青岛裙带菜孢子体野生种群遗传多样性的AFLP分析

采用优化的基因组总DNA提取方法,按照经典的AFLP分析路线,对30株青岛近海野生裙带菜(Undaria pinnatifida)孢子体种群内遗传多样性进行了AFLP分析.利用1对引物扩增出38条清晰可重复的带,其中32条呈现多态性,多态位点比例为84.21%,根据引物扩增的指纹图谱,计算出的种群内部平均观测等位基因数(Na)为1.8421、平均有效等位基因数(Ne)为1.375 4、平均基因多样性指数,即Nei's基因多样性指数(H)为0.235 1,Shannon's 多样性信息指数(I)为0.368 4.该种群内遗传距离的分布范围从0.026 7～0.804 4,结果显示,野生种群内个体间各项遗传指数水平均较高,种群内遗传变异丰富.聚类分析表明,在遗传距离为0.21的阈值处,30个个体划分为2大类群,推测青岛野生裙带菜进化上在遗传距离为0.21时发生第一次分化.     

大竹蛏(Solen grandis)不同地理群体遗传多样性的AFLP分析

应用AFLP分子标记技术对我国沿海大竹蛏(Solen grandis)群体的遗传多样性进行了分析,利用筛选出的7对AFLP引物,对丹东、烟台、莱州、日照和南通5个地理群体的141只大竹蛏个体进行了扩增,共得到了403个位点,片段大小在100—700bp之间。其中丹东、烟台、莱州、南通4个群体的大竹蛏遗传多样性水平接近,日照群体的多态位点比例高于其它4个群体,结合Shannon’s信息指数(I)和Nei’s基因多样性指数(H)看,日照群体的遗传多样性水平最高,而南通群体的遗传多样性水平最低。AMOVA分析得到群体间遗传分化系数Φst=0.2250(P<0.001),群体间的变异百分率为22.5%,群体内为77.5%,说明群体的遗传变异主要来源于群体内个体间的遗传差异,但群体间也存在一定程度的基因渗透。     

黑鲪(Sebastes schtegeli)遗传多样性的等位酶研究

应用垂直板聚丙烯酰胺凝胶电泳(PAGE)技术,对分别取自青岛、日照、荣成、长岛的野生黑鲪及荣成黑鲪人工繁育的F1代共5个群体的等位酶多态性进行分析.结果表明,分析的5个群体13种等位酶的25个基因座位中,多态位点比例(P)为36.0%-20.8%,平均每个位点的预期杂合度(He)为0.076-0.036,平均每个位点的实际杂合度(Ho)为0.063-0.040,证明所选5个群体具有较高的遗传多态性.5个群体之间遗传距离(D)为0.024-0.001,根据遗传距离进行UPGMA聚类分析,5个群体聚类次序与亲缘关系和地理位置表现出明显的正相关关系,长岛群体与其它四个群体间遗传距离最大(0.024-0.020),达到居群间差异水平.     

萼花臂尾轮虫(Brachionus calyciflorus)COI基因序列变异及种群遗传结构分析

利用线粒体细胞色素氧化酶亚基Ⅰ(cytochrome oxidaseⅠ，COI)基因序列对北京地区和江汉湖群部分湖泊萼花臂尾轮虫(Brachionus calyciflorus)种群遗传结构进行了初步分析。以特异引物进行PCR扩增，获得了661bp的基因片断序列，所得序列与Genbank中B．calyciflorus COI序列的同源性为82％—93％。在6个种群中，共获得了15种单元型。序列分析结果表明，不同季节单元型之间的遗传距离较大(0．248-0．263)，而在同一季节单元型之间遗传距离较小(0．002-0．031)。种群遗传结构分析表明，各种群之间无共享的单元型，同一季节不同湖泊种群之间存在着一定程度的遗传分化，但未按照地理位置形成明显的地理格局。按采样时间分组进行AMOVA分析，组间差异高达94．09％；DH-I与其他种群之间存在着明显的遗传分化。同一湖泊不同季节样品之间，遗传变异较大，这表明在同一湖泊存在着不同基因型的轮虫休眠卵，当环境条件发生了变化后，不同基因型之间会发生更迭。     

中国东南沿海地区球状伪镖水蚤种群遗传多样性及遗传结构研究

为了探究球状伪镖水蚤群体的遗传多样性及其遗传结构,本研究以线粒体细胞色素氧化酶Ⅰ（mtCOⅠ）基因作为分子标记,提取了中国东南沿海地区5个采样点135只球状伪镖水蚤个体的基因组DNA并进行分析。结果表明：在获得的580bp的COⅠ基因序列中,碱基A+T的平均含量为63.4%,明显高于G+C的含量（36.6%）,显示出较强的AT偏好性。5个采样群体共检测到49个多态位点和38个单倍型,单倍型多样性指数（h：0.6285—0.9214）和核苷酸多样性指数（π：0.00766—0.02010）均处于较高水平,各群体之间遗传距离为0.009—0.031。系统进化树和单倍型网络图显示：5个采样群体聚成多个支系;除广州与顺德、上海与无锡以外,其他各采样群体之间均具有显著遗传分化;5个采样群体可以划分为3个种群。中性检验和核苷酸不配对分布显示,各种群均未经历过种群扩张事件。     

鼠尾藻微卫星标记开发及青岛群体遗传多样性分析

分离了鼠尾藻14个微卫星标记并用这些标记分析了鼠尾藻青岛群体遗传多样性和遗传结构。开发的14个标记在青岛群体中共检测到45个等位基因,各标记位点等位基因数在2和6之间,平均3.2个,平均有效等位基因2.1个,群体香农信息指数、观测杂合度、基因多样性指数、多态信息含量分别为0.799、0.449、0.466和0.406。青岛鼠尾藻种群体遗传多态性中等偏高。青岛4个鼠尾藻采集点的56个鼠尾藻个体在聚类图上无明显聚群和谱系。开发的标记将促进鼠尾藻遗传资源评价、保护和开发利用。     

中国北方沿海6个栉孔扇贝群体的AFLP分析

利用4对AFLP引物首次对我国北方沿海主要的6个栉孔扇贝养殖区的自然采苗群体进行了遗传多样性分析,共扩增得到191条清晰带谱,其中175条具有多态性。对各群体进行遗传多样性分析,结果表明各群体均具有较高的遗传多样性水平,香农式多样性指数在0.347 4～0.391 7之间。AMOVA结果表明遗传变异主要来源于群体内,占总遗传变异的87.22%。个体聚类结果表明,烟台、长岛、大连3个群体的个体聚在一起,可看做1个群体;而荣成群体的个体单独聚在一起,具有独立的遗传结构;胶南和日照的一部分个体聚在一起,其他大部分各群体单独聚在一起;推测是海洋环境和人工养殖影响的共同结果。     

中华鲟随机扩增多态性DNA及遗传多样性研究

采用随机扩增多态性ＤＮＡ（ＲＡＰＤ）技术进行了连续３年（１９９５－１９９７）共７０尾来源于长江水系中华鲟样本遗传分析,共用了４０个１０ｂｐ长的随机引物,在２６种可供分析的引物中,只有ＯＰＫ０１、ＯＰＫ０２、ＯＰＫ０３、ＯＰＫ０９、ＯＰＫ１４和ＯＰＱ０８ＲＡＰＤ－ＰＣＲ产物有多态现象,多态引物占２３％。２６个引物中共扩增出１０８条稳定的ＤＮＡ带。其中１２条带为多态带,多态座位比例为１１．１％。个体间     

黄、渤海地区青蛤(Cyclina sinensis)种群的ITS序列遗传变异与遗传结构分析

利用核糖体RNA的转录间隔区（ITS1）序列分析方法,以日本青蛤种群为外群,初步讨论了黄、渤海地区6个野生青蛤种群遗传变异和遗传结构。采用AMOVA方法对获得的24种单倍型序列进行了遗传变异水平和等级剖分。结果表明,ITS序列核酸多态性参数Pi为0．01973,Eta值为0．04624。青蛤各种群内的遗传变异水平较高,约占总变异的37．8％。但遗传变异的主要来源于不同组团（日本海与黄、渤海）,其变异达到总量的61．36％。黄、渤海地区青蛤种群间的遗传距离在0．00311-0．14914之间,P检验没有出现显著差别,说明该地区青蛤种群没有出现遗传分化,并存在7种共享单倍型序列,种群间有一定的基因交流。日本种群与黄、渤海地区各种群的遗传距离在0．44803-0．54122之间,经P检验均出现了显著性差异,形成了明显的地理隔离及遗传分化格局。     

基于Cyt b 基因序列的中国沿海4个长蛸(Octopus variabilis)群体的种群遗传结构分析

采用线粒体Cytb基因测序技术研究了我国不同海域4个长蛸(Octopus variabilis)群体的种群遗传结构。结果表明,232bp的Cytb基因片段在4个群体90个个体中共检测到38个多态位点、12个单倍型,单倍型多样性指数H达0.854±0.015,核苷酸多样性指数Pi达0.059±0.005,平均核苷酸多样性指数K达13.526,显示出较高的遗传变异。种群遗传结构分析表明,4个群体间均存在极显著的遗传分化(P<0.01),除大连与青岛两群体间外,其它两两群体间的基因流均小于1。聚类分析表明,4个群体明显分化为三大类群,一个类群由大连和青岛群体组成,一个由温州群体组成,另一个由东山群体组成;遗传距离分析表明,东山类群与其它类群之间可能为亚种水平的分化,而其它类群之间仍为种内群体间分化。长蛸这种种群遗传结构形成原因可能与其较弱的种群扩散能力有关,另外冰川期地理历史因素及我国海域的洋流作用可能也参与了长蛸种群遗传结构的形成。     

Microbial Biomass and Organic Nutrients in the Deep-Sea Sediments of the Central Indian Ocean Basin

In order to assess the impact of deep-sea mining on the in situ benthic life, we measured the microbial standing stock and concentration of organic nutrients in the deep-sea sediments of the Central Indian Ocean Basin in the Indian pioneer area. Sediments were collected using box core and grab samples during September 1996. The total bacterial numbers ranged from 10 10 -10 11 cells per g -1 dry weight sediment. There was a marginal decrease in the number of bacteria from surface to 30 cm depth, though the subsurface section registered a higher number than did the surface. The highest numbers were encountered at depths of 4-8 cm. The retrievable number of bacteria were two orders less in comparison with the direct total counts of bacteria. An almost homogeneous distribution of bacteria, total organic carbon, living biomass, and lipids throughout the depth of cores indicates active microbial and benthic processes in the deep sea sediments. On the other hand, a uniform distribution of total counts of bacteria, carbohydrates, and total organic carbon in all the cores indicates their stable nature and suggests that they can serve as useful parameters for long-term monitoring of the area after the benthic disturbance. Further studies on temporal variability in this region would not only verify the observed norms of distribution of these variables but would also help to understand restabilization processes after the simulated benthic disturbance.     

海上大直径钢管桩打桩过程中桩周土强度弱化研究

海上大直径钢管桩打桩过程中,桩周土体受到强烈扰动而发生强度弱化,掌握桩周土体强度弱化规律对于准确预测打桩过程、保证工程安全具有重要意义。为研究土体强度弱化规律,开展了环剪试验模拟打桩对桩周土体的扰动,测试土体强度随剪切速率的变化规律,建立了描述土体强度弱化规律的拟合公式,引入到打桩分析软件中。研究结果表明：土体的强度折减程度不仅与土体本身的性质有关还受到土体的埋深和剪切速率的影响,埋深越深土体强度折减程度越低,剪切速率越高土体强度折减越高,在打桩分析中可采用这里推荐的线性折减方法来模拟不同深度处土体强度的折减规律。     

Geoacoustic Inversion via Genetic Algorithm and Its Application to Manganese Sediment Identification

An acoustic inversion method using a wide-band signal and two near field receivers is proposed and applied to multiple layered seabed models including a manganese sediment. The inversion problem can be formulated into a probabilistic model comprised of signals, a forward model, and additive noise. The forward model simulates wide-band signals, such as chirp signals, and is chosen to be the source-waveletconvolution plane wave modeling method. The wavelet matching technique, using weighted least-squares fitting, estimates the sediment sound-speed and thickness on which determination of the possible numerical ranges for a priori uniform distribution is based. The genetic algorithm is applied to a global optimization problem to find a maximum a posteriori solution for determined a priori search space. Here the object function is defined by an L 2 norm of the difference between measured and modeled signals. Not only the marginal pdf but also its statistics are calculated by numerical evaluation of integrals using the samples selected during importance sampling process of the genetic algorithm.     

A Review of Some Environmental Issues Affecting Marine Mining

This article reviews information recently available from existing marine and coastal mining for responses to environmental issues affecting marine mining at different depths. It is particularly but not exclusively concerned with those issues affecting seabed biodiversity impact and recovery. Much information has been gathered in the past 10 years from shallow mining operations for construction aggregate, diamonds, and gold, from coastal mines discharging tailings to shallow and deep water, and from experimental deep mining tests. The responses to issues identified are summarized in a series of eight tables intended to facilitate site-specific consideration. Since impacts can spread widely in the surface mixing layer SML, and can affect the biologically productive euphotic zone, the main issues considered arise from the depth of mining relative to the SML of the sea. Where mining is below the SML, the issue is whether it is environmentally better to bring the extraction products to the surface vessel for processing (and waste discharge), or to process the extraction products as much as possible on the seabed. Responses to the issues need to be sitespecific, and dependent on adequate preoperational environmental impact and recovery prediction. For deep tailings disposal from a surface vessel, there are four important environmental unknowns: (1) the possible growth of "marine snow" (bacterial flocs) utilizing the enormous quantities of fine tailings particles (hundreds or thousands of metric tons per day) as nuclei for growth, (2) the possibility that local keystone plankton and nekton species may migrate diurnally down to and beyond the depth of deep discharge and hence be subjected to tailings impact at depth, (3) the burrow-up capability of deep benthos and their ability to survive high rates of tailings deposition, and (4) the pattern and rate of dispersion of a tailings density current through the deep water column from discharge point to seabed. Actions to obtain relevant information in general and site-specifically are suggested.     

Increased Particle Fluxes at the INDEX Site Attributable to Simulated Benthic Disturbance

Particle fluxes were measured 7 m above the sea bottom during the predisturbance, disturbance, and postdisturbance periods by using time series sediment traps attached to seven deep-sea moorings deployed in the INDEX experiment site in the Central Indian Basin. The predisturbance particle fluxes varied between 22.3 to 55.1 mg m -2 day -1 . Increased and variable particle fluxes were recorded by the sediment traps during the disturbance period. The increase observed was 0.5 to 4 times more than the background predisturbance fluxes. The increases in particle fluxes (~4 times) recorded by the sediment trap located in the southwestern direction (DMS-1) were the greatest, which could be the result of preferential movement of resuspended particles generated during the deep-sea benthic disturbance along the general current direction prevailing in this area during the experimental period. Also, the traps located closer to the disturbance area recorded greater fluxes than did the traps far away, across the Deep Sea Sediment Resuspension System path. This variability in recorded particle fluxes by the traps around the disturbance area clearly indicates that physical characteristics such as grain size and density of the resuspended particles produced during the disturbance had an important effect on particle movement. The postdisturbance measurements during ~5 days showed a reduction in particle fluxes of ~50%, indicating rapid particle settlement.     

Determination of In Situ Sediment Shear Strength from Advanced Piston Corer Pullout Forces

The advanced piston corer (APC) has been used by the Ocean Drilling Program since 1985 for recovering soft sediments from the ocean floor. The pullout force measured on extracting the core barrel from the sediment is shown to correlate with the average shear strength of the sediment core measured in the ship's laboratory. A simple rule of thumb is derived relating the shear strength of the sediment to the pullout force. Multiple APC holes at individual sites allow the consistency of the pullout measurements to be assessed. The effects of different operational procedures during APC coring are also explored. Although generally applicable, the correlation between pullout force and laboratory measurements of shear strength breaks down for some APC holes, possibly because of the disturbance of some sediment types during the APC coring process. A better understanding of the physical process of APC coring, and its effect on the properties of the sediment both inside and immediately outside the core barrel, would indicate what confidence can be put on the measurement of pullout force as a way of evaluating the in situ shear strength of deep sea sediments.     

Phylogenetic diversity and phenotypic characterization of cultivable bacterioplankton isolated from polar oceans

A set of 27 marine planktonic bacteria isolated from the polar regions was characterized by 16S rDNA sequencing and physiological and biochemical testing. More than half of these bacteria were positive for caseinase, gelatinase and 13-glucosidase, and could utilize glucose, maltose or malic acid as carbon source for cell growth. Twelve isolates expressed nitrate reduction activities. Except for one antarctic isolate BSwlO175 belonging to Actinobacteria phylum, these isolates were classified as γ-Proteobacteria, suggesting that γ-Proteobacteria dominated in cultivable marine bacterioplankton at both poles. Genus Pseudoalteromonas was the predominant group in the Chukchi Sea and the Bering Sea, and genus ShewaneUa dominated in cultivable bacterioplankton in the Prydz Bay. With sequence similarities above 97%, genus Psychrobacter was found at both poles. These 27 isolates were psychrotolerant, and significant 16S rDNA sequence similarities were found not only between arctic and antarctic marine bacteria （ 〉 99% ）, but also between polar marine bacteria and bacteria from other aquatic environments （ ≥ 98.8% ）, including temperate ocean, deep sea, pond and lake, suggesting that in the polar oceans less temperature-sensitive bacteria may be cosmopolitan and have a bipolar, even global, distribution at the species level.     

Deep-Sea Sediment Compression Curves: Some Controlling Factors, Spurious Overconsolidation, Predictions, and Geophysical Reproduction

Oedometer tests have been carried out on 70 undisturbed surficial clays (at approximately 250 mm below the mudline), mostly collected by free-fall corers from sites widely scattered throughout the deep-sea North Atlantic. Acoustic measurements were also made, initially on contiguous samples and ultimately on the same sample using a geophysically instrumented oedometer which also collected electrical resistivity data. Apart from those quiescent areas below the carbonate compensation depth, such as north of the West Indies where very fine clays exist, most of the samples are silty clays whose geotechnical-geophysical properties are dependent on the type of clay minerals present (and their ability to take in moisture), the sand-size fraction, and the quantity of carbonate present. Thus the pure clays have high compressibilities which decrease on the addition of coarse particles, while the converse is true for the acoustic parameters, these increasing with the sand fraction. Using the notion of the intrinsic compression line for all samples, and comparison to it of the measured compression curves, it is clear that, contrary to some previously held ideas, most deep-sea clays are normally consolidated; the addition of carbonate has the effect of creating an open, stronger sediment skeleton. Interestingly, where information is available, the variation with depth of a sample's acoustic velocity follows the void ratio pressure relationship of the compression curve. This allows the construction of an in-situ sediment compression curve using the in-situ geophysical observations.