Assessment of the Variability of Venezuelan Guava Landraces by Microsatellites

Aranguren, Yani; Briceño, Alexis; Fermín, Gustavo

doi:10.17660/actahortic.2010.849.16

Cited by 19 publications

(14 citation statements)

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“…The largest number of genotypes was observed with microsatellite mPgCIR256, whereas the largest diversity of alleles was observed with microsatellite mPgCIR253 (Table 3); this finding is different from that reported by Aranguren et al (2010), who used the same microsatellite set and found the largest diversity in microsatellite mPgCIR255.…”

Section: Resultscontrasting

confidence: 82%

“…Aranguren et al (2010) studied the accession variability of 31 Venezuelan guava and reported that all 16 microsatellite loci were polymorphic. This reduction in the number of SSRs to detect polymorphisms can be used because, in the present study, these microsatellites were used for a joint evaluation of guava and araçazeiro belonging to P. guineense, P. cattleianum, and P. friedrichsthalianum species.…”

Section: Resultsmentioning

confidence: 99%

“…The authors used 7 microsatellite loci that generated 34 different alleles, of which 10 were considered to be rare. Aranguren et al (2010) identified a high diversity in 31 Venezuelan guava accessions when genotyped with 16 microsatellite loci. Sánchez-Teyer et al (2010) reported a similarity of 0.64 to 0.97 in 57 Mexican guava accessions genotyped with 6 microsatellite loci.…”

Section: Introductionmentioning

confidence: 98%

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Allelic database and divergence among Psidium accessions by using microsatellite markers

Costa¹,

Santos²

2013

Genet. Mol. Res.

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ABSTRACT. This study aimed to investigate the genetic variability among guava accessions and wild Psidium species of the Embrapa Semiárido germplasm collection by using microsatellite loci to guide genetic resources and breeding programs, emphasizing crosses between guava and other Psidium species. DNA was extracted using the 2X CTAB method, and polymerase chain reaction products were analyzed on 6% denatured polyacrylamide gels stained with silver nitrate. The unweighted pair-group method using arithmetic average dendrogram generated from the distance matrix of the Jaccard coefficient for 183 alleles of 13 microsatellite loci was used for visualization of genetic similarity. The number of base pairs was estimated using inverse mobility method based on the regression of known-size products. Analysis of molecular variance was performed using total decomposition between and within guava accessions. The accessions showed similarity from 0.75 to 1.00, with the dendrogram presenting cophenetic value of 0.85. Five groups were observed: the first included guava accessions; the second, P. guineense accessions; the third, one accession of P. friedrichsthalianum; and the last 2 groups, P. cattleianum. The genetic similarity among P. SSR Psidium allelic database and accession divergence guineense and some guava accessions were above 80%, suggesting greater possibility to obtain interspecies hybrids between these 2 species. The genetic variability between the accessions was considered to be high (Φ ST = 0.238), indicating that guava genetic variability is not uniformly distributed among the 9 Brazilian states from where the accession were obtained. Obtaining a greater number of accessions by Brazilian states is recommended in order to have greater diversity among the species.

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Section: Resultscontrasting

confidence: 82%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

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Allelic database and divergence among Psidium accessions by using microsatellite markers

Costa¹,

Santos²

2013

Genet. Mol. Res.

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“…2373 Risterucci et al, 2005;Aranguren et al, 2010;PadillaRamírez and González-Gaona, 2010;Valdés-Infante et al, 2010). However, the perspective remains open for development of molecular markers for detecting more polymorphisms and variability among Psidium guava accessions.…”

Section: Introductionmentioning

confidence: 99%

Application of sequence specific amplified polymorphism (SSAP) and simple sequence repeat (SSR) markers for variability and molecular assisted selection (MAS) studies of the Mexican guava

Campos-Rivero¹,

Cazares-Sanchez²,

Tamayo‐Ordóñez³

et al. 2017

Afr. J. Agric. Res.

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Molecular markers have proven to be powerful tools in research related with diversity, variability, and improvement of economically important tropical crops. This study analyzed eight physiological and morphological fruit characters of economic interest in the cultivated Mexican guava (Psidium guajava L.), and assessed the suitability of two sequence specific amplified polymorphism (SSAP) and simple sequence repeat (SSR) markers developed for their use in early selection of individual plants with given fruit characteristics. Principal component analysis (PCA) explained 79% of the morphological variability observed among accessions. S-SAP was more informative than AFLP for studies of variability and diversity in guava, the former marker showing higher percentage of polymorphism (90%) and more intraspecific variability (0.58). It was analyzed by cluster analysis using the unweighted pair group with arithmetic means (UPGMA) method the relationships between accessions from nine guava varieties. S-SAP dendrograms clustered varieties in better agreement with pulp color and fruit shape, suggesting a possible association of the S-SAP marker with quantitative trait loci (QTL) related to fruit physiological and morphological fruit characters. According to results, the microsatellites mPgCIR131, mPgCIR136 and mPgCIR161 might also be linked to QTL related to internal and external pulp thickness, pulp color, and soluble solids, indicating that the SSR markers developed are appropriate for their use in early selection of guava individuals having specific fruit features, therefore being suitable for molecular marker assisted selection (MAS) of the crop.

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“…These SSR markers have been exploited for the improvement of the guava breeding program by involving in the molecular characterization and genetic diversity assessment of guava germplasm resources (Nimisha et al, 2013). SSR markers from guava were developed by Risterucci et al (2005Risterucci et al ( , 2010 and were applied in germplasm characterization and assessing the existing genetic variability (Risterucci et al, 2005;Valdés-Infante et al, 2007;Viji et al, 2010;Aranguren et al, 2010;Santos et al, 2011;Coser et al, 2012;Noia et al, 2012;José et al, 2012;Angelica et al, 2012). Additionally SSR markers were used for cultivar identification (Kanupriya et al, 2011), discrimination of wild guava species (Nogueira et al, 2012), and assessing the genetic homogeneity of guava plants derived from somatic embryogenesis (Rai et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Development of SRAP and SSR marker-based genetic linkage maps of guava (Psidium guajava L.)

Padmakar

Kanupriya

Latha

et al. 2015

Scientia Horticulturae

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Assessment of the Variability of Venezuelan Guava Landraces by Microsatellites

Cited by 19 publications

References 0 publications

Allelic database and divergence among Psidium accessions by using microsatellite markers

Allelic database and divergence among Psidium accessions by using microsatellite markers

Application of sequence specific amplified polymorphism (SSAP) and simple sequence repeat (SSR) markers for variability and molecular assisted selection (MAS) studies of the Mexican guava

Development of SRAP and SSR marker-based genetic linkage maps of guava (Psidium guajava L.)

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