Mixture design as a potential tool in modeling the effect of light wavelength on Dunaliella salina cultivation: an alternative solution to increase microalgae lipid productivity for biodiesel production

Abstract

For a feasible microalgae biodiesel, increasing lipid productivity is a key parameter. An important cultivation parameter is light wavelength (λ). It can affect microalgal growth, lipid yield, and fatty acid composition. In the current study, the mixture design was used as an alternative to model the influence of the λ on the Dunaliella salina lipid productivity. The illumination was considered to be the mixture of different λ (the light colors blue, red, and green). All experiments were performed with and without sodium acetate (4?g/L), as carbon source, allowing the identification of the impact of the cultivation regimen (autotrophic or mixotrophic). Without sodium acetate, the highest lipid productivity was obtained using blue and red light. The use of mixotrophic cultivations significantly enhanced the results. The optimum obtained result was mixotrophic cultivation under 65% blue and 35% green light, resulting in biomass productivity of 105.06 mgL^?1day^?1, a lipid productivity of 53.47 mgL^?1day^?1, and lipid content of 50.89%. The main fatty acids of the oil obtained in this cultivation were oleic acid (36.52%) and palmitic acid (18.31%).     

蛋白质核心设计的序列组合文库筛选方法

本文提出一种新的蛋白质序列组合文库筛选方法,异型自系统最优法,用于从头设计蛋白质核心。经λ－阻遏蛋白、噬菌体４３４ＣＲＯ蛋白、白介素－４、硫氧还蛋白、泛肽等的检验,表明此方法用于从头设计蛋白质的核心是可行的。     

氮源和真菌诱导子对铁皮石斛原球茎悬浮培养的影响

利用正交实验设计研究不同种类和浓度的氮源对铁皮石斛原球茎生长的影响,利用完全随机实验设计研究不同真菌诱导子对铁皮石斛原球茎生长和多糖积累的影响.结果表明硝态氮促进铁皮石斛原球茎鲜重和干重的增加( P ＜0.05);铵态氮促进铁皮石斛原球茎鲜重增加( P ＜0.05).无论鲜重还是干重,硝态氮和铵态氮的影响均不存在互作,最佳组合为:67-V培养液 100 mg/L (NH4)2SO4 800 mg/L KNO3 30 g/L蔗糖 200 g/L马铃薯提取汁.F检验的结果表明,14种真菌诱导子对铁皮石斛原球茎生物量的增加(鲜重与干重)均无显著性影响( P ＞0.05).但与对照铁皮石斛原球茎的多糖含量相比,真菌诱导子g6、g14、g5、g4处理可使其多糖含量分别提高14%、9%、6%、4%.本研究获得了有利于铁皮石斛原球茎生长的硝态氮和铵态氮的最佳搭配方案以及有利于铁皮石斛原球茎积累多糖的四种真菌诱导子,表明通过液体悬浮培养生产铁皮石斛原球茎及其多糖成分具有较好的开发应用前景.     

响应面法优化松茸发酵产多糖的培养条件

运用响应面法对松茸产多糖的发酵培养条件进行优化研究。首先根据C、N源实验结果,利用Plackett-Bur-man设计,对影响多糖产量的相关因素进行评估,筛选出具有显著效应的3个因素:玉米粉、豆粕和KH2PO4。在此基础上,利用最陡爬坡试验逼近以上3个因素的最大响应区域,采用Box-Behnken设计法对各因素的水平组合进行优化,获得松茸产多糖优化发酵的培养条件:玉米粉质量分数4.54%,豆粕质量分数4.96%,KH2PO4质量分数0.15%,MgSO4.7H2O质量分数0.05%,VB1质量分数0.001%,初始pH5.5,摇床转速180 r/min,发酵时间10 d。在此优化培养条件下松茸总多糖产量可达5.97 g/L。     

理性设计盐桥构建伯克霍尔德菌脂肪酶热稳定突变体

【目的】借助蛋白质工程技术提高伯克霍尔德菌ZYB002脂肪酶LipA的热稳定性,以期更好地将其应用于工业生产中。【方法】利用YASARA、Fold X、Rosetta、Gromacs等生物信息学软件,构建1个脂肪酶Lip A的热稳定性提高的微型突变体电子文库;通过对突变体的结构信息和自由能变化进行评估,筛选出潜在的有价值的突变体。继而利用基因定点突变技术,构建上述候选突变体的突变基因文库,通过实验筛选出热稳定性提高的脂肪酶LipA突变体。【结果】利用上述方法,从构建的20个脂肪酶LipA突变体中,筛选到热稳定性有显著提高的3个突变体LipA-Asn~(125)Asp、LipA-Asn~(125)Glu和LipA-Gln~(262)Glu。经55°C处理12 min后,上述3个突变体的T1250值较野生型分别提高4.0°C、5.5°C和4.4°C;在55°C下的半衰期较野生型分别提高了2.2倍、3.8倍和2.6倍。【结论】利用生物信息学软件,构建脂肪酶LipA突变体电子文库,结合蛋白质的结构信息,可以快速筛选到热稳定性提高的脂肪酶LipA突变体。     

生物成长记录袋的设计与评价

促进学生成长,已成为新课程推进与实施的关键,通过建立“学生成长记录袋“对学生实施全面综合性评价.介绍了学生生物学科“成长记录袋“的设计、使用和评价的一些情况.     

酚酸类物质的抑草效应分析

运用正交旋转回归试验设计分析5种常见的化感物质替代物水饧酸、对羟基苯甲酸、肉桂酸、香草酸和阿魏酸对田间伴生杂草稗草的抑制效应．结果表明,肉桂酸对稗草根长抑制率的影响最显著。其关系函数的二次项系数为-6．18,达极显著水平,水杨酸、对羟基苯甲酸和阿魏酸对稗草根长的抑制效应趋势与肉桂酸相同,效应曲线均为“n”形抛物线;而香草酸的效应曲线则为“U”形抛物线．当水饧酸、对羟基苯甲酸、肉桂酸、香草酸和阿魏酸浓度水平分别为0．06、0．60、0．24、0．02和0．02mmol·L^-1时,混合物对稗草根长的抑制率最大,达到78．65％。     

西部高寒湿地系统的草地资源保护与优化利用模式研究

西部高寒湿地系统的草地资源保护与优化利用问题,是我国生态环境建设中倍受重视的科学问题。本研究以甘南的高寒湿地为研究对象,分析了高寒草地资源变化的时空分布特征及其在环境条件影响下的增长动态,采用生物控制论方法,组建了草地资源保护模型及草地放牧系统的最优控制模型。依据在甘南玛曲县高寒草地的调查结果,分别对其山地草原化草甸、山地典型草甸和沼泽草甸等草地资源的利用,建立了相应的保护指标。确定了该草地放牧系统的最优牧草资源水平和最优控制量,提出了草地资源优化利用的管理对策与措施,为草地放牧管理提供了优化模式和定量依据。     

Chemical genomics: a challenge for de novo drug design

De novo design provides an in silico toolkit for the design of novel small molecular structures to a set of specified structural constraints. With the avalanche of bioinformatics data, de novo design is ideally suited for exploring molecules that could be useful for chemical genomics. The design process involves manipulation of the input, modification of structural constraints, and further processing of the de novo generated molecules using various modular toolkits. The development of a theoretical framework for each of these stages will provide novel practical solutions to the problem of creating compounds with maximal chemical diversity. This short review describes the fundamental problems encountered in the application of novel chemical design technologies to chemical genomics by means of a formal representation. This notation helps to outline and clarify ideas and hypotheses that can then be explored using mathematical algorithms. It is only by developing this rigorous foundation that in silico design can progress in a rational way.     

Adapting Stand‐Alone Renewable Energy Technologies for the Circular Economy through Eco‐Design and Recycling

Renewable energy (RE) technologies are looked upon favorably to provide for future energy demands and reduce greenhouse gas (GHG) emissions. However, the installation of these technologies requires large quantities of finite material resources. We apply life cycle assessment to 100 years of electricity generation from three stand‐alone RE technologies—solar photovoltaics, run‐of‐river hydro, and wind—to evaluate environmental burden profiles against baseline electricity generation from fossil fuels. We then devised scenarios to incorporate circular economy (CE) improvements targeting hotspots in systems’ life cycle, specifically (1) improved recycling rates for raw materials and (ii) the application of eco‐design. Hydro presented the lowest environmental burdens per kilowatt‐hour of electricity generation compared with other RE technologies, owing to its higher efficiency and longer life spans for main components. Distinct results were observed in the environmental performance of each system based on the consideration of improved recycling rates and eco‐design. CE measures produced similar modest savings in already low GHG emissions burdens for each technology, while eco‐design specifically had the potential to provide significant savings in abiotic resource depletion. Further research to explore the full potential of CE measures for RE technologies will curtail the resource intensity of RE technologies required to mitigate climate change.