利用16S-23S rDNA RFLP及16S rRNA基因序列分析方法对湖北省饭豆(Vigna umbellata L.)根瘤菌系统发育的研究

采用16S-23S rDNA间隔区段(IGS)PCR-RFLP与16S rRNA基因部分序列分析的方法对饭豆根瘤菌进行了遗传多样性及系统发育分析.由16S-23S rDNA IGS PCR-RFLP分析可知,所有菌株在52%的相似性水平上聚在一起,形成了慢生型菌群与快生型菌群这两大菌群.群Ⅰ中,在79%相似性的水平上分为ⅠA与ⅠB两个分支.群Ⅱ中,在62%相似性的水平上分为ⅡA与ⅡB两个分支,分支ⅡA在72%的相似性水平上进一步分为ⅡA1、ⅡA2和ⅡA3三簇;分支ⅡB中的饭豆根瘤菌与标准菌株USDA205T聚在一起,表现的差异并不大.由16SrRNA基因部分序列分析结果可知,供试的4个代表菌株分别位于不同的系统发育分支中.CYR4243与Sinorhizobium fredii的模式菌株USDA205T的序列相似性达到了99.87%.HCY1101与Rhizobium leguminosarum中的三叶草生物型(bv.trifolii)和豌豆生物型(bv.viceae)这两个生物型的参比菌株亲缘关系最近,序列相似性为100%.HCY5202与R.galegae亲缘关系最近,序列相似性为99.86%.CYY3302与Bradyrhizobium elkanii的参比菌株USDA86有最近的亲缘关系,序列相似性近似于100%.图4表1参13     

豆科树种刺槐、黄檀、合欢根瘤菌的数值分类及16S rDNA-PCR RFLP研究

测定了从豆科树种刺槐、黄檀、合欢根瘤中分离获得的51个菌株与18株参比菌株的唯一碳源、氮源利用，抗生素抗性，耐逆性和酶活性等132个表型性状，并用MINTS软件进行聚类分析，结果表明，全部供试菌株在59％的相似性水平上分为两大群：一个各为慢生菌群，另一群为快生和中慢生菌群，在85.1%的相似性水平上分为5个亚群，其中亚群4不与任何已知参比菌株聚在一起，可能为新种。同时，表型性状测定结果发现某些菌株对抗生素（300μg／mL）、温度（40℃）有较强抗性，大多数菌株能在较宽的pH值范围内生长（pH5-12），这些具有抗逆特性的菌株为我国西部大中种植豆科植物接种适宜的根瘤菌提供了宝贵的种质资源，在数值分类的基础上，又对47株菌进行了16S rD-NA-PCR RFLP分析，经SPSS软件聚类后，划分为7个亚群，在较大类群的划分上，与数值分类的结果有较好的一致性，16S rDNA-PCR RFLP遗传图谱共有30种类型。表型及遗传型分析结果表明，豆科树种根瘤菌具有极大的多样性，图2表2参14。     

陕甘宁地区根瘤菌数值分类与DNA同源性分析

在陕甘宁地区根瘤菌资源调查的基础上,选取其中与黄芪、岩黄蓍、木兰、鸡眼草及胡枝子共生的４０株快生根瘤菌和２５株参比菌株,对１３３项表型性状进行聚类分析,在８２％的相似性水平上构成５个不同于已知种的新亚群．对第１、２、３、４亚群ｘ（Ｇ＋Ｃ）／％测定及ＤＮＡ同源性分析结果表明,４个亚群ｘ（Ｇ＋Ｃ）／％含量均处于Ｒｈｉｚｏｂｉｕｍ属范围;各亚群内菌株ＤＮＡ同源性均在７５％以上,每个亚群中心菌株与１３个已知种模式菌株的ＤＮＡ同源性均小于６３％．从而证明,第１、２、３、４亚群为４个独立的快生根瘤菌新种群     

慢生型大豆根瘤菌的遗传多样性研究

采用选择性扩增片断长度多态性 (简称AFLP)DNA指纹技术对来自泰国北部的 2 45株慢生型大豆根瘤菌进行遗传多样性的研究 .通过AFLP图谱揭示出该地区的慢生型大豆根瘤菌有较显著的遗传多样性 .从 2 45株中选择出 92个代表株用计算机进行的树状图分析结果表明 ,所分析的菌株在 82 %的相似性水平上聚类成 8个群 .对这 92个代表株的部分菌株和慢生型大豆根瘤菌的参比菌株进行多聚酶链反应 (PCR)扩增的 16SrDNA的 4种限制性内切酶长度多态 (简称 16SrDNAPCR RFLP)分析 ,得出 2个不同的 16SrDNAPCR RFLP类型的菌株 ,分别与慢生型大豆根瘤菌的参比菌株Bradyrhizobiumjaponicum和Bradyrhizobiumelkanii相同 .图 1表 2参 14     

紫云英根瘤菌共生基因分布及其共生效应的多样性

从同一植株不同根瘤分离40株紫云英根瘤菌，所有菌株对10种抗生素的抗药性测定表明，该群体分为22个抗药类群，质粒检测显示所有公离株都含有质粒，质粒数1～4条，用快生型大豆根瘤菌USDA205质粒作参考，估测质粒Mr分布范围为83～226MU．根据图谱分析表明，该菌群可分为6个不同质粒型．各类型质粒通过与Dig-nodABC和Dig-nifHDK杂交，结果显示带有1条质粒的菌株其共生基因定位在染色体上．带有2条或2条以上质粒的菌株各拥有1条共生质粒，共生质粒Mr范围有差异，大约为117～220MU．研究结果也显示，不同质粒型的菌株其共生效应存在明显差异，其中第6质粒型的菌株共生固氮率最强，第1质粒型菌株共生固氮率较低．共生固氮能力最强的第6质粒型菌株，只占总菌数7．5％．     

我国蚕豆根瘤菌的多样性和系统发育研究

采用数值分类、16S rDNA PCR-RFLP、IGS PCR-RFLP等方法对分离自我国11个省的50株蚕豆根瘤菌及11株参比菌株进行了表型测定和遗传型研究,同时对5株蚕豆根瘤菌的代表菌株进行了16S rDNA全序列测定.表型测定的结果表明,在80%的相似水平上供试菌株分为4个群,各群间存在地区交叉;16S rDNA PCR-RFLP的聚类结果与数值分类的聚类结果有很好的一致性;IGSRFLP反映的多样性更明显,形成的遗传群较多,可用于菌株间的鉴别.实验结果表明我国蚕豆根瘤菌具有极大的表型多样性和遗传多样性.系统发育研究结果表明,蚕豆根瘤菌的代表菌株均位于快生根瘤菌属(Rhizobium)系统发育分支,与R.leguminosarum USDA2370的全序列相似性达99.9%,说明蚕豆根瘤菌属于Rhizobium,系豌豆根瘤菌的一个生物型.图4表3参12     

内蒙古中东部地区几种豆科牧草根瘤菌的表型多样性及水分梯度对其分布的影响

选用101株分离自扁蓿豆、胡枝子、野豌豆、锦鸡儿属植物的根瘤菌菌株，进行了营养利用、抗生素抗性、耐逆性和酶活性测定等84个表型性状分析，发现分离自同种寄主植物的根瘤菌由于地理来源的不相同而存在着较大的多样性．通过数值分类，各已知种分别聚群，101株未知菌在84％的相似水平上分为4个各不同的群．根据1、2、3、4群菌的聚类情况，结合在不同水分梯度下采集的豆科牧草根瘤菌，结果发现除个别菌外，绝大部分菌株呈现随着水分梯度的不同，各菌以类群形式分布．证明土壤中水分含量对根瘤菌的分布有很大影响．     

四川省部分豆科植物根瘤菌的遗传多样性

从四川省豆科植物鸡眼草属、合欢属、豇豆属、葛属、金合欢、杭子梢分离获得了103株根瘤菌,采用AFLP、BOXAIR-PCR研究了这些菌株的遗传多样性.结果表明,分离自四川省豆科植物6个属的根瘤菌存在明显的遗传多样性,AFLP分析中,全部供试菌株的相似性为21%,全部供试菌株可分为26个AFLP遗传群;BOXAIR-PCR聚类分析结果表明,103个菌株分在70%相似性水平处,供试菌株被分为18个BOX遗传群.除部分菌株外,多数根瘤菌按宿主类型聚群,同一宿主而地理来源不同的根瘤菌分布于不同的遗传群,表明宿主和地理环境对根瘤菌具有深刻影响.图3表1参9     

干旱地区几种豆科植物根瘤菌的数值分类和SDS-PAGE全细胞蛋白电泳分析

从新疆、内蒙干旱地区苜蓿属、草木樨属、锦鸡儿属植物的根瘤中分离出５４株根瘤菌,对其中４８株根瘤菌和２２株参比菌一起进行了数值分类研究,在８５％的相似性水平上,未知菌分为３个不同于已知种的新群．另加入６株分离自锦鸡儿属植物的根瘤菌,共７６株菌进行了全细胞蛋白ＳＤＳＰＡＧＥ分析,在８０％的相似性水平上,已知菌相应成群,未知菌除ＸＪ９６３４２在６８％的相似性水平上和群５、６、７、８、Ｒ．ｇａｌｅｇａ聚群外,其余未知菌则分布在４、５、６、７、８、９、１０七个群中．群４中所有菌株属于数值分类的群１;群６中有３株菌属于数值分类的群３;群９中有８株菌为数值分类群２的菌株．反映了两种方法在分类上得到的结果比较近似．     

应用AFLP技术对斜茎黄芪根瘤菌遗传多样性的分析研究

采用ＡＦＬＰ指纹图谱分析技术对来自我国不同地区的９５株斜茎黄芪根瘤菌及２４株已知根瘤菌的参比菌一起进行遗传多样性研究．结果表明,在５０％相似性水平上,全部菌株被分为３１个ＡＦＬＰ群,显示出极大的遗传多样性．相关性较高的菌株的聚类结果与先前的表型性状数值分析结果相一致．具相同ＡＦＬＰ指纹图谱的菌株都具有相同的生长速度,且其中大部分菌株来自我国同一地区,同时具很高的表型相似性．此外,本研究表明,ＡＦＬＰ指纹技术具更高的分辩率,更能揭示种内的遗传多样性     

Rapid,recurring, structured survey versus bioblitz for generating biodiversity data and analysis with a multispecies abundance model

A bioblitz inexpensively and quickly generates biodiversity data, but bioblitzes are often conducted with haphazard, unreplicated sampling. Results tend to be taxonomically, geographically, or temporally biased, lack metadata, and consist of lists of observed taxa that do not enable further analyses or correction for imperfect detection. A rapid, recurring, structured survey (RRSS) uses a structured sampling design and temporal and spatial replication to survey randomly selected sites on a conservation property. We participated in a loosely structured bioblitz and a subsequent RRSS at Big Canoe Creek Nature Preserve in Springville (St. Clair County), Alabama (USA) to compare observed richness derived from the 2 survey approaches. The RRSS data structure enabled us to fit models that accounted for imperfect detection to estimate abundances, occupancy probabilities, and habitat associations. The loosely structured bioblitz data could not be used in such models. We present a new integrated multispecies abundance model that we applied to avian RRSS data. Our model extension enables estimation for the community, employs data augmentation to estimate the number of undetected species, and incorporates covariates. The RRSS generated a more comprehensive and less biased list of observed taxonomic richness than the loosely structured bioblitz (e.g., 73 vs. 45 bird species and 104 vs. 63 insect families from the RRSS vs. loosely structured bioblitz, respectively). Models fit to the RRSS data identified seasonal patterns in avian community composition and allowed for estimation of habitat–occupancy relationships for insect taxa. The RRSS protocol has potential for broad transferability as a standardized, quick, and inexpensive way to inventory biodiversity and estimate ecological parameters while providing an outreach opportunity.     

Compliance with and ecosystem function of biodiversity offsets in North American and European freshwaters

Land-use change via human development is a major driver of biodiversity loss. To reduce these impacts, billions of dollars are spent on biodiversity offsets. However, studies evaluating offset project effectiveness that examine components such as the overall compliance and function of projects remain rare. We reviewed 577 offsetting projects in freshwater ecosystems that included the metrics project size, type of aquatic system (e.g., wetland and creek), offsetting measure (e.g., enhancement, restoration, and creation), and an assessment of the projects’ compliance and functional success. Project information was obtained from scientific and government databases and gray literature. Despite considerable investment in offsetting projects, crucial problems persisted. Although compliance and function were related to each other, a high level of compliance did not guarantee a high degree of function. However, large projects relative to area had better function than small projects. Function improved when projects targeted productivity or specific ecosystem features and when multiple complementary management targets were in place. Restorative measures were more likely to achieve targets than creating entirely new ecosystems. Altogether the relationships we found highlight specific ecological processes that may help improve offsetting outcomes.     

A palaeo-hydrogeological model for arsenic contamination in southern and south-east Asia

An argument is presented in which areas of natural arsenic contamination of modern groundwaters throughout Asia have a common origin. Arsenic originally accumulated in oceanic ferro-manganoan sediments of the eastern Palaeo-Tethys. This was further concentrated through oceanic crustal extinction in what later became the south-east Chinese accreted mineralised terrain. Proto-Himalayan uplift of this area created the palaeo-drainage systems of the Ganges – Brahmaputra, Irrawaddy, Mekong, and Red Rivers, with consequent headwater erosion of arsenic-rich sediments. Their downstream deposition as immature and easily redistributed Neogene sandstones, silts, and iron-rich clays has created secondary and tertiary reservoirs of adsorbed and authigenic arsenic, from which the current arsenic-rich groundwaters have evolved. Considering river basins within the above palaeo-hydrogeological framework provides a basis for assessing the risk of arsenic in groundwater basins of south and south-eastern Asia.     

Cost‐effective conservation of an endangered frog under uncertainty

How should managers choose among conservation options when resources are scarce and there is uncertainty regarding the effectiveness of actions? Well‐developed tools exist for prioritizing areas for one‐time and binary actions (e.g., protect vs. not protect), but methods for prioritizing incremental or ongoing actions (such as habitat creation and maintenance) remain uncommon. We devised an approach that combines metapopulation viability and cost‐effectiveness analyses to select among alternative conservation actions while accounting for uncertainty. In our study, cost‐effectiveness is the ratio between the benefit of an action and its economic cost, where benefit is the change in metapopulation viability. We applied the approach to the case of the endangered growling grass frog (Litoria raniformis), which is threatened by urban development. We extended a Bayesian model to predict metapopulation viability under 9 urbanization and management scenarios and incorporated the full probability distribution of possible outcomes for each scenario into the cost‐effectiveness analysis. This allowed us to discern between cost‐effective alternatives that were robust to uncertainty and those with a relatively high risk of failure. We found a relatively high risk of extinction following urbanization if the only action was reservation of core habitat; habitat creation actions performed better than enhancement actions; and cost‐effectiveness ranking changed depending on the consideration of uncertainty. Our results suggest that creation and maintenance of wetlands dedicated to L. raniformis is the only cost‐effective action likely to result in a sufficiently low risk of extinction. To our knowledge we are the first study to use Bayesian metapopulation viability analysis to explicitly incorporate parametric and demographic uncertainty into a cost‐effective evaluation of conservation actions. The approach offers guidance to decision makers aiming to achieve cost‐effective conservation under uncertainty.     

Threats to intact tropical peatlands and opportunities for their conservation

Large, intact areas of tropical peatland are highly threatened at a global scale by the expansion of commercial agriculture and other forms of economic development. Conserving peatlands on a landscape scale, with their hydrology intact, is of international conservation importance to preserve their distinctive biodiversity and ecosystem services and maintain their resilience to future environmental change. We explored threats to and opportunities for conserving remaining intact tropical peatlands; thus, we excluded peatlands of Indonesia and Malaysia, where extensive deforestation, drainage, and conversion to plantations means conservation in this region can protect only small fragments of the original ecosystem. We focused on a case study, the Pastaza‐Marañón Foreland Basin (PMFB) in Peru, which is among the largest known intact tropical peatland landscapes in the world and is representative of peatland vulnerability. Maintenance of the hydrological conditions critical for carbon storage and ecosystem function of peatlands is, in the PMFB, primarily threatened by expansion of commercial agriculture linked to new transport infrastructure that is facilitating access to remote areas. There remain opportunities in the PMFB and elsewhere to develop alternative, more sustainable land‐use practices. Although some of the peatlands in the PMFB fall within existing legally protected areas, this protection does not include the most carbon‐dense (domed pole forest) areas. New carbon‐based conservation instruments (e.g., REDD+, Green Climate Fund), developing markets for sustainable peatland products, transferring land title to local communities, and expanding protected areas offer pathways to increased protection for intact tropical peatlands in Amazonia and elsewhere, such as those in New Guinea and Central Africa which remain, for the moment, broadly beyond the frontier of commercial development.     

Parasitic wasps orient to green leaf volatiles

Summary Undamaged plants emit low levels of green leaf volatiles (GLVs), while caterpillar-damaged and artificially damaged plants emit relatively higher levels of certain GLVs. Female braconid parasitoids,Microplitis croceipes, oriented to both damaged plants and to individual GLVs in no-choice tests in a wind tunnel, but seldom oriented to undamaged plants. Female ichneumonid parasitoids,Netelia heroica, also oriented to individual GLVs in a wind tunnel. Males of both wasp species failed to orient to the GLVs. These data show that leaf-feeding caterpillars can cause the release of GLVs, and that parasitic wasps can respond to these odors by flying upwind (chemoanemotactic response), which brings the wasps to their caterpillar hosts. This supports the hypothesis that plants communicate with members of the third trophic level,i.e., plants under herbivore attack emit chemical signals that guide natural enemies of herbivores to sites of plant damage. In this interaction, the GLVs serve as tritrophic plant-to-parasitoid synomones. That parasitoids from two different wasp families oriented to GLVs suggests that the response may be widespread among the Hymenoptera.Mention of a commercial or proprietary product does not constitute an endorsement by the U.S. Department of Agriculture     

Human Influence and Classical Biogeographic Predictors of Rare Species Occurrence

Biogeographic theory predicts that rare species occur more often in larger, less‐isolated habitat patches and suggests that patch size and connectivity are positive predictors of patch quality for conservation. However, in areas substantially modified by humans, rare species may be relegated to the most isolated patches. We used data from plant surveys of 81 meadow patches in the Georgia Basin of Canada and the United States to show that presence of threatened and endangered plants was positively predicted for patches that were isolated on small islands surrounded by ocean and for patches that were isolated by surrounding forest. Neither patch size nor connectivity were positive predictors of rare species occurrence. Thus, in our study area, human influence, presumably due to disturbance or introduction of competitive non‐native species, appears to have overwhelmed classical predictors of rare species distribution, such that greater patch isolation appeared to favor presence of rare species. We suggest conservation planners consider the potential advantages of protecting geographically isolated patches in human‐modified landscapes because such patches may represent the only habitats in which rare species are likely to persist. Influencia Humana y Predictores Biogeográficos Clásicos de la Ocurrencia de Especies Raras     

Seasonal dynamics of macro-algae in the South Lake of Tunis

The macro-algae communities observed in the south lake of Tunis are characterized by the predominance of nitrophilous algae which are in the order of biomass importance:Ulva, Cladophora andEnteromorpha. We have noted seasonal changes of alga distribution. The wind appears to be one of the most important factors influencing this distribution. The total biomass reaches a maximum in the spring. Rapid decomposition of the biomass leads to a severe ecological imbalance, resulting in crises of anoxia and fish death. A restoration project has already started. It aims at removal of contaminated muds and the introduction of a new circulation system. The main objectives of this work were to collect information on the distribution and biomass of the phytobenthic communities as a first step in the constitution of a database for further comparison.     

Patterns and biases of climate change threats in the IUCN Red List

International Union for Conservation of Nature (IUCN) Red List assessments rely on published data and expert inputs, and biases can be introduced where underlying definitions and concepts are ambiguous. Consideration of climate change threat is no exception, and recently numerous approaches to assessing the threat of climate change to species have been developed. We explored IUCN Red List assessments of amphibians and birds to determine whether species listed as threatened by climate change display distinct patterns in terms of habitat occupied and additional nonclimatic threats faced. We compared IUCN Red List data with a published data set of species’ biological and ecological traits believed to infer high vulnerability to climate change and determined whether distributions of climate change‐threatened species on the IUCN Red List concur with those of climate change‐threatened species identified with the trait‐based approach and whether species possessing these traits are more likely to have climate change listed as a threat on the IUCN Red List. Species in some ecosystems (e.g., grassland, shrubland) and subject to particular threats (e.g., invasive species) were more likely to have climate change as a listed threat. Geographical patterns of climate change‐threatened amphibians and birds on the IUCN Red List were incongruent with patterns of global species richness and patterns identified using trait‐based approaches. Certain traits were linked to increases or decreases in the likelihood of a species being threatened by climate change. Broad temperature tolerance of a species was consistently related to an increased likelihood of climate change threat, indicating counterintuitive relationships in IUCN assessments. To improve the robustness of species assessments of the vulnerability or extinction risk associated with climate change, we suggest IUCN adopt a more cohesive approach whereby specific traits highlighted by our results are considered in Red List assessments. To achieve this and to strengthen the climate change‐vulnerability assessments approach, it is necessary to identify and implement logical avenues for further research into traits that make species vulnerable to climate change (including population‐level threats).