Evidence map›Paper›PMID 26114389›Full record

ArticleInternational journal of molecular sciences2015

Structure and Principal Components Analyses Reveal an Intervarietal Fusion in Malaysian Mistletoe Fig (Ficus deltoidea Jack) Populations.

Birifdzi Zimisuhara, Alireza Valdiani, Noor Azmi Shaharuddin, Faridah Qamaruzzaman, Mahmood Maziah

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2015. 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
–field-weighted citation impact
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.

  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

5 authors.

Birifdzi ZimisuharaInstitute of Bioscience, Universiti Putra Malaysia, UPM Serdang, Selangor 43400, Malaysia. zimisuhara@gmail.com.
Alireza ValdianiDepartment of Biochemistry, Faculty of Biotechnology and Molecular Sciences, Universiti Putra Malaysia, UPM Serdang, Selangor 43400, Malaysia. alireza.valdiani@gmail.com.
Noor Azmi ShaharuddinDepartment of Biochemistry, Faculty of Biotechnology and Molecular Sciences, Universiti Putra Malaysia, UPM Serdang, Selangor 43400, Malaysia. noorazmi@upm.edu.my.
Faridah QamaruzzamanInstitute of Bioscience, Universiti Putra Malaysia, UPM Serdang, Selangor 43400, Malaysia. fqz@upm.edu.my.
Mahmood MaziahInstitute of Bioscience, Universiti Putra Malaysia, UPM Serdang, Selangor 43400, Malaysia. maziahm@upm.edu.my.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic structure and biodiversity of the medicinal plant Ficus deltoidea have rarely been scrutinized. To fill these lacunae, five varieties, consisting of 30 F. deltoidea accessions were collected across the country and studied on the basis of molecular and morphological data. Molecular analysis of the accessions was performed using nine Inter Simple Sequence Repeat (ISSR) markers, seven of which were detected as polymorphic markers. ISSR-based clustering generated four clusters supporting the geographical distribution of the accessions to some extent. The Jaccard's similarity coefficient implied the existence of low diversity (0.50-0.75) in the studied population. STRUCTURE analysis showed a low differentiation among the sampling sites, while a moderate varietal differentiation was unveiled with two main populations of F. deltoidea. Our observations confirmed the occurrence of gene flow among the accessions; however, the highest degree of this genetic interference was related to the three accessions of FDDJ10, FDTT16 and FDKT25. These three accessions may be the genetic intervarietal fusion points of the plant's population. Principal Components Analysis (PCA) relying on quantitative morphological characteristics resulted in two principal components with Eigenvalue >1 which made up 89.96% of the total variation. The cluster analysis performed by the eight quantitative characteristics led to grouping the accessions into four clusters with a Euclidean distance ranged between 0.06 and 1.10. Similarly, a four-cluster dendrogram was generated using qualitative traits. The qualitative characteristics were found to be more discriminating in the cluster and PCA analyses, while ISSRs were more informative on the evolution and genetic structure of the population.

Indexed as

Evolution, MolecularModels, GeneticPolymorphism, GeneticFicusGenes, PlantMicrosatellite RepeatsPrincipal Component AnalysisReproductiongenetic structuregenetic variationISSRsPrincipal Components Analysis (PCA)STRUCTURE and cluster analyses

Identifiers

PMID26114389
PMCPMC4519847

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.