Origin and genetic diversity of Tunisian grapes as revealed by microsatellite markers

Zoghlami, Nèjia; Riahi, Leila; Laucou, Valérie; Lacombe, Thierry; Mliki, Ahmed; Ghorbel, Abdelwahed; This, Patrice

doi:10.1016/j.scienta.2008.12.011

Cited by 33 publications

(28 citation statements)

References 29 publications

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“…The SSR analysis in current study has enabled to differentiate rootstock varieties (SO4, Ramsey and Dog Ridge) from other studied varieties. This supports the efficacy of SSR technique to differentiate and study the genetic relationship in Tunisian, Spanish, and French grapes (Zoghlami et al, 2009;Moreno-Sanz et al, 2011;Pelsy et al, 2010). The power of SSR technique was most effective to characterize all tested grape varieties through the production of unique positive and/or negative markers (Table 2).…”

Section: The Polymorphism Analysis Of Ssr Markerssupporting

confidence: 67%

“…Another six SSR primers were used to fingerprint 25 grape varieties from Peru´ and Argentinaand produced heterozygosity between 71% and 89%, and the PIC ranged between 0.70 and 0.88 (Martinez et al, 2006). Also, 10 SSR primers genotyped 61 Tunsian grape varities and proved that the number of alleles per locus ranged from 6 to 11, and the PIC rangedfrom 0.86 to 0.91 (Zoghlami et al,2009). The variation in reported PIC values could be due to the different number of varietes used in these studies.…”

Section: The Polymorphism Analysis Of Ssr Markersmentioning

confidence: 99%

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Genetic diversity, variety identification and gene detection in some Egyptian grape varieties by SSR and SCoT markers

Ibrahim¹,

Adawy²,

Atia³

et al. 2016

Plant Omics

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Leaves of seven Egyptian grape varieties represent different range of agronomic and morphological traits were genotyped using Start-codon Targeted (SCoT) and Simple Sequence Repeats (SSR). The 24 SCoT primers generated 362 total fragments with 77.10% of polymorphism and 0.04 of average PIC. Dice coefficient that shows the genetic similarity and relationship was also used between the seven varieties. On one hand, SCoT analysis successfully characterized 73 unique positive and negative markers differentiating between the rootstock varieties especially those with green and red fruits. On the other hand, the seven SSR primers produced 73 fragments with 86.30% total polymorphism and 0.14 of average PIC. It also provided 19 unique positive and negative markers differentiating between the rootstock varieties. SO4 variety was identified by the highest number of positive unique markers (5). Both Scot and SSR analysis had covered 0.02% (0.10 Mbp) of V.vinifera genome. The SCoT covered 0.96 Mbp and SSR covered 846 bp. Together, the covered region encompassed about 22 genes of grape genome. Further, eight SCoT polymorphic bands were purified, cloned and sequenced. Of which, four SCoT sequences (SCoT3 600 , SCoT4 450 , SCoT6 200 and SCoT12 550 ) showed high similarity to some potential genes.

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Section: The Polymorphism Analysis Of Ssr Markerssupporting

confidence: 67%

Section: The Polymorphism Analysis Of Ssr Markersmentioning

confidence: 99%

Genetic diversity, variety identification and gene detection in some Egyptian grape varieties by SSR and SCoT markers

Ibrahim¹,

Adawy²,

Atia³

et al. 2016

Plant Omics

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show abstract

“…They have become the marker of choice for genetic mapping, gene tagging, genetic diversity study, genomic and cDNA fingerprinting. Currently, SSR markers have been used to determine genetic diversity and relationships in many plant species (Zoghlami et al, 2009;Cheng and Huang, 2009;Tahan et al, 2009). The objectives of this study were to investigate the molecular variation and structure of population cultivars, compare the genetic variation among cultivars, subspecies and an advanced breeding line, and to determine whether there is still a relatively high genetic diversity within orchardgrass cultivar for further breeding programs.…”

Section: Introductionmentioning

confidence: 99%

Genetic variation and comparison of orchardgrass (Dactylis glomerata L.) cultivars and wild accessions as revealed by SSR markers

Xie¹,

Lu²,

Zhang³

et al. 2012

Genet. Mol. Res.

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ABSTRACT. Orchardgrass is a highly variable, perennial forage grass that is cultivated throughout temperate and subtropical regions of the world. Despite its economic importance, the genetic relationship and distance among and within cultivars are largely unknown but would be of great interest for breeding programs. We investigated the molecular variation and structure of cultivar populations, compared the level of genetic diversity among cultivars (Baoxing, Anba, Bote, and Kaimo), subspecies (Dactylis glomerata ssp Woronowii) and advanced breeding line (YA02-116) to determine whether there is still sufficient genetic diversity within presently used cultivars for future breeding progress in China. Twenty individuals were analyzed from each of six accessions using SSR markers; 114 easily scored bands were generated from 15 SSR primer pairs, with an average of 7.6 alleles per locus. The polymorphic rate was 100% among the 120 individuals, reflecting a high degree of genetic diversity. Among the six accessions, the highest genetic diversity was observed in Kaimo (H = 0.2518; I = 0.3916; P = 87.3%) and 02-116 had a lower level of genetic diversity (H = 0.1806; I = 0.2788; P = 58.73%) compared with other cultivars tested. An analysis of molecular variance revealed a much larger genetic variation within accessions (65%) than between them (35%). This observation suggests that these cultivars have potential for providing rich genetic resource for further breeding program. Furthermore, the study also indicated that Chinese orchardgrass breeding has involved strong selection for adaptation to forage production, which may result in restricted genetic base of orchardgrass cultivar.

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“…Microsatellite markers have been extensively used in grape for different purposes: variety identification in collections, pedigree analysis, or genetic mapping (1,31,36). Several genetic diversity studies have been conducted in local, regional or national germplasm collection of grape using microsatellite markers, for example, Portugal (9), turkey (19), tunisia (35), Spain (18,21), hungary (12), Brasil (20), italy (29) and France (25).…”

Section: Introductionmentioning

confidence: 99%

Genetic Relationships of Chinese Grape Accessions to European and American Cultivars Assessed by Microsatellite Markers

Guo

Zhang

Liu

et al. 2010

Biotechnology & Biotechnological Equipment

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Origin and genetic diversity of Tunisian grapes as revealed by microsatellite markers

Cited by 33 publications

References 29 publications

Genetic diversity, variety identification and gene detection in some Egyptian grape varieties by SSR and SCoT markers

Genetic diversity, variety identification and gene detection in some Egyptian grape varieties by SSR and SCoT markers

Genetic variation and comparison of orchardgrass (Dactylis glomerata L.) cultivars and wild accessions as revealed by SSR markers

Genetic Relationships of Chinese Grape Accessions to European and American Cultivars Assessed by Microsatellite Markers

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