Microsatellite diversity of soybean genotypes differing in bean pod mottle virus leaf symptom

Mian, M. A. Rouf; Kang, Sung-Taeg; Redinbaugh, Margaret G.

doi:10.4141/cjps08046

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…The values of polymorphism information content which estimate the informativeness of each locus ranged from 0.1 to 0.75 and had average equal to 0.44. These results are close to the values reported by Mian, Sung-Taeg &Margaret (2009), andMulato, Möller, Zucchi, Quecini &, when assessing microsatellite markers in elite varieties and accessions of soybean germplasm.…”

Section: Discussionsupporting

confidence: 90%

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et al. 2017

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Pre-mejoramiento vegetal para el volumen incrementado de proteína en soya Glycine max (L. ) AbstractThe aim of this research were to determine protein content and genetic divergence of soybean genotypes in QTL regions of the trait grain protein content for plant breeding purposes. Twenty-nine soybean genotypes were grown in the field in four environments (Viçosa-MG Dec/2009, Visconde do Rio Branco-MG Feb/2010, São Gotardo-MG Feb/2010, and São Gotardo-MG Oct/2011) using the randomized block design with three replicates. The grain protein content was quantified by the infrared spectrometry method. The genetic divergence was estimated by the analysis of 39 microsatellite markers from QTL regions for the soybean grain protein content. The pairs of genotypes with greater genetic distances and protein contents were as follows: BARC-8/CS3032PTA276-3-4 (D=0.71) (45.18%/44.31%); BARC-8/CS3032PTA276-1-2 (D=0.71) (45.18%/43.75%); BARC-8/CS3032PTA190-5-1 (D=0.71) (45.18%/43.63%); B3PTA382-2-10/CS3032PTA276-3-4 (D=0.62) (43.80%/44.31%); CS3032PTA276-1-2/ B3PTA382-2-10 (D=0.62) (43.75%/43.80%); B3PTA382-2-10/CS3032PTA190-5-1 (D=0.62) (43.80%/43.63%); B3PTA216-1-9/CS3032PTA276-3-4 (D=0.61) (43.48%/44.31%); and B3PTA216-1-9/CS3032PTA276-1-2 (D=0.61) (43.48%/43.75%), respectively. Other promising combinations for the improvement of protein content were as follows: BR8014887/CS3032PTA190-5-1 (D=0.57) (44.71%/43.63%); BARC-8/CS3032PTA182 (D=0.78) (45.18%/41.84%); BR8014887/CS3032PTA182 (D=0.65) (44.71%/41.84%); BR8014887/PI417360 (D=0.76) (44.71%/41.01%), respectively; and PI417360/B3PTA216-1-9 (D=0.80) (41.01%/43.48%). These pairs of genotypes when crossed should produce populations with higher means and genetic variances and greater gains with selection.

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confidence: 90%

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“…The PIC ranged from 0.39 (Satt045) to 0.67 (Satt079), with an average of 0.56 (Tables 2 and 3). Several authors have used microsatellite markers to characterize soybean genotypes with different goals: wide genome genotyping (Sayama et al, 2011), genetic diversity for different traits (Mian et al, 2009;Singh et al, 2010), and germplasm characterization (Wang et al, 2008;Mulato et al, 2010). In these studies, the number of alleles per marker and PIC values ranged from 3 to 18 and from 0.507 to 0.815, respectively.…”

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confidence: 99%

Molecular characterization of soybean cultivars by microsatellite markers with universal tail sequence

Ribeiro

Tanure

Maciel

et al. 2013

Pesq. agropec. bras.

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-The objective of this work was to standardize a semiautomated method for genotyping soybean, based on universal tail sequence primers (UTSP), and to compare it with the conventional genotyping method that uses electrophoresis in polyacrylamide gels. Thirty soybean cultivars were genotypically characterized by both methods, using 13 microsatellite loci. For the UTSP method, the number of alleles (NA) was 50 (2-7 per marker) and the polymorphic information content (PIC) ranged from 0.40 to 0.74. For the conventional method, the NA was 38 (2-5 per marker) and the PIC varied from 0.39 to 0.67. The genetic dissimilarity matrices obtained by the two methods were highly correlated with each other (0.8026), and the formed groups were coherent with the phenotypic data used for varietal registration. The 13 markers allowed the distinction of all analyzed cultivars. The low cost of the UTSP method, associated with its high accuracy, makes it ideal for the characterization of soybean cultivars and for the determination of genetic purity.Index terms: Glycine max, cultivar protection, genetic diversity, genotyping method, random identity probability. Caracterização molecular de cultivares de soja por meio de marcadores microssatélites com sequência de cauda universalResumo -O objetivo deste trabalho foi padronizar um método semi-automatizado para genotipagem de soja, baseado na metodologia de iniciadores com sequências de cauda universal (PSCU), e compará-lo ao método de genotipagem convencional de eletroforese em gel de poliacrilamida. Trinta cultivares de soja foram caracterizadas genotipicamente por ambos os métodos, com o uso de 13 locos microssatélites. Para o método PSCU, o número de alelos (NA) foi de 50 (2-7 por marcador) e o conteúdo de informação polimórfica (PIC) variou de 0,40 a 0,74. Para o método convencional, o NA foi de 38 (2-5 por marcador) e o PIC variou de 0,39 a 0,67. As matrizes de dissimilaridade genética obtidas pelos dois métodos apresentaram alta correlação entre si (0,8026), e os grupos formados foram coerentes com dados fenotípicos utilizados para o registro varietal. Os 13 marcadores permitiram a distinção de todas as cultivares analisadas. O baixo custo do método PSCU, associado a sua alta acurácia, torna-o ideal para a caracterização de cultivares de soja e a determinação de pureza genética.Termos para indexação: Glycine max, proteção de cultivar, diversidade genética, método de genotipagem, probabilidade de identidade ao acaso.

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Microsatellite diversity of soybean genotypes differing in bean pod mottle virus leaf symptom

Cited by 2 publications

References 18 publications

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Molecular characterization of soybean cultivars by microsatellite markers with universal tail sequence

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