Evaluation of the genetic diversity of Asian peach accessions using a selected set of SSR markers

Xie, Rui; Li, Xiongwei; Chai, Mingliang; Song, Lijuan; Jia, Huijuan; DaJun, Wu; Chen, Miaojin; KeMing, Chen; Aranzana, María José

doi:10.1016/j.scienta.2010.05.015

Cited by 42 publications

(28 citation statements)

References 23 publications

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“…Peach and nectarine cultivars for the fresh market comprise only one species, P. persica, and they are genetically much less variable than other crops such as apples and pears (Westwood 1993). Even using molecular techniques, low levels of polymorphism among peach cultivars were reported (Scorza et al 1985;Xie et al 2010). On the other hand, differences between Eastern and Western cultivars in several phenotypic traits were found in this study such as blooming date, fruit shape, and fruit acidity.…”

Section: Discussionmentioning

confidence: 99%

Profiling diversity and comparison of Eastern and Western cultivars of Prunus persica based on phenotypic traits

et al. 2015

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Peach and nectarine cultivars have been released worldwide according to regional preference and local adaptability. However, few reports have provided statistical analyses and comprehensive comparisons of Eastern and Western cultivars. In this study, 22 phenotypic characteristics of 120 peach and nectarine cultivars collected from various countries were examined to determine their diversity and relationships. Based on phenological traits, Western cultivars bloomed earlier than Eastern cultivars, with no difference in ripening time. Fruit shape of Eastern cultivars was close to oblate, while fruit weights were similar. In addition, higher soluble solids concentration (SSC) and lower titratable acidity were observed in Eastern cultivars. In health benefit traits, such as total flavonoid concentration, total phenol concentration, and antioxidant capacity, there was no difference between Eastern and Western type. Positive correlation between chilling unit (CU) and latitude of origin was also found. In addition, the CU was closely associated with flowering date. Relationships among the phenotypic characteristics were also found. Ripening date showed significant and positive correlations with fruit development period, fruit weight, and SSC. In general, cultivars with late ripening times tend to produce high-quality fruit with a sweet taste and large size. The evaluation of a large number of cultivars from various regions with phenotypic variability could provide valuable information on regional preference or local adaptability.

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Section: Discussionmentioning

confidence: 99%

Profiling diversity and comparison of Eastern and Western cultivars of Prunus persica based on phenotypic traits

et al. 2015

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“…Compared with many other crops (Xie et al 2010;Huang et al 2009;Ebana et al 2008;Federico et al 2008), watermelon genome-wide SSRs are limited. However, this situation is changing rapidly due to technology development, especially in whole plant genome sequencing.…”

Section: Introductionmentioning

confidence: 99%

Identification and validation of a core set of microsatellite markers for genetic diversity analysis in watermelon, Citrullus lanatus Thunb. Matsum. & Nakai

et al. 2011

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Watermelon, Citrullus lanatus Thunb. Matsum. & Nakai is an important vegetable crop worldwide. Due to its narrow genetic base, detection and utilization of the genetic variations, cultivar identification and increasing genetic diversity are some important tasks for watermelon breeders. Molecular markers, especially microsatellites or simple sequence repeats (SSRs) are playing increasingly important roles for these purposes. In the present study, a core set of 23 highly informative SSR markers was developed for watermelon genetic diversity analysis. Based on whole genome sequencing of 17 watermelon inbred lines, we identified 3.9 million single nucleotide polymorphisms (SNPs) which were used to construct a SNP-based dendrogram for the 17 lines. Meanwhile, from the sequenced genome, 13,744 SSRs were developed, of which 704 were placed on a high-resolution watermelon linkage map. To develop the core set SSR markers, 78 of the 704 mapped SSRs were selected as the candidate markers. Using the SNPbased dendrogram as calibration, 23 SSR markers evenly distributed across the genome were identified as the core marker set for watermelon genetic diversity analysis. Each marker was able to detect 2-7 alleles with polymorphism information content values ranging from 0.45 to 0.82. The dendrograms of 17 watermelon lines based on SNPs, the base set of 78 SSRs and the core set of 23 SSRs were highly consistent. The utility of this core set SSRs was demonstrated in 100 commercial watermelon cultivars and elite lines, which could be placed into six clusters that were largely consistent with previous classification based on morphology and parentage data. This core set of SSR markers should be very useful for genotyping and genetic variation analysis in watermelon.

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“…SSR markers have a number of advantages, such as the high level of polymorphisms, locus specificity, co-dominance, reproducibility, convenience through using PCR, and random distribution throughout the genome (Powell et al, 1997). As such, they have become a popular marker system in rice, wheat, almond, peach, and apple (Jain et al, 2004;Khlestkina et al, 2004;Xie et al, 2010;Garkava-Gustavsson et al, 2013). ISSR markers use primers based on di-, tetra-, or pentanucleotide sequence repeats and anchored nucleotides.…”

Section: Introductionmentioning

confidence: 99%

Genetic diversity analysis of sweet kernel apricot in China based on SSR and ISSR markers

et al. 2015

Genet. Mol. Res.

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ABSTRACT. Simple sequence repeat (SSR) and inter-simple sequence repeat (ISSR) markers were used to evaluate genetic diversity among 22 sweet kernel apricot accessions and 12 cultivars in China to provide information on how to improve the utilization of kernel apricot germplasms. The results showed that 10 pairs of SSR primers screened from 40 primer pairs amplified 43 allelic variants, all of which were polymorphic (100%), and 9 ISSR primers selected from 100 primers amplified 67 allelic variants with 50 polymorphic bands (74.63%). There was a relatively distant genetic relationship between the 34 samples, where their genetic similarity coefficient was between 0.62 and 0.99. The UPGMA dendrogram constructed using combined data of the two marker systems separated the genotypes into three main clusters.

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Evaluation of the genetic diversity of Asian peach accessions using a selected set of SSR markers

Cited by 42 publications

References 23 publications

Profiling diversity and comparison of Eastern and Western cultivars of Prunus persica based on phenotypic traits

Profiling diversity and comparison of Eastern and Western cultivars of Prunus persica based on phenotypic traits

Identification and validation of a core set of microsatellite markers for genetic diversity analysis in watermelon, Citrullus lanatus Thunb. Matsum. & Nakai

Genetic diversity analysis of sweet kernel apricot in China based on SSR and ISSR markers

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