Genetic mapping of seed shape in three populations of recombinant inbred lines of soybean (Glycine max L. Merr.)

Salas, Pilar Carrasco; Oyarzo-Llaipen, J. C.; Wang, D.; Chase, Kevin; Mansur, L. M.

doi:10.1007/s00122-006-0392-1

Cited by 67 publications

(97 citation statements)

References 22 publications

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“…A2-2, uq.A2-3, uq.C1-1, uq.C2-1, uq.C2-3, uq.F-1, uq.L-1 and uq.L-2), which were responsible for two to four traits. These pleiotropic unique QTL may be caused by several tightly linked trait-specific genes or genes that affected several traits (Salas et al 2006;Breitling et al 2008). It should be stated that the mapping resolution here was insufficient to distinguish between pleiotropy and linkage as the basis underlying these pleiotropic unique QTL, therefore the development of NIL for several major QTL would be a feasible way to answer this question, and also for map-based gene cloning (Rae et al 2009).…”

Section: Discussionmentioning

confidence: 94%

Quantitative trait loci analysis of stem strength and related traits in soybean

et al. 2011

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Stem strength is one of the major influencing factors of lodging in soybean [Glycine max (L.) Merr.] as well as other crops. To identify quantitative trait loci (QTL) associated with stem strength and related traits in soybean, a recombinant inbred line (RIL) population consisting of 165 lines derived from Zhongdou No. 29 9 Zhongdou No. 32 was used in 3 years. Significant positive correlations were found among the four traits (stem strength, stem diameter, number of nodes, root dry weight). A linkage map spanning 1,240.7 cM was constructed using 245 SSR (simple sequence repeat) markers and a phenotypic marker (leaflet shape). By composite interval mapping and two-round strategy of QTL meta-analysis, 32 consensus QTL and 19 unique QTL were identified, respectively. Of eight pleiotropic unique QTL, two QTL (uq.A2-2 and uq.A2-3) located at the intervals of 23.2-26.8 and 38.5-42.4 cM on linkage group A2, respectively, were associated with all the four traits. Additive 9 environment (ae) interaction effects, epistasis (aa) and epistasis 9 environment (aae) interaction effects of QTL were detected as well. The results provide useful information for further genetic studies on stem strength of soybean.

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Section: Discussionmentioning

confidence: 94%

Quantitative trait loci analysis of stem strength and related traits in soybean

et al. 2011

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“…In total, 50 QTLs contained candidate loci in their mapping intervals. QTLs related to yield, plant height, maturity, protein content and seed characteristics, such as length, volume, height and width, were mapped directly to the region of marker Satt567 (Specht et al 2001;Wang et al 2004;Salas et al 2006). The QTLs associated with seed characteristics were also found in the proximity of marker Satt234 (Salas et al 2006).…”

Section: Interpretation Of Candidate Locimentioning

confidence: 99%

“…QTLs related to yield, plant height, maturity, protein content and seed characteristics, such as length, volume, height and width, were mapped directly to the region of marker Satt567 (Specht et al 2001;Wang et al 2004;Salas et al 2006). The QTLs associated with seed characteristics were also found in the proximity of marker Satt234 (Salas et al 2006). Several QTLs affecting yield, days to flowering and maturity were mapped to the region of Satt557 on the chromosome 6 (Specht et al 2001;Githiri et al 2007;Guzman et al 2007).…”

Section: Interpretation Of Candidate Locimentioning

confidence: 99%

“…The identification of genes/ QTLs underlying phenotypic variation in soybean (Glycine max (L.) Merr.) has been based mostly on biparental linkage mapping (Salas et al 2006;Githiri et al 2007;Guzman et al 2007) and association mapping (Hu et al 2014;Wen et al 2014) approaches. To make association between phenotypic differences and the variability at molecular level more precise, these methods require a high level of segregating genetic and phenotypic variation at the genes of Electronic supplementary material The online version of this article (doi:10.1007/s10681-014-1313-z) contains supplementary material, which is available to authorized users.…”

Section: Introductionmentioning

confidence: 99%

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Tracking footprints of selection associated with soybean adaptation to Central-East Europe environments

et al. 2014

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The identification of genomic regions affected by phenotypic selection during breeding is important for elucidating the genetic basis of complex traits underlying adaptation to a specific target environment. This study investigated the soybean (Glycine max (L.) Merr.) adaptation in Central-East European environments by a hitchhiking mapping approach and pedigree analysis. Population genetic principles were applied to microsatellite markers using multiple outlier detection tests. The analyzed populations comprised ancestral and elite varieties. Genetic diversity parameters showed significant differences between the populations. Eight markers were considered as strong positive selection candidate loci, indicating regions involved in the adaptation. Bottleneck tests provided no evidence of population bottlenecks for the candidate positive selection loci, suggesting that selection might shaped the pattern of genetic diversity in these regions. Co-localisation of the candidate positive selection loci and previously mapped quantitative trait loci (QTLs) revealed a high level of agreement between the identified QTLs and the traits expected to be under selection during soybean breeding. The identification and differentiation of selectively important QTLs have practical importance for future breeding programs, aiming at developing varieties for a specific target environment.

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“…Nineteen QTLs underlying seed length and 14 QTLs underlying seed width were identified using 3 sets of recombinant lines: Minsoy x Archer, Minsoy x Noirl, and Noirl x Archer (Salas et al, 2006). Genetic analysis of the soybean seed trait revealed that seed length and seed width of the hybrid F 1 of a reciprocal cross were significantly different, suggesting the existence of a maternal inheritable effect.…”

Section: Introductionmentioning

confidence: 99%

Quantative trait loci of seed traits for soybean in multiple environments

Ma¹,

Ding²,

Liu³

et al. 2014

Genet. Mol. Res.

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ABSTRACT. Seed length and seed width are an important factor to the soybean yield. So the quantitative trait loci (QTL) location for seed length and seed width could assistant the breeding of soybean. In this study, the QTL underlying seed length and seed width were studied. A recombinant inbred line population of soybeans derived from a cross between the American semi-draft cultivars Charleston and Dongnong 594 were used in 7 environments. The quantitative trait loci underlying seed length, seed width, and seed length/seed width were analyzed by the method of composite interval mapping. Then, the epistatic effects and the QTL-environment (QE) interaction effects were also analyzed. Some valuable QTL sites found had great Quantitative trait loci of soybean seeds in multiple environments effect to the seed trait. Results showed that 7 QTLs underlying seed length were identified mainly on linkage groups D1a, C2, B1, A1, G, and A2. For the seed width, 7 QTLs were identified on linkage groups D1a and O. Two QTLs of seed length/seed width were identified on linkage groups D1b and C2. No QE interaction was found for QTLs of seed length and seed width in 7 environments. QTLs of seed length/seed width on linkage groups A1 and I had a QE interaction in 7 environments. Seven pairs of QTLs were identified that affected additive x additive epistatic effect of seed length, seed width, and seed length/seed width, which occurred among 8 linkage groups. These results supply a good foundation for molecular assistant breeding for soybean seed trait.

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Genetic mapping of seed shape in three populations of recombinant inbred lines of soybean (Glycine max L. Merr.)

Cited by 67 publications

References 22 publications

Quantitative trait loci analysis of stem strength and related traits in soybean

Quantitative trait loci analysis of stem strength and related traits in soybean

Tracking footprints of selection associated with soybean adaptation to Central-East Europe environments

Quantative trait loci of seed traits for soybean in multiple environments

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