Literature DB >> 11800570

Metabolic engineering of fatty acid biosynthesis in plants.

Jay J Thelen1, John B Ohlrogge.   

Abstract

Fatty acids are the most abundant form of reduced carbon chains available from nature and have diverse uses ranging from food to industrial feedstocks. Plants represent a significant renewable source of fatty acids because many species accumulate them in the form of triacylglycerol as major storage components in seeds. With the advent of plant transformation technology, metabolic engineering of oilseed fatty acids has become possible and transgenic plant oils represent some of the first successes in design of modified plant products. Directed gene down-regulation strategies have enabled the specific tailoring of common fatty acids in several oilseed crops. In addition, transfer of novel fatty acid biosynthetic genes from noncommercial plants has allowed the production of novel oil compositions in oilseed crops. These and future endeavors aim to produce seeds higher in oil content as well as new oils that are more stable, are healthier for humans, and can serve as a renewable source of industrial commodities. Large-scale new industrial uses of engineered plant oils are on the horizon but will require a better understanding of factors that limit the accumulation of unusual fatty acid structures in seeds.

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Year:  2002        PMID: 11800570     DOI: 10.1006/mben.2001.0204

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  103 in total

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9.  Expression of rapeseed microsomal lysophosphatidic acid acyltransferase isozymes enhances seed oil content in Arabidopsis.

Authors:  Sylvie Maisonneuve; Jean-Jacques Bessoule; René Lessire; Michel Delseny; Thomas J Roscoe
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10.  Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels.

Authors:  Hui Li; Zhiyu Peng; Xiaohong Yang; Weidong Wang; Junjie Fu; Jianhua Wang; Yingjia Han; Yuchao Chai; Tingting Guo; Ning Yang; Jie Liu; Marilyn L Warburton; Yanbing Cheng; Xiaomin Hao; Pan Zhang; Jinyang Zhao; Yunjun Liu; Guoying Wang; Jiansheng Li; Jianbing Yan
Journal:  Nat Genet       Date:  2012-12-16       Impact factor: 38.330

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