Evidence map›Paper›PMID 41691150›Full record

ArticleBMC genomics2026

Genetic diversity and population structure analysis of cotton (Gossypium hirsutum L.) genotypes using DArTseq technology.

Kamil Haliloğlu, Batuhan Akgöl, Tuğçe Hançer, Hadi Alipour, Aras Türkoğlu

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Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kamil HaliloğluDepartment of Biology, Faculty of Science, Gazi University, Ankara, 06170, Türkiye.
Batuhan AkgölProGen Tohum A.Ş., Büyükdalyan Mh. 2. Küme Evler Sk. No:49, Antakya/HATAY, 31060, Türkiye.
Tuğçe HançerProGen Tohum A.Ş., Büyükdalyan Mh. 2. Küme Evler Sk. No:49, Antakya/HATAY, 31060, Türkiye.
Hadi AlipourDepartment of Plant Production and Genetics, Urmia University, Urmia, Iran. ha.alipour@urmia.ac.ir.
Aras TürkoğluDepartment of Field Crops, Faculty of Agriculture, Necmettin Erbakan University, 42310, Konya, Türkiye. aras.turkoglu@erbakan.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cotton is a globally cultivated crop that is exposed to various biotic and abiotic stress conditions. The most effective strategy to mitigate these stresses is the development of tolerant or resistant varieties through plant breeding programs. Appropriate breeding strategies such as conventional breeding are crucial for generating beneficial genetic variations and identifying desirable traits. Integrating conventional breeding with molecular breeding is a key approach to addressing the challenges of sustainable cotton production. We aimed to assess the genetic diversity and the population structure of cotton genotypes, therefore evaluating genotypes value in terms of use for breeding purposes. A total of 913 genotypes, including advanced breeding lines from the Gossypium hirsutum L., were genotyped using the diversity array technology sequencing (DArTseq array) with a high throughput of the single-nucleotide polymorphisms (SNPs). Out of 5,986 SNPs, 1,431 high-quality SNPs were selected for genome diversity analysis. The genotypes investigated were classified into subgroups based on kinship relationships, UPMGA clustering, discriminant analysis of principal components, and principal coordinate analysis. Population structure analysis using the model-based ΔK method suggested an optimal K = 2, representing the highest level of population differentiation. However, the multivariate DAPC method revealed a finer substructure of K = 3, providing a more detailed view of the genetic relationships within the breeding lines. The highest fixation index (FST) and lowest gene flow (Nm) were observed between subpopulation I and subpopulation II. The mean values of minor allele frequency (MAF), genetic diversity (GD), polymorphism information content (PIC), observation heterozygosity (Ho), and the highest FST across the whole genome were estimated at 0.2328, 0.3208, 0.2607, 0.0210, and 0.0830, respectively. The findings of this study will provide valuable insights into breeders in selecting parents for cultivar development breeding programs through crossbreeding.

Indexed as

Genetic VariationGenotypeGossypiumGenetics, PopulationGenome, PlantPlant BreedingPolymorphism, Single NucleotideCottonDArTseqGenetic diversityPolymorphismPopulation structure

Identifiers

PMID41691150
PMCPMC13011683

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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.