气候变化对藏药独一味适生区分布格局的影响

本研究通过实地调查，运用最大熵（MaxEnt）模型和环境气候数据模拟未来气候变化对青藏高原地区藏药独一味（Lamiophlomis rotata（Benth.）Kudo）适生区空间分布格局的影响，探索其适生区变迁规律。通过ArcGIS和SPSS对模拟结果分析显示，当前气候条件下独一味最适宜生长地区主要分布于青藏高原地区的四川与西藏，甘肃与青海交界处，占青藏高原总面积的24.87%，其中西藏自治区适生区面积最大，其次是四川和青海，甘肃和云南占比最小；未来气候变化使适生区几何中心向西南方向迁移97.1 km，且海拔上升267 m；气候变化带来的适生区扩大面积约为退化面积的2倍，各省适生区面积均呈现增加，西藏增加最多，其次是四川，青海略有增加，云南和甘肃变化不大；如果气候变暖持续发生，人工引种驯化应选择海拔相对较高区域，而低海拔地区由于退化风险，应作为物种保护区域重点监测。本研究将为气候敏感地区野生濒危药用植物的引种驯化及资源保护提供参考依据。     

Landscape pattern changes over 25 years across a hotspot zone in southern Brazil

Forest fragmentation caused by human activities has many implications for natural landscapes, such as habitat reduction and the loss of biodiversity. This study investigated the temporal fragmentation process of forest remnants in a strongly agro-industrialised region in southern Brazil over 25 years. The studied watershed area hosts two important typologies of the Atlantic Forest biome as well as Quaternary remnants of the Brazilian Savanna biome, which are considered hotspots of biodiversity and reflect the intense process of forest fragmentation caused by Brazilian urban and agro-industrial development. Thus, studies encompassing multitemporal scales are paramount to understanding changes in forest patterns and are fundamental for trend predictions of landscape dynamics. To perform the calculation of the mean normalised difference vegetation index, Landsat satellite images from 1991 to 2016 were processed using SPRING® software. Subsequently, FRAGSTATS® software was used to calculate landscape metrics. A reduction in the number of forest fragments since 1991 was observed, with a maximum amount of 5 243 fragments in 1993 that declined to 4 015 fragments in 2016. Although the number of fragments in the watershed decreased, the mean area increased by 72.9% and the mean of the shape index increased from 1.3 in 1991 to 1.5 in 2016. In addition, there was a 64.7% increase in the edge density and a reduction of 35.6 m in the isolation between the nearest neighbours. The degree of isolation of the fragments underwent a process of expansion and reduction when compared to 1991, presenting results that support the hypothesis that the Atlantic Forest is in a process of stabilisation and forest restoration.     

正交设计优化青蒿SRAP-PCR反应体系及引物筛选

为了建立青蒿的SRAP最佳扩增体系,并筛选出SRAP多态性引物,本研究以青蒿叶片DNA为模板,采用正交试验设计,以Mg^2+、dNTP Mix、Taq DNA聚合酶、引物和DNA模板5种因素5个水平,对青蒿SRAP反应体系进行研究。结果表明,青蒿SRAP-PCR最佳反应体系为:引物0.6μmol/L、Mg^2+2.0 mmol/L、模板DNA 5.1 ng、Taq DNA聚合酶2.0 U、dNTPs 0.25 mmol/L,总体积为25μL。各因素对扩增反应均有不同影响,其中引物浓度的影响最大,dNTPs的影响最小。运用该体系对不同种质资源的青蒿进行验证,证明该体系稳定可靠,并在30个引物组合中筛选出了25对扩增条带清晰,多态性丰富的引物组合。这一结论为今后利用SRAP标记技术进行青蒿分子遗传学研究提供了科学依据。     

基于GIS的福建省将乐县土壤侵蚀及保持定量分析

【目的】对福建省将乐县土壤侵蚀及保持量现状进行定量分析,为该地区制定森林经营方案及水土保持工作提供依据。【方法】以福建省将乐县为研究区,首先建立降雨侵蚀力因子(R)图层、土壤可蚀性因子(K)图层、坡长坡度因子(LS)图层,然后依据实际土地覆盖类型和植被覆盖度构建植被覆盖或作物管理因子(C)图层和水土保持措施因子(P)图层。基于地理信息系统(GIS)和修正的土壤通用侵蚀方程(RUSLE)估算土壤侵蚀量和保持量,定量分析坡度(0°,90°)、土地覆盖类型与土壤侵蚀强度之间的相关关系。【结果】2015年研究区的现实侵蚀量为42.64×10~4t/年,平均土壤侵蚀模数为189.07t/(km~2·年)。从6种土壤侵蚀类型来看,微度侵蚀面积占研究区总面积的88.31%,轻度侵蚀面积占10.36%,中度侵蚀面积占1.13%,这3种侵蚀类型的侵蚀量占侵蚀总量的比例分别为12.43%,60.44%和19.79%;强度、极强度、剧烈侵蚀面积及侵蚀量所占比例均较小。各侵蚀等级在研究区内的空间分布较为均匀,总体来说中部、北部地区侵蚀量较大。7个坡度带中,土壤侵蚀量所占比例较大的是[15°,25°)、[8°,15°)和[25°,35°)坡度带,其面积所占比例分别为35.63%,23.95%和17.53%,侵蚀量所占比例分别为44.68%,24.63%和20.90%。研究区年均土壤保持量为6.98×10~6 t,每km~2土壤保持量为3 099.36t/年;有林地和稀疏植被的每km~2土壤保持量均较高,分别为3 773.58和22 254.39t/年,明显高于其他土地覆盖类型。【结论】将乐县微度侵蚀面积所占比例最大,轻度侵蚀的侵蚀量所占比例最大;森林和稀疏植被对将乐县的土壤保持量贡献最大,进行皆伐作业设计时应该尽量减小皆伐面积。     

中国樱桃InDel标记开发及其在蔷薇科果树中通用性评价

对栽培和野生中国樱桃进行De novo基因组测序和比对，在全基因组范围内检测筛选出50 617个InDel位点，并挑选均匀分布的200个标记进行验证，其中，27个标记在中国樱桃种内表现出多态性。利用多态性标记，对不同来源的192份中国樱桃（168份栽培和24份野生）种质进行基因型分型，共检测到60个等位基因（N_a），平均每个标记2.2个；基因多样性指数（H_s）为0.010 ~ 0.500，平均0.239；多态性信息含量（PIC）为0.010 ~ 0.375，平均0.198，表明中国樱桃遗传基础相对狭窄。根据聚类结果和地理分布将192份中国樱桃种质大致划分为5个群体。筛选出在蔷薇科李亚科樱属、李属、桃属、杏属、苹果亚科梨属、苹果属和蔷薇亚科草莓属、悬钩子属等重要果树共8个属156个个体中表现出较好通用性标记34个。物种与中国樱桃亲缘关系越近，InDel标记的多态性越高。     

大花君子兰叶绿体基因组及其特征

采用Illumina MiSeq测序平台对大花君子兰（Clivia miniata）叶片总DNA进行测序，通过组装获得了其叶绿体基因组（cpDNA）全长序列（158 114 bp）。对其cpDNA注释得到135个基因，包含87个蛋白编码基因、40个tRNA基因和8个rRNA基因。采用生物信息学方法对获得的cpDNA进行简单序列重复（SSR）分析和密码子偏好性分析。结果显示：①大花君子兰cpDNA中共有61个SSR位点，其中单核苷酸、二核苷酸、三核苷酸、四核苷酸、五核苷酸和六核苷酸重复数分别为38、9、2、8、3和1个，多数SSR分布在基因间隔区；②大花君子兰cpDNA密码子偏爱以A或U（T）结尾，亮氨酸使用频率最高，半胱氨酸使用频率最低。基于24种植物的cpDNA全长和23种植物的叶绿体ycf2基因序列进行系统发育分析，结果显示大花君子兰与石蒜科植物在同一分支，显示最近的亲缘关系，支持大花君子兰属于石蒜科。基于叶绿体ycf2的系统发育分析结果与基于cpDNA全长的系统发育分析研究结果大部分相同，支持ycf2基因可以代替cpDNA全长用于植物系统发育分析。     

番茄斑萎病毒病抗性种质筛选及人工接种鉴定方法优化

对154份番茄材料(包括普通番茄76份,樱桃番茄78份)进行两年两次田间番茄斑萎病毒病的病情指数调查,筛选出14份对番茄斑萎病毒病具有稳定抗性的番茄材料,利用sw-5-2共显性SCAR标记对田间表现抗病的材料进行分子标记鉴定,发现3份抗病材料携带抗番茄斑萎病毒病的Sw-5基因。为缩短番茄斑萎病毒病人工接种鉴定周期,以含有sw-5的抗病材料H8和感病材料M82为研究对象,设置4、6、8、10片真叶4个接种时期,分别在接种后14、21、28 d进行病情指数调查和抗性分级,结果表明,6片真叶期接种,接种后28 d进行病情调查即可有效鉴别植株番茄斑萎病毒病抗性,与8、10片真叶期接种效果相同,人工接种抗病性鉴定效率显著提升。     

胡葱黄条病毒吉林毛葱分离物全基因组序列测定与分析

使用RT-PCR方法从吉林省疑似感染胡葱黄条病毒(Shallot yellow stripe virus,SYSV)的分蘖洋葱(毛葱)叶片中获得了SYSV吉林毛葱分离物SYSV-JL(MN607702)的全基因组序列。SYSV-JL的全长序列为10?427 nt,与GenBank已登录的3条SYSV全长或近全长序列在多个基因上保持着较高的序列一致性,但在P1基因上核苷酸和氨基酸序列一致性较低,分别为69.5%～84.2%和60.9%～76.9%,进一步通过变异分析发现,P1基因包含369个变异位点,表现出较为明显的高变异特征。系统发育分析显示,不同SYSV分离物具有较为明显的地区差异,SYSV-JL分离物与多个中国分离物系统发育关系较近。     

Physical forcing on fish abundance in the southern California Current System

The California Current System (CCS) is an eastern boundary current system with strong biological productivity largely due to seasonal wind‐driven upwelling and transport of the California Current (CC). Two independent, yet complementary time series, CalCOFI ichthyoplankton surveys and sampling of southern California power plant cooling‐water intakes, have indicated that an assemblage of predominantly cool‐water affinity fishes spanning nearshore to oceanic environments in the southern CCS has declined dramatically from the 1970s to the 2000s. We examined potential oceanographic drivers behind this decline both within and north of the CalCOFI survey area in order to capture upstream processes as well. Empirical orthogonal function (EOF) analyses using output from a data‐assimilative regional ocean model revealed significant relationships between the fish time series and spatial patterns of upwelling, upper ocean heat content and eddy kinetic energy in the CCS. Correlation and linear regression analyses indicated that the declining trend in fish abundance was correlated with a suite of factors: reduced offshore and increased inshore upwelling; a long term warming trend combined with more recent interannual variability in ocean temperature; weaker eddy kinetic energy north of Point Conception (35°N), potentially indicating reduced transport of the California Current (CC); increased influence of the California Undercurrent (CUC); and a decline in zooplankton displacement volume across the southern CCS. Understanding how changes in oceanography affect fish populations will offer insights into managing fisheries in a changing climate.