scholarly journals Genetic variability and population structure of Saudi Arabia bread wheat (Triticum aestivum L.) by microsatellite markers

Genetika ◽  
2020 ◽  
Vol 52 (3) ◽  
pp. 943-956
Author(s):  
Ibrahem Almohisen

Almohisen A. Ibrahem (2020). Genetic variability and population structure of Saudi Arabia bread wheat (Triticum aestivum L.) by microsatellite markers- Genetika, Vol 52, No.3, 943-956. Wheat (Triticum aestivum L.) is an important cereal crop. Analysis of genetic diversity and population structure in local landraces would improve the wheat breeding program by more efficient use of genetic materials and management of genetic variation. To address this challenge, a set of thirteen Saudi Arabia wheat landraces was used to assess population structure and genetic diversity. Thirteen landraces were genotyped using eighteen microsatellite markers which revealed a clear polymorphism among these genotypes. In total, 136 alleles from a set of eighteen simple sequence repeats (SSRs) loci on a panel of thirteen wheat landraces were detected. All SSRs loci showed a wide range of allele numbers extended from 3 to 11 alleles with an average of 7.5. Genetic diversity, polymorphism information content and minor allele frequency ranged from 0.26 to 0.50, 0.23 to 0.37 and 0.15 to 0.46 with an average 0.43, 0.33 and 0.34, respectively. The results of principal coordinate analysis (PCoA) agreed with the structure analysis. Structure grouped the thirteen landraces into three clear subpopulations. The fixation index (Fst), a measure of population substructure, was 0.217, 0.432 and 0.541 for G2, G1, and G3, respectively. Furthermore, analysis of molecular variance recognized 35% variance among and 65% within populations. The present study showed a high genetic diversity between landraces which can be exploited to produce new bread wheat cultivars.

Author(s):  
Ahmed Medhat Mohamed Al-Naggar ◽  
Mohamed Abd El-Maboud Abd El-Shafi ◽  
Mohamed Helmy El-Shal ◽  
Ali Hassan Anany

To increase the genetic progress in wheat (Triticum aestivum L.) yield, breeders search for germplasm of high genetic diversity, one of them is the landraces. The present study aimed at evaluating genetic diversity of 20 Egyptian wheat landraces and two cultivars using microsatellite markers (SSRs). Ten SSR markers amplified a total of 27 alleles in the set of 22 wheat accessions, of which 23 alleles (85.2%) were polymorphic. The majority of the markers showed high polymorphism information content (PIC) values (0.67-0.94), indicating the diverse nature of the wheat accessions and/or highly informative SSR markers used in this study. The genotyping data of the SSR markers were used to assess genetic variation in the wheat accessions by dendrogram. The highest genetic distance was found between G21 (Sakha 64; an Egyptian cultivar) and the landrace accession No. 9120 (G11). These two genotypes could be used as parents in a hybridization program followed by selection in the segregating generations, to identify some transgressive segregates of higher grain yield than both parents. The clustering assigned the wheat genotypes into four groups based on SSR markers. The results showed that the studied SSR markers, provided sufficient polymorphism and reproducible fingerprinting profiles for evaluating genetic diversity of wheat landraces. The analyzed wheat landraces showed a good level of genetic diversity at the molecular level. Molecular variation evaluated in this study of wheat landraces can be useful in traditional and molecular breeding programs.


2017 ◽  
Vol 16 (36) ◽  
pp. 1832-1839 ◽  
Author(s):  
Tekeu Honore ◽  
M. L. Ngonkeu Eddy ◽  
P. Djocgoue Francois ◽  
Ellis Aletta ◽  
Lendzemo Venasius ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (4) ◽  
pp. e94000 ◽  
Author(s):  
Nanna Hellum Nielsen ◽  
Gunter Backes ◽  
Jens Stougaard ◽  
Stig Uggerhøj Andersen ◽  
Ahmed Jahoor

2019 ◽  
Vol 11 (29) ◽  
pp. 9-16
Author(s):  
Nasrin Ghasemi ◽  
Reza Gholi Mirfakhraii ◽  
Alireza Abbasi ◽  
◽  
◽  
...  

2016 ◽  
Vol 54 (4) ◽  
pp. 421-437 ◽  
Author(s):  
Tulin Tascioglu ◽  
Ozge Karakas Metin ◽  
Yildiz Aydin ◽  
Muhammet Sakiroglu ◽  
Kadir Akan ◽  
...  

2019 ◽  
Vol 22 (2) ◽  
pp. 139-151 ◽  
Author(s):  
Hossein Abbasi Holasou ◽  
Frough Rahmati ◽  
Fatemeh Rahmani ◽  
Mahdi Imani ◽  
Zoleikha Talebzadeh

2020 ◽  
pp. 1362-1371
Author(s):  
Sibusiswangaye Y Mdluli ◽  
Hussein Shimelis ◽  
Assefa B. Amelework

The objective of this study was to assess genetic diversity and population structure of 47 bread wheat genotypes obtained from the International Maize and Wheat Improvement Centre (CIMMYT) using 10 polymorphic simple sequence repeat (SSR) markers. Data was subjected to analysis for generating a dissimilarity matrix by the Jaccard index for clustering by the Neighbour-joining algorithm on DARwin 6.5 software. GenAlex Software was used to analyse the number of detected alleles (Na), number of effective alleles (Ne), observed heterozygosity (Ho), expected heterozygosity (He), genetic distance (GD), genetic identity (GI), gene flow (Nm), fixation index (F), Shannon’s Information Index (I), Analysis of molecular variance (AMOVA) and polymorphic information content (PIC). Results revealed that, at the locus level, marker Xgwm 132 had the highest Na (21), Ne (14.5), Ho (1.0) and He (0.94), while at the population level, Population III had the highest Na (21), Ne (5.59), He (0.83), and I (1.78). The mean PIC recorded was 0.80, and ranged from 0.63 (Wmc 78) to 0.93 (Xgwm 132). AMOVA revealed significant differences in genetic variation allocated within individuals (60%), across different individuals (37%) and across populations (3%) (P < 0.001). Four populations were distinguished based on pedigrees with GD ranging from 0.01 (Populations III and IV) to 0.31 (Populations II and III), while GI ranged from 0.74 (Populations II and III) to 0.99 (Populations III and IV). The selected markers successfully distinguished test genotypes with the most informative marker being Xgwm 132. Populations II and III were most distinct, thus suitable for parental selection and further drought tolerance breeding.


10.5219/978 ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 100-108
Author(s):  
Ayman El-Fiki ◽  
Mohamed Adly

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