社鼠（Niviventer confucianus）线粒体基因组全序列分析

社鼠（Niviventer confucianus）属于啮齿目（Rodentia）、鼠科（Muridae）、白腹鼠属（Niviventer）,关于该物种的分子系统学研究极少。为获取社鼠线粒体基因组全序列,提取其基因组总DNA,参照近缘物种线粒体基因组全序列设计34对特异性引物,利用PCR扩增全部片段后进行测序,之后对其基因组组成及结构特点进行了初步分析。结果表明,社鼠线粒体基因组全序列长16 281 bp（GenBank收录号：KJ152220）,包含22个tRNA基因、13个蛋白质编码基因、2个rRNA基因和1个非编码控制区;基因组核苷酸组成为34.0%A、28.6%T、24.9%C、12.5%G。将所得序列与社鼠近缘物种（川西白腹鼠、小家鼠、褐家鼠）的线粒体全基因组进行比较,结果显示,四个物种的线粒体基因组虽然在基因组大小、部分tRNA二级结构、部分蛋白质编码基因的起始或终止密码子及控制区长度和碱基组成上有差异,但基因组结构和序列特征方面都具有较高的相似性。四个物种线粒体全基因组间的遗传距离显示,社鼠与川西白腹鼠距离最近,而与小家鼠距离最远。该研究为利用线粒体全基因组信息进行啮齿类分子系统学研究提供了有价值的资料。     

Influence of spatially dependent,modeled soil carbon emission factors on life‐cycle greenhouse gas emissions of corn and cellulosic ethanol

Converting land to biofuel feedstock production incurs changes in soil organic carbon (SOC) that can influence biofuel life‐cycle greenhouse gas (GHG) emissions. Estimates of these land use change (LUC) and life‐cycle GHG emissions affect biofuels' attractiveness and eligibility under a number of renewable fuel policies in the USA and abroad. Modeling was used to refine the spatial resolution and depth extent of domestic estimates of SOC change for land (cropland, cropland pasture, grassland, and forest) conversion scenarios to biofuel crops (corn, corn stover, switchgrass, Miscanthus, poplar, and willow) at the county level in the USA. Results show that in most regions, conversions from cropland and cropland pasture to biofuel crops led to neutral or small levels of SOC sequestration, while conversion of grassland and forest generally caused net SOC loss. SOC change results were incorporated into the Greenhouse Gases, Regulated Emissions, and Energy use in Transportation (GREET) model to assess their influence on life‐cycle GHG emissions of corn and cellulosic ethanol. Total LUC GHG emissions (g CO₂eq MJ^?1) were 2.1–9.3 for corn‐, ?0.7 for corn stover‐, ?3.4 to 12.9 for switchgrass‐, and ?20.1 to ?6.2 for Miscanthus ethanol; these varied with SOC modeling assumptions applied. Extending the soil depth from 30 to 100 cm affected spatially explicit SOC change and overall LUC GHG emissions; however, the influence on LUC GHG emission estimates was less significant in corn and corn stover than cellulosic feedstocks. Total life‐cycle GHG emissions (g CO₂eq MJ^?1, 100 cm) were estimated to be 59–66 for corn ethanol, 14 for stover ethanol, 18–26 for switchgrass ethanol, and ?7 to ?0.6 for Miscanthus ethanol. The LUC GHG emissions associated with poplar‐ and willow‐derived ethanol may be higher than that for switchgrass ethanol due to lower biomass yield.     

An improved analysis of forest carbon dynamics using data assimilation

There are two broad approaches to quantifying landscape C dynamics – by measuring changes in C stocks over time, or by measuring fluxes of C directly. However, these data may be patchy, and have gaps or biases. An alternative approach to generating C budgets has been to use process‐based models, constructed to simulate the key processes involved in C exchange. However, the process of model building is arguably subjective, and parameters may be poorly defined. This paper demonstrates why data assimilation (DA) techniques – which combine stock and flux observations with a dynamic model – improve estimates of, and provide insights into, ecosystem carbon (C) exchanges. We use an ensemble Kalman filter (EnKF) to link a series of measurements with a simple box model of C transformations. Measurements were collected at a young ponderosa pine stand in central Oregon over a 3‐year period, and include eddy flux and soil CO₂ efflux data, litterfall collections, stem surveys, root and soil cores, and leaf area index data. The simple C model is a mass balance model with nine unknown parameters, tracking changes in C storage among five pools; foliar, wood and fine root pools in vegetation, and also fresh litter and soil organic matter (SOM) plus coarse woody debris pools. We nested the EnKF within an optimization routine to generate estimates from the data of the unknown parameters and the five initial conditions for the pools. The efficacy of the DA process can be judged by comparing the probability distributions of estimates produced with the EnKF analysis vs. those produced with reduced data or model alone. Using the model alone, estimated net ecosystem exchange of C (NEE)=?251±197 g C m^?2 over the 3 years, compared with an estimate of ?419±29 g C m^?2 when all observations were assimilated into the model. The uncertainty on daily measurements of NEE via eddy fluxes was estimated at 0.5 g C m^?2 day^?1, but the uncertainty on assimilated estimates averaged 0.47 g C m^?2 day^?1, and only exceeded 0.5 g C m^?2 day^?1 on days where neither eddy flux nor soil efflux data were available. In generating C budgets, the assimilation process reduced the uncertainties associated with using data or model alone and the forecasts of NEE were statistically unbiased estimates. The results of the analysis emphasize the importance of time series as constraints. Occasional, rare measurements of stocks have limited use in constraining the estimates of other components of the C cycle. Long time series are particularly crucial for improving the analysis of pools with long time constants, such as SOM, woody biomass, and woody debris. Long‐running forest stem surveys, and tree ring data, offer a rich resource that could be assimilated to provide an important constraint on C cycling of slow pools. For extending estimates of NEE across regions, DA can play a further important role, by assimilating remote‐sensing data into the analysis of C cycles. We show, via sensitivity analysis, how assimilating an estimate of photosynthesis – which might be provided indirectly by remotely sensed data – improves the analysis of NEE.     

中华蜜蜂dynactin p62基因的克隆及不同发育阶段表达分析

为探究中华蜜蜂Apis cerana cerana dynactin p62基因的表达特性, 本研究克隆了中华蜜蜂dynactin p62的基因组DNA序列(GenBank登录号： JX101463) 和mRNA序列（GenBank登录号： JX101464）; 采用荧光定量PCR检测了中华蜜蜂dynactin p62在不同发育时期（3日龄和6日龄幼虫、 刚羽化出房蜜蜂）三型蜂中mRNA的表达量。结果表明： 该基因基因组DNA序列全长为2 403 bp, mRNA序列全长为1 491 bp, 编码496个氨基酸残基, 预测的蛋白分子量为56.49 kD, 等电点为8.31。系统发育分析表明中华蜜蜂dynactin p62与西方蜜蜂Apis mellifera dynactin p62聚成一支。该基因在不同发育时期均有表达, 在雌性蜜蜂（蜂王和工蜂）中, 刚羽化成虫期的表达量显著高于幼虫期(P<0.05), 并且同一发育时期相比, 工蜂的表达量显著高于蜂王(P<0.05); 而该基因在雄蜂中表达量没有明显的规律性。这些结果提示该基因可能与中华蜜蜂级型分化有关。     

Food‐web structure and mercury dynamics in a large subarctic lake following multiple species introductions

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