固氮树木丛枝菌根真菌(AMF)遗传多样性的研究

丛枝菌根是自然生态系统中分布最广的内生菌根，在促进植物生存与生长、植被恢复以及生物多样性保护等方面有着非常重要的作用。 随着现代分子生物学技术的不断发展，丛枝菌根真菌研究得到空前发展。大量DNA分析新技术在丛枝菌根真菌的分子遗传、分类鉴定、种间及种内亲缘关系、菌株持久性等方面得到应用，与传统菌根研究方法相比，表现出巨大的优越性。 本项研究利用分子生物学技术和研究方法对中国吉林长白山地区非豆科固氮植物以及东北地区固氮树木的丛枝菌根真菌DNA分子多态性及其与宿主植物之间的相互关系等进行初步研究，旨在利用分子生态学理论和研究方法揭示丛枝菌根真菌多样性及其与宿主植物之间相互适应和协同进化的一般规律，为更好地保护和利用这一重要的微生物资源提供理论依据。 通过比较与筛选，建立起丛枝菌根真菌痕量DNA快速、简便、高效的提取纯化方法——改良CTAB法。经PCR检测，所得DNA满足进一步研究的要求。 根据丛枝菌根真菌18s rRNA 小亚基核基因片段的特点，利用“科”特异性引物进行半巢式标记PCR (Labelled Primers-PCR，LP-PCR) 及单链构象多态性（Single-Stranded Conformation Polymorphism，SSCP）分析技术研究了长白山赤杨在属水平上表现出的多样性。另外，利用巢式PCR-RFLP技术，分别对来源于长白山不同海拔的四种赤杨菌根样品的AMF侵染情况及其系统进化进行了研究。利用AMF特异性PCR技术对我国东北地区四种非豆科树木和5种豆科树木菌根侵染情况和系统发育规律进行了研究 研究结果显示：赤杨根内AMF存在丰富的基因多样性。AMF的侵染有从宿主混乱性向宿主专一性发展的趋势。 长白山地区赤杨属植物至少有东北赤杨、西伯利亚赤杨和色赤杨三个树种在其“属”的水平上与共生的球囊霉科（Glomaceae）至少一个“种” 的丛枝菌根真菌，即根内球囊霉（Glomus intraradix），在“种”的水平上表现出不相关于宿主海拔高度的某种相互选择性。 东北赤杨AMF菌的宿主专一性水平最强，球囊霉属已成为东北赤杨的优势侵染类群；对于其余三种赤杨，AMF则出现宿主混乱现象。宿主因素比海拔因素对AMF侵染特异性的影响更为重要。 豆科与非豆科样本的混乱性都比较强，在特定植物和AMF属之间无特异侵染规律，相对来说，非豆科树木比豆科树木对于AMF的选择性要更强一些，更倾向于和球囊霉属与无梗孢囊霉属的AMF构建共生体。

固氮树木丛枝菌根真菌（AMF）遗传多样性的研究

丛枝菌根是自然生态系统中分布最广的内生菌根，在促进植物生存与生长、植被恢复以及生物多样性保护等方面有着非常重要的作用。 随着现代分子生物学技术的不断发展，丛枝菌根真菌研究得到空前发展。大量DNA分析新技术在丛枝菌根真菌的分子遗传、分类鉴定、种间及种内亲缘关系、菌株持久性等方面得到应用，与传统菌根研究方法相比，表现出巨大的优越性。 本项研究利用分子生物学技术和研究方法对中国吉林长白山地区非豆科固氮植物以及东北地区固氮树木的丛枝菌根真菌DNA分子多态性及其与宿主植物之间的相互关系等进行初步研究，旨在利用分子生态学理论和研究方法揭示丛枝菌根真菌多样性及其与宿主植物之间相互适应和协同进化的一般规律，为更好地保护和利用这一重要的微生物资源提供理论依据。 通过比较与筛选，建立起丛枝菌根真菌痕量DNA快速、简便、高效的提取纯化方法——改良CTAB法。经PCR检测，所得DNA满足进一步研究的要求。 根据丛枝菌根真菌18s rRNA 小亚基核基因片段的特点，利用“科”特异性引物进行半巢式标记PCR (Labelled Primers-PCR，LP-PCR) 及单链构象多态性（Single-Stranded Conformation Polymorphism，SSCP）分析技术研究了长白山赤杨在属水平上表现出的多样性。另外，利用巢式PCR-RFLP技术，分别对来源于长白山不同海拔的四种赤杨菌根样品的AMF侵染情况及其系统进化进行了研究。利用AMF特异性PCR技术对我国东北地区四种非豆科树木和5种豆科树木菌根侵染情况和系统发育规律进行了研究 研究结果显示：赤杨根内AMF存在丰富的基因多样性。AMF的侵染有从宿主混乱性向宿主专一性发展的趋势。 长白山地区赤杨属植物至少有东北赤杨、西伯利亚赤杨和色赤杨三个树种在其“属”的水平上与共生的球囊霉科（Glomaceae）至少一个“种” 的丛枝菌根真菌，即根内球囊霉（Glomus intraradix），在“种”的水平上表现出不相关于宿主海拔高度的某种相互选择性。 东北赤杨AMF菌的宿主专一性水平最强，球囊霉属已成为东北赤杨的优势侵染类群；对于其余三种赤杨，AMF则出现宿主混乱现象。宿主因素比海拔因素对AMF侵染特异性的影响更为重要。 豆科与非豆科样本的混乱性都比较强，在特定植物和AMF属之间无特异侵染规律，相对来说，非豆科树木比豆科树木对于AMF的选择性要更强一些，更倾向于和球囊霉属与无梗孢囊霉属的AMF构建共生体.

Test and evaluation of the AMF, Inc. and Fairchild Industries experimental safety vehicles. Volume II. ESV program summary. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Test and evaluation of the AMF, Inc. and Fairchild Industries experimental safety vehicles. Volume III. ESV program summary. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Test and evaluation of the AMF, Inc. and Fairchild Industries experimental safety vehicles. Volume IV. ESV program summary. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Test and evaluation of the AMF, Inc. and Fairchild Industries experimental safety vehicles. Volume 1. ESV program summary. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

AMF-C

Each issue has a distinctive title.

AMF

Each issue has a distinctive title.

Expression exogène du récepteur du facteur autocrine de motilité (AMF-R) dans les cellules COS-7

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

Expression exogène du récepteur du facteur autocrine de motilité (AMF-R) dans les cellules COS-7

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

Development of accident modification factors on intersection crash maneuvers

In order to estimate the safety impact of roadway interventions engineers need to collect, analyze, and interpret the results of carefully implemented data collection efforts. The intent of these studies is to develop Accident Modification Factors (AMF's), which are used to predict the safety impact of various road safety features at other locations or in upon future enhancements. Models are typically estimated to estimate AMF's for total crashes, but can and should be estimated for crash outcomes as well. This paper first describes data collected with the intent estimate AMF's for rural intersections in the state of Georgia within the United Sates. Modeling results of crash prediction models for the crash outcomes: angle, head-on, rear-end, sideswipe (same direction and opposite direction) and pedestrian-involved crashes are then presented and discussed. The analysis reveals that factors such as the Annual Average Daily Traffic (AADT), the presence of turning lanes, and the number of driveways have a positive association with each type of crash, while the median width and the presence of lighting are negatively associated with crashes. The model covariates are related to crash outcome in different ways, suggesting that crash outcomes are associated with different pre-crash conditions.

Empirical investigation of interactive highway safety design model accident prediction algorithm : Rural intersections

One major gap in transportation system safety management is the ability to assess the safety ramifications of design changes for both new road projects and modifications to existing roads. To fulfill this need, FHWA and its many partners are developing a safety forecasting tool, the Interactive Highway Safety Design Model (IHSDM). The tool will be used by roadway design engineers, safety analysts, and planners throughout the United States. As such, the statistical models embedded in IHSDM will need to be able to forecast safety impacts under a wide range of roadway configurations and environmental conditions for a wide range of driver populations and will need to be able to capture elements of driving risk across states. One of the IHSDM algorithms developed by FHWA and its contractors is for forecasting accidents on rural road segments and rural intersections. The methodological approach is to use predictive models for specific base conditions, with traffic volume information as the sole explanatory variable for crashes, and then to apply regional or state calibration factors and accident modification factors (AMFs) to estimate the impact on accidents of geometric characteristics that differ from the base model conditions. In the majority of past approaches, AMFs are derived from parameter estimates associated with the explanatory variables. A recent study for FHWA used a multistate database to examine in detail the use of the algorithm with the base model-AMF approach and explored alternative base model forms as well as the use of full models that included nontraffic-related variables and other approaches to estimate AMFs. That research effort is reported. The results support the IHSDM methodology.

Bayesian methodology incorporating expert judgment for ranking countermeasure effectiveness under uncertainty: Example applied to at grade railroad crossings in Korea

This paper describes the formalization and application of a methodology to evaluate the safety benefit of countermeasures in the face of uncertainty. To illustrate the methodology, 18 countermeasures for improving safety of at grade railroad crossings (AGRXs) in the Republic of Korea are considered. Akin to “stated preference” methods in travel survey research, the methodology applies random selection and laws of large numbers to derive accident modification factor (AMF) densities from expert opinions. In a full Bayesian analysis framework, the collective opinions in the form of AMF densities (data likelihood) are combined with prior knowledge (AMF density priors) for the 18 countermeasures to obtain ‘best’ estimates of AMFs (AMF posterior credible intervals). The countermeasures are then compared and recommended based on the largest safety returns with minimum risk (uncertainty). To the author's knowledge the complete methodology is new and has not previously been applied or reported in the literature. The results demonstrate that the methodology is able to discern anticipated safety benefit differences across candidate countermeasures. For the 18 at grade railroad crossings considered in this analysis, it was found that the top three performing countermeasures for reducing crashes are in-vehicle warning systems, obstacle detection systems, and constant warning time systems.

Pre-cropping with canola decreased Pratylenchus thornei populations, arbuscular mycorrhizal fungi, and yield of wheat.

Root-lesion nematode (Pratylenchus thornei) significantly reduces wheat yields in the northern Australian grain region. Canola is thought to have a 'biofumigation' potential to control nematodes; therefore, a field experiment was designed to compare canola with other winter crops or clean-fallow for reducing P. thornei population densities and improving growth of P. thornei-intolerant wheat (cv. Batavia) in the following year. Immediately after harvest of the first-year crops, populations of P. thornei were lowest following various canola cultivars or clean-fallow (1957-5200 P. thornei/kg dry soil) and were highest following susceptible wheat cultivars (31 033-41 294/kg dry soil). Unexpectedly, at planting of the second-year wheat crop, nematode populations were at more uniform lower levels (<5000/kg dry soil), irrespective of the previous season's treatment, and remained that way during the growing season, which was quite dry. Growth and grain yield of the second-year wheat crop were poorest on plots previously planted with canola or left fallow due to poor colonisation with arbuscular mycorrhizal (AM) fungi, with the exception of canola cv. Karoo, which had high AM fungal colonisation and low wheat yields. There were significant regressions between growth and yield parameters of the second-year wheat and levels of AMF following the pre-crop treatments. Thus, canola appears to be a good crop for reducing P. thornei populations, but AM fungal-dependence of subsequent crops should be considered, particularly in the northern Australian grain region.