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利用脂质组学揭示油菜(甘蓝型油菜)发育种子中脂类积累的细节。

Using lipidomics to reveal details of lipid accumulation in developing seeds from oilseed rape (Brassica napus L.).

机构信息

School of Biosciences, Cardiff University, Cardiff CF10 3AX, UK.

Department of Biochemistry, National University of Singapore, Singapore 117587, Singapore; Singapore Lipidomics Incubator (SLING), Life Sciences Institute, National University of Singapore, Singapore 117456, Singapore.

出版信息

Biochim Biophys Acta Mol Cell Biol Lipids. 2018 Mar;1863(3):339-348. doi: 10.1016/j.bbalip.2017.12.010. Epub 2017 Dec 22.

Abstract

With dwindling available agricultural land, concurrent with increased demand for oil, there is much current interest in raising oil crop productivity. We have been addressing this issue by studying the regulation of oil accumulation in oilseed rape (Brassica napus L). As part of this research we have carried out a detailed lipidomic analysis of developing seeds. The molecular species distribution in individual lipid classes revealed quite distinct patterns and showed where metabolic connections were important. As the seeds developed, the molecular species distributions changed, especially in the period of early (20days after flowering, DAF) to mid phase (27DAF) of oil accumulation. The patterns of molecular species of diacylglycerol, phosphatidylcholine and acyl-CoAs were used to predict the possible relative contributions of diacylglycerol acyltransferase (DGAT) and phospholipid:diacylglycerol acyltransferase to triacylglycerol production. Our calculations suggest that DGAT may hold a more important role in influencing the molecular composition of TAG. Enzyme selectivity had an important influence on the final molecular species patterns. Our data contribute significantly to our understanding of lipid accumulation in the world's third most important oil crop.

摘要

随着可利用农业用地的减少,以及对石油需求的增加,人们对提高油料作物产量产生了浓厚的兴趣。我们一直在通过研究油菜籽(甘蓝型油菜)中油脂积累的调控来解决这个问题。作为这项研究的一部分,我们对发育中的种子进行了详细的脂质组学分析。各脂质种类中单分子种类的分布呈现出截然不同的模式,表明了代谢连接的重要性。随着种子的发育,分子种类的分布发生了变化,尤其是在油脂积累的早期(开花后 20 天,DAF)到中期(27DAF)。二酰甘油、磷脂酰胆碱和酰基辅酶 A 的分子种类模式可用于预测二酰甘油酰基转移酶(DGAT)和磷脂:二酰甘油酰基转移酶对三酰甘油生成的可能相对贡献。我们的计算表明,DGAT 可能在影响 TAG 的分子组成方面发挥更重要的作用。酶的选择性对最终的分子种类模式有重要影响。我们的数据对理解世界上第三大重要油料作物的油脂积累有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b4/5791847/c7451a41bfb8/gr1.jpg

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