福建南北泥蚶种内分化的RAPD分析

采用随机扩增多态性DNA(RAPD)技术,对泥蚶在福建以南(广东汕头和湛江)和福建以北(浙江温岭和韩国)种群(分别合称南方类群和北方类群)做了遗传分化研究。由筛选出的20个随机引物共获得103个清晰可辨的RAPD标记,扩增片段长度在250—2500bp。汕头种群与湛江种群,韩国种群与温岭种群之间的最小遗传距离分别为0．0612和0．0692,而南、北类群间的遗传距离却在0．3261-0．4511。类群间近交系数也大于类群内。NJ和UPGMA法构建的系统树均显示汕头种群、湛江种群首先聚在一起,再与温岭种群和韩国种群聚合,说明两个类群发生了较明显的遗传分化,估计与地理隔离有关。     

黄曲条跳甲种群分化的RAPD分析

采用RAPD方法,对福建省19个不同菜区黄曲条跳甲地理种群的分化进行了研究。结果表明：相同种群采用相同引物进行扩增的重复性较好,不同种群采用相同引物进行扩增的差异性较高;19个不同菜区的黄曲条跳甲主要分为4个类群：闽东南沿海地区类群、闽西北地区类群、泉州类群和东山岛类群,黄曲条跳甲不同地理种群的遗传距离与地理距离有关。东山岛和泉州2个特异性类群的出现,说明地形、蔬菜种植以及农药使用等人为因子会影响其地理种群的分化。     

中国亚热带地区阔叶林植物的谱系地理历史

中国亚热带地区因丰富的植物物种多样性备受生物地理学研究关注,丰富的多样性与中新世以来的地质气候变化密切相关。谱系地理学已成为探讨植物分布模式和遗传格局受地质气候变化影响的主要手段。总结了该地区阔叶林植物对中新世以来地质气候变化的响应模式和种群分化的历史成因。在中新世和上新世时,由于全球变冷、青藏高原抬升和亚洲内陆干旱,阔叶林植物被迫向南退缩,形成不同的谱系。同时,亚洲季风的增强为遗传多样性的增加提供了良好的环境。在更新世冰期和间冰期时,大部分落叶阔叶林和常绿阔叶林植物在多个避难所间存在长期隔离,不同的避难所种群各自经历局部地区的收缩和扩张。长期的隔离使不同谱系间进一步分化,形成高水平的遗传多样性和遗传分化。少部分植物在冰期时向南退缩,并在间冰期时明显向北扩张。最后,就分化时间的准确估计和探究遗传格局背后的机制两方面展望了未来的研究趋势。     

青藏高原岷县龙胆的遗传分化与种群动态历史分析

青藏高原是全球生物多样性中心之一,是研究物种形成和适应性进化的热点地区。岷县龙胆（Gentiana algida var. purdomii）是青藏高原地区特有植物,具有很高的药用价值。本研究以岷县龙胆种群为对象,基于不同遗传方式的分子标记,通过种群遗传结构、遗传分化、种群动态历史和物种分布模型等分析,探讨其在青藏高原的分化历史。结果表明：岷县龙胆具有高的遗传多样性,叶绿体数据表明种内遗传分化程度很高（F_ST=0.452）,但核基因数据表明种内遗传分化程度很低（F_ST=0.022）,揭示岷县龙胆种内存在强烈的基因流。种群动态历史分析表明岷县龙胆种群大小经历了近期扩张,物种分布模型的结果表明岷县龙胆在末次盛冰期以来分布范围略有扩张。分子钟模型的结果表明岷县龙胆种内的遗传分化主要发生在第四纪冰期以来。以上结果一致表明,第四纪气候波动是岷县龙胆分化的主要外部因素。本研究为龙胆属及青藏高原植物类群的物种分化、适应性研究以及资源开发与保护提供了参考。     

青藏高原钻叶龙胆的遗传分化与种群动态历史研究

青藏高原是全球生物多样性中心之一,是研究物种形成和适应性进化的热点地区。龙胆属小龙胆组(Gentiana section Chondrophyllae s.l.)占整个龙胆属物种数目的近一半,以青藏高原为分化中心,但组内物种的遗传分化及其影响因素并不清楚。该研究以小龙胆组青藏高原特有植物——钻叶龙胆(G.haynaldii Kanitz)为研究对象,基于不同遗传方式的分子标记,通过种群遗传结构、遗传分化、种群动态历史和物种分布模型等分析,探讨其在青藏高原的分化历史。结果表明:(1)钻叶龙胆具有高的遗传多样性,种内遗传分化程度很高(叶绿体F_(ST)=0.532;ITS F_(ST)=0.511)。(2)钻叶龙胆种内的遗传分化主要发生在第四纪冰期以来,表明第四纪气候波动是钻叶龙胆分化的主要外部因素。(3)种群动态历史分析中,钻叶龙胆种群大小发生过扩张;物种分布模型分析表明,钻叶龙胆的分布区域在近期比较稳定,未发生明显扩张或收缩。该研究结果为龙胆属及青藏高原植物类群的物种分化和适应性研究提供了参考。     

不同地区棉铃虫种群DNA多态性的RAPD分析

通过对棉铃虫Helicoverpa armigera(Hubner)17个地理种群DNA多态性进行了RAPD分析,结果表明：棉铃虫可以分为四大类群,三亚(SY)、莎车(SC)和哈密(HM)种群各为独立的一类,与内地种群有明显的差异,其中三亚种群差异最大;第四类包含14个地理种群,它们之间相对分化较小,基因相似程度较高,特别是黄河流域和辽河流域南部的种群间遗传距离最小,无基因交流障碍。单个个体的RAPD分析表明,这些种群间的某些个体相互交错,进一步说明这些种群间可能存在着广泛的基因交流。最后还讨论了形成棉铃虫遗传多态性的主要原因,     

生境片断化对植物种群遗传结构的影响及植物遗传多样性保护

生境片断化是指大而连续的生境变成空间隔离的小种群的现象。生境片断化对植物种群遗传效应包括生境片断化过程中的取样效应及其后的小种群效应（遗传漂变、近交等）。理论研究表明,生境片断化后,植物种群的遗传变异程度将降低,而残留的小种群间的遗传分化程度将升高。然而对一些植物的研究表明,生境片断化对植物种群的遗传效应要受其他一些因素的影响,如世代长度、片断化时间、片断种群的大小、基因流的改变等。最后,针对生境     

岷江柏天然种群种实表型变异特征

运用巢式方差分析、变异系数、表型分化系数和聚类分析等多种分析方法,研究了11个岷江柏种群的13个种实表型性状在种群内和种群间的变异及其与环境因子间的关系,并对其进行了类群划分.结果表明: 岷江柏种实表型性状在种群间和种群内均存在显著差异,种群内的变异(49.7%)大于种群间的变异(28.6%),种间平均分化系数为43.4%,分化程度相对较大.球果质量的平均变异系数最高(37.2%),其次是单个球果种子质量,球果长的平均变异系数最小(8.0%),是最稳定的种实性状.康定县的表型多样性最丰富,武都县的最小.在岷江柏的研究区内,最热月的平均气温和生长季的水分条件是其种实表型的主要限制因子.依据13个种实表型性状将11个岷江柏天然种群分为2类3亚类,基本上代表了3个流域的种群分布情况.大渡河流域种群种实表型性状最佳,岷江流域最差.     

棉蚜(Aphis gossypii)种群寄主分化和季节分化的微卫星引物PCR研究

通过对棉蚜群体进行室外观察、室内培养和分子遗传标记的DNA多态性分析（用3个微卫星序列为引物进行PCR）等研究,结果表明：1、冬寄主（木槿、石榴和花椒）上棉蚜种群分化较小（种群相似笥指数在0.833-0.917之间）,而冬寄主种群和夏寄主（棉花和南瓜）种群之间有较大的分化（种群相似性指数在0.589-0.756之间）。2、棉蚜自然种群是由体色不变的生物型（干母为黄色,其后代始终为黄色）和体色可变型生物型（干母为绿色,其后代有绿色和黄色两种体色）组成的混合种群。3、黄色小型蚜（伏蚜）来源于混合类群,但主要来自绿色干母多代选择分化的黄色后代,也有小部分可能来处在干母黄色的体色不变型。     

概论植物种群克隆遗传-生态学的任务、性质和产生与发展

鉴于植物种群克隆遗传 -生态学研究日趋受到国内外广泛重视 ,已经开始成为植物种群生态学中一门新兴分枝学科。现就植物种群克隆遗传 -生态学的几个问题进行讨论。1　植物种群克隆遗传 -生态学植物克隆是“由遗传上相同的单元 (多指分株 (ramet) )组成的集合体 ,不管这些单元有     

Statistical phylogeography

While studies of phylogeography and speciation in the past have largely focused on the documentation or detection of significant patterns of population genetic structure, the emerging field of statistical phylogeography aims to infer the history and processes underlying that structure, and to provide objective, rather than ad hoc explanations. Methods for parameter estimation are now commonly used to make inferences about demographic past. Although these approaches are well developed statistically, they typically pay little attention to geographical history. In contrast, methods that seek to reconstruct phylogeographic history are able to consider many alternative geographical scenarios, but are primarily nonstatistical, making inferences about particular biological processes without explicit reference to stochastically derived expectations. We advocate the merging of these two traditions so that statistical phylogeographic methods can provide an accurate representation of the past, consider a diverse array of processes, and yet yield a statistical estimate of that history. We discuss various conceptual issues associated with statistical phylogeographic inferences, considering especially the stochasticity of population genetic processes and assessing the confidence of phylogeographic conclusions. To this end, we present some empirical examples that utilize a statistical phylogeographic approach, and then by contrasting results from a coalescent-based approach to those from Templeton's nested cladistic analysis (NCA), we illustrate the importance of assessing error. Because NCA does not assess error in its inferences about historical processes or contemporary gene flow, we performed a small-scale study using simulated data to examine how our conclusions might be affected by such unconsidered errors. NCA did not identify the processes used to simulate the data, confusing among deterministic processes and the stochastic sorting of gene lineages. There is as yet insufficient justification of NCA's ability to accurately infer or distinguish among alternative processes. We close with a discussion of some unresolved problems of current statistical phylogeographic methods to propose areas in need of future development.     

Pleistocene range dynamics in the eastern Greater Cape Floristic Region: A case study of the Little Karoo endemic Berkheya cuneata (Asteraceae)

The glacial–interglacial climate cycles of the Pleistocene played a significant role in dramatically altering species distributions across the globe. However, the climate of the Greater Cape Floristic Region is thought to have been decoupled from global fluctuations and the current Mediterranean climate remained relatively buffered during this period. Here we explore the roles of climate stability and the topographic complexity of the region on the range history of an endemic Little Karoo plant, Berkheya cuneata, using ensemble species distribution modelling and multi-locus phylogeography. The species distribution models projected onto downscaled climate simulation of the Last Glacial Maximum demonstrated a considerable range contraction and fragmentation into the western and eastern Little Karoo, separated by the Rooiberg inselberg. This population fragmentation is mirrored in the phylogeographic structuring of both chloroplast and nuclear DNA. These results suggest that sufficient climatic buffering coupled with regionally complex topography ensured the localised population persistence during Pleistocene climate cycles but these features have also promoted population vicariance in this, and likely other, Little Karoo lowland species.     

Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models

Species responses to climate change may be influenced by changes in available habitat, as well as population processes, species interactions and interactions between demographic and landscape dynamics. Current methods for assessing these responses fail to provide an integrated view of these influences because they deal with habitat change or population dynamics, but rarely both. In this study, we linked a time series of habitat suitability models with spatially explicit stochastic population models to explore factors that influence the viability of plant species populations under stable and changing climate scenarios in South African fynbos, a global biodiversity hot spot. Results indicate that complex interactions between life history, disturbance regime and distribution pattern mediate species extinction risks under climate change. Our novel mechanistic approach allows more complete and direct appraisal of future biotic responses than do static bioclimatic habitat modelling approaches, and will ultimately support development of more effective conservation strategies to mitigate biodiversity losses due to climate change.     

Spatiotemporal landscape genetics: Investigating ecology and evolution through space and time

Genetic time‐series data from historical samples greatly facilitate inference of past population dynamics and species evolution. Yet, although climate and landscape change are often touted as post‐hoc explanations of biological change, our understanding of past climate and landscape change influences on evolutionary processes is severely hindered by the limited application of methods that directly relate environmental change to species dynamics through time. Increased integration of spatiotemporal environmental and genetic data will revolutionize the interpretation of environmental influences on past population processes and the quantification of recent anthropogenic impacts on species, and vastly improve prediction of species responses under future climate change scenarios, yielding widespread revelations across evolutionary biology, landscape ecology and conservation genetics. This review encourages greater use of spatiotemporal landscape genetic analyses that explicitly link landscape, climate and genetic data through time by providing an overview of analytical approaches for integrating historical genetic and environmental data in five key research areas: population genetic structure, demography, phylogeography, metapopulation connectivity and adaptation. We also include a tabular summary of key methodological information, suggest approaches for mitigating the particular difficulties in applying these techniques to ancient DNA and palaeoclimate data, and highlight areas for future methodological development.     

In defence of model‐based inference in phylogeography

Recent papers have promoted the view that model‐based methods in general, and those based on Approximate Bayesian Computation (ABC) in particular, are flawed in a number of ways, and are therefore inappropriate for the analysis of phylogeographic data. These papers further argue that Nested Clade Phylogeographic Analysis (NCPA) offers the best approach in statistical phylogeography. In order to remove the confusion and misconceptions introduced by these papers, we justify and explain the reasoning behind model‐based inference. We argue that ABC is a statistically valid approach, alongside other computational statistical techniques that have been successfully used to infer parameters and compare models in population genetics. We also examine the NCPA method and highlight numerous deficiencies, either when used with single or multiple loci. We further show that the ages of clades are carelessly used to infer ages of demographic events, that these ages are estimated under a simple model of panmixia and population stationarity but are then used under different and unspecified models to test hypotheses, a usage the invalidates these testing procedures. We conclude by encouraging researchers to study and use model‐based inference in population genetics.     

植物分子群体遗传学研究动态

分子群体遗传学是当代进化生物学研究的支柱学科, 也是遗传育种和关于遗传关联作图和连锁分析的基础理论学科。分子群体遗传学是在经典群体遗传的基础上发展起来的, 它利用大分子主要是DNA序列的变异式样来研究群体的遗传结构及引起群体遗传变化的因素与群体遗传结构的关系, 从而使得遗传学家能够从数量上精确地推知群体的进化演变, 不仅克服了经典的群体遗传学通常只能研究群体遗传结构短期变化的局限性, 而且可检验以往关于长期进化或遗传系统稳定性推论的可靠程度。同时, 对群体中分子序列变异式样的研究也使人们开始重新审视达尔文的以“自然选择”为核心的进化学说。到目前为止, 分子群体遗传学已经取得长足的发展, 阐明了许多重要的科学问题, 如一些重要农作物的DNA多态性式样、连锁不平衡水平及其影响因素、种群的变迁历史、基因进化的遗传学动力等, 更为重要的是, 在分子群体遗传学基础上建立起来的新兴的学科如分子系统地理学等也得到了迅速的发展。文中综述了植物分子群体遗传研究的内容及最新成果。     

植物种群生存力分析研究进展

对十多年来国外植物PVA的研究进行了综合评述;具体分析了影响植物种群生存力的各种随机性因子及确定性因子;总结了植物PVA研究的方法步骤及采用的模拟模型;探讨了植物PVA的难点,PVA对管理措施的评价效果;并提出对今后植物PVA的研究展望,认为PVA是研究濒危植物种群灭绝及评价管理或保护措施的有力工具;发展描述复杂种间关系的多种种的PVA模型以及包含多个影响因素的PVA应用模型是未来植物PVA的研究方向。     

苎麻叶绿体SSR引物筛选及分析

叶绿体微卫星标记为单亲遗传(除部分裸子植物外),有独立的进化路线,它在植物遗传多样性、群体遗传结构、系统发育分析及杂种鉴定等研究上用途广泛,是研究谱系地理的有效手段。苎麻的主产地和主要分布区均在我国,但其谱系地理研究目前尚未见有报道。该研究选择来自全国不同地区的52个苎麻样本,利用聚丙烯酰胺凝胶电泳法,在23对已知通用叶绿体SSR引物中筛选出适用于苎麻谱系地理研究的SSR引物,并利用筛选到的多态引物对52个苎麻样本进行聚类分析和单倍型网络图分析。结果表明:从23对通用引物中共筛选出16对适用于苎麻的多态引物,其平均多态信息含量为0.1053,虽然以上引物多态性较低,但能够用于野生苎麻的遗传分析研究;这52个苎麻样本聚为10支,分为8个单倍型,初步分析表明叶绿体SSR遗传变异速率较慢,不适用于苎麻种内的系统发育研究,但以上引物能够检测苎麻种内单倍型变异,可用于苎麻的谱系地理研究。     

Demography or selection on linked cultural traits or genes? Investigating the driver of low mtDNA diversity in the sperm whale using complementary mitochondrial and nuclear genome analyses

Mitochondrial DNA has been heavily utilized in phylogeography studies for several decades. However, underlying patterns of demography and phylogeography may be misrepresented due to coalescence stochasticity, selection, variation in mutation rates and cultural hitchhiking (linkage of genetic variation to culturally‐transmitted traits affecting fitness). Cultural hitchhiking has been suggested as an explanation for low genetic diversity in species with strong social structures, counteracting even high mobility, abundance and limited barriers to dispersal. One such species is the sperm whale, which shows very limited phylogeographic structure and low mtDNA diversity despite a worldwide distribution and large population. Here, we use analyses of 175 globally distributed mitogenomes and three nuclear genomes to evaluate hypotheses of a population bottleneck/expansion vs. a selective sweep due to cultural hitchhiking or selection on mtDNA as the mechanism contributing to low worldwide mitochondrial diversity in sperm whales. In contrast to mtDNA control region (CR) data, mitogenome haplotypes are largely ocean‐specific, with only one of 80 shared between the Atlantic and Pacific. Demographic analyses of nuclear genomes suggest low mtDNA diversity is consistent with a global reduction in population size that ended approximately 125,000 years ago, correlated with the Eemian interglacial. Phylogeographic analysis suggests that extant sperm whales descend from maternal lineages endemic to the Pacific during the period of reduced abundance and have subsequently colonized the Atlantic several times. Results highlight the apparent impact of past climate change, and suggest selection and hitchhiking are not the sole processes responsible for low mtDNA diversity in this highly social species.     

Climate,not Aboriginal landscape burning,controlled the historical demography and distribution of fire-sensitive conifer populations across Australia

Climate and fire are the key environmental factors that shape the distribution and demography of plant populations in Australia. Because of limited palaeoecological records in this arid continent, however, it is unclear as to which factor impacted vegetation more strongly, and what were the roles of fire regime changes owing to human activity and megafaunal extinction (since ca 50 kya). To address these questions, we analysed historical genetic, demographic and distributional changes in a widespread conifer species complex that paradoxically grows in fire-prone regions, yet is very sensitive to fire. Genetic demographic analysis showed that the arid populations experienced strong bottlenecks, consistent with range contractions during the Last Glacial Maximum (ca 20 kya) predicted by species distribution models. In southern temperate regions, the population sizes were estimated to have been mostly stable, followed by some expansion coinciding with climate amelioration at the end of the last glacial period. By contrast, in the flammable tropical savannahs, where fire risk is the highest, demographic analysis failed to detect significant population bottlenecks. Collectively, these results suggest that the impact of climate change overwhelmed any modifications to fire regimes by Aboriginal landscape burning and megafaunal extinction, a finding that probably also applies to other fire-prone vegetation across Australia.