Evidence map›Paper›PMID 42387404›Full record

ArticleBMC plant biology2026

Genetic diversity of Camelina sativa: implications for sustainable crop improvement through Genotyping-by-Sequencing (GBS).

Parnian Karimzadeh, Sajad Rashidi-Monfard, Danial Kahrizi, Reza Haghi

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Article in BMC plant biology, 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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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Parnian KarimzadehAgricultural Biotechnology Department, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran.ORCID http://orcid.org/0009-0008-3246-3313
Sajad Rashidi-MonfardAgricultural Biotechnology Department, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran. rashidims@modares.ac.ir.ORCID http://orcid.org/0000-0001-5380-1387
Danial KahriziAgricultural Biotechnology Department, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran.ORCID http://orcid.org/0000-0002-1717-6075
Reza HaghiThe Gene Bank Department, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany. haghi@ipk-gatersleben.de.ORCID http://orcid.org/0000-0002-9143-4319

Funding

Tarbiat Modares University 33518130
6 · The paper itself

Abstract

backgroundCamelina sativa, an oilseed crop from the Brassicaceae family, has gained attention over the past two decades due to its resilience to harsh environments, short growth cycle, low input needs, and high omega-3 fatty acid content. These traits make it a promising candidate for industrial and bio-based applications, including edible and industrial oils, biofuels, and soil enhancement. This study aimed to identify and genotype SNPs on a genome-wide scale to assess genetic diversity and population structure for breeding programs and conservation efforts.

resultsUsing Genotyping-by-Sequencing (GBS) technology, we investigated 86 C. sativa doubled haploid lines from 15 crosses, mapping 5,872 high-quality SNP markers across the genome. Population structure analysis revealed two main subpopulations, with evidence of genetic exchange likely influenced by geographic factors and human activity. AMOVA results indicated that 90% of variation occurred within subpopulations, with a low Fst value (0.096) suggesting high gene flow (Nm = 2.343). Hierarchical cluster analysis (HCA) based on genetic distances grouped the lines into two main clusters, each further subdivided into two distinct subgroups, highlighting the existence of a well-defined genetic structure within the population.

conclusionsThese findings confirm low genetic diversity within C. sativa populations, which has significant implications for breeding strategies aimed at improving yield and resilience in industrial applications. This research provides crucial insights for future genetic studies and breeding efforts in Camelina, particularly regarding genome-wide association studies (GWAS) and marker-assisted selection (MAS) to enhance genetic gains.

Indexed as

BrassicaceaeGenetic VariationCrops, AgriculturalGenome, PlantGenotypeGenotyping TechniquesPlant BreedingPolymorphism, Single NucleotideCamelina sativaGenomicsSNPVariation

Identifiers

PMID42387404
PMCPMC13591802

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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.