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Enregistrement W3209770725 · doi:10.1111/pbi.13739

Engineering docosapentaenoic acid (DPA) and docosahexaenoic acid (DHA) in <i>Brassica juncea</i>

2021· article· en· W3209770725 sur OpenAlexaff
Srinivas Belide, Pushkar Shrestha, Yoko Kennedy, Antonio Leonforte, Malcolm D. Devine, James R. Petrie, Surinder Singh, Xue‐Rong Zhou

Notice bibliographique

RevuePlant Biotechnology Journal · 2021
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueLipid metabolism and biosynthesis
Établissements canadiensAlberta Bible College
Organismes subventionnairesnon disponible
Mots-clésDocosapentaenoic acidDocosahexaenoic acidPolyunsaturated fatty acidEicosapentaenoic acidBiologyFood scienceFish oilBiochemistryFatty acidBiotechnologyFish <Actinopterygii>Fishery

Résumé

récupéré en direct d'OpenAlex

Omega-3 long-chain polyunsaturated fatty acids (ω3 LC-PUFAs) such as eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) are important for human health. Suboptimal levels of ω3 LC-PUFAs are associated with increased risk of several diseases (Ghasemi Fard et al., 2019). Docosapentaenoic acid (ω3-DPA, C22:5) is a rare LC-PUFA but of special interest because of its unique properties (Drouin and Legrand, 2019; Kaur et al., 2013). Multiple studies showed direct effects of DPA on inflammation, improved plasma lipid profile and cognitive function (Ghasemi Fard and Cameron-Smith, 2021). The principal sources of DPA are wild oceanic fish species. However, DPA is not currently available in sufficient quantities for commercial production. An inexpensive and sustainable supply of this important ω3 fatty acid is highly desirable to conduct large-scale human intervention studies to examine the role of ω3-DPA in relation to optimal health. Significant efforts to engineer the production of ω3 LC-PUFAs in oilseed crops have been attempted recently. Two distinctive approaches have been used to produce ARA, EPA and DHA in seed oil crops comparable to the levels of wild fish oil (Petrie et al., 2020; Usher et al., 2017; Walsh et al., 2016). These include the anaerobic polyketide synthase system and the aerobic desaturase pathway of LC-PUFA biosynthesis. The aerobic pathway involves sequential desaturation and elongation steps (Robert et al., 2005, Figure 1). Introduction of additional Δ12-desaturase (Δ12-Des) and ω3-desaturase (ω3-Des) in oil crop enhanced the DHA level (Petrie et al., 2020). However, there has been no attempt to produce DPA in higher plants. We introduced the aerobic LC-PUFA biosynthesis pathway into Brassica juncea and produced high levels of both DHA and DPA, the first successful production of DPA in a crop. The level of DPA was two to three times higher than the highest found in fish oil, providing a scalable platform for efficient DPA production. We also report the first successful production of DHA to DPA in 1:1 ratio in B. juncea seed oil. Brassica juncea was transformed with the binary vector GA7_ModB (Figure 1a) used previously to develop DHA canola (Petrie et al., 2020). Full T-DNA insertion from this vector produces DHA, while an incomplete T-DNA insertion could lead to the accumulation of intermediates, including DPA (Figure 1b). Seed fatty acid composition was analysed by gas chromatography (Zhou and Singh, 2013). DPA positional distribution on triacylglycerol was determined as previously described (Petrie et al., 2014). Seed oil content was verified by NMR using an MQC benchtop analyser (Oxford Instruments) following the manufacture's instruction. Among 21 independent transgenic B. juncea lines, DHA levels in pooled T1 seeds ranged from 0% to 6.6% of total fatty acids. Interestingly, Line 4 had a substantial level of DPA (3.7%), and 6.6% DHA. Single T1 seed analysis of Line 4 showed a DPA content from 0.3% to 16.1% and DHA from 0 to 17.9%. Eight of 30 single T1 seeds contained 2.5–16.1% DPA but no DHA. Line 4 was then further analysed for fatty acid composition in half cotyledons of 48 germinating seeds. A range of 3.8–18.1% DPA was observed in half cotyledons of 11 T1 seeds, without any DHA, while others contained various levels of DHA. This suggested there was a segregation of multiple T-DNA insertions in T1 seeds leading to either DHA or DPA accumulation. Nineteen plants with either high DHA or high DPA without DHA were established. Fourteen of these plants had 3.6–17.2% DHA in T2 seeds. One progeny with 17.2% DHA was designated as BjDHA-4-17 and advanced to T4 seeds by selfing. The DHA level in T4 seeds remained 17% (Figure 1c). The other five T1 plants contained 4.2–12.5% DPA with no DHA in T2 seeds. These were designated BjDPA-4-13, BjDPA-4-19, BjDPA-4-25, BjDPA-4-34 and BjDPA-4-39, potentially containing truncated inserts without a functional Δ4-desaturase gene (Δ4-Des). BjDPA-4-34 was advanced to T6 seeds which contained 12 ± 1.3% DPA. Line BjDHA-4-17 (17.2% DHA) was crossed with line BjDPA-4-19 (11.6% DPA), resulting in 68 F1 seeds. Half cotyledon analysis revealed that 11 F1 seeds contained both 4.1–6.0% DPA and 14.7–20.3% DHA. Pooled seed analysis of F2 seeds from these 11 F1 plants showed DPA levels ranging from 1.3% to 7.2% and DHA from 4.0% to 10.2%. Progeny 52, which had 7.2% DPA and 10.1% DHA in F2 seeds, was advanced to F2 plant. Pooled seed analysis of F3 seeds from 14 F2 plants showed variation in the amount of DHA, DPA and the sum of DHA+DPA, including six plants with an almost 1:1 DPA:DHA ratio (Figure 1c). Sequencing of genomic DNA from the seedlings of BjDPA-4-34-2-8-7 (T4) showed there were three partial inserts containing the functional gene cassettes from GA7_ModB except for the ω3-Des and Δ4-Des, leading to no conversion of DPA to DHA (Figure 1b). The function of the missing ω3D, converting C18:2 to C18:3, was complemented by the endogenous Δ15-desaturase. Seed oil content remained same in T5 (34.3 ± 2.1%) and T6 (33.5 ± 2.0%) seeds derived from BjDPA-4 compared to the wild type (35.1 ± 2.1%) grown at the same time with no statistical difference. DPA was preferentially located at the sn-1/3 positions (91.6%) of the triacylglycerol molecules. Similar preferential distribution of DHA was previously reported (Petrie et al., 2020). In this study, we explored the introduction of LC-PUFA biosynthesis pathway into B. juncea to produce DPA or DHA. Their levels were stable over four generations in BjDHA-4-17 and six generations in BjDPA-4-34. Although T-DNA truncations were observed and integration occurred at three different loci in the BjDPA-4 event, DPA levels were stable in both the glasshouse and field over several years and up to the T6 generation. The oil from BjDPA lines has several unique features. It is relatively high in DPA, a highly beneficial ω3 LC-PUFA for dietary supplementation with increasing interest from the medical community (Kaur et al., 2013). In addition, the oil contained a high level of α-linolenic ALA (ca. ~>20%, compared to 15% in WT B. juncea oil), contributing to an increased ω3:ω6 ratio, with concomitant health benefits. An almost 1:1 ratio of DHA to DPA was produced in F3 pooled seeds from the BjDHA × BjDPA crosses, with a total of ~17% DPA+DHA in the seed oil (Figure 1c). An oil with DHA and DPA in a 1:1 ratio may be an excellent source for promoting cardiovascular health. This study demonstrates the production of 12% of DPA (two to three times higher than any other natural source) or 18% DHA in transgenic B. juncea, and the production of equal amounts of DHA and DPA in seed oil. Production of DPA in B. juncea is also more sustainable, removing the need to exploit ocean resources. We thank Geraldine Lester, Anu Mathew, Lijun Tian, Jason McAllister and Rosangela Devilla for their excellent technical assistance and Noel Cogan for helping with genome sequencing. The authors declare no conflict of interest. SB, JRP, SPS and XRZ designed the experiments; SB, PS, YK and AL performed the experiments; SB, MDD, SPS and XRZ analysed data and wrote the manuscript. This work was supported by CSIRO, Nuseed Pty Ltd and GRDC Australian.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,218
Score d'incertitude au seuil0,861

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,005
Tête enseignante GPT0,186
Écart entre enseignants0,181 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations16
Publié2021
Routes d'admission1
Résumé présentoui

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