首页> 美国卫生研究院文献>Biotechnology for Biofuels >RNA-Seq transcriptomic analysis with Bag2D software identifies key pathways enhancing lipid yield in a high lipid-producing mutant of the non-model green alga Dunaliella tertiolecta
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RNA-Seq transcriptomic analysis with Bag2D software identifies key pathways enhancing lipid yield in a high lipid-producing mutant of the non-model green alga Dunaliella tertiolecta

机译:使用Bag2D软件进行RNA-Seq转录组学分析可确定非模型绿藻杜氏杜氏藻高产脂质突变体中提高脂质产量的关键途径

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摘要

BackgroundFor many years, increasing demands for fossil fuels have met with limited supply. As a potential substitute and renewable source of biofuel feedstock, microalgae have received significant attention. However, few of the current algal species produce high lipid yields to be commercially viable. To discover more high yielding strains, next-generation sequencing technology is used to elucidate lipid synthetic pathways and energy metabolism involved in lipid yield. When subjected to manipulation by genetic and metabolic engineering, enhancement of such pathways may further enhance lipid yield.
机译:背景技术多年来,对化石燃料的日益增长的需求已经满足了有限的供应。作为生物燃料原料的潜在替代品和可再生资源,微藻受到了广泛关注。但是,目前很少有藻类能够产生高脂质产量,从而在商业上可行。为了发现更多高产菌株,下一代测序技术用于阐明脂质合成途径和涉及脂质产量的能量代谢。当通过遗传和代谢工程进行操作时,此类途径的增强可进一步提高脂质产量。

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