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Analysis of genetic diversity and population structure in Nigella sativa L. using agronomic traits and molecular markers (SRAP and SCoT)
- Golkar, Pooran, Nourbakhsh, Venus
- Industrial crops and products 2019 v.130 pp. 170-178
- Nigella sativa, agronomic traits, branches, chromosome mapping, genetic markers, genetic variation, genotype, loci, plant height, population structure, provenance, seed weight, seed yield, seeds, start codon, Central Asia, Egypt, Libya, Syria, Tunisia, Yemen
- The present study aimed to investigate genetic diversity and population structure using eight agro-morphological traits, 20 polymorphic sequence-related amplified polymorphisms (SRAP) and 12 polymorphic start codon targeted (SCoT) markers in 30 core collections of Nigella sativa L. The results showed significant differences among accessions for agro-morphological traits (plant height, branches/plant, capitula/plant, capitula diameter, stem diameter, seeds/capitulum, seed weight and seed yield/plant). The capitula/plant and seed yield/plant showed the most genetic variation among the studied traits. SRAP molecular markers produced higher mean for percentage of polymorphism (82.7%) and polymorphism information content (PIC: 0.44) compared to SCoT markers for percentage of polymorphism (81.75%) and PIC (0.43). Overall, the highest mean for genetic diversity (0.31), and Shannonʼs index (0.45) and the greatest number of polymorphic loci were observed at Ethiopia- Yemen population. Population structure analysis assigned N. sativa population into 4 and 6 subpopulations for SCoT and SRAP markers, respectively. Based on molecular data, the genotypes were classified into three groups: 1: Iranian accessions, East Far, Tunisia, Georgia, Algera1, 2: Middle- East, North Africa and Central Asia regions, 3: Syria 1, Libya and two single accessions from Yemen and Egypt. There was slight agreement between the geographic origin and molecular classification, indicating gentle impacts of geographies on the genetic diversity of Nigella sativa accession based on the molecular data. This study put forward the view that employing the mixture of SRAP, SCoT markers and agro-physiological traits would be useful for studies aimed at clarifying the population structure, genetic and linkage map analysis for N. sativa.