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Showing 4 results for Population Structure
Ali Shuorvazdi, Seyed Abuolghasem Mohammadi, Majid Norozi, Behzad Sadeghzadeh, Volume 1, Issue 1 (5-2014)
Abstract
Due to their adaptation to different environment conditions, landraces are valuable genetic resurces for incresing diversity of breeding germplasms and are potential resources for biotic and abiotic stress resistant genes. In the present study, genetic diversity and relationships of 119 barely landraces from different countries along with 25 commerical varieties and breeding lines were assessed, using 45 microsatellite primer pairs. In total, 225 alleles range from 2 to 14 and an average of 5 alleles per locus were amplified. Polymorphic information contenet (PIC) varied from 0.05 to 0.90 with a mean of 0.51. The minimum and maximum frequency of common allele belonged to EBMAC0788 (0.13) and GBM1411 (0.97) markers, respectively. Analysis of molecular variance (AMOVA) revealed a higher within group variation (94%) than between group. Maximum and minimum Shannon’s and Nei gene diversity indices were observed in Iranian and Egyptian landraces, respectively. Cluster analysis using Minimum Evolution algorithm and P-distance coefficient assigned the studied genotypes into three groups. This grouping was partly consistent with geographical origins of the genotypes.
Abouzar Abouzari, Ahmad Reza Dadras, Behrouz Golein, Yahya Tajvar, Volume 7, Issue 2 (3-2021)
Abstract
In breeding programs, it is necessary having knowledge of the relatedness and genetic diversity in germplasm pools. The spread of cultivated regions and the high levels of production indicates citrus importance in the global economy. Therefore, 110 citrus genotypes were evaluated using 12 ISSR markers. Overall, 154 polymorphic bands were scored with an average of 12.8 alleles per primer. The polymorphism percentage ranged from 57 for the ISSR1 to 82 for the ISSR9. Averages of polymorphic information content (PIC), marker index (MI), gene diversity index (Nei), Shannon index (I) and number of effective alleles (Ne) were 0.48 ± 0.002, 6.14 ± 1.17, 0.42 ± 0.11, 0.61 ± 0.12 and 1.78 ± 0.27, respectively. Based on genetic diversity statistics, the studied population had high genetic diversity, and four markers (ISSR11, ISSR9, ISSR4, and ISSR5) had more potential for differentiation of genotypes. Cluster analysis and model-based structure analysis, divided the genotypes into five groups and four subpopulations based on the Neighbor-Joining method (NJ) and Bayesian approach, respectively. Based on both analyses, grouping of unknown genotypes and control cultivars in the same group probably confirms the assumption of a common genetic background between these genotypes. Results from the two analyses showed that Pummelo (C. maxima), Mandarin (C. reticulate), and Citron (C. medica), as three true citrus species, separated in different groups. In addition to the three true species, at least one species or another genus of citrus relatives is involved in the genetic makeup of the studied population. In this study, although both used analyses were effective in completing each other's information, by considering the degree of genetic mixing and the information of the origin of the genotypes, the effectiveness of model-based structure analysis in evaluating genetic relationships could be achieved.
Mahmood Aslanparviz, Varahram Rashidi, Mansour Omidi, Alireza Etminan, Alireza Ahmadzadeh, Volume 8, Issue 2 (3-2022)
Abstract
Evaluation of genetic diversity is the key principal for plant breeding, providing an opportunity to discover novel characters and alleles for breeders. In the present study, 69 durum wheat genotypes were investigated for genetic diversity using several inter-simple sequence repeat (ISSR) markers. Sixteen ISSR primers amplified a total of 163 fragments, which out 160 fragments were polymorphic. The mean values of polymorphic information content (PIC), resolving power (Rp) and marker index (MI) indicated that the used ISSR primers could be exploited for further assessing relationships among investigated genotypes and population structure analysis. The results of the molecular analysis of variance showed that the genetic variation within populations is more than between them. Based on genetic variation parameters, the highest number of observed alleles (Na), Shannon’s information index (I) and the percentage of polymorphic loci (PPL) were found in Iranian landraces. Cluster analysis and population structure grouped all investigated genotypes into three main clusters and six subpopulations, respectively. In conclusion, our results revealed the high rate of genetic diversity within Iranian landraces, so this germplasm can be used as a valuable gene source for the selection of parent lines and use of them in durum wheat breeding programs.
Parastoo Zarei, Hedieh Badakhshan, Ghader Mirzaghaderi, Volume 11, Issue 1 (9-2024)
Abstract
Evaluating genetic diversity in plant species is essential for crop improvement. This research compared the genetic diversity between common oat (Avena sativa) and wild oat (Avena fatua) using molecular markers, phenotypic traits, and chromosomal characteristics. SCoT and IRAP markers generated 283 and 117 bands, respectively. Both marker systems revealed higher polymorphism in wild oat compared to common oat. SCoT markers showed 65.37 percent polymorphism in wild oat versus 60.07 percent in common oat, while IRAP markers exhibited 76.07 and 69.23 percent polymorphism, respectively. Genetic diversity indices (Ne, He, and PIC) indicated slightly higher genetic diversity in wild oat for both marker systems, although the genetic distance between the two species was relatively low. Population structure analysis using Bayesian methods, Principal Coordinate Analysis (PCoA), and Analysis of Molecular Variance (AMOVA) consistently identified distinct subpopulations and significant genetic variation within species. Phenotypic trait analysis revealed significant differences among genotypes. Common oat genotypes generally exhibited greater plant height, while wild oat genotypes had higher 100-seed weight. Heatmap cluster analysis grouped genotypes into three clusters based on phenotypic traits. All genotypes were hexaploid but showed differences in chromosomal parameters such as total chromosome length, centromeric index, and dispersion index. However, no significant differences were found between common and wild oat species in these parameters. Principal Component Analysis (PCA) of chromosomal parameters explained 94.72 percent of the cumulative variance, with PC1 emphasizing centromere position and PC2 highlighting chromosomal asymmetry. This comprehensive study provides valuable insights for breeding and conservation strategies in oat species.
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