大熊猫犬瘟热病毒LG株的分离鉴定

为获得大熊猫犬瘟热病毒株,采集死亡大熊猫的心脏、肺、肝病料,研磨并反复冻融后收集上清液接种Vero细胞,待出现细胞病变(CPE)后,收集病毒液。用逆转录-聚合酶链反应(RT-PCR)鉴定病毒分离株,测定病毒TCID_(50),动物回归试验测定其毒力。结果显示,盲传到第5代时,Vero细胞出现圆缩、聚集、脱落等病变;PCR扩增出287bp片段,与预期相符;测序结果显示,该毒株与已发表的CDV SD(14)11毒株(亚洲-Ⅰ型)的同源性为98%;毒株的TCID_(50)为10~(-5.2)/mL;幼犬感染分离毒株后出现体温升高、鼻头发干、拉稀、眼鼻分泌出水样分泌物等症状。本研究成功分离出大熊猫源犬瘟热病毒株。     

鸡毒支原体研究概况

鸡毒支原体(MG)是对养禽业危害很大的支原体,主要导致禽类慢性呼吸道疾病(CRD),以禽的结膜炎、产蛋率及饲料转换率下降、屠宰率下降等为主要特征。MG可通过垂直和水平传播方式在鸡群中传播,每年给全球家禽产业带来巨大经济损失。随着对MG细胞表面抗原黏附素蛋白(pMGA)和PvpA、GapA的结构与功能研究的深入,K株、TG5株等MG疫苗研究也取得较大进展。由于抗生素的滥用,MG基因中也发生耐药突变,产生了QRDRs等抗药结构,导致MG在耐药性上也出现新的特点。论文主要对国内外MG的疫苗开发、耐药情况和检测技术等进行综述,旨在对家禽MG的综合防控提供借鉴。     

高致病性猪繁殖与呼吸综合征病毒双重液相基因芯片检测方法的建立

为了实现快速检测猪繁殖与呼吸综合征病毒(PRRSV)并同步鉴别高致病性PRRSV毒株(HPPRRSV),根据PRRSV囊膜蛋白GP2基因保守序列和HP-PRRSV特有的Nsp2基因区保守序列设计特异扩增引物和杂交探针,通过双重一步法RT-PCR不对称扩增和双重微球杂交反应,建立了双重液相基因芯片方法。对12株PRRSV以及其他12种猪病原体的检测显示,该法能特异性检测12株PRRSV毒株并准确鉴别其中7株HP-PRRSV,与其他病原体无交叉反应;对PRRSV、HP-PRRSV病毒液的检测低限均小于每个反应0.5TCID_(50);其组内、组间检测变异系数均10%;检测55份疑似临床样品并与商品化荧光RTPCR试剂盒比较检测结果,符合率达98.2%(54/55)。研究结果为适应临床快速检测PRRSV提供了一种新的分子生物学检测方法。     

基于PSR模型的兰州市土地生态安全时空差异评价

研究了兰州市2006~2013年土地生态安全的时空差异。主要依据PSR模型建立评价指标体系,运用熵权法与综合评价法对不同时期兰州市及各县区土地生态安全状况进行分析。结果表明:(1)兰州市土地生态安全由2006年的"恶劣"状态转变为2013年的"良好"状态;(2)土地生态压力指数从0.176下降为0.145,土地生态状态与土地生态响应指数分别从0.063、0.160提升到0.295、0.290;(3)区域内空间分布差异较为明显,土地生态状态改善与响应增强主要集中在土地生态压力过大的地方。据此可知,兰州市土地生态结构和功能基本完善,已步入良好阶段,但是各县区土地生态空间分布差异较大。     

6种灌木不同器官生物量及其碳、氮含量的分配特征

通过研究晋北地区草地黄刺玫、沙棘、荆条、酸枣、绣线菊和柠条等6种常见灌木的叶片、新生枝、老龄枝生物量及其碳、氮含量的分配特征,旨在为草地准确估算草地植物碳、氮循环提供依据。结果表明:黄刺玫的地上生物量最大,是酸枣的7倍。沙棘叶片生物量占地上生物量的比例最大;黄刺玫新生枝生物量占地上生物量的比例最大;柠条老龄枝生物量占地上生物量的比例最大。黄刺玫、沙棘和荆条的地上部分各器官生物量分配特征相似,由高到低表现为叶片、老龄枝、新生枝;绣线菊、酸枣和柠条的地上部分各器官生物量分配特征相似,由高到低表现为老龄枝、叶片、新生枝。6种灌木地上部分各器官碳含量差异不显著,氮含量分布由高到低为叶片、新生枝、老龄枝。     

放牧管理对西藏高寒沼泽植物群落结构和土壤碳氮的影响

对西藏当雄县3种不同放牧管理模式(冬季放牧、冬春季放牧和全年放牧)下的高寒沼泽的植物群落结构和土壤碳氮进行了调查。调查发现,3种放牧管理模式下的高寒沼泽植物群落总盖度差异不显著,而优势物种藏嵩草的高度和盖度差异显著;放牧管理对沼泽群落结构和物种多样性影响较大,随着放牧强度的增加,物种丰富度增加;放牧利用显著降低了高寒沼泽湿地群落优势物种藏嵩草的高度和盖度,其优势度也显著降低,使得高寒沼泽逐渐退化。冬季放牧、冬春季放牧和全年放牧沼泽地上生物量和地下生物量依次降低。同时,随着放牧强度的增加,高寒沼泽表层土壤有机碳氮的含量也显著降低,且高寒沼泽表层土壤碳氮与地上和地下生物量显著正相关。通过对比分析,冬季放牧是当前西藏高寒沼泽较好的放牧管理模式。     

Comparison of emission estimates for non‐CO2 greenhouse gases from livestock and poultry in Korea from 1990 to 2010

It has often been claimed that non‐carbon dioxide greenhouse gases (NCGGs), such as methane, nitrous oxide and fluorinated greenhouse gases, are significant contributors to climate change. Here we nvestigate emission estimates of methane and nitrous oxide from livestock and poultry production, which is recognized as a major source of those NCGGs, in Korea over the period of 1990 through 2010. Based on the data on livestock and poultry populations, emission estimates of methane and nitrous oxide are first derived based on the Tier 1 approach. Then, the Tier 2 approach is adopted to obtain emission estimates of methane and nitrous oxide from cattle, which are known to be the largest sources of these NCGGs and account for about 70% of emissions from livestock and poultry in Korea. The result indicates that the Tier 2 estimates of methane and nitrous oxide emissions from enteric fermentation and manure management are significantly different from the Tier 1 estimates over the analysis period.     

Influence of the Expert Effect on Cultural Models

We examined hunters’ perceptions of fauna to see if expert hunters and other hunters perceive wildlife abundance similarly. We used cultural consensus analysis (CCA) to assess the knowledge of 25 hunters in the Bolivian Amazon about the abundance of 38 animals. CCA indicated highly shared beliefs among hunters concerning wildlife abundance (average agreement = .62). However, expert hunters (as judged by their reported successful hunts of rare species, having hunted recently, and consuming more game in their diet) perceived more animals as abundant than did non-experts, although they all shared the same model. Since the expert hunters did not always agree on which species was more abundant, they had low cultural knowledge scores in CCA results. These experts may be unwilling to curtail hunting efforts on key species that they perceive to be abundant.     

Informing Community Engagement in Sea Turtle Conservation by Examining Non-Conservation-Related Participation in Northeast Brazil

Participation in conservation programs is often viewed as a necessity, but understanding of this participation is limited. This research takes a different approach by also examining participation in non-conservation-related activities. Questionnaires (N = 339) were administered in four Brazilian coastal communities where the national sea turtle conservation project conducts monitoring and outreach. Employing social capital as a conceptual framework, measurements included participation in civic, community, and social activities along with group participation and collective action. Confirmatory factor analysis was used for validating measures of social capital and conservation perceptions. Structural equation modeling indicated that social capital has a positive relationship with participation in sea turtle conservation, suggesting that general levels of participation and community norms of participation could be just as influential as conservation perceptions to engage communities in conservation. Information gained by deconstructing participation may be used to design and target conservation programs, improving overall participation.