Genetic diversity of Iranian Aegilops tauschii Coss. using microsatellite molecular markers and morphological traits
| Autor: | Mahmood Solouki, Abbas Ali Imamjomeh, Zahra Tahernezhad, Mohammad Reza Bihamta, Mohammad Jafaraghaei, Mohammad Javad Zamani, Mehdi Zahravi |
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| Rok vydání: | 2009 |
| Předmět: |
Genetic Markers
Iran Quantitative trait locus Biology Poaceae Polymorphism Single Nucleotide Quantitative Trait Heritable Genetic variation Genetics Aegilops tauschii Common wheat Molecular Biology Alleles Phylogeny Principal Component Analysis Genetic diversity UPGMA Discriminant Analysis Genetic Variation food and beverages General Medicine biology.organism_classification Genetic marker Microsatellite Factor Analysis Statistical Microsatellite Repeats |
| Zdroj: | Molecular Biology Reports. 37:3413-3420 |
| ISSN: | 1573-4978 0301-4851 |
| Popis: | Aegilops tauschii Coss. is a diploid (2n = 2x = 14,DD) goat grass species which has contributed the D genome in common wheat. Genetic variations in 28 accessions of Aegilops tauschii belonged to different provinces of Iran, were evaluated using 16 morphological traits and 19 SSR markers. In number of spikelet per spike and plant height, there was a high variation in ssp. tauschii and ssp. strangulata respectively and for days to mature a low variation in both subspecies was found. Discriminant function analysis showed that 67.9% of original grouped cases correctly classified. Factor analysis indicated that three factor explain 66.49% of total variation. The three clusters revealed by the cluster analysis were not consistent with their geographical distributions. We determined 208 alleles using 19 microsatellites. Average of alleles for every locus was 10.94. The total average of PIC was 0.267. 2261 bands produced for total of genotypes and Chinese Spring had the highest bands (95 alleles). The range of similarity coefficients was between 0.23 and 0.73. Genotypes were clustered using UPGMA method. The accessions did not match according to morphological cluster and geographical regions. 51.2% of total variations were related to 9 principle components. |
| Databáze: | OpenAIRE |
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