Genetics of Protein and Oil Content in Summer Rape: Heritability, Number of Effective Factors, and Correlations

Grami, Bahram; Stefansson, B. R.; Baker, Robert J.

doi:10.4141/cjps77-134

Cited by 73 publications

(44 citation statements)

References 14 publications

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“…Grami et al [44] also established that seed oil content is negatively correlated with protein content; therefore, increasing the oil fraction of the seed would naturally enhance the oil:protein ratio and, according to our model, potentially help increase yields independently of changing architectural traits, although the mechanism by which this conversion occurs is presently not clear. A recent study using Arabidopsis populations established that seed carbon and N content were antagonistic and that % N was negatively correlated with yield [45], as it is in the present study.…”

Section: Increasing Seed Oil:protein Ratiomentioning

confidence: 57%

Development of a Statistical Crop Model to Explain the Relationship between Seed Yield and Phenotypic Diversity within the Brassica napus Genepool

et al. 2017

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Plants are extremely versatile organisms that respond to the environment in which they find themselves, but a large part of their development is under genetic regulation. The links between developmental parameters and yield are poorly understood in oilseed rape; understanding this relationship will help growers to predict their yields more accurately and breeders to focus on traits that may lead to yield improvements. To determine the relationship between seed yield and other agronomic traits, we investigated the natural variation that already exists with regards to resource allocation in 37 lines of the crop species Brassica napus. Over 130 different traits were assessed; they included seed yield parameters, seed composition, leaf mineral analysis, rates of pod and leaf senescence and plant architecture traits. A stepwise regression analysis was used to model statistically the measured traits with seed yield per plant. Above-ground biomass and protein content together accounted for 94.36% of the recorded variation. The primary raceme area, which was highly correlated with yield parameters (0.65), provides an early indicator of potential yield. The pod and leaf photosynthetic and senescence parameters measured had only a limited influence on seed yield and were not correlated with each other, indicating that reproductive development is not necessarily driving the senescence process within field-grown B. napus. Assessing the diversity that exists within the B. napus gene pool has highlighted architectural, seed and mineral composition traits that should be targeted in breeding programmes through the development of linked markers to improve crop yields.

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Section: Increasing Seed Oil:protein Ratiomentioning

confidence: 57%

Development of a Statistical Crop Model to Explain the Relationship between Seed Yield and Phenotypic Diversity within the Brassica napus Genepool

et al. 2017

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“…At concentrations at maturity of about 20% (w/w) protein and 40% (w/w) oil Gunstone, 2001;Hay and Schwender, 2011b;Peltonen-Sainio et al, 2011), both compounds represent large fractions of total weight. Genotypespecific and environment-dependent negative correlations between percentage oil and percentage protein in rapeseed seed have been reported (Grami et al, 1977;Gunasekera et al, 2006;Peltonen-Sainio et al, 2011). Closely linked quantitative trait loci for oil and protein contents have been detected in rapeseed (Zhao et al, 2006).…”

Section: In Silico Tag/protein Tradeoff Is Relevant For Crop Improvementmentioning

confidence: 98%

Predictive Modeling of Biomass Component Tradeoffs in Brassica napus Developing Oilseeds Based on in Silico Manipulation of Storage Metabolism

Schwender

Hay

2012

Plant Physiology

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Seed oil content is a key agronomical trait, while the control of carbon allocation into different seed storage compounds is still poorly understood and hard to manipulate. Using bna572, a large-scale model of cellular metabolism in developing embryos of rapeseed (Brassica napus) oilseeds, we present an in silico approach for the analysis of carbon allocation into seed storage products. Optimal metabolic flux states were obtained by flux variability analysis based on minimization of the uptakes of substrates in the natural environment of the embryo. For a typical embryo biomass composition, flux sensitivities to changes in different storage components were derived. Upper and lower flux bounds of each reaction were categorized as oil or protein responsive. Among the most oil-responsive reactions were glycolytic reactions, while reactions related to mitochondrial ATP production were most protein responsive. To assess different biomass compositions, a tradeoff between the fractions of oil and protein was simulated. Based on flux-bound discontinuities and shadow prices along the tradeoff, three main metabolic phases with distinct pathway usage were identified. Transitions between the phases can be related to changing modes of the tricarboxylic acid cycle, reorganizing the usage of organic carbon and nitrogen sources for protein synthesis and acetylcoenzyme A for cytosol-localized fatty acid elongation. The phase close to equal oil and protein fractions included an unexpected pathway bypassing a-ketoglutarate-oxidizing steps in the tricarboxylic acid cycle. The in vivo relevance of the findings is discussed based on literature on seed storage metabolism.

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“…This spatial and temporal overlap appears to be part of tissue differentiation and represents the basis for competition among the corresponding biosynthetic pathways for the same substrates, energy, and physical space. In mature seeds, lipid and protein content are generally negatively related (Grami et al, 1977), which most likely reflects this competition. While the redirection of substrates from lipid to protein synthesis appears to be feasible (Chen et al, 2009), the opposite has proven difficult to engineer to date (Abbadi and Leckband, 2011).…”

Section: Topology Of Lipid Storage and Implications For Oilseed Impromentioning

confidence: 99%

Seed Architecture Shapes Embryo Metabolism in Oilseed Rape

et al. 2013

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Constrained to develop within the seed, the plant embryo must adapt its shape and size to fit the space available. Here, we demonstrate how this adjustment shapes metabolism of photosynthetic embryo. Noninvasive NMR-based imaging of the developing oilseed rape (Brassica napus) seed illustrates that, following embryo bending, gradients in lipid concentration became established. These were correlated with the local photosynthetic electron transport rate and the accumulation of storage products. Experimentally induced changes in embryo morphology and/or light supply altered these gradients and were accompanied by alterations in both proteome and metabolome. Tissue-specific metabolic models predicted that the outer cotyledon and hypocotyl/radicle generate the bulk of plastidic reductant/ATP via photosynthesis, while the inner cotyledon, being enclosed by the outer cotyledon, is forced to grow essentially heterotrophically. Under field-relevant highlight conditions, major contribution of the ribulose-1,5-bisphosphate carboxylase/oxygenase-bypass to seed storage metabolism is predicted for the outer cotyledon and the hypocotyl/radicle only. Differences between in vitro-versus in planta-grown embryos suggest that metabolic heterogeneity of embryo is not observable by in vitro approaches. We conclude that in vivo metabolic fluxes are locally regulated and connected to seed architecture, driving the embryo toward an efficient use of available light and space.

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Genetics of Protein and Oil Content in Summer Rape: Heritability, Number of Effective Factors, and Correlations

Cited by 73 publications

References 14 publications

Development of a Statistical Crop Model to Explain the Relationship between Seed Yield and Phenotypic Diversity within the Brassica napus Genepool

Development of a Statistical Crop Model to Explain the Relationship between Seed Yield and Phenotypic Diversity within the Brassica napus Genepool

Predictive Modeling of Biomass Component Tradeoffs in Brassica napus Developing Oilseeds Based on in Silico Manipulation of Storage Metabolism

Seed Architecture Shapes Embryo Metabolism in Oilseed Rape

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