湖流域土壤微生物基因组总DNA分离纯化及其质粒文库的初步构建

采用研磨／冻融和SDV蛋白酶K热处理以及CTAB处理等理化方法，直接从太湖流域土壤样品中抽提得到微生物总基因组DNA，所得粗DNA用透析袋法以及Nucleaotrap suspension DNA纯化试剂盒进行了纯化，纯化过的DNA能够满是常用限制性内切酶酶切、细菌16S rDNA通用引物和随机引物进行PCR扩增的要求，将所得纯品DNA经过EcoRI部分酶切之后与酶切并脱磷酸的pSK^ 空载体连接，再以大肠杆菌JM109为宿主细胞初步构建了土壤微生物基因组文库，图6参7     

Recycling greenhouse gas fossil fuel emissions into low radiocarbon food products to reduce human genetic damage

Radiocarbon from nuclear fallout is a known health risk. However, corresponding risks from natural background radiocarbon incorporated directly into human genetic material have not been fully appreciated. Here we show that the average person will experience between 3.4 × 10¹⁰ and 3.4 × 10¹¹ lifetime chromosomal damage events from natural background radiocarbon incorporated into DNA and histones, potentially leading to cancer, birth defects, or accelerated aging. This human genetic damage can be significantly reduced using low radiocarbon foods produced by growing plants in CO₂ recycled from ordinary industrial greenhouse gas fossil fuel emissions, providing additional incentive for the carbon sequestration.     

狼蛛优势种群的12S rRNA对长期农药胁迫的分子响应

应用12SrRNA基因序列分析探讨了狼蛛优势种群对长期农药胁迫的分子响应机制.研究显示:(1)拟水狼蛛Piratasubpiraticus和拟环纹豹蛛Pardosapseudoannulata在长期农药胁迫下的12SrRNA基因第三结构域序列均发生了明显改变,即碱基组成由315bp和300bp分别减少为301bp和299bp,转换/颠换为17/5和11/10,核苷酸变异百分数达到0.095和0.083,同源性仅分别为85.8%和91.7%;(2)分子水平上表明拟水狼蛛较拟环纹豹蛛对农药的胁迫更为敏感;(3)供试两种狼蛛标本的基因组DNA的4个碱基对中以A和T的变异频率最高,属农药敏感型碱基对;(4)长期农药胁迫下供试两种狼蛛标本的12SrRNA基因片段的共同突变位点规律显示:192～228片段是其农药胁迫的敏感区.图2表3参9     

二氧化硫亚慢性染毒对大鼠肺细胞DNA的损伤

为了探讨低浓度SO2长期暴露对哺乳动物肺细胞DNA的影响,采用动式吸入法(SO2浓度为28mg/m3)对Wistar大鼠染毒30d,运用单细胞凝胶电泳技术(彗星试验)研究了SO2亚慢性染毒对大鼠肺细胞DNA的损伤作用.结果表明,SO2可引起雌、雄性大鼠肺细胞核DNA迁移长度显著增加(P<0.01),且SO2对雄性小鼠肺细胞DNA损伤比雌性小鼠严重;经染毒后,与对照组相比,大鼠的体重减轻,肺体比增加.这些结果表明,较低浓度的SO2也具有引起哺乳动物肺细胞DNA突变的潜在危险.表3参15     

Relatedness, polyandry and extra-group paternity in the cooperatively-breeding white-browed scrubwren (Sericornis frontalis )

We used DNA fingerprinting to examine the genetic parentage and mating system of the cooperatively breeding white-browed scrubwren, Sericornis frontalis, in Canberra, Australia. Our analyses revealed a remarkable variety of mating tactics and social organization. Scrubwrens bred in pairs or multi-male groups that consisted of a female and two or more males. Females were always unrelated to the pair male or alpha (dominant) male. Among multi-male groups we found three different mating tactics. Firstly, when alpha and beta (subordinate) males were unrelated, they usually shared paternity in the brood. This resulted in both males gaining reproductive benefits directly. Secondly, when beta males were not related to the female but were related to the alpha males, beta males sired offspring in some broods. In this situation, beta males gained reproductive benefits both directly and potentially indirectly (through the related alpha male). Thirdly, when beta males were related to the female or both the female and alpha male, they remained on their natal territory and did not sire any offspring. Thus beta males gained only indirect reproductive benefits. Overall, when group members were related closely, the dominant male monopolized reproductive success, whereas when the members were not related closely the two males shared paternity equally. This positive association between monopolization of reproduction and relatedness is predicted by models of reproductive skew, but has not been reported previously within a single population of birds. Other cooperatively breeding birds with both closely related and unrelated helpers may show a similar variety of mating tactics. Finally, we found that extra-group paternity was more common in pairs (24% of young) than in multi-male groups (6%), and we discuss three possible reasons for this difference. Received: 21 May 1996 / Accepted after revision: 14 December 1996     

Lack of kin recognition in swarming honeybees ( Apis mellifera )

Honeybee colonies reproduce by colony fission and swarming. The primary swarm leaves the nest with the mated mother queen. Further “after-swarms” can leave the nest. These are composed of virgin queens and sister workers. Since all workers in the primary swarm have the same relationship to the mother queen, kin recognition cannot have any effect on the worker distribution in the swarm. Because of polyandry of the mother queen, the after-swarm is composed of super- and halfsister workers of the virgin queen. In this case kin recognition might affect swarm composition if workers increase their inclusive fitness by preferentially investing in a supersister queen. The distribution of workers in the mother colony, the primary and the after-swarm was analyzed using single-locus DNA fingerprinting in two colonies of the honeybee (Apis mellifera). The colonies were composed of 21 and 24 worker subfamilies because of multiple mating of the queen. The subfamily distribution in the mother colonies before swarming was significantly different from the subfamily frequencies in the primary swarm. This indicates different propensities for swarming in the various subfamilies. The subfamily distribution was also significantly different between the mother colony and the after-swarm. There was however no significant difference between the subfamily composition of the primary and the after-swarm. The average effects of kin recognition on the distribution of the subfamilies in the two after-swarms were less than 2%. We conclude that colony-level selection sets the evolutionary framework for swarming behaviour. Received: 22 May 1996 / Accepted after revision: 2 November 1996     

Integration of eDNA‐Based Biological Monitoring within the U.S. Geological Survey’s National Streamgage Network

This study explores the feasibility and utility of integrating environmental DNA (eDNA) assessments of species occurrences into the United States (U.S.) Geological Survey’s national streamgage network. We used an existing network of five gages in southwest Idaho to explore the type of information that could be gained as well as the associated costs and limitations. Hydrologic technicians were trained in eDNA sampling protocols and they collected samples during routine monthly visits to streamgages over an entire water year (2016). We analyzed the eDNA in the filtered water samples to determine the presence of two fish species: bull trout and rainbow trout. We then modeled the spatiotemporal distribution of each species using discharge and temperature data. To assess the influence of the spatial distribution of the gages on the biological information obtained, we also collected eDNA samples from locations between the gages three times during the water year. We found eDNA monitoring at the five gages provided meaningful information about the distribution of both species, especially when detection probabilities accounted for variations in temperature and discharge. Sampling between the gages provided additional information about bull trout distribution — the rarer of the two species. Our study suggests the integration of eDNA sampling into a streamgage network is feasible and could provide a novel and powerful source of biological information for riverine ecosystems in the U.S.