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21,231 result(s) for "seed oils"
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Multi-omics analysis dissects the genetic architecture of seed coat content in Brassica napus
Background Brassica napus is an important vegetable oil source worldwide. Seed coat content is a complex quantitative trait that negatively correlates with the seed oil content in B. napus . Results Here we provide insights into the genetic basis of natural variation of seed coat content by transcriptome-wide association studies (TWAS) and genome-wide association studies (GWAS) using 382 B. napus accessions. By population transcriptomic analysis, we identify more than 700 genes and four gene modules that are significantly associated with seed coat content. We also characterize three reliable quantitative trait loci (QTLs) controlling seed coat content by GWAS. Combining TWAS and correlation networks of seed coat content-related gene modules, we find that BnaC07.CCR-LIKE ( CCRL ) and BnaTT8s play key roles in the determination of the trait by modulating lignin biosynthesis. By expression GWAS analysis, we identify a regulatory hotspot on chromosome A09, which is involved in controlling seed coat content through BnaC07.CCRL and BnaTT8s . We then predict the downstream genes regulated by BnaTT8s using multi-omics datasets. We further experimentally validate that BnaCCRL and BnaTT8 positively regulate seed coat content and lignin content. BnaCCRL represents a novel identified gene involved in seed coat development. Furthermore, we also predict the key genes regulating carbon allocation between phenylpropane compounds and oil during seed development in B. napus . Conclusions This study helps us to better understand the complex machinery of seed coat development and provides a genetic resource for genetic improvement of seed coat content in B. napus breeding.
Natural variation and selection in GmSWEET39 affect soybean seed oil content
Soybean (Glycine max) is a major contributor to the world oilseed production. Its seed oil content has been increased through soybean domestication and improvement. However, the genes underlying the selection are largely unknown. The present contribution analyzed the expression patterns of genes in the seed oil quantitative trait loci with strong selective sweep signals, then used association, functional study and population genetics to reveal a sucrose efflux transporter gene, GmSWEET39, controlling soybean seed oil content and under selection. GmSWEET39 is highly expressed in soybean seeds and encodes a plasma membrane-localized protein. Its expression level is positively correlated with soybean seed oil content. The variation in its promoter and coding sequence leads to different natural alleles of this gene. The GmSWEET39 allelic effects on total oil content were confirmed in the seeds of soybean recombinant inbred lines, transgenic Arabidopsis, and transgenic soybean hairy roots. The frequencies of its superior alleles increased from wild soybean to cultivated soybean, and are much higher in released soybean cultivars. The findings herein suggest that the sequence variation in GmSWEET39 affects its relative expression and oil content in soybean seeds, and GmSWEET39 has been selected to increase seed oil content during soybean domestication and improvement.
Nonspecific phospholipase C6 increases seed oil production in oilseed Brassicaceae plants
• Plant oils are valuable commodities for food, feed, renewable industrial feedstocks and biofuels. To increase vegetable oil production, here we show that the nonspecific phospholipase C6 (NPC6) promotes seed oil production in the Brassicaceae seed oil species Arabidopsis, Camelina and oilseed rape. • Overexpression of NPC6 increased seed oil content, seed weight and oil yield both in Arabidopsis and Camelina, whereas knockout of NPC6 decreased seed oil content and seed size. NPC6 is associated with the chloroplasts and microsomal membranes, and hydrolyzes phosphatidylcholine and galactolipids to produce diacylglycerol. Knockout and overexpression of NPC6 decreased and increased, respectively, the flux of fatty acids from phospholipids and galactolipids into triacylglycerol production. • Candidate-gene association study in oilseed rape indicates that only BnNPC6.C01 of the four homeologues NPC6s is associated with seed oil content and yield. Haplotypic analysis indicates that the BnNPC6.C01 favorable haplotype can increase both seed oil content and seed yield. • These results indicate that NPC6 promotes membrane glycerolipid turnover to accumulate TAG production in oil seeds and that NPC6 has a great application potential for oil yield improvement.
Characterization of novel loci controlling seed oil content in Brassica napus by marker metabolite-based multi-omics analysis
Background Seed oil content is an important agronomic trait of Brassica napus ( B. napus ), and metabolites are considered as the bridge between genotype and phenotype for physical traits. Results Using a widely targeted metabolomics analysis in a natural population of 388 B. napus inbred lines, we quantify 2172 metabolites in mature seeds by liquid chromatography mass spectrometry, in which 131 marker metabolites are identified to be correlated with seed oil content. These metabolites are then selected for further metabolite genome-wide association study and metabolite transcriptome-wide association study. Combined with weighted correlation network analysis, we construct a triple relationship network, which includes 21,000 edges and 4384 nodes among metabolites, metabolite quantitative trait loci, genes, and co-expression modules. We validate the function of BnaA03.TT4, BnaC02.TT4, and BnaC05.UK, three candidate genes predicted by multi-omics analysis, which show significant impacts on seed oil content through regulating flavonoid metabolism in B. napus . Conclusions This study demonstrates the advantage of utilizing marker metabolites integrated with multi-omics analysis to dissect the genetic basis of agronomic traits in crops.
Comprehensive transcriptional variability analysis reveals gene networks regulating seed oil content of Brassica napus
Background Regulation of gene expression plays an essential role in controlling the phenotypes of plants. Brassica napus ( B. napus ) is an important source for the vegetable oil in the world, and the seed oil content is an important trait of B. napus . Results We perform a comprehensive analysis of the transcriptional variability in the seeds of B. napus at two developmental stages, 20 and 40 days after flowering (DAF). We detect 53,759 and 53,550 independent expression quantitative trait loci (eQTLs) for 79,605 and 76,713 expressed genes at 20 and 40 DAF, respectively. Among them, the local eQTLs are mapped to the adjacent genes more frequently. The adjacent gene pairs are regulated by local eQTLs with the same open chromatin state and show a stronger mode of expression piggybacking. Inter-subgenomic analysis indicates that there is a feedback regulation for the homoeologous gene pairs to maintain partial expression dosage. We also identify 141 eQTL hotspots and find that hotspot87-88 co-localizes with a QTL for the seed oil content. To further resolve the regulatory network of this eQTL hotspot, we construct the XGBoost model using 856 RNA-seq datasets and the Basenji model using 59 ATAC-seq datasets. Using these two models, we predict the mechanisms affecting the seed oil content regulated by hotspot87-88 and experimentally validate that the transcription factors, NAC13 and SCL31, positively regulate the seed oil content. Conclusions We comprehensively characterize the gene regulatory features in the seeds of B. napus and reveal the gene networks regulating the seed oil content of B. napus .
Transcription Factor GmERFA Interacts With GmNFYA and Acts as a Negative Regulator of Seed Fatty Acid Accumulation in Soybean
Soybean is one of the most important oilseed crops, and its seed oil content directly determines the economic value and industrial applicability worldwide. However, how soybean seed oil accumulation is regulated remains less understood. Here, through RNA‐seq analysis and screening for the interacting proteins of a positive oil regulator GmNFYA, we identified an AP2/ERF‐type transcription factor GmERFA, which acts as a negative regulator of oil accumulation. Knocking out GmERFA and its homologue by genome editing increased seed total fatty acid content, while overexpression of GmERFA leads to a reduced fatty acid level in transgenic soybean. GmERFA interacts with GmNFYA to inhibit its transcriptional activation of GmbZIP123 and GmZF392, both of which promotes seed oil accumulation. The GmERFA also directly binds to the promoter regions of GmbZIP123 and GmZF392 and represses their gene expression. Through further analysis of more than 300 soybean accessions, an elite allele of ERFA with Hap3 promoter is identified to correlate with lower promoter activity, lower gene expression but higher seed oil content. The Hap3 ERFA may be selected and fixed during soybean domestication. Together, our study discovers a brake gene for oil accumulation and may function in a novel molecular network GmERFA‐GmNFYA‐GmbZIP123/GmZF392 at the later stage of soybean seed development. Manipulation of the gene, its elite allele, and the whole pathway should benefit breeding for high oil cultivars in soybean.
Effect of Organic and Inorganic Fertilizers on Soil Properties, Growth Yield, and Physiochemical Properties of Sunflower Seeds and Oils
Sunflower is the most important source of edible oil and fourth-largest oilseed crop in the world. The purpose of this study was to investigate the effect of using two organic fertilizers from various sources (compost coupled with biofertilizer (CCB), filter mud cake (FMC)) and comparing them to conventional inorganic fertilizers in their effect on the quality of sunflower seeds, sunflower oil, and soil properties. The data showed that the highest value of dry weight, plant height, disk dry weight in addition to chlorophyll content, and phenolic secondary metabolites in oil was measured after the application of inorganic fertilizer, while the use of organic fertilizer contributed to a substantial increase in the production yield of sunflower seeds, oil, and a high stalk yield compared with inorganic treatment. Oils produced from organic fertilizer (CCB and FMC) gave higher blue color values than inorganic ones and the most transparent oil was inorganic while the organic treatments produced darkest oils. The results for chemical composition of sunflower seeds showed nonsignificant differences for protein and ash among all treatments while a significant difference with regard to oil content was recorded, in which the FMC recorded the highest oil content followed by compost (CCB), and finally came the inorganic treatment. Organic fertilizers are a valuable source of organic material and nutrients essential for plants and can be safely used for soil, crops, and the environment.
Date Seeds: A Promising Source of Oil with Functional Properties
The cultivation of the date palm (Phoenix dactylifera L.) is the main activity and source of livelihood for people from arid and semiarid regions of the world. Date production is increasing every year. In addition, pitted date exportation is rising and great amounts of date seeds are produced. This biomass represents a problem for manufacturing companies. At the moment, date seeds are normally discarded or used as animal feed ingredients. However, this co-product can be used for many other applications due to its valuable chemical composition. Oil is one of the most interesting components of the date seed. In fact, date seeds contain 5–13% oil. Date seed oil contains saturated and unsaturated fatty acids with lauric and oleic as the main ones, respectively. Tocopherols, tocotrienols, phytosterols, and phenolic compounds are also present in significant amounts. These phytochemicals confer added value to date seed oil, which could be used for many applications, such as food product formulations, cosmetics, and pharmaceuticals. This review provides up-to-date data on the different extraction techniques and the chemical composition of date seed oils. The applications of date seed oil have also been reviewed.
Meta-QTL analysis for mining key genes associated with seed oil content in maize
Background Maize seed oil plays a significant role in human nutrition, animal feed, and bioenergy applications. Despite extensive quantitative trait loci (QTL) studies conducted on this trait, the broad confidence intervals of the identified QTLs have made it difficult to precisely pinpoint candidate genes, thereby limiting their practical application in high-oil maize breeding. Results In this study, we integrated QTL data related to maize seed oil content reported over the past two decades, compiling a total of 339 QTLs from 31 studies. By integrating high-density genetic linkage maps, 72 oil content-related meta-QTLs (MQTLs) were identified. Compared with previous studies on seed oil content QTLs, the average confidence interval of the MQTLs was reduced by 5.89-fold. Through colocalization analysis with genome-wide association study (GWAS) marker-trait associations (MTAs), over 60% of the MQTLs were validated by GWAS-MTAs. Additionally, four known functional genes were identified within the MQTL regions, and 44 candidate genes were further uncovered through homologous gene comparison. These genes are likely involved in critical biological processes such as transcriptional regulation (e.g., CADTFR7 ), fatty acid biosynthesis (e.g., Zm00001d036137 ), and material transport (e.g., Zm00001d013817 ), thereby influencing seed oil content accumulation. Conclusions Collectively, these findings provide valuable insights into the genetic regulation of maize seed oil content and offer potential molecular targets for the development of high-oil maize varieties.
Ultrasound-assisted extraction of cranberry seed oil: food waste valorization approach
Cranberry pomace considered as a by-product of fruit industry contains seeds which may be processed to highly nutritive oil. Conventional extraction methods may be, however, harmful to natural environment, thus alternative, ultrasound-assisted extraction method may be useful tool to reduce environmental impact. In the following study, sonication was applied to extract oil from cranberry seeds. The aim of the study was to determine the most efficient conditions of ultrasound-assisted extraction of oil and to investigate sonication influence on the properties of final product. Ultrasound amplitude and extraction time were independent variables; yield and maximum induction time of oils were responses. The most efficient conditions were amplitude of 95% and extraction time of 11.38 min. Model predicted extraction yield of 22.55 ± 0.36% (vs. actual 21.98 ± 0.08%) and induction time of 52.60 ± 0.95 min (vs. actual 61.95 ± 3.06 min). Detailed analyses of oil extracted in the most efficient conditions and the control sample were performed. Kinetic parameters of oil oxidation, fatty acid profile and distribution, melting characteristics studies were carried out. Sonication influenced activation energy of oxidation reaction, contribution of chosen fatty acids (oleic, α-linolenic and eicosenoic fatty acids) and distribution of oleic and α-linolenic fatty acids in sn-2 position of triacylglycerols. Slight changes in melting profile of oils were also recorded. Scanning electron microscopy of cranberry seeds revealed that ultrasound treatment resulted in pore enlargement and fat agglomeration damage. Additional studies of thermal properties of cranberry seeds: differential scanning calorimetry and modulated differential scanning calorimetry were performed, which confirmed that cranberry seeds may be a new source of oil with unique properties.