SSR-based genetic diversity assessment among Tunisian winter barley and relationship with morphological traits

Hamza, Sonia; Hamida, Wafa Ben; Rebaï, Ahmed; Harrabi, M.

doi:10.1023/b:euph.0000009547.65808.bf

Cited by 97 publications

(65 citation statements)

References 17 publications

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“…Eshghi and Akhundova (2010) in hulless barley reported that there is no correlation between RAPD marker and morphological traits. Hamza et al (2004) showed that the correlation between SSR markers and morphological traits was highly significant, and the correspondence between the clustering based on DNA markers and morphological data was relatively good. In some cases, two clusters do not match.…”

Section: Comparison Between Morphological Traits and Isj Polymorphismsmentioning

confidence: 92%

“…The average of genetic diversity index for RAPDs and storage proteins were compared and showed that mean of genetic diversity index was less for RAPDs than storage proteins. Hamza et al (2004) assessed the genetic diversity of 26 Tunisian winter barley cultivars/landraces with 17 SSRs, and reported a moderate level of diversity in this sample (DI=0.45). Moreover, the UPGMA cluster analysis based on SSRs data and morphological data clearly differentiated the local landraces from modern varieties.…”

Section: Introductionmentioning

confidence: 99%

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Study of Genetic Diversity among Rainfed Barley Genotypes Using ISJ Markers and Morphological Traits

Drikvand

Salahvarzi²,

Salahvarzi³

et al. 2012

JAS

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Barley ranks below wheat, corn and rice in total world production. Barley is one of the most important crops in Iran. In this study, genetic diversity of 20 rainfed barley genotypes were assessed using morphological traits as well as 20 primers of ISJ semi-random markers. There were significant differences among genotypes for the all traits, indicating high genetic variation among barley germplasm. Based on molecular data, 133 bands were detected and 89 bands were polymorph. The mean number of bands was 6.65 per primer. According to cluster analysis of similarity matrix of molecular and Euclidean distances of morphological data, similarities ranged between 0.42-0.85 and 1.44-43.22, respectively. Based on molecular data and morphological traits, the highest similarities were belonged to genotypes number 2, 8 (0.85), and 5, 8 (1.44) respectively. The results showed that intron-exon splice junction (ISJ) markers and morphological traits rather could distinct two and six-rowed and also hulless and hulled barley genotypes. Distinction of two clusters did not follow the same pattern.

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Section: Comparison Between Morphological Traits and Isj Polymorphismsmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Study of Genetic Diversity among Rainfed Barley Genotypes Using ISJ Markers and Morphological Traits

Drikvand

Salahvarzi²,

Salahvarzi³

et al. 2012

JAS

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“…The correlation coefficient was estimated to be 0.099 between matrices generated by SSR and RAPD markers using the Mantel Test (t01.69, P00.95). Microsatellite markers are useful for genetic diversity analysis studies at varietal, species and genus level due to their sequence conservation at flanking regions (Hamza et al 2004). Although a great number of population genetic studies have been conducted on Juglans species (Fornari et al 2001;Victory et al 2006), no genetic research based on the use of molecular markers has been published previously on J. regia populations in India.…”

Section: Rapd and Ssr Analysismentioning

confidence: 99%

SSR and RAPD analysis of genetic diversity in walnut (Juglans regia L.) genotypes from Jammu and Kashmir, India

Ahmed

Mir

et al. 2012

Physiol Mol Biol Plants

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“…RAPD-like assays can search large genomic portions due to their abundant distribution in the genome and there by presenting a more accurate picture of genetic variation within the crop plants in an efficient and inexpensive ways (Souframanien and Gopalakrishna, 2004). RAPD markers have been successfully used to evaluate genetic diversity in Brassica (Demeke et al, 1992;Jain et al, 1994;Thormann et al, 1994;Bhatia et al, 1995;Dulson et al, 1998;Zu and Wu, 1998;Divaret et al, 1999), common wheat (Liu et al, 1999;Sivolap et al, 1997), maize (Zhang et al, 1998;Bernado et al, 1997), barley (Hamza et al, 2004) and sesame (Salazar et al, 2007). The number of markers used, their abundance in the genome and the degree of precision with which the results are analyzed determine the accuracy to distinguish the genotypes (Schut et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Genetic Variation in Indian Mustard (<i>Brassica juncea</i> L.) Using PCR Based Markers

Gupta¹,

Zargar²,

Gupta³

et al. 2014

mpb

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Indian mustard (Brassica juncea L.) is an important oilseed crop with oil content ranging from 30 to 48 percent. However, presence of high erusic acids, glucosinolates and saturated fatty acids and also narrowed genetic base of existing varieties confines its use. The present investigation was undertaken to explore the diversity among Indian mustard genotypes (varieties) using molecular markers. We used RAPD and EST based SSRs as the markers for assessment of genetic variation among 23 genotypes of Brassica juncea L. cultivated in North India. In order to be sure about the authenticity of primers especially RAPDs, four other genotypes of different Brassica species were also considered for this investigation. To determine the discriminatory power of the RAPD primers, polymorphism percentage, PIC, MI and Rp were calculated. Finally the cluster analysis was done to determine the genetic diversity among the 27 genotypes, which includes 4 genotypes of other Brassica species. The polymorphism percentage of more than 91% and 86.66% was observed using the fifteen reproducible RAPDs and three EST SSRs respectively. Moreover the PIC values observed corresponds to 0.303, with 4.44 marker index and 6.89 resolving power for RAPDs, however, SSRs showed the PIC value of 0.281, with 0.94 marker index and 0.269 resolving power. The parameters calculated to estimate the discriminatory power presented a significant correlation and their high values depict the potential of primers for distinguishing the genotypes. The cluster analysis based on UPGMA separated the genotypes in two major groups. To the best of our expectations, all the genotypes of Brassica juncea are grouped in one major cluster and genotypes of other Brassica species are grouped in different cluster. Based on these preliminary results, the diverse genotypes can be used as a genetic stock for improvement of this crop in future breeding programs.

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SSR-based genetic diversity assessment among Tunisian winter barley and relationship with morphological traits

Cited by 97 publications

References 17 publications

Study of Genetic Diversity among Rainfed Barley Genotypes Using ISJ Markers and Morphological Traits

Study of Genetic Diversity among Rainfed Barley Genotypes Using ISJ Markers and Morphological Traits

SSR and RAPD analysis of genetic diversity in walnut (Juglans regia L.) genotypes from Jammu and Kashmir, India

Assessment of Genetic Variation in Indian Mustard (<i>Brassica juncea</i> L.) Using PCR Based Markers

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