孑遗植物水杉的遗传多样性研究

采用随机扩增多态DNA(RAPD)方法对孑遗植物水杉 (Metasequoiaglyptostroboides)的 8个居群 (包括 6个孑遗居群和 2个人工栽培居群 )的 48个个体进行了遗传多样性研究。用 16个随机引物共扩增出清晰谱带 5 7条。孑遗居群平均多态位点百分率为 38.6 %。各居群多态位点百分率差异显著 ( 10 .5 3%～ 33 .33 % ) :湖北利川的小河和桂花 2个居群较高 ,分别是 33 .33%和 31.5 8% ;湖南龙山洛塔居群较低 ,为 10 .5 3 %。人工栽培居群中 ,美国密西根州和湖北武汉 2个居群的多态位点百分率也较低 ,仅分别为 10 .5 3 %和 8.77%。用POPGENE 1.31版软件进行数据处理后结果如下 :孑遗居群的平均Nei’s基因多样性为 0 .130 5 ,Shannon’s遗传多样性信息指数为 0 .192 1,水杉孑遗居群遗传距离与地理距离的相关系数r =0 .2 346 6 (P =73 .2 7% ) ,基因分化系数Gst=0 .10 82 ,表明居群间有一定分化。用UPGMA方法聚类可知 ,2个人工居群与湖北利川居群优先聚类。鉴于目前水杉孑遗居群生境人为破坏严重、遗传多样性较低和原生母树分布分散 ,建议在湖北利川小河和桂花野生水杉最适生境建立水杉遗传多样性保护点 ,将现有的 2 5 0多株原生母树分别采种育苗定植于保护点 ,以达到最大限度地保存现有水杉遗传多样性的目的。     

濒危物种--巴东木莲等位酶遗传变异的空间自相关分析

采用空间自相关分析方法对巴东木莲目前残留的两个最大居群, 小溪居群的40个个体和桑植居群的28个个体等位酶遗传变异的空间结构进行了研究, 以揭示两居群遗传变异的空间模式, 并探讨其形成机制及与巴东木莲致濒原因、过程之间的关系。根据检测出来的8个酶系统的19个酶位点, 选择基因频率大于0 1小于0 9的等位基因, 运用等样本频率和等地理距离间隔两种方法分别计算两居群不同距离等级下的Moran’sI空间自相关系数。结果表明: 小尺度的小溪居群等位基因的遗传变异缺乏空间结构, 为随机分布模式。巴东木莲生境片断化的桑植居群则是相反的结果, 遗传变异存在明显的空间结构, 遗传变异空间分布为斑块状。造成这种差别的原因可能是桑植居群片断化和地理隔离造成的基因流的限制。上述结果为进一步制定有效的巴东木莲的保育措施提供科学的理论依据。     

濒危物种——巴东木莲等位酶遗传变异的空间自相关分析

采用空间自相关分析方法对巴东木莲目前残留的两个最大居群,小溪居群的40个个体和桑植居群的28个个体等位酶遗传变异的空间结构进行了研究,以揭示两居群遗传变异的空间模式,并探讨其形成机制及与巴东木莲致濒原因、过程之间的关系。根据检测出来的8个酶系统的19个酶位点,选择基因频率大于01小于09的等位基因,运用等样本频率和等地理距离间隔两种方法分别计算两居群不同距离等级下的Moran''s I空间自相关系数。结果表明：小尺度的小溪居群等位基因的遗传变异缺乏空间结构,为随机分布模式。巴东木莲生境片断化的桑植居群则是相反的结果,遗传变异存在明显的空间结构,遗传变异空间分布为斑块状。造成这种差别的原因可能是桑植居群片断化和地理隔离造成的基因流的限制。上述结果为进一步制定有效的巴东木莲的保育措施提供科学的理论依据。     

用分子标记揭示植物随机大居群中亚居群的遗传结构——茅栗自然居群空间遗传结构的SSR分析

 采用微卫星标记对茅栗（Castanea sequinii）随机大居群以及其中各亚居群的遗传结构进行了空间自相关分析,以探讨植物自然居群内遗传变异的分布特征及其形成机制。通过9对微卫星引物所产生的119个多态位点,测定了大别山区域内茅栗居群以及各亚居群的空间自相关系数Moran's I值。结果表明：大别山分布的野生茅栗为一个缺乏空间结构的随机大居群,茅栗亚居群之间频繁的花粉流削弱了地理隔离导致的遗传漂变或分化作用在维系居群随机遗传结构中具有的重要作用。但是,在接近亚居群大小的地域范围内（0.228 km） 具有一定的空间结构,即小地域尺度中的亚居群存在着空间遗传结构。取样的3个亚居群在小格局范围内都存在一定的空间结构,遗传变异基本上呈非随机分布,在短距离内（61 m）3 个亚居群一致表现出不同程度的显著正相关,而随着距离的增加,Moran'sI值虽然在不同亚居群间存在一定差异变化,但是总体而言趋向预期值,即不存在空间结构,说明其遗传变异 在亚居群内只是在短距离内形成一定的空间结构。研究认为有限的种子散播以及微生境选择等因素可能是产生这种小格局的遗传结构的主要原因。上述研究结果有助于进一步了解植物随机大居群的进化历史和生态过程,同时也为栗属植物中国特有种的保育策略提供了科学依据。     

准噶尔无叶豆5个自然居群ISSR遗传变异的空间自相关分析

采用空间自相关分析方法对准噶尔无叶豆(Eremosparton songoricum)5个居群遗传变异的空间结构进行了研究。根据8对ISSR引物扩增的多态性位点,选择了基因频率在30–70%的ISSR位点,运用GenAlEx6和SAAP4.3软件以及地理距离间隔方法分别计算了5个居群的空间自相关系数。结果表明:准噶尔无叶豆居群具有明显的空间遗传结构,绝大多数ISSR位点变异呈非随机分布。位于沙漠腹地的B、D居群和位于沙漠东缘的F居群的遗传变异呈现渐变模式,分别在7m,7m及9m范围内个体呈现显著正相关,推测与克隆繁殖占绝对优势、有性更新罕见发生有关,而克隆大小的差别则主要由微生境差异所引起。位于沙漠北缘的G居群的遗传变异呈现双向渐变模式,在3m内个体呈现显著正相关,这与该居群实生幼苗增补密切相关,但花粉和种子的有限散布所导致的距离隔离对该居群空间遗传结构产生了重要影响。而沙漠腹地的A居群呈现衰退模式,是因为小居群增加了近交的几率,并引起了遗传漂变。     

华中特有珍稀植物裸芸香的AFLP遗传多样性分析

采用选择性扩增片段多态性(AFLP)方法对华中特有单种属植物裸芸香(Psilopeganum sinense)的8个自然居群的遗传多样性进行了检测与分析。结果表明:裸芸香的遗传多样性较低,且居群内遗传多样性显著低于物种水平遗传多样性。筛选出的5对引物共得到180个位点,76个为多态位点,多态位点百分率为42.2%,8个居群多态位点百分率为:3.3%～16.7%,居群平均多态位点百分率为9.4%;8个居群Nei多样性指数为0.01987～0.06987,Shannon’s多样性指数为0.0197～0.0816。居群间分化系数Gst=0.5069,居群间基因流为0.2432,不足以维持居群间的基因交流及现有的遗传结构。AMOVA分析表明总遗传变异的13.17%存在于4个地理区域之间,50.45%存在于地理区域内的居群间,36.38%的遗传变异存在于居群内个体间。NTSYS分析表明遗传距离与地理距离不存在相关关系。UPGMA聚类结果表明长江南北两岸的居群并没有产生明显分化。最后,分析了裸芸香的濒危原因并提出了有效的保育措施。     

8个栽培水杉居群遗传多样性的等位酶分析

水杉(Metasequoia glyptostroboides)是我国特有的活化石植物,有50多年的栽培历史。栽培水杉在多大程度上涵盖了野生水杉的遗传多样性,是评价水杉保育策略成功与否的关键所在。为了评估水杉栽培居群的遗传变异水平,作者采用超薄平板微型聚丙烯酰胺等电聚焦电泳方法对水杉的8个人工栽培居群的等位酶变异和遗传多样性进行了研究。对9个酶系统23个酶位点的检测结果表明: 有8个酶位点的等位基因频率分布差异非常显著, 在2个居群中存在稀有等位基因;平均等位基因数Ａ=1.375,多态位点百分率PPL=33.15,平均预期杂合度H_e=0.161。与孑遗居群相比,　栽培水杉的遗传变异水平偏低,表明栽培居群的遗传多样性不能完全涵盖孑遗居群。将采于潜江的9个丛枝水杉（Metasequoia glyptostroboides var.caespitosa）样品与分别采自潜江、武汉和上海的各9个水杉样品的等位酶资料进行了UPGMA单株聚类分析,并将丛枝水杉作为一个居群与其他8个水杉居群作UPGMA聚类分析,其结果不支持将丛枝水杉作为水杉的一个变种的分类处理。     

猕猴桃自然居群SSR遗传变异的空间自相关分析

本研究采用空间自相关分析方法对同域分布的中华猕猴桃(Actinidiachinensis)和美味猕猴桃(A.deliciosa)自然居群SSR遗传变异的空间结构进行了研究,以探讨猕猴桃自然居群遗传变异的分布特征。选用的9对SSR引物在两物种中共扩增出104个等位基因。选择频率在20–80%的SSR等位基因,运用等样本对频率方法分别对同域分布的中华猕猴桃和美味猕猴桃各1个居群及其中华/美味猕猴桃复合居群进行了空间自相关系数Moran’sI值计算。结果表明:中华猕猴桃和美味猕猴桃的遗传变异在居群内均存在着一定程度的空间结构,尽管近半数或半数以上的等位基因在居群内表现为随机分布的空间模式,但也有相当比例(29.6–48.0%)的等位基因在种内居群中和复合居群中(河南西峡51.0%,陕西商南44.7%)呈现渐变、衰退、双向衰退或侵扰模式。而且其居群内遗传变异的空间分布规律,不论是在种内还是复合居群中都基本一致:相距在100m以内,特别是30m范围内的个体间的等位基因表现出显著性的正相关,但随着地理距离的增大逐渐显示出负相关,说明猕猴桃属植物的有效传粉距离可能在100m左右,种子散播主要集中在30m的近距离内。猕猴桃自然居群遗传变异的空间结构是其传粉和种子散播等生物学特性与生境共同作用的结果,其中种子近距离的散播、花粉传播的有限距离及人为干扰是最主要的因素。本研究结果揭示了这两个近缘物种居群遗传变异的空间分布特征及相互关系,有助于进一步探讨猕猴桃属植物的遗传变异、居群扩散及其地理系统发育进化等方面的规律,并为制定相应的保育策略和措施提供基础数据和科学依据。     

中国板栗居群间等位酶基因频率的空间分布

中国板栗21个自然群间等位酶遗传变异的空间自相关分析及F－统计分析结果表明：其多数等位基因频率在居群间呈随机分布模式,缺乏一定的空间结构;而部分等位基因表现为渐变或双向渐变的非随机分布模式,又具有特定空间结构。中国板栗遗传变异空间结构模式的形成可能是长距离基因流、自然气候、人类活动、地理距离隔离等诸因素综合作用的结果。文中还就居群等位基因分布格局的成因进行了讨论：在第四纪冰川后,中国板栗以长江流域中下游的孑遗中心为起点,等位基因分别沿着向北和向南的不同方向迁移形成现在的居群结构;季风气候和人类活动干扰是削弱居群分化的主要因素,而基于环境梯度的选择,是形成由北向南渐变分布的原因。     

中国栗疫病菌群体遗传结构的空间自相关性分析

应用空间自相关分析方法对中国栗疫病菌17个居群RAPD遗传变异的空间结构进行研究,以探讨栗疫病菌居群遗传变异的分布特征及其形成机制。结果表明：中国栗疫病菌居群缺乏空间结构,绝大多数RAPD位点变异为随机分布的空间模式,但部分位点表现出渐变、斑块和双向渐变的非随机分布模式,又显示了一定的空间结构。推测其形成原因可能是长距离的基因流、人类活动、地理隔离以及栗疫病菌本身的繁殖特性综合作用的结果,并依据部分位点呈单向渐变的模式推测西南地区为中国栗疫病菌的起源中心。     

Fine-scale spatial genetic structure of an endangered marsh herb, Caldesia grandis (Alismataceae)

The endangered marsh herb, Caldesia grandis, is native to China. We investigated the spatial structure of the genetic variation of three populations of C. grandis using RAPD markers and spatial autocorrelation analysis, based on the method of equal distance interval. A total of 157 individuals were sampled from four patches collected from the region of Hunan and Yunnan Provinces, China. Among the polymorphic bands generated by seven selective primers, polymorphic bands with frequencies ranging from 20 to 80% were used to calculate Moran's I spatial autocorrelation coefficient for each patch. We found significant spatial structure of genetic variation in the three patches in Bei Hai (BH) (patches BH-1 and BH-2) and Guai Hu (GH) (patch GH-1) populations of C. grandis (with significant positive autocorrelation within the short distance class). In contrast, the genetic variation in the Lang Pan Hu (LPH) population (patch LPH-1) was found to be randomly distributed. The different spatial distribution patterns may be attributed to environment differences. These results have implications for the conservation and management of this species, especially for sampling strategies for ex situ conservation.     

Analysis of within-population spatial genetic structure in Antirrhinum microphyllum (Scrophulariaceae)

Random amplified polymorphic DNA (RAPD) markers were used to study the spatial genetic structure in two populations (Bolarque and Entrepe?as) of endangered cliff specialist Antirrhinum microphyllum Rothm. (Scrophulariaceae). Mantel tests found no significant linear correlations between geographic and genetic data. However, redundancy analysis (RDA) models developed using the spatial data as the constraining matrix were highly significant, and spatial data explained 13.6% and 11.1% of total genetic variation in Bolarque and Entrepe?as, respectively. Moran's I correlograms and Mantel correlograms revealed a positive autocorrelation in the first distance class (15 m), which suggests a patchy distribution of genetic diversity. This distribution is consistent with the genetic vicinities that are expected from the territorial behavior of main pollinator Rhodanthidium sticticum (Megachilidae), the predominant short-distance seed dispersal, and the patchy spatial distribution of available safe sites. The gradient pattern obtained in Entrepe?as was consistent with standard isolation-by-distance models. However, a differential sinusoidal pattern was obtained in Bolarque, which would indicate a more frequent gene flow between patches and might be due to lower plant density there. The spatial genetic structure coexists with a strict self-incompatibility system in the species. Simplified RDA models obtained using a stepwise forward selection comprised the easting component in Entrepe?as and the easting and northing components in Bolarque. Similar results were obtained with directional correlograms. These differential patterns can be explained by the distinct spatial arrangement of the populations (linear and bidimensional in Entrepe?as and Bolarque, respectively).     

Subpopulation genetic structure of a plant panmictic population of Castanea sequinii as revealed by microsatellite markers

Castanea squinii Dode,an endemic tree widely distributed in China,plays an important role both in chestnut breeding and forest ecosystem function.The spatial genetic structure within and among populations is an important part of the evolutionary and ecological genetic dynamics of natural populations,and can provide insights into effective conservation of genetic resources.In the present study,the spatial genetic structure of a panmictic natural population of C.sequinii in the Dabie Mountain region was investigated using microsatellite markers.Nine prescreened microsatellite loci generated 29-33 alleles each,and were used for spatial autocorrelation analysis.Based on Moran's I coefficient,a panmictic population of C.sequinii in the Dabie Mountain region was found to be lacking a spatial genetic structure.These results suggest that a high pollen-mediated gene flow among subpopulations counteract genetic drift and/or genetic differentiation and plays an important role in maintaining a random and panmictic population structure in C.sequinii populations.Further,a spatial genetic structure was detected in each subpopulation's scale (0.228 km),with all three subpopulations showing significant fine-scale structure.The genetic variation was found to be nonrandomly distributed within 61 m in each subpopulation (Moran's I positive values).Although Moran's I values varied among the different subpopulations,Moran's I in all the three subpopulations reached the expected values with an increase in distances,suggesting a generally patchy distribution in the subpopulations.The fine-scale structure seems to reflect restricted seed dispersal and microenvironment selection in C.sequinii.These results have important implications for understanding the evolutionary history and ecological process of the natural population of C.sequinii and provide baseline data for formulating a conservation strategy of Castanea species.     

Genetic structure of Camellia japonica L. in an old-growth evergreen forest, Tsushima, Japan

The spatial genetic structure of Camellia japonica was investigated, using microsatellite markers, in a 4-ha permanent plot within an old-growth forest. Spatial distribution of individuals was also assessed to obtain an insight into spatial relationships between individuals and alleles. Morisita's index of dispersion showed that 518 C. japonica individuals in the plot were clumped, and Moran's I spatial autocorrelation coefficient revealed weak genetic structure, indicating a low level of allele clustering. Average I correlograms showed that there was stronger genetic structure over short-distance classes. The clumped distribution of individuals and the positive autocorrelation over short-distance classes may result from the limited seed dispersal and microsite heterogeneity of the stand, while the genetic structure may be weakened by overlapping seed shadow and extensive pollen flow, mediated by animal vectors, and the high outcrossing rate found in C. japonica.     

A heterogeneity test for fine-scale genetic structure

For organisms with limited vagility and/or occupying patchy habitats, we often encounter nonrandom patterns of genetic affinity over relatively small spatial scales, labelled fine-scale genetic structure. Both the extent and decay rate of that pattern can be expected to depend on numerous interesting demographic, ecological, historical, and mating system factors, and it would be useful to be able to compare different situations. There is, however, no heterogeneity test currently available for fine-scale genetic structure that would provide us with any guidance on whether the differences we encounter are statistically credible. Here, we develop a general nonparametric heterogeneity test, elaborating on standard autocorrelation methods for pairs of individuals. We first develop a 'pooled within-population' correlogram, where the distance classes (lags) can be defined as functions of distance. Using that pooled correlogram as our null-hypothesis reference frame, we then develop a heterogeneity test of the autocorrelations among different populations, lag-by-lag. From these single-lag tests, we construct an analogous test of heterogeneity for multilag correlograms. We illustrate with a pair of biological examples, one involving the Australian bush rat, the other involving toadshade trillium. The Australian bush rat has limited vagility, and sometimes occupies patchy habitat. We show that the autocorrelation pattern diverges somewhat between continuous and patchy habitat types. For toadshade trillium, clonal replication in Piedmont populations substantially increases autocorrelation for short lags, but clonal replication is less pronounced in mountain populations. Removal of clonal replicates reduces the autocorrelation for short lags and reverses the sign of the difference between mountain and Piedmont correlograms.     

Clonal and fine-scale genetic structure in populations of a restricted Korean endemic, Hosta jonesii (Liliaceae) and the implications for conservation

BACKGROUND AND AIMS: In plant populations the magnitude of spatial genetic structure of apparent individuals (including clonal ramets) can be different from that of sexual individuals (genets). Thus, distinguishing the effects of clonal versus sexual individuals in population genetic analyses could provide important insights for evolutionary biology and conservation. To investigate the effects of clonal spread on the fine-scale spatial genetic structure within plant populations, Hosta jonesii (Liliaceae), an endemic species to Korea, was chosen as a study species. METHODS: Using allozymes as genetic markers, spatial autocorrelation analysis of ramets and of genets was conducted to quantify the spatial scale of clonal spread and genotype distribution in two populations of H. jonesii. KEY RESULTS: Join-count statistics revealed that most clones are significantly aggregated at < 3-m interplant distance. Spatial autocorrelation analysis of all individuals resulted in significantly higher Moran's I values at 0-3-m interplant distance than analyses of population samples in which clones were excluded. However, significant fine-scale genetic structure was still observed when clones were excluded. CONCLUSIONS: These results suggest that clones enhance the magnitude of spatial autocorrelation due to localized clonal spread. The significant fine-scale genetic structure detected in samples excluding clones is consistent with the biological and ecological traits exhibited by H. jonesii including bee pollination and limited seed dispersal. For conservation purposes, genetic diversity would be maximized in local populations of H. jonesii by collecting or preserving individuals that are spaced at least 5 m apart.