A 24-h photoperiod before gene transfer promotes biomass production but not the yield of influenza hemagglutinin transiently expressed in Nicotiana benthamiana
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引用次数: 1
Abstract
The effects of continuous lighting (CL) before gene transfer on leaf biomass, leaf hemagglutinin (HA) content per biomass, and leaf HA content per plant in Nicotiana benthamiana after gene transfer were investigated in a transient gene expression system. A control photoperiod of 16 h d and an extended photoperiod of 24 h d were compared at two photosynthetic photon flux density (PPFD) levels of 200 and 400 μmol m s. Leaf biomass was greater in the 24 h d photoperiod treatments and 400 μmol m s PPFD treatments. The leaf HA content per biomass was smaller at 24 h d than at 16 h d, indicating that CL before gene transfer had a negative impact on leaf HA accumulation per biomass after gene transfer. There was no significant difference in leaf HA content per biomass between 200 and 400 μmol m s PPFD. As a result, the leaf HA content per plant was significantly greater in the high PPFD treatments but not significantly different between photoperiod treatments. The results indicate that a simple approach of applying CL before gene transfer increases biomass but not the HA yield and is thus not necessarily cost‐effective in the plant‐based recombinant protein production system.
在瞬时基因表达系统中,研究了基因转移前连续光照(CL)对烟叶生物量、单株血凝素(HA)含量和基因转移后单株HA含量的影响。在200 μmol m s和400 μmol m s的光合光子通量(PPFD)水平下,对照光周期为16 h d和延长光周期为24 h d,叶片生物量在24 h d光周期处理和400 μmol m s PPFD处理下较大。24 h时叶片每生物量HA含量低于16 h时,说明基因转移前的CL对基因转移后叶片每生物量HA积累有负向影响。200 μmol m s PPFD和400 μmol m s PPFD对每生物量叶片HA含量无显著影响。结果表明,高PPFD处理单株叶片HA含量显著高于高PPFD处理,但不同光周期处理间差异不显著。结果表明,在基因转移之前施用CL的简单方法增加了生物量,但不能提高HA产量,因此在基于植物的重组蛋白生产系统中不一定具有成本效益。
期刊介绍:
For over 70 years, the Journal of Agricultural Meteorology has published original papers and review articles on the science of physical and biological processes in natural and managed ecosystems. Published topics include, but are not limited to, weather disasters, local climate, micrometeorology, climate change, soil environment, plant phenology, plant response to environmental change, crop growth and yield prediction, instrumentation, and environmental control across a wide range of managed ecosystems, from open fields to greenhouses and plant factories.