By a News Reporter-Staff News Editor at Life Science Weekly -- New research on Pattern Analysis is the subject of a report. According to news reporting originating in Orlando, Florida, by NewsRx journalists, research stated, "Plant triacylglycerols (TAGs), or vegetable oils, provide approximately 25% of dietary calories to humans and are becoming an increasingly important source of renewable bioenergy and industrial feedstocks. TAGs are assembled by multiple enzymes in the endoplasmic reticulum from building blocks that include an invariable glycerol backbone and variable fatty acyl chains."
The news reporters obtained a quote from the research from Sanford Burnham Medical Research Institute, "It remains a challenge to elucidate the mechanism of synthesis of hundreds of different TAG species in planta. One reason is the lack of an efficient analytical approach quantifying individual molecular species. Here we report a rapid and quantitative TAG profiling approach for Arabidopsis seeds based on electrospray ionization tandem mass spectrometry with direct infusion and multiple neutral loss scans. The levels of 93 TAG molecular species, identified by their acyl components, were determined in Arabidopsis seeds. Quantitative TAG pattern analyses revealed that the TAG assembly machinery preferentially produces TAGs with one elongated fatty acid. The importance of the selectivity in oil synthesis was consistent with an observation that an Arabidopsis mutant overexpressing a patatin-like phospholipase had enhanced seed oil content with elongated fatty acids."
According to the news reporters, the research concluded: "This quantitative TAG profiling approach should facilitate investigations aimed at understanding the biochemical mechanisms of TAG metabolism in plants."
For more information on this research see: Quantitative profiling and pattern analysis of triacylglycerol species in Arabidopsis seeds by electrospray ionization mass spectrometry. Plant Journal, 2014;77(1):160-172. Plant Journal can be contacted at: Wiley-Blackwell, 111 River St, Hoboken 07030-5774, NJ, USA. (Wiley-Blackwell - www.wiley.com/; Plant Journal - onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-313X)
Our news correspondents report that additional information may be obtained by contacting M.Y. Li, Sanford Burnham Med Res Inst, Diabet & Obes Res Center, Orlando, FL 32827, United States. Additional authors for this research include E. Baughman, M.R. Roth, X.L. Han, R. Welti and X.M. Wang (see also Pattern Analysis).
Keywords for this news article include: Orlando, Florida, United States, Machine Learning, Pattern Analysis, Emerging Technologies, North and Central America
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