Improving seed oil and protein content in Brassicaceae: some new genetic insights from Arabidopsis thaliana

Western Europe oleoproteaginous species like rapeseed mainly accumulate oil and protein in their seeds. To become competitive with soybean, seed protein quantity and quality should be improved in rapeseed. The negative correlation existing between seed protein and oil content apparently prevents the possibility to increase protein content without affecting oil content. Exploration of natural and induced genetic variability in the model plant Arabidopsis thaliana allows the identification of several genotypes impaired in this negative correlation. Different genetic approaches have been undertaken in order to isolate genetic factors responsible for the tight control of seed oil and protein homeostasis and this negative correlation. Once isolated in this model plant, such genetic determinants will be identified in important crops such as rapeseed or other oilseed crops in order to manipulate both components independently and thus produce on purposed seeds. In the long term, this research will help breed new varieties that could contribute to reduce Europe’s dependence on US soybean import.

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Stability of soybean seed composition

Genetika ◽

10.2298/gensr1102217b ◽

2011 ◽

Vol 43 (2) ◽

pp. 217-227 ◽

Cited By ~ 2

Author(s):

Svetlana Balesevic-Tubic ◽

Vuk Djordjevic ◽

Jegor Miladinovic ◽

Vojin Djukic ◽

Mladen Tatic

Keyword(s):

Environmental Factors ◽

Protein Content ◽

Linear Model ◽

Negative Correlation ◽

Oil Content ◽

Soybean Seed ◽

Yield Stability ◽

Seed Composition ◽

Inverse Relation

Stability of protein and oil content of 13 soybean varieties were examined using linear model across seven locations and during six years. Due to heterogeneity of environments all year/locations was distributed in to two groups, based on achieved yield. Stability of protein content differed in the low and high yielding environments, while average values show only minor differences. In contrast, oil content stability was slightly changed in the low and high yielding environments, while the average oil content were significantly higher in the low yielding environments. Environmental factors influenced the correlation between oil and protein content in soybeans. Negative correlation between protein and oil content was observed only in the high yielding environments, while varieties in low yielding environments lack this well known inverse relation.

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Leaf Characteristics at Recovery Stage Affect Seed Oil and Protein Content Under the Interactive Effects of Nitrogen and Waterlogging in Rapeseed

Agriculture ◽

10.3390/agriculture10060207 ◽

2020 ◽

Vol 10 (6) ◽

pp. 207

Author(s):

Jie Kuai ◽

Xiaoyong Li ◽

Yan Xie ◽

Zhen Li ◽

Bo Wang ◽

...

Keyword(s):

Protein Content ◽

Soluble Protein ◽

Oil Content ◽

Seed Oil ◽

Seed Protein ◽

Biomass Distribution ◽

Flowering Stage ◽

Tolerant Variety ◽

Leaf Soluble Protein ◽

Bolting And Flowering

Four nitrogen rates (0, 90, 180, and 270 kg ha−1) were applied to the waterlogging-tolerant variety ZS 9 and the sensitive variety GH01. Seedlings with five leaves were waterlogged for 0 (control) or 10 days to investigate the effects of nitrogen on the quality of waterlogged rapeseed. Compared with controls, the seed oil content of waterlogged rapeseed increased slightly in GH01 and significantly in ZS 9 with nitrogen application, which can be explained by the following. (1) after waterlogging, the biomass distribution in roots and leaves of ZS 9 decreased, which alleviated physiological water shortage. Conversely, biomass distribution in roots of GH01 increased, which was not synchronized with the leaf biomass change. (2) After waterlogging at 90–270 kg N ha−1, the leaf number at bolting and flowering was increased in ZS 9 but decreased in GH01 compared with the control. The decrease in leaf area and SPAD value were greater for GH01 after waterlogging, which limited photosynthesis. (3) The leaf soluble protein at bolting was highest in ZS 9 and lowest in GH01. The sensitive variety showed poor growth. The inhibition of seed protein synthesis resulted in an increase in the oil content of waterlogged rapeseed with nitrogen. The seed oil of the waterlogging-tolerant variety was most significantly negatively correlated with leaf soluble protein content at the flowering stage, while the protein content showed the opposite correlation. The seed oil of the waterlogging-sensitive variety was most significantly negatively correlated with the number of leaves at the bolting and flowering stage, while the seed protein content had opposite correlations.

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Correlation and path analysis of yield and yield components of confectionary sunflower

Genetika ◽

10.2298/gensr1603827h ◽

2016 ◽

Vol 48 (3) ◽

pp. 827-835 ◽

Cited By ~ 2

Author(s):

Nada Hladni ◽

Sinisa Jocic ◽

Anto Mijic ◽

Vladimir Miklic ◽

Dragana Miladinovic

Keyword(s):

Protein Content ◽

Seed Yield ◽

Oil Content ◽

Seed Oil ◽

Seed Protein ◽

Seed Protein Content ◽

Seed Oil Content ◽

Head Diameter ◽

Kernel Oil ◽

Kernel Protein

Path coefficient analysis was applied to gain information on direct and indirect effects of studied traits (seed oil content, kernel oil content, seed protein content, kernel protein content, head diameter, kernel ratio and plant height) on sunflower seed yield. Traits which exhibit the highest effects on seed yield will be used as a selection criterion in confectionary sunflower breeding. The research was conducted during three vegetation seasons on 22 experimental confectionary sunflower hybrids, created in breeding program the Institute of Field and Vegetable Crops. Among the largest number of examined traits, significant and highly significant correlations were found. With the analysis of simple correlation coefficients a low interdependence was determined between, kernel protein content, plant heights with seed yield. Negative but weak correlation was determined between kernel oil content, seed protein content, kernel ratio with seed yield. Established a negative strong correlation of head diameter (-0.190*) and negative very strong correlation of seed oil content (-0.351**) with seed yield. The seed oil content had a very strong direct negative effect on seed yield (DE=-0.831**). The head diameter, plant height, seed protein content had weak negative direct effect on seed yield. Kernel protein content and kernel oil content has demonstrated a weak direct positive effect on seed yield. Path coefficient analysis for seed yield showed very strong direct effect for kernel ratio (DE=0.487*) on seed yield, it shows that the kernel ratio is important selection criterion for confectionary sunflower breeding.

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Dynamic Transcriptome Changes Related to Oil Accumulation in Developing Soybean Seeds

International Journal of Molecular Sciences ◽

10.3390/ijms20092202 ◽

2019 ◽

Vol 20 (9) ◽

pp. 2202 ◽

Cited By ~ 3

Author(s):

Songnan Yang ◽

Long Miao ◽

Jianbo He ◽

Kai Zhang ◽

Yan Li ◽

...

Keyword(s):

Fatty Acid ◽

Candidate Genes ◽

Molecular Basis ◽

Oil Content ◽

Seed Oil ◽

Soybean Seed ◽

Soybean Seeds ◽

Seed Oil Content ◽

Oil Accumulation ◽

Expression Levels

Soybean is one of the most important oil crops in the world. Revealing the molecular basis and exploring key candidate genes for seed oil synthesis has great significance for soybean improvement. In this study, we found that oil accumulation rates and gene expression levels changed dynamically during soybean seed development. The expression levels of genes in metabolic pathways such as carbon fixation, photosynthesis, glycolysis, and fatty acid biosynthesis were significantly up-regulated during the rapid accumulation of oil in developing soybean seeds. Through weighted correlation network analysis, we identified six co-expression modules associated with soybean seed oil content and the pink module was the most positively correlated (r = 0.83, p = 7 × 10−4) network. Through the integration of differential expression and co-expression analysis, we predicted 124 candidate genes potentially affecting soybean seed oil content, including seven genes in lipid metabolism pathway, two genes involved in glycolysis, one gene in sucrose metabolism, and 12 genes belonged to transcription factors as well as other categories. Among these, three genes (GmABI3b, GmNFYA and GmFAD2-1B) have been shown to control oil and fatty acid content in soybean seeds, and other newly identified candidate genes would broaden our knowledge to understand the molecular basis for oil accumulation in soybean seeds.

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Environmental and genetic variation of soybean seed protein content under Central European growing conditions

Journal of the Science of Food and Agriculture ◽

10.1002/1097-0010(200007)80:9<1300::aid-jsfa640>3.0.co;2-i ◽

2000 ◽

Vol 80 (9) ◽

pp. 1300-1306 ◽

Cited By ~ 48

Author(s):

Johann Vollmann ◽

Christina N Fritz ◽

Helmut Wagentristl ◽

Peter Ruckenbauer

Keyword(s):

Genetic Variation ◽

Protein Content ◽

Seed Protein ◽

Soybean Seed ◽

Seed Protein Content ◽

Central European ◽

Growing Conditions

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Natural variation and selection in GmSWEET39 affect soybean seed oil content

New Phytologist ◽

10.1111/nph.16250 ◽

2019 ◽

Vol 225 (4) ◽

pp. 1651-1666 ◽

Cited By ~ 7

Author(s):

Long Miao ◽

Songnan Yang ◽

Kai Zhang ◽

Jianbo He ◽

Chunhua Wu ◽

...

Keyword(s):

Natural Variation ◽

Oil Content ◽

Seed Oil ◽

Soybean Seed ◽

Seed Oil Content ◽

Variation And Selection

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The SPATULA transcription factor regulates seed oil content by controlling seed specific genes in Arabidopsis thaliana

Plant Growth Regulation ◽

10.1007/s10725-016-0243-2 ◽

2017 ◽

Vol 82 (1) ◽

pp. 111-121 ◽

Cited By ~ 6

Author(s):

Bohan Liu ◽

Changmei Hua ◽

Ge Song ◽

Minjie Wu ◽

Renhong Cui ◽

...

Keyword(s):

Arabidopsis Thaliana ◽

Transcription Factor ◽

Oil Content ◽

Seed Oil ◽

Seed Oil Content

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Exploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach

Agronomy ◽

10.3390/agronomy11112200 ◽

2021 ◽

Vol 11 (11) ◽

pp. 2200

Author(s):

Ahmed M. Abdelghany ◽

Shengrui Zhang ◽

Muhammad Azam ◽

Abdulwahab S. Shaibu ◽

Yue Feng ◽

...

Keyword(s):

Protein Content ◽

Oil Content ◽

Soybean Seed ◽

Weighted Average ◽

Stability Index ◽

Environment Interaction ◽

Quality Traits ◽

Growing Seasons ◽

Trait Stability ◽

Soybean Genotypes

In order to ensure an ongoing and long-term breeding progress of soybean, stable sources of major quality traits across multi-environments need to be identified. Here, a panel of 135 soybean genotypes was tested in three different Chinese environments, including Beijing, Anhui, and Hainan during the 2017 and 2018 growing seasons to identify stable genotypes for cultivation under varying environmental conditions. The weighted average of absolute scores biplot (WAASB) for the best linear unbiased predictions of the genotype-environment interaction and multi-trait stability index (MTSI) were utilized to determine the stability of the soybeans for seven seed composition traits viz; protein content, oil content, and five fatty acids (palmitic, stearic, oleic, linoleic, and linolenic acids). Based on the WAASB index, the following genotypes were identified as stable genotypes for some specific traits; ZDD12828 and ZDD12832 for protein content, WDD01583 and WDD03025 for oil content, ZDD23040 for palmitic acid, WDD00033 for stearic acid, ZDD23822 for oleic acid, ZDD11183 for linoleic acid, and ZDD08489 for linolenic acid. Furthermore, based on MTSI at a selection intensity of 10%, 14 soybean genotypes were selected for their average performance and stability. Overall, the MTSI was shown to be a powerful and simple tool for identifying superior genotypes in terms of both performance and stability, hence, identifying stable soybean genotypes for future breeding programs of quality traits.

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Preharvest Effects of Applying Glyphosate to Soybeans (Glycine max)

Weed Science ◽

10.1017/s0043174500025972 ◽

1981 ◽

Vol 29 (1) ◽

pp. 123-127 ◽

Cited By ~ 20

Author(s):

W. R. Azlin ◽

C. G. McWhorter

Keyword(s):

Glycine Max ◽

Seed Germination ◽

Protein Content ◽

Oil Content ◽

Soybean Seed ◽

Soybean Plants ◽

Over The Top

Over a 4-yr period, glyphosate [N-(phosphonomethyl)glycine] was applied over-the-top to soybeans [Glycine max(L.) Merr.] at five rates, from 0.56 to 3.36 kg/ha, at four periods of time prior to harvest, 23 to 29 days, 15 to 21 days, 7 to 12 days, and 1 to 4 days. Soybean yields were reduced when glyphosate was applied at 2.24 and 3.36 kg/ha 23 to 29 days before harvest. Soybean seed were discolored following all five rates of glyphosate applied 23 to 29 days before harvest, following glyphosate at 1.12 to 3.36 kg/ha applied 15 to 21 days before harvest, and following glyphosate at 3.36 kg/ha applied 7 to 12 days before harvest. Germination of soybean seed was reduced at 30 C only when glyphosate was applied at 2.24 and 3.36 kg/ha 23 to 29 days before harvest, or at 3.36 kg/ha applied 15 to 21 days before harvest. At alternating temperatures (10.6 C for 72 h followed by 30 C for 72 h), all treatments applied 23 to 29 days before harvest reduced soybean seed germination; glyphosate at 1.12, 1.68, and 3.36 kg/ha applied 15 to 21 days before harvest also reduced germination. Seed from plots treated with glyphosate 23 to 29 or 15 to 21 days before harvest produced atypical soybean plants. Glyphosate at 2.24 and 3.36 kg/ha applied 23 to 29 days before harvest reduced the oil content in soybean seed, but none of the treatments consistently affected the protein content.

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