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Lipidomic analysis of Arabidopsis seed genetically engineered to contain DHA

Overview of attention for article published in Frontiers in Plant Science, September 2014
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Title
Lipidomic analysis of Arabidopsis seed genetically engineered to contain DHA
Published in
Frontiers in Plant Science, September 2014
DOI 10.3389/fpls.2014.00419
Pubmed ID
Authors

Xue-Rong Zhou, Damien L. Callahan, Pushkar Shrestha, Qing Liu, James R. Petrie, Surinder P. Singh

Abstract

Metabolic engineering of omega-3 long-chain (≥C20) polyunsaturated fatty acids (ω3 LC-PUFA) in oilseeds has been one of the key targets in recent years. By expressing a transgenic pathway for enhancing the synthesis of the ω3 LC-PUFA docosahexaenoic acid (DHA) from endogenous α-linolenic acid (ALA), we obtained the production of fish oil-like proportions of DHA in Arabidopsis seed oil. Liquid chromatography-mass spectrometry (LC-MS) was used to characterize the triacylglycerol (TAG), diacylglycerol (DAG) and phospholipid (PL) lipid classes in the transgenic and wild type Arabidopsis seeds at both developing and mature stages. The analysis identified the appearance of several abundant DHA-containing phosphatidylcholine (PC), DAG and TAG molecular species in mature seeds. The relative abundances of PL, DAG, and TAG species showed a preferred combination of LC-PUFA with ALA in the transgenic seeds, where LC-PUFA were esterified in positions usually occupied by 20:1ω9. Trace amounts of di-DHA PC and tri-DHA TAG were identified and confirmed by high resolution MS/MS. Studying the lipidome in transgenic seeds provided insights into where DHA accumulated and combined with other fatty acids of neutral and phospholipids from the developing and mature seeds.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 8 16%
Student > Master 6 12%
Student > Doctoral Student 3 6%
Student > Postgraduate 3 6%
Other 7 14%
Unknown 11 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 41%
Biochemistry, Genetics and Molecular Biology 8 16%
Chemistry 4 8%
Nursing and Health Professions 2 4%
Environmental Science 1 2%
Other 1 2%
Unknown 13 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 September 2014.
All research outputs
#20,235,415
of 22,761,738 outputs
Outputs from Frontiers in Plant Science
#15,960
of 20,060 outputs
Outputs of similar age
#198,747
of 237,234 outputs
Outputs of similar age from Frontiers in Plant Science
#138
of 167 outputs
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