无花果曲霉发酵生产β-葡萄糖苷酶的动力学分析

在7L生物反应器的分批发酵中,通过对无花果曲霉UV-29液态发酵茵丝体的生长、基质消耗（以总糖计）及β-葡萄糖苷酶产生的特性研究,发现总糖是无花果曲霉生长的限制性基质;β-葡萄糖苷酶的增长趋势明显滞后于细胞生长的增长趋势,其发酵过程属于部分相关模型,即Ga—den提出的Ⅱ型发酵;基于logistic方程,建立了发酵动力学模型,同时对实验数据与模型进行了验证比较,模型计算值与实验数据拟合良好。在7L生物反应器的最大茵体生物量（干重）达到1．17g／100mL,β-葡萄糖苷酶最高酶活达到22．25IU／mL。     

综述与专论: 针对严重急性呼吸综合征冠状病毒2变异株Omicron的疫苗研究进展

2021年底,严重急性呼吸综合征冠状病毒2 Omicron变异株迅速取代Delta突变株在世界范围内广泛流行,其S蛋白具有36个位点突变,导致致病力和传播力发生明显变化,并且具备了免疫逃逸的能力。疫苗接种是目前疫情防控最普适的手段,研究发现,现有疫苗针对Omicron突变株的保护效果明显下降。新的免疫策略或特异性疫苗/多价疫苗针对Omicron有效性的评估均需要动物模型的支撑。在实验室条件下,利用动物模型进行活病毒攻击实验,是在体内验证保护性中和抗体、疫苗有效性的关键技术手段,本文将从动物模型方向综述国内外针对Omicron变异株的疫苗研究进展。     

An application of the theoretical group methods to modeling of complex systems

The applicability of theoretical group methods to studying complex physical and biological systems with the potential of self-organization was demonstrated. The problem of calculating climate sensitivity parameters taking into account the cyclone-anticyclone structure of the atmosphere optically dense in the infrared region is considered as an example.     

Acetic acid and acidification accelerate chronological and replicative aging in yeast

Comment on: Murakami C, et al. Cell Cycle 2012; 11:3087-96.     

鄱阳湖生态经济区生态系统服务价值预测与驱动力

鄱阳湖生态经济区是我国第一个上升到国家战略的生态经济区。利用鄱阳湖生态经济区2004、2008、2012、2016年的MODIS数据,获得4个对应期的土地利用/覆盖数据,参照修订的单位面积生态系统服务价值当量表与灰色GM(1,1)模型,预测了2016-2024年(间隔2 a)的生态系统服务价值数据,并对引起生态服系统务价值变化的驱动力进行了分析。结果表明,鄱阳湖生态经济区在2004-2016年间,草地、建设用地和未利用地面积增加,耕地、林地、水域面积减少,但2016-2024年的预测值变化率仅为-0.17%,表明该研究区生态系统服务价值即将进入一个相对稳定的状态;驱动力分析表明,人为综合干扰在空间分布上以中等影响强度干扰为主,城镇化率是区域总生态系统服务价值降低的首要驱动力,其次分别为非农业人口、人口密度、第一产业GDP、第二产业GDP、固定资产投资额、总GDP及第三产业GDP。建议加强土地利用规划与调控,控制城镇化建设用地扩展,调整产业结构、降低污染,促进鄱阳湖生态经济区总生态系统服务价值的提升。     

Technologies for integrating biological data

The process of building a new database relevant to some field of study in biomedicine involves transforming, integrating and cleansing multiple data sources, as well as adding new material and annotations. This paper reviews some of the requirements of a general solution to this data integration problem. Several representative technologies and approaches to data integration in biomedicine are surveyed. Then some interesting features that separate the more general data integration technologies from the more specialised ones are highlighted.     

Synchrony of Seed Dispersal, Hydrology and Local Climate in a Semi-arid River Reach in California

The temporal availability of propagules is a critical factor in sustaining pioneer riparian tree populations along snowmelt-driven rivers because seedling establishment is strongly linked to seasonal hydrology. River regulation in semi-arid regions threatens to decouple seed development and dispersal from the discharge regime to which they evolved. Using the lower Tuolumne River as a model system, we quantified and modeled propagule availability for Populus fremontii (POFR), Salix gooddingii (SAGO), and Salix exigua (SAEX), the tree and shrub species that dominate near-channel riparian stands in the San Joaquin Basin, CA. A degree-day model was fit to field data of seasonal seed density and local temperature from three sites in 2002–2004 to predict the onset of the peak dispersal period. To evaluate historical synchrony of seed dispersal and seasonal river hydrology, we compared peak spring runoff timing to modeled peak seed release periods for the last 75 years. The peak seed release period began on May 15 for POFR (range April 23–June 10), May 30 for SAGO (range May 19–June 11) and May 31 for SAEX (range May 8–June 30). Degree-day models for the onset of seed release reduced prediction error by 40–67% over day-of-year means; the models predicted best the interannual, versus site-to-site, variation in timing. The historical analysis suggests that POFR seed release coincided with peak runoff in almost all years, whereas SAGO and SAEX dispersal occurred during the spring flood recession. The degree-day modeling approach reduce uncertainty in dispersal timing and shows potential for guiding flow releases on regulated rivers to increase riparian tree recruitment at the lowest water cost.     

近40a甘肃省气候生产潜力时空变化特征

根据甘肃省69个气象站1971-2007年温度和降水资料,采用Miami模型、Thornthwaite Memorial模型计算了全省温度生产潜力、降水生产潜力和气候生产潜力,分析了影响气候生产潜力的气候驱动力,用经验正交函数(EOF)分析其时空变化特征。结果表明:温度生产潜力显著增加,降水生产潜力略有减少,平均气候生产潜力为733.86 kg · hm^-2 · a^-1,呈逐渐减少趋势。区域差异性明显,呈东南-西北递减,陇南山区＞陇东高原＞陇中高原＞甘南草原＞河西走廊,气候生产潜力以1997年为转型年。增湿和增温均有利于气候生产潜力的增加,但增湿增益更为显著,另气候的暖干化趋势是研究区气候生产潜力减少的重要原因。