Evidence map›Paper›PMID 42348125›Full record

ArticleBiochemical genetics2026

Genetic Diversity and Population Structure of 72 Turkish Ficus carica (L.) Genotypes Assessed Using SCoT Markers.

Meliha Feryal Sarıkaya, Muhammad Azhar Nadeem, Sarmad Ali Qureshi, Mehmet Bedir, Muhammed Tatar, Amjad Ali, Muhammad Tanveer Altaf, Viyan Acar Uçer, Kağan Kökten, Erdal Aglar and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Biochemical genetics, 2026. 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
–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

0 citing papers in PubMed.

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

11 authors.

Meliha Feryal Sarıkaya *Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, 58140, Sivas, Turkey.
Muhammad Azhar NadeemDepartment of Biotechnology, Faculty of Science, Mersin University, Yenişehir, 33343, Mersin, Turkey. azharjoiya22@gmail.com.
Sarmad Ali Qureshi *Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, 58140, Sivas, Turkey.
Mehmet BedirFaculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, 58140, Sivas, Turkey.
Muhammed TatarFaculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, 58140, Sivas, Turkey.
Amjad AliFaculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, 58140, Sivas, Turkey.
Muhammad Tanveer AltafDepartment of Field Crops, Faculty of Agriculture, Recep Tayyip Erdoğan University, 53300, Rize, Turkey.
Viyan Acar UçerDepartment of Horticulture, Faculty of Agriculture, Van Yüzüncü Yıl University, 65080, Van, Turkey.
Kağan KöktenFaculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, 58140, Sivas, Turkey.
Erdal AglarDepartment of Horticulture, Faculty of Agriculture, Van Yüzüncü Yıl University, 65080, Van, Turkey.
Faheem Shehzad BalochDepartment of Biotechnology, Faculty of Science, Mersin University, Yenişehir, 33343, Mersin, Turkey.

Funding

Mersin Üniversitesi 2025-AP5-5456
6 · The paper itself

Abstract

Ficus carica L. is an economically important fruit crop widely cultivated in the Mediterranean region. In this study, genetic diversity and population structure were investigated in 72 F. carica genotypes collected from the Derecik and Çukurca regions of Hakkâri province, Türkiye, using 15 highly polymorphic Start Codon Targeted (SCoT) markers. A total of 481 amplification bands were obtained, of which 475 were polymorphic, resulting in a high average polymorphism rate of 98.60%. Genetic diversity indices indicated substantial variation among the genotypes, with a mean effective number of alleles of 1.53, gene diversity of 0.31, and Shannon information index of 0.47. The average genetic distance among genotypes was 0.37, with the highest pairwise distance (0.721) observed between genotypes HC4 and HD7. Analysis of molecular variance (AMOVA) revealed that most genetic variation was distributed within populations (93%), whereas only 7% was among populations. Bayesian STRUCTURE analysis identified two distinct genetic clusters corresponding largely to geographic origin, with 22 genotypes (30.56%) classified as admixed based on a membership coefficient threshold of < 0.70. Principal coordinate analysis (PcoA) clearly separated genotypes according to their sampling locations, where Axis 1 and Axis 2 explained 24.31% and 15.07% of the total genetic variation, respectively. Overall, these findings demonstrate the effectiveness of SCoT markers in assessing genetic diversity and population structure in F. carica germplasm from southeastern Türkiye. Future studies should use codominant markers (SSRs and SNPs) expand geographic sampling, and adopt open data repositories to enhance conservation and breeding strategies.

Indexed as

Diversity indicesGenetic conservationMolecular breedingNeighbour-joining methodSCoT markers

Identifiers

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.