Transcriptional regulation of oil biosynthesis in seed plants: Current understanding, applications, and perspectives

Guo

Plant Biotechnology Journal

et al. 2022

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Bile acid: sodium symporter family protein 2 (BASS2) is a sodium-dependent pyruvate transporter, which transports pyruvate from cytosol into plastid in plants. In this study, we investigated the function of chloroplast envelope membrane-localized BnaBASS2 in seed metabolism and seed oil accumulation of Brassica napus (B. napus). Four BASS2 genes were identified in the genome of B. napus. BnaA05.BASS2 was overexpressed while BnaA05.BASS2 and BnaC04.BASS2-1 were mutated by CRISPR in B. napus. Metabolite analysis revealed that the manipulation of BnaBASS2 caused significant changes in glycolysis-, fatty acid synthesis-, and energy-related metabolites in the chloroplasts of 31 day-afterflowering (DAF) seeds. The analysis of fatty acids and lipids in developing seeds showed that BnaBASS2 could affect lipid metabolism and oil accumulation in developing seeds. Moreover, the overexpression (OE) of BnaA05.BASS2 could promote the expression level of multiple genes involved in the synthesis of oil and the formation of oil body during seed development. Disruption of BnaA05.BASS2 and BnaC04.BASS2-1 resulted in decreasing the seed oil content (SOC) by 2.8%-5.0%, while OE of BnaA05.BASS2 significantly promoted the SOC by 1.4%-3.4%. Together, our results suggest that BnaBASS2 is a potential target gene for breeding B. napus with high SOC.

Section: Bnabass2 Promotes Oil Accumulation During Seed Developmentmentioning

confidence: 99%

Pyruvate transporter BnaBASS2 impacts seed oil accumulation in Brassica napus

Guo

Plant Biotechnology Journal

et al. 2022

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“…Examples include stearic acid with FAB2 [8], and oil content with PDHC [9] in fatty acid biosynthesis; fatty acids with GmDGAT [10], and oil content with AtLPAAT [11] and GmPDAT [12] in Kennedy pathways; fatty acids with GmPLDα1 [13] and AtPDCT [14], oil content with BnNPC6 [15], and fatty acids and oil content with GmPLDγ [16] in phospholipids pathways; oil content with AtSEI1 [17] and GmOLEO1 [18] in lipid droplet biogenesis; and fatty acids with MDH2 [19] in fatty acid β-oxidation. In addition, some associations of oil-related traits with transcription factors (TFs) have been identified [20], e.g., AtFUS3 [21], GmbZIP123 [22], BnLEC1a [23], GmDREBL [24], GmZF351 [25], and GmDof11 [26]. However, these associations are limited as regards the genetic dissection of seed oil-related traits.…”

Section: Open Accessmentioning

confidence: 99%

4D genetic networks reveal the genetic basis of metabolites and seed oil-related traits in 398 soybean RILs

Han

Zhang

Liu

et al. 2022

Biotechnol Biofuels

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Background The yield and quality of soybean oil are determined by seed oil-related traits, and metabolites/lipids act as bridges between genes and traits. Although there are many studies on the mode of inheritance of metabolites or traits, studies on multi-dimensional genetic network (MDGN) are limited. Results In this study, six seed oil-related traits, 59 metabolites, and 107 lipids in 398 recombinant inbred lines, along with their candidate genes and miRNAs, were used to construct an MDGN in soybean. Around 175 quantitative trait loci (QTLs), 36 QTL-by-environment interactions, and 302 metabolic QTL clusters, 70 and 181 candidate genes, including 46 and 70 known homologs, were previously reported to be associated with the traits and metabolites, respectively. Gene regulatory networks were constructed using co-expression, protein–protein interaction, and transcription factor binding site and miRNA target predictions between candidate genes and 26 key miRNAs. Using modern statistical methods, 463 metabolite–lipid, 62 trait–metabolite, and 89 trait–lipid associations were found to be significant. Integrating these associations into the above networks, an MDGN was constructed, and 128 sub-networks were extracted. Among these sub-networks, the gene–trait or gene–metabolite relationships in 38 sub-networks were in agreement with previous studies, e.g., oleic acid (trait)–GmSEI–GmDGAT1a–triacylglycerol (16:0/18:2/18:3), gene and metabolite in each of 64 sub-networks were predicted to be in the same pathway, e.g., oleic acid (trait)–GmPHS–d-glucose, and others were new, e.g., triacylglycerol (16:0/18:1/18:2)–GmbZIP123–GmHD-ZIPIII-10–miR166s–oil content. Conclusions This study showed the advantages of MGDN in dissecting the genetic relationships between complex traits and metabolites. Using sub-networks in MGDN, 3D genetic sub-networks including pyruvate/threonine/citric acid revealed genetic relationships between carbohydrates, oil, and protein content, and 4D genetic sub-networks including PLDs revealed the relationships between oil-related traits and phospholipid metabolism likely influenced by the environment. This study will be helpful in soybean quality improvement and molecular biological research.

“…In developed countries, vegetable oils provide approximately one-fourth of dietary calories. The global demand for vegetable oil is increasing very rapidly, which necessitates increased oil production ( 1 , 5 , 6 ).…”

Section: Introductionmentioning

confidence: 99%

“…Numerous plants produce and accumulate triacylglycerol (TAG; most frequently recognized as vegetable oils) in seeds, which is an important carbon and energy resource supporting seedling development. Vegetable oils are essential for the human diet and have important industrial applications, such as the production of lubricants, detergents, and biodiesel fuels (1)(2)(3)(4)(5)(6). In developed countries, vegetable oils provide approximately one-fourth of dietary calories.…”

Section: Introductionmentioning

confidence: 99%

Molecular basis of the key regulator WRINKLED1 in plant oil biosynthesis

et al. 2022

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Vegetable oils are not only major components of human diet but also vital for industrial applications. WRINKLED1 (WRI1) is a pivotal transcription factor governing plant oil biosynthesis, but the underlying DNA-binding mechanism remains incompletely understood. Here, we resolved the structure of Arabidopsis WRI1 (AtWRI1) with its cognate double-stranded DNA (dsDNA), revealing two antiparallel β sheets in the tandem AP2 domains that intercalate into the adjacent major grooves of dsDNA to determine the sequence recognition specificity. We showed that AtWRI1 represented a previously unidentified structural fold and DNA-binding mode. Mutations of the key residues interacting with DNA element affected its binding affinity and oil biosynthesis when these variants were transiently expressed in tobacco leaves. Seed oil content was enhanced in stable transgenic wri1-1 expressing an AtWRI1 variant (W74R). Together, our findings offer a structural basis explaining WRI1 recognition and binding of DNA and suggest an alternative strategy to increase oil yield in crops through WRI1 bioengineering.