Chloroplast DNA polymorphisms as molecular markers to identify cultivars of <i>Olea europaea</i> L.

Intrieri, Maria; Muleo, Rosario; Buiatti, M.

doi:10.1080/14620316.2007.11512206

Cited by 25 publications

(22 citation statements)

References 25 publications

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“…This control may be more accurate and efficient when DNA-based methodologies are used, once they are independent from environmental conditions. Currently, DNA-based techniques are being widely used for food traceability purposes Baleiras-Couto and Eiras-Dias 2006;Doveri and Lee 2007;Faria et al 2008;Intrieri et al 2007;Jérôme et al 2008;Martins-Lopes et al 2008;Pafundo et al 2007;Vietina et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Molecular Markers for Assessing Must Varietal Origin

et al. 2012

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Wine quality and market value greatly depend on the grapevine varietal composition, which may be characteristic of specific regions. In order to defend the distinct regions, Denominations of Origin were defined to protect against fraudulent practices. In this study, we evaluated the efficiency of two microsatellite-based systems (microsatellite (SSR) and intermicrosatellite (ISSR)) for must varietal composition determination and their potential role in certification purposes. Eleven Vitis vinifera L. varieties from leaf and monovarietal must DNA samples were screened with six SSR and 14 ISSR primers to discriminate polymorphisms. Principal coordinates analysis was performed with DCENTER on the resultant data using unweighted pair group mathematical average and revealed that ISSRs markers were not suitable for certification procedures, whereas nuclear SSR markers presented a complete correspondence between leaf and must samples, demonstrating that they were adequate for traceability purposes.

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Section: Introductionmentioning

confidence: 99%

Molecular Markers for Assessing Must Varietal Origin

et al. 2012

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“…Olive is also the second most important oil fruit crop cultivated worldwide after oil palm (Baldoni and Belaj 2009). Olea species were evaluated by using various genetic markers such as SSRs genotyping (Taamalli et al 2008;Ercisli et al 2011, Gomes et al 2009, Carriero et al 2002; RAPDs genotyping (Bogani et al 1994;Belaj et al 2004); AFLPs genotyping (Owen et al 2005;Baldoni et al 2006), SNPs (Reale et al 2006), Ribosomal DNA polymorphisms (Hess et al 2000, Besnard et al 2007, and organelle DNA polymorphisms (Besnard et al 2002;Intrieri et al 2007).…”

Section: Introductionmentioning

confidence: 99%

In Silico chloroplast SSRs mining of Olea species

Filiz

Koç

2012

Biodiversitas

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Filiz E, Koc E. 2012. In Silico chloroplast SSRs mining of Olea species. Biodiversitas 13: 114-117. Simple sequence repeat (SSR) markers are highly informative and have been widely applied as molecular markers in genetic studies. The purpose of present study is to analyze the occurrence and distribution of chloroplast SSRs in genic and intergenic regions from Olea species viz., Olea europaea, Olea europaea subsp. cuspidate, Olea europaea subsp. europaea, Olea europaea subsp. maroccana, Olea woodiana subsp. woodiana by using bioinformatics tools. We identified 1149 chloroplast SSRs (cpSSRs) in all genome and a total of 340 (29.6%) was located in genic regions. It was observed that the most abundant repeat types were found mononucleotide SSR (66.7 %) followed by trinucleotide SSR (28.3 %), dinucleotide (2.7%), tetranucleotide (1.5%) and pentanucleotide (0.8%). cpSSRs located in genic regions were identified only mono-and trinucleotide motifs, the most abundant of which was trinucleotide (16.2%) followed by mononucleotide (14.3%). All types of repeat motif (mono-, di-, tri-, tetra-and pentanucleotide) were detected except hexanucleotide motifs. According to SSRs analysis, the most abundant observed motifs were identified for mono-, di-, tri-, tetra-and pentanucleotide cpSSRs A/T, AT/TA, AAG/CTT, AAAG/AGTTT, and AATCC/ATTGG respectively. This study results provided scientific base for phylogenetics, evolutionary genetics and diversity studies on different Olea species in future.

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“…Non-coding area such as intergenic and intron are areas, in which mutation possibly happened. Mutation is source of diversity (intra and intra-specific) from base sequences in DNA or genotype (Intrieri et al, 2007). …”

Section: Amplification Resultsmentioning

confidence: 99%

UTILIZATION OF cpDNA SEQUENCES TO IDENTIFY 15 MANGO ACCESSIONS

Sukartini¹,

Taryono

Basunanda

et al. 2016

Agrivita.J.Agr.Sci

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Information about genetic relationship and genetic diversity are an inevitable need in mango breeding program. Base substitution value, genetic distance and grouping of 15 mango accessions based on accessions in chloroplast DNA (cpDNA) among 15 mango accessions were assessed. The samples were originated from Mango Germplasm, Cukur Gondang Research Station of Indonesian Tropical Fruits Research Institute, Pasuruan, East Java. Sequencing of Chloroplast DNA was used to obtain nucleotide sequence data. Paired specific primer rpl20 F -rps12 R and atp F -rbcL R were used for amplification of non-coding area of mango DNA chloroplast and sequencing processes as well. All data were analyzed using Software MEGA 6. The result showed that total numbers and nucleotide base sequences varied among all accessions. All accessions were grouped in five different clusters that might be used as source of parental breeding.

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Chloroplast DNA polymorphisms as molecular markers to identify cultivars of Olea europaea L.

Cited by 25 publications

References 25 publications

Molecular Markers for Assessing Must Varietal Origin

Molecular Markers for Assessing Must Varietal Origin

In Silico chloroplast SSRs mining of Olea species

UTILIZATION OF cpDNA SEQUENCES TO IDENTIFY 15 MANGO ACCESSIONS

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