Marker-assisted selection strategies for developing resistant soybean plants to cyst nematode

Santana, Fernanda Abreu; Silva, Martha Freire da; Guimarães, Julierme Kellen Freitas; Ferreira, Márcia Flores da Silva; Pereira, Waldir Dias; Piovesan, Newton Deniz; Barros, Everaldo Gonçalves de

doi:10.1590/1984-70332014v14n3a27

Cited by 14 publications

(9 citation statements)

References 23 publications

(32 reference statements)

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“…Although constraints have limited the use of MAS in plant breeding programs in Brazil (Sakiyama et al 2014), use of molecular markers is effective for some traits, mainly in transfer of major genes (Santana et al 2014, Yamanaka et al 2013, Dimitrijević et al 2017. The use of backcrossing may be the best approach to transfer low linolenic acid and high oleic acid contents to elite cultivars.…”

Section: Resultsmentioning

confidence: 99%

Association of candidate genes for fatty acid content in soybean by temperature-switch PCR (TSP) genotyping

Bueno

God

Prata

et al. 2018

Crop Breed. Appl. Biotechnol.

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Section: Resultsmentioning

confidence: 99%

Association of candidate genes for fatty acid content in soybean by temperature-switch PCR (TSP) genotyping

Bueno

God

Prata

et al. 2018

Crop Breed. Appl. Biotechnol.

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“…The selection efficiency of the microsatellites, Sat_168, Satt309 and Sat_141, to the soybean cyst nematode was greater than 93% in selecting F 6:7 families from the cross between Vmax and CD201 (Santana et al. ). Therefore, MAS could also be a feasible strategy to breed soybean cultivars with higher VE activity by increasing the total VE or α‐Toc contents.…”

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confidence: 99%

Identification of the QTL underlying the vitamin E content of soybean seeds

Liu

Cao²,

Han

et al. 2017

Plant Breeding

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Vitamin E (VE) is an important antioxidant supplement for human health. Soybean seed extracts are the main source of VE supplements. Therefore, increasing the VE content of soybean seeds is important issue in breeding programmes. To detect quantitative trait loci (QTL) associated with VE in soybean seeds, 238 F6:7 recombinant inbred lines (RILs) were created by crossing a high VE cultivar, ‘Beifeng 9’, with a low VE cultivar, ‘Freeborn’. A genetic map was constructed using 218 polymorphic simple sequence repeat (SSR) markers. Composite interval mapping analysis detected 66 QTLs for contents of individual and total VE, 21 for α‐tocopherol, seventeen for γ‐tocopherol, thirteen for δ‐tocopherol and fifteen for total VE. The QTLs were located on chromosomes 9, 10, 15, 18 and 19. Phenotypic variance underlain by each QTL ranged from 2.4% to 32.6%. Two major QTLs (BARCSOYSSR_10_1140–BARCSOYSSR_10_1188 and BARCSOYSSR_15_0855 to BARCSOYSSR_15_0887) associated with α‐Toc, γ‐Toc, δ‐Toc and total VE contents were mapped on chromosomes 10 and 15. They explained 12.0% and 32.6% of phenotypic variance for α‐Toc; 5.5% and 13.0% for γ‐Toc; 6.6% and 23.6% for δ‐Toc; and 19.6% and 21.8% for total VE. QTL intervals BARCSOYSSR_15_0790–BARCSOYSSR_15_0855 (Qα15_1, Qγ15_1), BARCSOYSSR_15_1113–BARCSOYSSR_15_1159 (Qα15_3, Qδ15_2, QTVE15_4) and BARCSOYSSR_15_1159–BARCSOYSSR_15_1190 (Qα15_4, Qγ15_5, QTVE15_5) were associated with α‐Toc and explained 22.2%, 23.8% and 24.4% of the phenotypic variation in multiple environments. BARCSOYSSR_09_1098–BARCSOYSSR_09_1128 (QTVE9_1) and BARCSOYSSR_15_0887–BARCSOYSSR_15_0935 (QTVE15_2, Qγ15_3) associated with total VE content explained 21.8% and 16.4% of the phenotypic variation in two environments. These QTLs allow for marker‐assisted selection for cultivars with high VE contents.

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“…Cada amostra de DNA foi diluída em água para a concentração de 10 ng μL -1 . Os procedimentos de amplificação por reação em cadeia da polimerase (PCR) e eletroforese vertical foram realizados conforme Santana et al (2014) Trinta e nove pares de iniciadores de marcadores microssatélites, localizados em QTLs relacionados aos teores de proteína e óleo em soja, foram amplificados a partir das amostras de DNA dos 29 genótipos de soja com alto teor proteico (grupo 1). Os seguintes marcadores moleculares -dos grupos de ligação A1, B2, C1, C2, D1a, D2, E, F, I, K, L e M -foram analisados neste grupo de genótipos: Satt166; Satt127; Satt178; Satt567; Satt077; Satt567; Satt196; Satt239; Satt310; Satt301; Satt384; Satt281; Satt156; Satt496; Satt239; Satt251; Satt373; Satt460; Satt335; Satt539; Satt486; Satt570; Satt389; Satt571; Satt419; Satt270; Satt263; Satt151; Satt117; Satt445; Satt257; Satt173; Satt581; Satt476; Satt471; Satt286; Satt518; e Satt164.…”

Section: Methodsunclassified

Divergência em QTLs e variância genética para teores de proteína e óleo em soja

Rodrigues

Arruda

Cruz

et al. 2015

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi avaliar a relação entre os parâmetros de divergência em regiões de QTLs e a variância genética em genótipos de soja, quanto aos teores de proteína e óleo nos grãos. Dois grupos de genótipos foram avaliados, em diferentes ambientes, quanto aos teores de proteína e óleo e genotipados com marcadores moleculares de regiões de QTLs. A partir de cada grupo, estabeleceram-se subgrupos por critérios pré-definidos e avaliou-se a relação entre os parâmetros, tendo-se comparado a divergência média e a variância genética entre os subgrupos. Os subgrupos foram definidos com base nos critérios de diferença em divergência média, homogeneidade e heterogeneidade nos subgrupos e proximidade em uma projeção tridimensional da matriz de distância. As percentagens de concordância entre maiores valores de divergência média e de variância genética para o total de subgrupos de cada grupo inicial foram de 72,5 e de 73,4%, respectivamente. Portanto, nestes genótipos, há relação positiva entre as estimativas de divergência em regiões de QTL e variância genética para os teores de proteína e de óleo dos grãos. As distâncias genéticas com base nos marcadores moleculares de regiões de QTLs são eficientes para a predição da variabilidade genética em genótipos de soja para os teores de proteína e de óleo dos grãos.Termos para indexação: Glycine max, distância genética, marcadores moleculares, variabilidade genética. Divergence on QTLs and genetic variance for protein and oil contents in soybeanAbstract -The objective of this work was to evaluate the relationship between the parameters of divergence on QTL regions and the genetic variance in soybean genotypes for protein and oil contents. Two groups of genotypes were evaluated for protein and oil contents in different environments, and genotyped with molecular markers of QTL regions. Subgroups were established by predefined criteria from each group, and the relationship between the parameters was evaluated by comparing mean divergence and genetic variance between the subgroups. The subgroups were defined based on the criteria of difference of mean divergence, homogeneity and heterogeneity in the subgroups, and proximity in a three-dimensional projection of the distance matrix. Percentage agreement between the greater values for mean divergence and genetic divergence for the subgroup total of each initial group was 72.5 and 73.4%, respectively. Therefore, there is a positive relationship between the estimates on QTL regions and genetic variance for protein and oil contents in grains in these genotypes. The genetic distances based on molecular markers of QTL regions are efficient to predict the genetic variability in soybean genotypes, for protein and oil contents.

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Marker-assisted selection strategies for developing resistant soybean plants to cyst nematode

Cited by 14 publications

References 23 publications

Association of candidate genes for fatty acid content in soybean by temperature-switch PCR (TSP) genotyping

Association of candidate genes for fatty acid content in soybean by temperature-switch PCR (TSP) genotyping

Identification of the QTL underlying the vitamin E content of soybean seeds

Divergência em QTLs e variância genética para teores de proteína e óleo em soja

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