Caracterização molecular de cultivares de pessegueiro e nectarineira com microssatélites

Bianchi, Valmor João; Fachinello, José Carlos; Schuch, Márcia Wulff; Sansavini, S.

doi:10.1590/s0100-29452004000300028

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…Similar results were found by Bianchi et al . () in an analysis of the genetic relationships of peach and nectarine genotypes that used 13 microsatellite primers to detect a total of 56 alleles, ranging from three to seven per primer.…”

Section: Discussionmentioning

confidence: 99%

Microsatellite markers of genetic diversity and population structure of Carica papaya

Matos

Oliveira

Jesus

et al. 2013

Annals of Applied Biology

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We assessed the genetic diversity of 96 papaya accessions by molecular characterisation using microsatellite markers. Fifteen polymorphic primers were selected. Accessions, which were classified as Common, Formosa and Solo according to fruit types, were evaluated for allele frequency, heterozygosity, polymorphism information content (PIC), inbreeding coefficient (f ) and the genetic diversity structure. Fifteen primers amplified 68 alleles with an average of 4.53 per locus. PIC values ranged from 0.19 to 0.69. The observed heterozygosity (H O ) was low for all selected microsatellites. High f estimates (0.58) and excess of homozygotes indicated inbreeding, mainly caused by the tendency to select hermaphrodite plants for succeeding generations. Analysis of molecular variance showed that most of the variation (98%) resides within subpopulation. The genetic analysis based on Bayesian statistics proved to be sensitive enough to detect relationships among the papaya accessions, grouping them into six clusters, irrespective of their classification types.

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Section: Discussionmentioning

confidence: 99%

Microsatellite markers of genetic diversity and population structure of Carica papaya

Matos

Oliveira

Jesus

et al. 2013

Annals of Applied Biology

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“…The cultivars identification using RAPD markers were well documented in studies of molecular characterization [15]. Fingerprinting based on RAPD marker type was used for identification and characterization of potato cultivars in North America [16]. The genetic distance among the eight potato varieties are presented in Table 2.…”

Section: Resultsmentioning

confidence: 99%

Molecular Diversity Analysis of Indigenous Potato Cultivars Using RAPD Markers

Naznin

Haque

Rahman³

et al. 2020

AJBGMB

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The study was undertaken to identify genotypic diversity at molecular level of potato for varietal improvement program at the Advanced Plant Breeding Laboratory, Department of Genetics and Plant Breeding, Bongobondhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, Bangladesh. Eight cultivars of potato viz. Lalpakri, Sindurkouta, Indurkani, Ausha, Patnai, Sadaguti, Shilbilati, Challisha were collected from Bangladesh Agricultural Research Institute (BARI), for studying genotyping divergence. Genomic DNA was extracted from young leaves of the cultivars and PCR reaction was performed. The PCR amplified DNA profile was visualized on agarose gel, staining with ethidium bromide. Three RAPD primers named OPA 01, OPA 03 and OPD 18 were used to evaluate the genetic diversity of potato varieties. All the primers were polymorphic and the primers produced the highest number of alleles. The genetic diversity value in Lalpakri with all cultivars except Sadaguti was found to have the highest genetic distance (1.0). The amount of genetic diversity within potato germplasm is quite distinct as revealed by the genetic similarity coefficients. The results indicate that, high level of genetic distance exists among the cultivars. The Primers OPA 01, OPA 03 and OPD 18 showed the highest level of genetic diversity and PIC value while the Lalpakri and Sadaguti cultivars had the highest genetic distance among other cultivars which could be used for further potato breeding program.

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“…Embora no Brasil o registro de cultivares não exija caracterização molecular, em outros países com sistemas de certificação de material vegetal consolidados, as técnicas moleculares têm permitido elaborar um tipo de impressão digital molecular da planta ("fingerprinting" varietal), o que facilita o controle de qualidade em qualquer etapa do processo produtivo (Bianchi et al, 2004a;Wickert et al, 2007). Bianchi et al (2004b) verificaram problemas de identificação inter e intravarietal de porta-enxertos de pessegueiro [Prunus persica (L.) Batsch], no Banco de Germoplasma da Universidade Federal de Pelotas (UFPel), o que reforça a necessidade de comprovação da origem genética do material presente nesses bancos.…”

Section: Introductionunclassified

Caracterização molecular e variabilidade genética entre porta-enxertos de pessegueiro com base em marcadores codominantes

Paula

Bianchi²,

Fachinello

2012

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi estabelecer um padrão para a caracterização molecular e a diferenciação de porta-enxertos de pessegueiro, bem como estimar parâmetros de variabilidade genética com base em marcadores codominantes. Catorze genótipos foram avaliados com uso de iniciadores para locos microssatélites das séries BPPCT e UDP, e para locos STS e SCAR. O perfil eletroforético foi registrado quanto à presença ou à ausência de bandas, as quais foram usadas para calcular a similaridade genética entre cultivares, por meio do coeficiente "simple matching", e para a análise de agrupamento de cultivares, pelo método das médias aritméticas não ponderadas (UPGMA). Foram calculados: número de alelos por loco, frequências alélicas, heterozigosidade esperada e observada, endogamia e conteúdo de informação polimórfica (PIC). Os 18 locos avaliados produziram 82 polimorfismos e permitiram elaborar um dendrograma que discriminou os genótipos em três grupos principais. A heterozigosidade esperada e observada nos 18 locos SSR foi de 0,66 e 0,22, respectivamente. Valores máximos para endogamia (1,0) foram identificados nos locos UDP 98407, UDP 98412, BPPCT 034, BPPCT 016, SCAR-SCAL 19 e STS OPAP4. O PIC variou de 0,81, para SCAR-SCAL 19, a 0,46, para UDP 98407. O polimorfismo dos 18 marcadores possibilita obter acurada relação genética entre os genótipos de pessegueiro avaliados e identificar os mais contrastantes para uso em programas de melhoramento. Termos de indexação: Prunus persica, distância genética, frequência alélica, genética molecular, seleção de parentais. Molecular characterization and genetic variability among peach rootstocks based on codominant markersAbstract -The objective of this work was to establish a standard for molecular characterization and differentiation of peach rootstocks, as well to estimate genetic variability parameters based on codominant markers. Fourteen genotypes were evaluated using primers for microsatellite loci from the BPPCT and UDP series and for the STS and SCAR loci. The electrophoretic profile was recorded for the presence or absence of bands, which were used to calculate the genetic similarity among cultivars by the simple matching coefficient, and to perform cluster analysis by the unweighted arithmetic average (UPGMA) method. The number of alleles per locus, allele frequencies, observed and expected heterozygosity, inbreeding, and polymorphic information content (PIC) were calculated. The 18 loci produced 82 polymorphisms, allowing for the elaboration of a dendrogram, which discriminated the genotypes into three main groups. Observed and expected heterozygosity in the 18 SSR loci were 0.66 and 0.22, respectively. Maximum values for inbreeding (1.0) were identified in loci UDP 98407, UDP 98412, BPPCT 034, BPPCT 016, SCAR-SCAL 19, and STS OPAP4. PIC ranged from 0.81 for SCAR-SCAL 19, to 0.46 for UDP 98407. The polymorphism of the 18 markers allows for an accurate genetic relationship among the evaluated peach genotypes and the identification of the more contrasting ones f...

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Caracterização molecular de cultivares de pessegueiro e nectarineira com microssatélites

Cited by 4 publications

References 3 publications

Microsatellite markers of genetic diversity and population structure of Carica papaya

Microsatellite markers of genetic diversity and population structure of Carica papaya

Molecular Diversity Analysis of Indigenous Potato Cultivars Using RAPD Markers

Caracterização molecular e variabilidade genética entre porta-enxertos de pessegueiro com base em marcadores codominantes

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