetic VariationMicrosatellite RepeatsPlants, MedicinalPolymorphism, GeneticRandom Amplified Polymorphic DNA TechniqueBiomarkersDNA PrimersFerula assa-foetidaFerula pseudalliaceaGenetic dissimilarityIranISSR marker

Identifiers

PMID30556109
OpenAlexW2905331853

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.