不同种质间青木果实油脂积累与生物柴油特性的评价及生物柴油高产机制的揭示

Zixin Lin, Feng Chen, Hongjuan Wang, Jinhe Hu, Lingling Shi, Zhixiang Zhang, Yu Xiu, Shanzhi Lin
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引用次数: 1

摘要

背景:具有丰富资源和果油的青木林已成为中国生物柴油的新来源,但不同种质在果油含量和FA谱上存在差异。为了将白乳酸菌果实油开发为生物柴油,对8个以上种质资源的果实进行了油脂含量、FA组成、生物柴油产量、燃料性能和预测模型构建等方面的研究,以筛选出适合生产理想生物柴油的优良基因型。另一个重要的重点是强调控制不同种质油含量和FA谱差异的机制。通过与油合成基因转录水平和油积累量相关的交叉比较,鉴定了高质量油积累的潜在决定因素(酶、转运体或转录因子)和调控机制。结果:为筛选优质种质,揭示高产油调控机制,选择8株高产油树(编号LG01/02/03/04/05/06/07/08),评价其含油量、FA谱、生物柴油产率和燃料性能的差异,并建立燃料性能预测模型,结果显示其果实油含量差异(45.12 ~ 60.95%)。单不饱和脂肪酸(52.43 ~ 78.46%)和多不饱和脂肪酸(17.69 ~ 38.73%)与生物柴油产率(80.12 ~ 98.71%)的差异均显著。值得注意的是,LG06产油率最高(60.95%),生物柴油产率最高(98.71%),理想比例为C18:1(77.89%)、C18:2(14.16%)和C18:3(1.55%),表明LG06果实油最适合生产优质生物柴油。为了揭示不同品种油分和FA组成差异的分子机制,在不同品种上进行了油合成基因转录与油分积累量的定量关系,以确定一些重要的决定因素(酶;转运蛋白或转录因子),通过对我们最近的转录组数据和qRT-PCR检测的综合分析,建立了高质量石油积累的碳代谢调节模型。我们的研究结果可能为开发白乳酸菌果实油作为生物柴油的原料和设计其油脂积累提供策略。结论:本研究首次通过交叉配种评价,确定了生产理想生物柴油的理想配种,并通过油分积累量与油分合成基因转录的关系,确定了油分高产的关键决定因素(酶、转运体或转录因子),建立了油分高产的代谢调控模型。这一发现可为生物柴油资源开发和工程油藏开发提供分子基础。
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Evaluation of oil accumulation and biodiesel property of Lindera glauca fruits among different germplasms and revelation of high oil producing mechanism for developing biodiesel.

Background: Lindera glauca with rich resource and fruit oil has emerged as novel source of biodiesel in China, but different germplasms show a variation for fruit oil content and FA profile. To develop L. glauca fruit oils as biodiesel, a concurrent exploration of oil content, FA composition, biodiesel yield, fuel property and prediction model construction was conducted on the fruits from 8 plus germplasms to select superior genotype for ideal biodiesel production. Another vital focus was to highlight mechanism that govern the differences in oil content and FA profile of different germplasms. The cross-accessions comparisons associated with oil-synthesized gene transcriptional level and oil accumulative amount led to the identification of potential determinants (enzymes, transporters or transcription factors) and regulatory mechanisms responsible for high-quality oil accumulation.

Results: To select superior germplasm and unravel regulatory mechanism of high oil production for developing L. glauca fruit oils as biodiesel, 8 plus trees (accession LG01/02/03/04/05/06/07/08) with high-yield fruits were selected to evaluate the differences in oil content, FA profile, biodiesel yield and fuel property, and to construct fuel property prediction model, revealing a variation in the levels of fruit oil (45.12-60.95%), monounsaturated FA (52.43-78.46%) and polyunsaturated FA (17.69-38.73%), and biodiesel yield (80.12-98.71%) across different accessions. Of note, LG06 had a maximum yield of oil (60.95%) and biodiesel (98.71%), and ideal proportions of C18:1 (77.89%), C18:2 (14.16%) and C18:3 (1.55%), indicating that fruit oils from accession LG06 was the most suitable for high-quality biodiesel production. To highlight molecular mechanism that govern such differences in oil content and FA composition of different accessions, the quantitative relationship between oil-synthesized gene transcription and oil accumulative amount were conducted on different accessions to identify some vital determinants (enzymes, transporters or transcription factors) with a model of carbon metabolic regulatory for high-quality oil accumulation by an integrated analysis of our recent transcriptome data and qRT-PCR detection. Our findings may present strategies for developing L. glauca fruit oils as biodiesel feedstock and engineering its oil accumulation.

Conclusions: This is the first report on the cross-accessions evaluations of L. glauca fruit oils to determine ideal accession for producing ideal biodiesel, and the associations of oil accumulative amount with oil-synthesized gene transcription was performed to identify some crucial determinants (enzymes, transporters or transcription factors) with metabolic regulation model established for governing high oil production. Our finding may provide molecular basis for new strategies of developing biodiesel resource and engineering oil accumulation.

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