Oil crop genetic modification for producing added value lipids
文献类型: 外文期刊
第一作者: Qi, Weicong
作者: Qi, Weicong;Lu, Haiying;Lu, Xin;Sheteiwy, Mohamed Salah Amr;Shao, Hongbo;Qi, Weicong;Zhang, Yang;Cheng, Jihua;Huang, Bangquan;Sheteiwy, Mohamed Salah Amr;Kuang, Shaoping;Shao, Hongbo;Shao, Hongbo
作者机构:
关键词: Plant lipid biosynthesis; metabolism engineering; very long chain fatty acids; polyunsaturated fatty acids; hydroxy fatty acids; conjugated fatty acids; wax ester
期刊名称:CRITICAL REVIEWS IN BIOTECHNOLOGY ( 影响因子:8.429; 五年影响因子:8.981 )
ISSN: 0738-8551
年卷期: 2020 年 40 卷 6 期
页码:
收录情况: SCI
摘要: Plant lipids, mainly stored in seeds and other plant parts, are not only a crucial resource for food and fodder but are also a promising alternative to fossil oils as a chemical industry feedstock. Oil crop cultivation and processing are always important parts of agriculture worldwide. Vegetable oils containing polyunsaturated fatty acids, very long chain fatty acids, conjugated fatty acids, hydroxy fatty acids and wax esters, have outstanding nutritional, lubricating, surfactant, and artificial-fibre-synthesis properties, amongst others. Enhancing the production of such specific lipid components is of economic interest. There has been a considerable amount of information reported about plant lipid biosynthesis, including identification of the pathway map of carbon flux, key enzymes (and the coding genes), and substrate affinities. Plant lipid biosynthesis engineering to produce special oil compounds has become feasible, although until now, only limited progress has been made in the laboratory. It is relatively easy to achieve the experimental objectives, for example, accumulating novel lipid compounds in given plant tissues facilitated by genetic modification. Applying such technologies to agricultural production is difficult, and the challenge is to make engineered crops economically attractive, which is impeded by only moderate success. To achieve this goal, more complicated and systematic strategies should be developed and discussed based on the relevant results currently available.
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