Model‐assisted identification of metabolic engineering strategies for <i>Jatropha curcas</i> lipid pathways

Correa, Sandra M.; Alseekh, Saleh; Atehortúa, Lucía; Brotman, Yariv; Ríos‐Estepa, Rigoberto; Fernie, Alisdair R.; Nikoloski, Zoran

doi:10.1111/tpj.14906

Cited by 10 publications

(6 citation statements)

References 182 publications

(275 reference statements)

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“…1b ). To this end, we tested the integration of the PLM in five published plant metabolic models of different size 19 , 21 , 29 – 31 that: (i) have COBRA model structure 32 ; (ii) include metabolites with molecular neutral and/or charged formulas, accompanied by the respective charges and identifiers (e.g. KEGG and/or ChEBI); and (iii) can be imported and exported with standard software packages/toolboxes (e.g.…”

Section: Resultsmentioning

confidence: 99%

Identification of gene function based on models capturing natural variability of Arabidopsis thaliana lipid metabolism

et al. 2023

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Lipids play fundamental roles in regulating agronomically important traits. Advances in plant lipid metabolism have until recently largely been based on reductionist approaches, although modulation of its components can have system-wide effects. However, existing models of plant lipid metabolism provide lumped representations, hindering detailed study of component modulation. Here, we present the Plant Lipid Module (PLM) which provides a mechanistic description of lipid metabolism in the Arabidopsis thaliana rosette. We demonstrate that the PLM can be readily integrated in models of A. thaliana Col-0 metabolism, yielding accurate predictions (83%) of single lethal knock-outs and 75% concordance between measured transcript and predicted flux changes under extended darkness. Genome-wide associations with fluxes obtained by integrating the PLM in diel condition- and accession-specific models identify up to 65 candidate genes modulating A. thaliana lipid metabolism. Using mutant lines, we validate up to 40% of the candidates, paving the way for identification of metabolic gene function based on models capturing natural variability in metabolism.

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Section: Resultsmentioning

confidence: 99%

Identification of gene function based on models capturing natural variability of Arabidopsis thaliana lipid metabolism

et al. 2023

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“…In most seed oils, the phosphatidylcholine (PC) backbones carrying PUFAs can be catalyzed by phospholipase D (PLD), phospholipase C (PLC) or phosphatidylcholine:diacylglycerol cholinephosphotransferase (PDCT) to form phosphatidic acid (PA) or DAG. These PC-derived PA or DAG will enter the Kennedy pathway to form TAG in the last step catalyzed by DGAT [44,56]. However, in J. curcas seeds, a sharp downregulation of the expression of a linoleate desaturase (FAD3) gene, which functions in the PC pool, resulted in a reduction in the biosynthesis of linolenic acid at maturity [3].…”

Section: Discussionmentioning

confidence: 99%

Overexpression of Type 1 and 2 Diacylglycerol Acyltransferase Genes (JcDGAT1 and JcDGAT2) Enhances Oil Production in the Woody Perennial Biofuel Plant Jatropha curcas

Zhang

et al. 2021

Plants

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Diacylglycerol acyltransferase (DGAT) is the only enzyme that catalyzes the acyl-CoA-dependent acylation of sn-1, 2-diacylglycerol (DAG) to form triacylglycerol (TAG). The two main types of DGAT enzymes in the woody perennial biofuel plant Jatropha curcas, JcDGAT1 and JcDGAT2, were previously characterized only in heterologous systems. In this study, we investigated the functions of JcDGAT1 and JcDGAT2 in J. curcas.JcDGAT1 and JcDGAT2 were found to be predominantly expressed during the late stages of J. curcas seed development, in which large amounts of oil accumulated. As expected, overexpression of JcDGAT1 or JcDGAT2 under the control of the CaMV35S promoter gave rise to an increase in seed kernel oil production, reaching a content of 53.7% and 55.7% of the seed kernel dry weight, respectively, which were respectively 25% and 29.6% higher than that of control plants. The increase in seed oil content was accompanied by decreases in the contents of protein and soluble sugars in the seeds. Simultaneously, there was a two- to four-fold higher leaf TAG content in transgenic plants than in control plants. Moreover, by analysis of the fatty acid (FA) profiles, we found that JcDGAT1 and JcDGAT2 had the same substrate specificity with preferences for C18:2 in seed TAGs, and C16:0, C18:0, and C18:1 in leaf TAGs. Therefore, our study confirms the important role of JcDGAT1 and JcDGAT2 in regulating oil production in J. curcas.

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“…The TAGs currently utilized for biodiesel production are mainly derived from edible seed feedstock. Several food crops, such as corn, soybean, oilseed crops, that is, Camelina sativa, Jatropha curcas , etc., have been established for high seed oil content thorough engineering of lipid biosynthetic pathways and genes [ 54 , 55 ]. At the same time, established pre-eminence of food versus fuel debates, it is unlikely the TAGs production from current oilseed feedstock will contribute substantially to the biofuels industry in the future.…”

Section: Recent Metabolic Advances In the Lignocellulosic Feedstockmentioning

confidence: 99%

Recent advances in metabolic engineering of microorganisms for advancing lignocellulose-derived biofuels

et al. 2022

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Combating climate change and ensuring energy supply to a rapidly growing global population has highlighted the need to replace petroleum fuels with clean, and sustainable renewable fuels. Biofuels offer a solution to safeguard energy security with reduced ecological footprint and process economics. Over the past years, lignocellulosic biomass has become the most preferred raw material for the production of biofuels, such as fuel, alcohol, biodiesel, and biohydrogen. However, the cost-effective conversion of lignocellulose into biofuels remains an unsolved challenge at the industrial scale. Recently, intensive efforts have been made in lignocellulose feedstock and microbial engineering to address this problem. By improving the biological pathways leading to the polysaccharide, lignin, and lipid biosynthesis, limited success has been achieved, and still needs to improve sustainable biofuel production. Impressive success is being achieved by the retouring metabolic pathways of different microbial hosts. Several robust phenotypes, mostly from bacteria and yeast domains, have been successfully constructed with improved substrate spectrum, product yield and sturdiness against hydrolysate toxins. Cyanobacteria is also being explored for metabolic advancement in recent years, however, it also remained underdeveloped to generate commercialized biofuels. The bacterium Escherichia coli and yeast Saccharomyces cerevisiae strains are also being engineered to have cell surfaces displaying hydrolytic enzymes, which holds much promise for near-term scale-up and biorefinery use. Looking forward, future advances to achieve economically feasible production of lignocellulosic-based biofuels with special focus on designing more efficient metabolic pathways coupled with screening, and engineering of novel enzymes.

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Model‐assisted identification of metabolic engineering strategies for Jatropha curcas lipid pathways

Cited by 10 publications

References 182 publications

Identification of gene function based on models capturing natural variability of Arabidopsis thaliana lipid metabolism

Identification of gene function based on models capturing natural variability of Arabidopsis thaliana lipid metabolism

Overexpression of Type 1 and 2 Diacylglycerol Acyltransferase Genes (JcDGAT1 and JcDGAT2) Enhances Oil Production in the Woody Perennial Biofuel Plant Jatropha curcas

Recent advances in metabolic engineering of microorganisms for advancing lignocellulose-derived biofuels

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